2022

The storage space allocated to your Amazon DocumentDB (with MongoDB compatibility) cluster will now dynamically decrease when you delete data from the cluster. Amazon DocumentDB is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with Amazon Web Services, and enterprise-ready with high durability. Previously, when Amazon DocumentDB data was removed, such as by dropping a collection, the overall allocated space remained the same. The free space was reused automatically when data volume increased in the future.

Amazon RDS now allows you to have up to 20 concurrent snapshot copy requests per destination Region per account, an increase from the former limit of five concurrent copies per destination Region per account.

Amazon Fargate for Amazon Elastic Kubernetes Service (EKS) is now available in the Amazon Web Services China (Beijing) Region, operated by Sinnet, and the Amazon Web Services China (Ningxia) Region, operated by NWCD. Amazon Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. Amazon EKS is a managed container service to run and scale Kubernetes applications. Using Amazon Fargate serverless compute in your Amazon EKS clusters removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design.

Amazon WorkSpaces is introducing two new graphics bundles based on the EC2 G4dn family: Graphics.g4dn and GraphicsPro.g4dn. These bundles allow you to run graphics- and compute-intensive workloads on desktops in the cloud as cost-effective solutions for graphics applications that are optimized for NVIDIA GPUs using NVIDIA libraries such as CUDA, CuDNN, and Video Codec SDK. They come with the NVIDIA T4 Tensor Core GPU that features multi-precision Turing Tensor Cores and RT Cores, Amazon Web Services custom second generation Intel® Xeon® Scalable (Cascade Lake) processors, and the local NVMe storage designed for applications that require fast access to locally stored data.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports Apache Kafka version 3.1.1 and 3.2.0 for new and existing clusters. Apache Kafka 3.1.1 and Apache Kafka 3.2.0 includes several bug fixes and new features that improve performance. Some of the key features include enhancements to metrics and the use of topic IDs. MSK will continue to use and manage Zookeeper for quorum management in this release for stability. For a complete list of improvements and bug fixes, see the Apache Kafka release notes for 3.1.1 and 3.2.0.

Amazon OpenSearch Service now supports tag-based authorization for HTTP methods, making it easier for you to manage access control for data read and write operations. You can use Identity policies in Amazon Identity and Access Management (IAM) to define permissions for read and write HTTP methods, allowing coarse-grained access control of data on your Amazon OpenSearch Service domains.

Amazon Aurora Serverless v1 now supports in-place upgrade from MySQL 5.6 to 5.7. Instead of backing up and restoring the database to the new version, you can upgrade with just a few clicks using the Amazon Web Services Management Console or using the latest Amazon SDK or CLI. No new cluster is created in the process which means you keep the same endpoints and other characteristics of the cluster. The upgrade completes in minutes as no data needs to be copied to a new cluster volume. The upgrade can be applied immediately or during the maintenance window. Your database cluster will be unavailable during the upgrade. Review the Aurora documentation to learn more.

Amazon Lambda now supports Node.js 16 as both a managed runtime and a container base image in the Amazon Web Services China (Beijing) Region, Operated by Sinnet, and the Amazon Web Services China (Ningxia) Region, Operated by NWCD. Developers creating serverless applications in Lambda with Node.js 16 can take advantage of new features such as support for Apple silicon for local development, the timers promises API, and enhanced performance. For more information on Lambda’s support for Node.js 16, see our product documentation.

Amazon Keyspaces (for Apache Cassandra), a scalable, highly available, and fully managed Apache Cassandra-compatible database service, now helps you monitor your table-level storage costs through Amazon CloudWatch.

Amazon OpenSearch Service now offers support for search across region, enabling you to perform searches, aggregations, and visualizations across multiple Amazon OpenSearch Service domains in different region with a single query.

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports TDE enabled database migrations using Native Backup/Restore for Microsoft SQL Server. Previously, you would need to disable TDE on your on-premises TDE enabled SQL Server database in order to migrate to Amazon RDS. 

A new minor version of Microsoft SQL Server is now available on Amazon RDS for SQL Server in Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD, offering performance and security fixes. Amazon RDS for SQL Server supports the new minor version for Microsoft SQL Server 2014 on the Express, Web, Standard, and Enterprise Editions.

Starting today, the Amazon Cost Anomaly Detection is available in Amazon Web Services China (Ningxia) Region, operated by NWCD, and in Amazon Web Services China (Beijing) Region, operated by Sinnet. Amazon Cost Anomaly Detection is a free service that monitors your spending patterns to detect anomalous spend and provide root cause analysis. Customers can now reduce cost surprises and enhance control without slowing innovation.

Amazon Elastic File System (Amazon EFS) now supports sub-millisecond read latencies for all new and existing General Purpose file systems. Latency-sensitive applications such as content management systems, analytics, DevOps, and machine learning inference can now achieve read latencies as low as 600 microseconds on average.

We are excited to announce three updates to Amazon GameLift’s FlexMatch, an Amazon Web Services managed service. GameLift FlexMatch launched in 2017 as a feature that uses a powerful matchmaking algorithm and flexible developer-defined rules to create high-quality matches using Amazon Web Services scale.

Automated Materialized View (AutoMV) for Amazon Redshift helps lower query latency for repeatable workloads like dashboard queries minimizing the effort for manually creating and managing materialized views.

Following the announcement of updates in MySQL database versions 5.7 and 8.0, we have updated Amazon Relational Database Service (Amazon RDS) for MySQL to support MySQL minor versions 5.7.38, and 8.0.29 in Amazon Web Services China (Beijing) Region, operated by Sinnet, and in Amazon Web Services China (Ningxia) Region, operated by NWCD.

NoSQL Workbench for Amazon DynamoDB is a client-side application to help visualize and build scalable, high-performance data models. Starting today, NoSQL Workbench adds support for table and global secondary index (GSI) control plane operations such as CreateTable, UpdateTable, and DeleteTable.

Amazon Glue Interactive Sessions are now generally available in the Amazon Web Services China (Beijing) Region, operated by Sinnet, and the Amazon Web Services China (Ningxia) Region, operated by NWCD. They provide a new interface for Amazon Glue's highly scalable Serverless Spark environment. They support interactive data integration job development, data exploration, and on-demand distributed data processing for customers' own applications.

Amazon Relational Database Service (Amazon RDS) can now publish events to Amazon Simple Notification Service (Amazon SNS) topics that have server-side encryption (SSE) enabled, for additional protection of events that carry sensitive data. Amazon RDS groups events into categories that you can subscribe to so that you can be notified when an event in that category occurs, enabling routing and automation.

Amazon AppSync is a fully managed service that makes it easy to create and manage GraphQL and Real-time APIs, making it easy to securely access, manipulate, and combine data from one or more data sources via a single API endpoint. With GraphQL, special functions called Resolvers are used to implement business logic linking or “resolving” types, fields, or operations defined in the GraphQL schema with the data in data sources such as Amazon DynamoDB, Amazon Lambda, HTTP APIs, and more.

Amazon ElastiCache for Memcached now supports encryption of data in transit using Transport Layer Security (TLS) version 1.2. When using encryption in transit, all network traffic between your clients and Memcached cluster are encrypted.

Amazon Elastic Container Services (Amazon ECS) provides a Cluster Auto Scaling (CAS) capability to dynamically manage the scaling of your Amazon Elastic Compute Cloud (EC2) Auto Scaling groups (ASG) on your behalf, so that you can focus on running your containers. Capacity Providers is the compute interface that links your Amazon ECS cluster with your ASG. With Capacity Providers, you can define flexible rules for how containerized workloads run on different types of compute capacity, and manage the scaling of the capacity. Capacity Providers improve the availability, scalability, and cost of running tasks and services on ECS. Starting today, we are simplifying the integration mechanism between Capacity Providers and ASGs by directly integrating with target-tracking scaling policy instead of relying on Amazon Auto Scaling scaling plan.

Amazon ElastiCache for Memcached has added support for Memcached version 1.6.12. This version is a cumulative update and contains all changes and improvements between version 1.6.6 to 1.6.12.

Amazon ElastiCache for Redis and Amazon MemoryDB for Redis now support natively storing and accessing data in the JavaScript Object Notation (JSON) format. With this launch, application developers can more easily store, fetch, and update their JSON data inside Redis without needing to manage custom code for serialization and deserialization. Using ElastiCache and MemoryDB, you can now efficiently retrieve and update specific portions of a JSON document without needing to manipulate the entire object, which can improve performance and reduce cost. You can also search your JSON document contents using the JSONPath query syntax.

We’re excited to announce that Amazon IoT Device Management customers will now be able to create up to 100,000 Active Jobs per Amazon Web Services account per region. The prior limit was 1,000 Active Jobs per account per region. This new limit will apply to the total number of Jobs created - both continuous and snapshot jobs. Customers that require a large number of Active Jobs - for example, to apply bespoke configurations to thousands of individual targets in parallel – are now unblocked by this upgrade.

A new Billing console home page experience is now available in the Amazon Web Services China (Beijing) Region, operated by Sinnet and the Amazon Web Services China (Ningxia) Region, operated by NWCD. The Amazon Billing console allows you to easily understand your spend, view and pay invoices, manage billing preferences and tax settings, and access additional Cloud Financial Management services. The Billing console Home page helps Finance, DevOps, or FinOps users quickly understand Amazon Web Services spend and identify top drivers.

Today, Amazon EC2 announced the Stop Protection feature that enables customers to protect their instances from accidental stop actions. Previously, customers could protect their instances from unintentional terminate actions by enabling Termination Protection. With Stop Protection, customers with stateful workloads can safeguard data in instance store volume(s) from unintentional stop and terminate actions.

Customers can now deploy compute-intensive applications such as machine learning inferencing, multimedia processing, scientific simulations, HPC, and financial modeling that leverage Advanced Vector Extensions 2 (AVX2) to meet their performance requirements on Amazon Lambda in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD.

Starting today, when you create a new predictive scaling policy, Amazon EC2 Auto Scaling goes back 14 days to generate capacity forecasts for the past dates, enabling you to see how predictive scaling would have scaled your Auto Scaling group. This allows you to quickly decide if the predictive scaling policy is accurate for your applications by comparing the demand and capacity forecasts against the actuals immediately after you create a predictive scaling policy. Previously, you would have had to wait at least a few days after creating the policy to build up sufficient forecast history for the same comparison to determine the forecast accuracy.

Amazon App Mesh now supports IPv6 allowing customers to support workloads running in IPv6 networks and to invoke App Mesh APIs over IPv6. This helps customers to meet IPv6 compliance requirements, and removes the need for expensive networking equipment to handle address translation between IPv4 and IPv6.

Amazon Relational Database Service (Amazon RDS) for PostgreSQL announces support for PostrgreSQL 14 with three levels of cascaded read replicas, 5 replicas per instance, supporting a maximum of up to 155 read replicas per source instance. You can now create Single-AZ or Multi-AZ cascaded read replica DB instances in same region or any one cross region from another read replica instance, enabling you to build a more robust disaster recovery architecture.

The multiple IPv6 classless inter-domain routing (CIDR) blocks in a Virtual Private Cloud (VPC), enabling customer to attach up to 5 prefixes to their virtual network, is launched today.  Before today, customers could add up to 5 IPv4 CIDR blocks and 1 IPv6 block.  With this new feature, customers can now use multiple blocks to build logical separation within their VPCs with independent CIDR blocks.  

Amazon Relational Database Service (Amazon RDS) now offers customers the option to use Internet Protocol version 6 (IPv6) while accessing the RDS Service APIs.

Amazon Relational Database Service (Amazon RDS) now offers customers the option to use Internet Protocol version 6 (IPv6) addresses in their Virtual Private Cloud (VPC) on new and existing RDS instances. Customers moving to IPv6 can simplify their network stack by running their databases on a network that supports both IPv4 and IPv6.

Amazon Virtual Private Cloud (Amazon VPC) Traffic Mirroring now supports sending mirrored traffic to monitoring appliances behind a Gateway Load Balancer. This feature enables VPC Traffic Mirroring customers to centralize the out-of-band monitoring and inspection of network traffic across Amazon Web Services accounts and VPCs.

Amazon EFS Replication provides you with an easy way to keep an up-to-date copy of your file system in a second Amazon Web Services Region or within the same Region. Amazon EFS Replication enables you to replicate file data in a few clicks and without requiring you to manually provision additional infrastructure or a custom process to monitor and synchronize data changes. Amazon EFS Replication is designed to meet a recovery point objective (RPO) and recovery time objective (RTO) of minutes, enabling you to meet your business continuity and compliance requirements.

Amazon EC2 now emits notifications to Amazon CloudWatch Events for a variety of Amazon Machine Image (AMI) actions such as creation, registration and de-registration. With CloudWatch Events (CWE), you can establish rules that initiate programmatic actions in response to these changes.

Today we are announcing the general availability of 10 new data source connectors for Amazon Athena. With Athena, you can query data stored in relational, non-relational, object, and custom data sources without the need for ETL scripts to pre-process or copy data. This release expands the number of data sources you can query with Athena and helps analysts, data engineers, data scientists, and developers unlock business value from data stored in databases running on-premises or in the cloud.

Amazon CloudWatch now supports anomaly detection based on metric math expressions in Amazon Web Services China (Beijing) region, operated by Sinnet, and Amazon Web Services China (Ningxia) region, operated by NWCD. Amazon CloudWatch anomaly detection allows you to apply machine-learning algorithms to continuously analyze system and application metrics, determine a normal baseline, and surface anomalies with minimal user intervention. CloudWatch metric math allows you to aggregate and transform metrics to create custom visualizations of your health and performance metrics. Metric math supports basic arithmetic functions such as +,-,/,*, comparison and logical operators such as AND & OR, and a number of additional functions such as RATE and INSIGHT_RULE_METRIC. For example, with Amazon Lambda metrics you can divide the Errors metric by the Invocations metric to get an error rate, use anomaly detection to visualize expected values on a metric graph, and create an anomaly detection alarm to dynamically alert you when the value falls outside of the expected range.

Amazon EC2 now adds a new property called ‘lastLaunchedTime’ for owners of Amazon Machine Images (AMIs). This property helps AMI owners view the timestamp of the last time the AMI was used for an EC2 instance launch. It allows AMI owners to understand the usage of their AMIs, especially publicly-shared AMIs, and to make informed decisions about deprecating or deregistering their AMIs.

Today, we are pleased to announce the general availability of IoT Device Defender ListMetricValues API. Customers can now access historical device-side, cloud-side, and custom metrics from connected devices that belong to a security profile using ListMetricValues API. In addition to viewing the data in the Amazon IoT management console, customers now have the flexibility to programmatically monitor and build their own visualization. This new API is available in both Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD.

Amazon CloudTrail announces CloudTrail error rate Insights, a new feature of CloudTrail Insights that enables customers to identify unusual activity in their Amazon Web Services account based on API error codes and their rate.

New minor versions of Microsoft SQL Server are now available on Amazon RDS for SQL Server in Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD, offering performance and security fixes. Amazon RDS for SQL Server supports the new minor versions for Microsoft SQL Server 2016, 2017, and 2019 on the Express, Web, Standard, and Enterprise Editions.

Amazon IoT Secure Tunneling allows customers to access devices that are deployed behind restricted firewalls at remote sites. When a tunnel is created, a pair of client access tokens (CAT) will be generated and used by the source and destination devices to connect to the Secure Tunneling service. Prior to today, a token can be stored and reused, making it susceptible to malicious use. Now single-use tokens will be revoked after a successful connection. When the connection drops, instead of saving CATs to a local device and establishing a token re-delivery method, customers can call the RotateTunnelAccessToken API to deliver a new pair of CATs to the source and destination devices to resume connection with the original device in the predefined tunnel period. Once reconnected, customers can securely access and continue troubleshooting remote devices using Secure Tunneling.

Starting today, all public AMIs will have the deprecation time set to two years after their creation date. This means that public AMIs that are more than two years old will by default be deprecated. Once an AMI is deprecated, it will no longer appear in DescribeImages API calls for users that aren’t the owner of the AMI. Deprecating an AMI only reduces the visibility of the AMI in untargeted searches, but continues to be usable and available to you. Users of a deprecated AMI can continue to launch instances and describe the deprecated AMI using its ID.

Amazon Relational Database Service (Amazon RDS) Performance Insights now makes it easier for you to see the database performance metrics for the exact timeframe you want to analyze, by choosing a custom time window within your retention period. Previously, you could only see metrics in Performance Insights by choosing relative time intervals such as the past 1 hour, the past 24 hours, etc. Amazon RDS Performance Insights is a database performance tuning and monitoring feature of Amazon RDS and Amazon Aurora that helps you quickly assess the load on your database and determine when and where to take action. This helps non-experts to measure database performance with an easy-to-understand dashboard that visualizes database load. With one click, you can add a fully-managed performance monitoring solution to your Amazon Aurora clusters and Amazon RDS instances. Amazon RDS Performance Insights automatically gathers all necessary performance metrics and visualizes them in a dynamic dashboard on the Amazon RDS console. You can identify your database’s top performance bottlenecks from a single graph.

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the January 2022 Patch Set Update (PSU) for Oracle Database 12.1 and Release Updates (RU) for Oracle Database 12.2 and 19c in the Amazon Web Services China (Ningxia) Region, operated by NWCD, and the Amazon Web Services China (Beijing) Region, operated by Sinnet. Please note 21c is already shipped with January 2022 RU.

Amazon DocumentDB (with MongoDB compatibility) is now available in Amazon Web Services China (Beijing) Region, operated by Sinnet, adding to the list of available Amazon Web Services services you can use in this region.

Starting today, customers can view the creation date and public key material for existing and new key pairs created using Amazon EC2 key pairs. Customers will also be able to create ED25519 key pairs in ppk format in addition to pem format and use CloudFormation templates with key pairs. These features will be available in the Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD.

Amazon EC2 Auto Scaling Warm Pools now supports configuring your Auto Scaling group to return running instances to a Warm Pool on scale-in. With Warm Pools, you can scale out faster by bringing instances into service from a pre-initialized pool of EC2 instances. Warm Pools are a good fit for applications that have time consuming initialization steps — like loading gigabytes of data, provisioning services, or running custom scripts — that can take several minutes or longer before those EC2 instances are ready to serve traffic. Scale-in to Warm Pool saves you from having to rebuild a new Warm Pool instance during scale-in. Previously, EC2 Auto Scaling would terminate one of the running “in-service” instances during scale-in and then launch and pre-initialize a new instance to replenish the Warm Pool. Now, instances can be placed back into the Warm Pool in the desired state – stopped, or running, but idle.

Amazon Elastic Container Service (Amazon ECS) now supports managing on-premises workloads running on a Windows operating system with Amazon ECS Anywhere. Amazon ECS Anywhere is a capability of Amazon ECS that enables customers to more easily run and manage container-based applications on-premises, including virtual machines (VMs), bare metal servers, and other customer-managed infrastructure. Customers, who need to manage containerized workloads on-premises on Windows, can now more easily orchestrate these workloads using Amazon ECS Anywhere. With this capability, developers no longer need to run additional container orchestration software or convert their Windows-based workloads to Linux OS.

Amazon Lambda now supports Amazon MQ for RabbitMQ as an event source, allowing customers to quickly and easily build applications that are triggered from messages in their RabbitMQ queue. Amazon MQ is a managed message broker service for Apache ActiveMQ and RabbitMQ that makes it easy to set up and operate message brokers in the cloud. Customers can build applications quickly and easily with Lambda functions that are invoked based on messages posted to Amazon MQ message brokers without needing to worry about provisioning or managing servers.

Amazon Redshift now offers new enhancements for Audit Logging in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD. These enhancements enables faster delivery of logs for analysis by minimizing latency while also adding Amazon CloudWatch as a new log destination. With this release, customers can choose to stream audit logs directly to Amazon CloudWatch, which enables customers to perform real-time monitoring.

Today, Amazon announces the general availability of openCypher query language support with Amazon Neptune. Customers can now use openCypher with Amazon Neptune, giving them more choices to build or migrate graph applications to a highly available, secure, and fully managed graph database.

Amazon Keyspaces (for Apache Cassandra), a scalable, highly available, and fully managed Cassandra-compatible database service, now helps you read and write data in Apache Spark more easily by using the open-source Spark Cassandra Connector.

Amazon Aurora-PostgreSQL Compatible edition now supports Multi Major Version Upgrades which allows you to perform major version upgrades across multiple different major versions is now available in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD. 

Starting today, you can use Amazon Budgets to create auto-adjusting budgets. An auto-adjusting budget dynamically sets your budget amount based on historical cost or usage over a time range that you specify. This reduces the guesswork in setting a budget limit and keeps you updated as your spend patterns change. Auto-adjusting budgets are generally available in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD.

You can now access five new metrics when using Amazon PrivateLink for VPC Endpoints and VPC Endpoint Services. Amazon PrivateLink is a fully-managed private connectivity service that enables customers to access Amazon Web Services services, third-party services or internal enterprise services hosted on the Amazon Web Services service network in a secure and scalable manner while keeping network traffic private.

Amazon GuardDuty for EKS Protection is now available in the Amazon Web Services China (Beijing) Region, operated by Sinnet, and the Amazon Web Services China (Ningxia) Region, operated by NWCD. Amazon GuardDuty is a threat detection service that continuously monitors for malicious or unauthorized behavior to help customers protect their accounts, workloads, and data. Amazon GuardDuty for EKS Protection monitors Kubernetes audit logs to identify suspicious activity, such as API operations performed by known malicious or anonymous users, misconfigurations that can result in unauthorized access to Amazon Elastic Kubernetes Services (Amazon EKS) clusters, and patterns consistent with privilege-escalation techniques.

Today, Amazon EC2 announces automatic recovery by default, a new feature that makes it even easier for customers to recover their instance when it becomes unreachable. Automatic recovery improves instance availability by recovering the instance if it becomes impaired due to an underlying hardware issue. Automatic recovery migrates the instance to another hardware during an instance reboot while retaining its instance ID, private IP addresses, Elastic IP addresses, and all instance metadata.

Amazon DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA) table class is now available in the Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD. The DynamoDB Standard-IA table class is ideal for use cases that require long-term storage of data that is infrequently accessed, such as application logs, social media posts, e-commerce order history, and past gaming achievements.

Beginning April 1, 2022, the inter-Availability Zone (AZ) data transfer within the same Amazon Web Services Region for Amazon PrivateLink, and Amazon Transit Gateway is free of charge. Previously, customers incurred an inter-AZ data transfer charge for sending data across availability zones while using these networking services. With this pricing change, inter-AZ data transfer for these services is free of charge, making it even more cost-effective for customers to run multi-AZ workloads.

Amazon OpenSearch Service now allows you to use custom dictionaries with the IK (Chinese) Analysis plugin. With support for custom dictionaries, you can use your preferred keywords and synonyms with IK Analyzer to tailor search results to suit your business needs.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now offers an option to provision storage throughput for Amazon MSK, enabling customers with high throughput workloads to seamlessly scale I/O without having to provision additional brokers. By provisioning up to 1000 MiB/s of throughput to Amazon MSK storage volumes, you can scale I/O requirements past 250 MiB/s without having to provision additional brokers. When configured, you pay a low rate for the amount of storage throughput provisioned in the clusters.

Amazon DocumentDB (with MongoDB compatibility) Performance Insights is a database performance tuning and monitoring feature that helps you quickly assess the load on your database and determine when and where to take action.

Amazon RDS for SQL Server now supports SQL Server Agent job replication. With this new feature, SQL Server Agent jobs created, modified, or deleted on the primary instance will be automatically synchronized to the secondary instance in a Multi-AZ configuration.

Amazon OpenSearch Service now includes new observability interface and log monitoring features, that provide developers and devops engineers with the visibility and insights they need to diagnose performance and availability issues faster and reduce application downtime.

You can now publish the Redis engine log from your Amazon ElastiCache for Redis clusters to Amazon CloudWatch Logs and Amazon Kinesis Data Firehose. The Redis engine log provides visibility into the internal operations of the Redis engine, giving additional insight into Redis operations and helping you troubleshoot Redis issues. You can choose to send these logs in either JSON or text format to Amazon CloudWatch Logs and Amazon Kinesis Data Firehose.

Amazon Aurora now allows you to create clones between Aurora Serverless v1 and provisioned Aurora DB clusters to enable quick sharing of data.

Amazon OpenSearch Service now offers support for cross-cluster search on existing domains. Cross-cluster search enables you to perform searches and aggregations across multiple domains with a single query or from a single OpenSearch Dashboard interface. With this feature, you can separate heterogeneous workloads into multiple domains, which provides better resource isolation, and the ability to tune each domain for their specific workloads to improve efficiency and reduce costs.

Amazon AppSync is a fully managed service that enables developers to build digital experiences based on real-time data. You can easily and effortlessly configure any supported data source to push and publish real-time data updates to subscribed clients with connection management, scalability, fan-out and broadcasting all handled by AppSync, allowing you to focus on your application business use cases and requirements instead of dealing with the complex infrastructure to manage real-time WebSocket connections at scale.

You can now use Amazon PrivateLink to privately access the Amazon FSx Application Programming Interface (Amazon FSx API) from your Amazon Virtual Private Cloud (Amazon VPC) without using public IPs, and without requiring the traffic to traverse across the Internet.

Amazon OpenSearch Service now supports cross-cluster replication on existing domains. Cross-cluster replication enables you to automate copying and synchronizing of indices from one domain to another at low latency in same or different Amazon Web Services accounts or Regions. With cross-cluster replication, you can achieve high availability for your mission critical applications with sequential data consistency.

You can now run OpenSearch and OpenSearch Dashboards version 1.2 on Amazon OpenSearch Service. This version includes a new observability interface in OpenSearch Dashboards, improvements to several other features such as anomaly detection, k-NN, and SQL/PPL. 

You can now define a cutoff behavior for your maintenance tasks using Amazon Systems Manager Maintenance Windows, which allows you to stop or continue ongoing tasks when the cutoff time is reached. This provides DevOps and IT engineers with more control on the cutoff behavior to ensure disruptive tasks are not run outside the desired period. For instance, while registering an Automation task with a maintenance window, you can now set up the cutoff behavior to cancel ongoing tasks. This would ensure that no new task invocations are started when the cutoff time is reached.

Following the announcement of updates to the PostgreSQL database, we have updated Amazon Aurora with PostgreSQL compatibility to support PostgreSQL version 13.6, 12.10, 11.15, and 10.20 in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD. This release contains bug fixes and improvements done by the PostgreSQL community. As a reminder, Amazon Aurora PostgreSQL 10 will reach end of life on January 31, 2023.

Amazon Cloud Control API has expanded its availability to the Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD. Cloud Control API is a set of common application programming interfaces (APIs) that enable developers to manage their cloud infrastructure in a consistent manner and leverage the latest Amazon Web Services capabilities faster. Using Cloud Control API, developers can manage the lifecycle of hundreds of Amazon Web Services resources with five consistent APIs instead of using distinct service-specific APIs. With this launch, Amazon Web Services Partner Network (APN) Partners can now automate how their solutions integrate with existing and future Amazon Web Services through a one-time integration, instead of spending weeks of custom development work as new resources become available. Terraform by HashiCorp and Pulumi have integrated their solutions as part of this launch.

Amazon Elastic Container Service (Amazon ECS) today increased the default service quota for container instances per cluster. You can now launch up to 5,000 instances per cluster, an increase from 2,000. The limit increase enables customers to scale further and improve manageability of their clusters.

Amazon Aurora PostgreSQL-Compatible Edition now supports a foreign data wrapper that can connect to databases that use the Tabular Data Stream (TDS) protocol, such as Sybase databases and Microsoft SQL server. You can use this foreign data wrapper to connect to data sources in other databases eliminating the need to replicate or copy data.

Today, we are enabling you to centrally close members accounts in your Amazon Organizations through the console and programmatically via the Command Line Interface or SDK. The feature makes it easier and more efficient for you to manage your Amazon Web Services workloads by enabling you to close member accounts from your organization’s management account significantly simplifying the way you govern your multi-account infrastructure in Amazon Web Services.

Amazon Relational Database Service (Amazon RDS) for PostgreSQL adds support for tds_fdw which allows your PostgreSQL database to connect and retrieve data stored in separate SQL Server databases.

Amazon Relational Database Service (Amazon RDS) for PostgreSQL now supports PostgreSQL minor versions 14.2, 13.6, 12.10, 11.15, and 10.20. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the PostgreSQL community. Please refer to the PostgreSQL community announcement for more details about the release.

Amazon Relational Database Service (Amazon RDS) for PostgreSQL Foreign Data Wrappers are libraries for PostgreSQL databases that can communicate with an external data source, abstracting the details of connecting to the data source and obtaining data from it. mysql_fdw is a PostgreSQL extension that provides a Foreign Data Wrapper for easy and efficient access to Amazon Aurora MySQL-compatible, MySQL, and MariaDB databases. Please see the list of supported extensions in the Amazon RDS User Guide for specific versions.

Amazon EC2 Auto Scaling now publishes Auto Scaling instance lifecycle states in the Amazon EC2 Instance Metadata Service (IMDS), enabling you to easily trigger on-instance actions as an instance transitions from one lifecycle state to another. Instances in an Auto Scaling group transition through various lifecycle states from when they are launched and placed in service to when they are removed from service and terminated. By polling IMDS, you can setup your on-instance application to easily determine its lifecycle state without having to setup Amazon CloudWatch Events or other services.

Amazon Web Services Cost Explorer and Cost and Usage Reports (CUR) now provide more granular and detailed billing of Amazon Relational Database Service (Amazon RDS) charges. These detailed charges are reflected on Amazon RDS Backup, General Purpose, Provisioned IOPS (Storage and IOPS), and Magnetic Storage volumes running on Amazon RDS for MySQL, MariaDB, PostgreSQL, Oracle, and SQL Server database engines. Your bill will contain a detailed breakdown of costs by database engine granularity for the above RDS resources and features.

Amazon Relational Database Service (Amazon RDS) for Oracle now supports two new customer modifiable sqlnet.ora parameters for the Oracle Native Network Encryption (NNE) option in the Amazon Web Services China (Ningxia) Region, operated by NWCD, and the Amazon Web Services China (Beijing) Region, operated by Sinnet. This feature allows customers to block older ciphers and algorithms from being used by SQL*Net encryption and checksum parameters.

Amazon Lambda now supports .NET 6 as both a managed runtime and a container base image in the Amazon Web Services China (Beijing) Region, operated by Sinnet, and the Amazon Web Services China (Ningxia) Region, operated by NWCD. Developers creating serverless applications in Lambda with .NET 6 can take advantage of new features such as improved logging, simplified function definitions using top-level statements, and improved performance using source generators. Using .NET 6 also lets you take advantage of new .NET language features and performance optimizations. For more information on Lambda’s support for .NET 6, see our product documentation.

Amazon Service Catalog now supports Virtual Private Cloud (VPC) endpoint policies in all regions including, Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD. Previously, Service Catalog supported integration with Amazon PrivateLink in all regions, where customers could use default policies that provided full access to Service Catalog. With this newly supported feature, customers can create or modify their VPC endpoint(s), interface or gateway, and have the option of attaching a customer-managed policy that specifies access to Service Catalog.

Amazon Aurora now supports Amazon Graviton2-based T4g database instances in Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD. Graviton2 T4g database instances deliver a performance improvement of up to 49% over comparable current generation x86-based database instances. You can launch these database instances when using Amazon Aurora MySQL-Compatible Edition and Amazon Aurora PostgreSQL-Compatible Edition.

Amazon Relational Database Service (RDS) now supports Amazon Graviton2-based T4g database (DB) instances for MySQL, MariaDB, and PostgreSQL databases in Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD. T4g DB instances offer up to 36% better price performance over comparable current generation x86-based T3 DB instances depending on the workload characteristics.

Amazon App Mesh now supports Amazon CloudTrail integration with Envoy Management Service (EMS). With CloudTrail integration for EMS, customers now get a history of all API calls that Envoy proxies make to App Mesh to retrieve dynamic configuration. This can help customers enhance governance, compliance, and risk auditing capabilities for the workloads running in Amazon App Mesh. Amazon App Mesh is a service mesh available in the Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD, that provides application-level networking to make it easier for your services to communicate with each other across multiple types of compute infrastructure. Amazon App Mesh standardizes how your services communicate, giving you end-to-end visibility and options to tune for high-availability of your applications.

Today, we are introducing Amazon EC2 Spot placement score in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD to help you find the optimal location and instance type selection for your Spot workloads. Spot Instances availability varies depending on the instance type, time of day, and Availability Zone. Until now there was no way to find an optimal Availability Zone or combination of instance types to fulfill your Spot capacity needs without trying to launch Spot Instances first. Now, Spot placement score can recommend an Availability Zone based on your Spot capacity requirements. You can also test different instance type combinations to find the most optimal one for getting the capacity you need. Spot placement score is useful for workloads that are instance type and/or Availability Zone flexible.

Starting today, the ability to assign IP prefixes to EC2 instances is available to Virtual Private Cloud (VPC) customers in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD.

Amazon Elastic Kubernetes Service (Amazon EKS) now supports the containerd container runtime on Windows worker nodes. Amazon EKS is a managed container service to run and scale Kubernetes applications in the Amazon Web Services China (Beijing) Region, operated by Sinnet, and the Amazon Web Services China (Ningxia) Region, operated by NWCD, or on-premises. Containerd is a lightweight container runtime that manages the complete container lifecycle on its host system, from container image transfer to execution, as well as storage and network attachment. Customers with Windows workloads can now get similar performance, security, and stability benefits from containerd that are available to customers running Linux-based worker nodes.

Following the announcement of updates in MySQL database versions 5.7 and 8.0, we have updated Amazon Relational Database Service (Amazon RDS) for MySQL to support MySQL minor versions 5.7.37, and 8.0.28. We recommend that customers upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about upgrading your database instances in the Amazon RDS User Guide, and create or update a fully managed Amazon RDS database using the latest available minor versions in the Amazon RDS Management Console.

Amazon CloudWatch agent has added support for configurable log filter expressions. Customers can install and configure the CloudWatch agent to collect system and application logs from Amazon Elastic Compute Cloud (EC2), on-premises hosts, and containerized applications and send them to CloudWatch. This new configuration option is intended for users who want to collect only log events that meet specified criteria.

Amazon CloudWatch agent now supports the collection of NVIDIA GPU performance metrics from Amazon Elastic Compute Cloud (Amazon EC2) accelerated computing instances running Linux. GPU-based instances provide access to NVIDIA GPUs with thousands of compute cores. You can use these instances to accelerate scientific, engineering, and rendering applications. Customers can install and configure CloudWatch agent to collect system and application metrics from Amazon EC2, on-premises hosts, and containerized applications and send them to CloudWatch. CloudWatch provides you with data and actionable insights to monitor your applications and optimize resource utilization. GPU metrics are intended for users who want to monitor the utilization of GPU co-processors in their EC2 accelerated instances.

Amazon CloudWatch agent now allows you to specify how long CloudWatch will retain log events. You can install and configure CloudWatch agent to collect system and application logs from Amazon Elastic Compute Cloud (EC2), on-premises hosts, and containerized applications and send them to CloudWatch. This new configuration option is intended for users who want to apply uniform log group retention periods when deploying the agent.

Amazon Lambda now supports Max Batching Window, a new feature that allows developers to fine tune Lambda invocation for cost optimization. This feature gives you additional control on batching behavior when processing data from Amazon MSK, Apache Kafka, and Amazon MQ for Apache Active MQ as event sources.

Amazon Lambda has launched improved auto scaling for Amazon MSK and self-managed Kafka as event sources to improve performance and help lower costs for customers. Lambda starts with one consumer and checks the OffsetLag metric (measure of backlog at source) and processing rate every minute and scales up or down every 3 minutes. Lambda allows up to one consumer per partition per topic for a Kafka cluster. Previously, Lambda used to start connection with Kafka clusters at a single consumer, then every 15 minutes would check for OffsetLag and scale up (or down) consumers.

Amazon Lambda now allows customers to build applications that can be triggered by messages in an Apache Kafka cluster hosted on any infrastructure. Customers can keep their existing Apache Kafka cluster as-is, and quickly and easily build Kafka consumer applications with Lambda without needing to worry about provisioning or managing servers.

Amazon Lambda now supports Amazon MQ for Apache ActiveMQ as an event source to give customers more choices for messaging services to use with their serverless application. Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Customers can build applications quickly and easily with Lambda functions that are invoked based on messages posted to Amazon MQ message brokers without needing to worry about provisioning or managing servers.

Amazon Lambda has launched a new metric, OffsetLag, to monitor the performance of Amazon MSK and Self-managed Kafka. Up until now, Lambda users did not have visibility into how polling runs and had to increasingly rely on the Lambda support team to resolve delays in processing, leading to inefficiencies in data streaming. The OffsetLag metric is a measure of the total number of messages waiting in the message queue to be sent to the target Lambda function. This metric will provide transparency into the amount of data congestion in a message queue. Thus, developers can monitor the performance of events, set alarms and thresholds to check for undesirable congestion and quickly diagnose and solve inefficiencies in their data stream. This feature requires no additional charge to use, and is available in Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD.

Amazon Lambda functions that are triggered from Amazon MSK topics can now access MSK clusters secured by IAM Access Control. This is in addition to SASL/SCRAM, which is already supported on Lambda. To get started, customers who select MSK as the event source for their Lambda function can configure their function's execution role to allow Lambda to connect to their clusters and read from their topics. This feature requires no additional charge to use, and is available in Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD.

Amazon Lambda functions that are triggered from self-managed Apache Kafka topics can now access usernames and passwords secured by Amazon Secrets Manager using SASL/PLAIN, a simple username/password authentication mechanism that is typically used with TLS for encryption to implement secure authentication. This is in addition to SASL/SCRAM, which is already supported on Lambda. To get started, customers who select Apache Kafka as the event source for their Lambda function can choose SASL/PLAIN as their authentication mechanism, and select their credentials from Secrets Manager on the Amazon Web Services Management Console, Amazon CLI or Amazon SDK for Lambda. This feature requires no additional charge to use, and is available in Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD. To learn more about using SASL/PLAIN authentication for your Lambda functions triggered from Amazon MSK topics, read the Lambda Developer Guide.

Amazon Lambda now supports Amazon Managed Streaming for Apache Kafka (Amazon MSK) as an event source, giving customers more choices to build serverless applications with streaming data. Customers can build Apache Kafka consumer applications with Lambda functions without needing to worry about infrastructure management. Amazon MSK is a fully managed service that makes it easy to build and run applications that use Apache Kafka to process streaming data.

Amazon DynamoDB increases default service quotas to simplify use of large numbers of tables. DynamoDB increased the default quota for the number of DynamoDB tables you can create and manage per Amazon Web Services account and Amazon Web Services Region from 256 to 2,500 tables. DynamoDB also increased the number of table management operations you can perform concurrently from 50 to 500. You can now perform a larger number of create, delete, and update table operations in parallel per account and per Region.

Amazon Relational Database Service (RDS) for Oracle now supports Oracle Database 21c. You can now launch Amazon RDS instances for Oracle Database 21c.

Amazon DynamoDB now supports limiting the number of items processed in PartiQL operations as an optional parameter on each request and is available in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD

Amazon Relational Database Service (Amazon RDS) for MariaDB now supports MariaDB minor versions 10.6.7, 10.5.15, 10.4.24, 10.3.34 and 10.2.43. We recommend that customers upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MariaDB community.

Amazon Keyspaces (for Apache Cassandra)—a scalable, highly available, and fully managed Apache Cassandra-compatible database service—now helps you automate resource management by using the Amazon Web Services SDK.

Amazon RDS for Oracle now supports the October 2021 Patch Set Update (PSU) for Oracle Database 12.1 in the Amazon Web Services China (Ningxia) Region, operated by NWCD, and the Amazon Web Services China (Beijing) Region, operated by Sinnet. October 2021 Release Updates (RU) for Oracle Database 12.2 and 19c is already launched.

You can now use AMAZON CloudFormation to manage Amazon Managed Streaming for Apache Kafka (MSK) cluster configurations and SASL/SCRAM secrets. To learn more about Amazon MSK support for AMAZON CloudFormation, refer to our Amazon CloudFormation documentation.

Amazon S3 accelerates integrity checking of requests using customer-defined checksum algorithms. You can choose from four supported checksum algorithms for data integrity checking on your upload and download requests. In addition, enhancements to the Amazon SDK and S3 API improve client-side checksum efficiency, increasing the performance and reducing the cost of data validation. You can automatically calculate and verify checksums as you store or retrieve data from S3, and can access the checksum information at any time using a new S3 API or an S3 Inventory report. Using checksums for data validation is a best practice for data durability, and these capabilities increase the performance and reduce the cost to do so.

Amazon Compute Optimizer now offers enhanced infrastructure metrics, a paid feature that when activated, enhances your Amazon EC2 instance and Auto Scaling group recommendations by capturing monthly or quarterly utilization patterns. Compute Optimizer does this by ingesting and analyzing up to six times more Amazon CloudWatch utilization metrics history than the default Compute Optimizer option (up to 3 months of history vs. 14 days). You can activate the feature at the organization, account, or resource level via the Compute Optimizer console or API for all existing and newly created EC2 instances and Auto Scaling groups.

Amazon Compute Optimizer now helps you quickly identify and prioritize top optimization opportunities through two new sets of dashboard-level metrics: savings opportunity and performance improvement opportunity.

EMR Notebooks is a managed environment based on Jupyter Notebooks that allows data scientists, analysts, and developers to prepare and visualize data, collaborate with peers, build applications, and perform interactive analysis using EMR clusters. Today, we are excited to announce that EMR Notebooks is now upgraded to JupyterLab v3.1.4, providing an enhanced user experience and new usability features.

Amazon Security Hub now allows you to designate either the Amazon Web Services China (Beijing) Region operated by Sinnet or the Amazon Web Services China (Ningxia) Region operated by NWCD as your aggregator Region and the other as a linked Region to give you a centralized view of all your findings across all your accounts and all your Regions in China. After linking a Region to the aggregator Region, your findings are continuously synced between the Regions, so that any update made to a finding in one Region is replicated to the other Region. Previously, you needed to have a separate Security Hub tab open for each Region. Now, your Security Hub administrator or delegated administrator account in your aggregator Region can view and manage all of your findings. Individual Security Hub member accounts in the aggregator Region can also view and manage all of their findings across all linked Regions. Your Amazon EventBridge feed in your administrator account and aggregator Region also now includes all your findings across all member accounts and linked Regions, which allows you to simplify integrations with ticketing, chat, incident management, logging, and auto-remediation tools by consolidating those integrations into your aggregator Region. There is no additional cost to use this feature.

Amazon AppSync is a managed serverless GraphQL API service that simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources with less network calls.

Amazon Redshift launches Streaming Ingestion support for Kinesis Data Streams (KDS). Amazon Redshift’s Streaming Ingestion eliminates the need to stage data in Amazon S3 before ingesting it into Amazon Redshift, enabling customers to achieve low latency in the seconds while ingesting hundreds of megabytes of streaming data per second into their data warehouse.

Starting today, your IPv6 Amazon Web Services resources in Amazon Virtual Private Cloud (VPC) can use NAT64 (on NAT Gateway) and DNS64 (on Route 53 Resolver) to communicate with IPv4 services. As you transition your workloads to IPv6 networks, they would continue to need access to IPv4 network and services. With NAT64 and DNS64, your IPv6 resources can communicate with IPv4 services within the same VPC or connected VPCs, your on-premises networks, or the internet.

Following the announcement of updates to the PostgreSQL database by the open source community, we have updated Amazon Aurora PostgreSQL-Compatible Edition to support PostgreSQL versions 13.5, 12.9, 11.14, and 10.19. These releases contain bug fixes and improvements by the PostgreSQL community. 

Amazon Glue Schema Registry now supports Protocol Buffers (Protobuf), enabling customers to use Protobuf schemas to govern the evolution of streaming data and centrally control data quality from data streams to data lake. Glue Schema Registry provides Apache-licensed serializers and deserializers for Protobuf that integrate with Java applications developed for Apache Kafka/Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, and Kafka Streams.

Amazon App Mesh introduces Agent for Envoy, a new component that monitors Envoy proxies and helps keep them healthy, in the Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD. Agent for Envoy also facilitates Envoy connection draining helping make your applications more resilient to failures. Amazon App Mesh is a service mesh that provides application-level networking to make it easier for your services to communicate with each other across multiple types of compute infrastructure. Amazon App Mesh standardizes how your services communicate, giving you end-to-end visibility and options to tune for high-availability of your applications.

Today, Amazon Systems Manager announces new features for Session Manager to support maximum session timeout and annotate the reason for starting a session. These features are available in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD. Amazon Systems Manager is the operational hub for Amazon Web Services, that provides a unified user interface to track and resolve operational issues across Amazon Web Services applications from a central place. Amazon Systems Manager Session Manager allows you to manage your EC2 instances, edge devices, and on-premise servers and virtual machines (VMs), using either an interactive browser based shell or command line.

NICE DCV version 2022.0 introduces multiple new features such as game controller support and high color accuracy support. NICE DCV is a high-performance remote display protocol that helps customers securely access remote desktop or application sessions, including 3D graphics applications hosted on servers with high-performance GPUs.

Today, we are enhancing the Amazon Organizations console to enable you to centrally view and update the alternate contacts for your Amazon Web Services accounts. To ensure that you receive important notifications about your Amazon Web Services accounts, we previously released the Accounts SDK that enabled you to programmatically manage billing, operations, and security contacts for accounts in your organization. With this launch, you can now also use the console to easily perform this operation without logging into each account. Support for additional account settings will be available in future releases.

NICE DCV web client software development kit (SDK) version 1.1.0 introduces a user interface (UI) library, written as a React component. Instead of building the user interface from scratch, developers can now use and modify the React UI component to build applications faster.

Amazon ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easier for scientists, researchers, and IT administrators to deploy and manage high performance computing (HPC) clusters on Amazon Web Services. Amazon ParallelCluster uses a simple text file to model and provision all the resources needed for your HPC applications in an automated and secure manner.

Amazon RDS for SQL Server now offers Always On Availability Groups for the Multi-AZ configuration in all Amazon Web Service Regions on Standard Edition. This new high availability option helps you meet the requirements of enterprise-grade production workloads on SQL Server.

Amazon Step Functions now integrates with the Amazon SDK, expanding the number of supported Amazon Web Services services from 17 to over 120 and Amazon API Actions from 46 to over 5000.

Starting today, Amazon CodePipeline is now available in China (Beijing) Region, operated by Sinnet, and China (Ningxia) Region, operated by NWCD.

We are announcing the general availability of Enterprise On-Ramp Support Plan, a new Support tier between existing Business and Enterprise Support, to help customers that are starting their cloud journey and need expert guidance to grow and optimize on cloud in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD. With Enterprise On-Ramp, customers can solve cloud-related challenges with access to Amazon Web Services Support experts whether by phone or live chat, share their screen and get support to improve issue resolution.

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). With a single click, data scientists and developers can quickly spin up SageMaker Studio Notebooks to interactively explore datasets and build ML models. The notebooks come pre-configured with deep learning environments for Amazon Web Services-optimized TensorFlow and PyTorch to quickly get started with building models. Starting today you can access two new environments for TensorFlow 2.6 and PyTorch 1.8.

Amazon IoT SiteWise is a managed service to collect, store, organize and monitor data from industrial equipment at scale.

Starting today, Amazon MemoryDB for Redis is generally available in Amazon Web Services China (Beijing) region, operated by Sinnet and Amazon Web Services China (Ningxia) region, operated by NWCD.

Amazon Elastic Container Service (Amazon ECS) now supports the use of persistent, shared storage across ECS containers with Amazon FSx for Windows based applications. Customers can use Amazon FSx for their Windows containers in task definitions compatible with the EC2 launch type. Amazon ECS tasks using Amazon FSx are designed to automatically mount the file systems specified by the customer in the task definition and make them available to the containers in the task across all availability zones in an Amazon Web Services Region.

Amazon S3 Replication is an elastic, fully managed, low-cost feature that replicates newly uploaded objects across two or more Amazon S3 buckets, keeping buckets in sync. Now with S3 Batch Replication, you can synchronize existing objects between buckets.

Amazon OpenSearch Service (successor to Amazon Elasticsearch Service) now offers improved visibility into the progress of blue/green deployments to your Amazon OpenSearch Service domains. This includes visibility into the completion of different steps within an update, such as creation and deletion of instances, and the progress of shard migration.

You can now use Amazon PrivateLink to privately access Amazon ElastiCache from your Amazon Virtual Private Cloud (Amazon VPC). Amazon PrivateLink provides private connectivity between VPCs, Amazon Web services, and on-premises networks, without exposing traffic to the public internet and securing your network traffic. 

You can now configure Amazon IoT device-specific logging using devices’ client ID, source IP, or principal ID. Until now, customers were able to configure logging at account level and for a specific thing group. Starting today, Amazon IoT now also supports setting fine-grained logging level using client ID, source IP, and principal ID. This enhancement makes it easy for customers to diagnose device specific issues without having to register devices as a thing or define additional thing groups. Customers can now target very specific resources for more detailed logging.

Following the announcement of updates to the PostgreSQL database, we have added support in Amazon Relational Database Service (Amazon RDS) for PostgreSQL minor versions 13.5, 12.9, 11.14, 10.19, and 9.6.24. This release closes security vulnerabilities in PostgreSQL and contains bug fixes and improvements done by the PostgreSQL community. This also includes the final release of PostgreSQL 9.6.

Amazon MQ now provides support for RabbitMQ version 3.8.26. This patch update to RabbitMQ contains several fixes and enhancements compared to the previously supported version, RabbitMQ 3.8.23.

S3 Object Lambda allows you to add your own code to process data retrieved from S3 before returning it to an application. For the first time, you can now use custom code to modify the data returned by standard S3 GET requests. This can be used to filter certain rows, to dynamically resize an image, to redact or mask confidential information, or to otherwise modify data returned by S3. Powered by Amazon Lambda functions, all request and data processing runs on infrastructure that is fully managed by Amazon Web Services. Your custom code executes on-demand, eliminates the need to create and store derivative copies of your data, and requires no changes to applications.

Amazon Cloud Map API now supports the IPv6 protocol, allowing applications to connect to Amazon Cloud Map endpoints over IPv6, in Amazon Web Services China (Beijing) Region, operated by Sinnet, and in Amazon Web Services China (Ningxia) Region, operated by NWCD. This allows you to more easily integrate with existing IPv6-based applications, and reduce the need for expensive networking equipment to handle the address translation between IPv4 and IPv6.

Amazon RDS for MariaDB 10.6 is available in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD. With this release, we are introducing multiple features to enhance the performance, scalability, reliability and manageability of your workloads, including:

Amazon Relational Database Service (Amazon RDS) for PostgreSQL now supports PostgreSQL major version 14. PostgreSQL 14 includes performance improvements for parallel queries, heavily-concurrent workloads, partitioned tables, logical replication, and vacuuming. PostgreSQL 14 also improves functionality with new capabilities. For example, you can cancel long-running queries if a client disconnects and you can close idle sessions if they time out. In addition, stored procedures now return data.

Amazon RDS Performance Insights now supports collection and tracking of query execution plans for Amazon RDS for Oracle, so you can more easily identify if a change in the query execution plan is the cause of a worse performing or a stuck query.

Amazon CloudFormation users can now choose to preserve the state of successfully deployed resources in the event of CloudFormation stack operation errors. Using this feature, you can retry the operation using an updated CloudFormation template and quickly iterate through feedback loops, shortening development cycles.

Amazon DynamoDB now helps you meet regulatory compliance and business continuity requirements through enhanced backup features, including copying on-demand backups cross-account and cross-Region, cost allocation tagging for backups, and transitioning backups to cold storage. In addition, backups managed through Amazon Web Services Backup are now stored in the Amazon Web Services Backup vault, which allows you to encrypt and secure your backups by using Amazon Web Services Key Management Service (KMS) key that is independent from your DynamoDB table encryption key.

Amazon Elastic Container Service (Amazon ECS) now supports Amazon ECS Exec and Amazon Linux 2 for workloads running on-premises with Amazon ECS Anywhere. ECS Exec makes it easier for customers to troubleshoot errors, collect diagnostic information, interact with processes in containers during development, and get “break-glass” access to containers to debug critical issues encountered in production. With Amazon Linux 2, customers can now easily use the same Amazon Web Services secured operating system on-premises and in the cloud for development and testing.

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical MongoDB workloads.

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical MongoDB workloads.

AWS Elemental MediaConvert now supports creation of the AV1 (AOMedia Video 1) format in 4K frame sizes and with 10-bit color depth. These enhancements expand the AV1 encoding capabilities of AWS Elemental MediaConvert to enable creation of High Dynamic Range (HDR) 4K content for display on modern, color rich 4K playback devices. With AV1, you can deliver high-quality SD, HD, and now 4K high dynamic range video to mobile and other devices at low bitrates unachievable with traditional formats such as AVC (H.264) and HEVC (H.265). For details on AV1 pricing, please visit the MediaConvert pricing page.

Amazon Step Functions service integration with Amazon CodeBuild now supports batch actions. With this enhancement, you can now initiate batch actions on multiple builds with a single task from within a workflow.

We are excited to announce that Amazon EMR 6.5.0 now includes Apache Iceberg version 0.12. Apache Iceberg is an open table format for large data sets in Amazon S3 and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. With the current release, you can use Apache Spark 3.1.2 on EMR clusters with the Iceberg table format.

Amazon S3 introduces a new S3 Object Ownership setting, Bucket owner enforced, that disables access control lists (ACLs), simplifying access management for data stored in S3. When you apply this bucket-level setting, every object in an S3 bucket is owned by the bucket owner, and ACLs are no longer used to grant permissions. As a result, access to your data is based on policies, including Amazon Identity and Access Management (IAM) policies applied to IAM identities, session policies, Amazon S3 bucket and access point policies, and Virtual Private Cloud (VPC) endpoint policies. This setting applies to both new and existing objects in a bucket, and you can control access to this setting using IAM policies. With the new S3 Object Ownership setting, you can easily review, manage, and modify access to your shared data sets in Amazon S3 using only policies.

Amazon DynamoDB supports PartiQL—a SQL-compatible query language that lets you query, insert, update, and delete table data in DynamoDB. Now DynamoDB PartiQL APIs support ReturnConsumedCapacity, an optional parameter that returns the total read and write capacity consumed, along with statistics for the table and any indexes involved in an operation, to help you optimize your queries and throughput costs.

Today, we announce an additional capability of Amazon Systems Manager Explorer. The new cross-account / cross-region feature provides IT and DevOps managers a consolidated dashboard view of operational events and conditions across their Amazon Web Services accounts and China regions where action may be required.

New minor versions of Microsoft SQL Server are now available on Amazon RDS for SQL Server in Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD, offering performance and security fixes. Amazon RDS for SQL Server supports the new minor versions for Microsoft SQL Server 2019 and 2017 on the Express, Web, Standard, and Enterprise Editions.

Amazon Storage Gateway now makes it simpler and faster for you to get started with setting up and managing your hybrid cloud storage workflow. Using the Storage Gateway management console, you can now quickly create a new gateway in four easy steps: First, complete your local gateway setup. Second, connect your gateway to Amazon Web Services China Regions. Third, activate your gateway. Fourth, finalize your gateway configuration.

Amazon RDS for Oracle now supports the October 2021 Release Updates (RU) for Oracle Database 12.2, and 19c in the Amazon Web Services China (Ningxia) Region, operated by NWCD, and the Amazon Web Services China (Beijing) Region, operated by Sinnet. October 2021 Patch Set Update (PSU) for Oracle Database 12.1 will be launched soon.

Amazon Relational Database Service (Amazon RDS) Performance Insights is a database performance tuning and monitoring feature of RDS and Aurora that helps you quickly assess the load on your database and determine when and where to take action. One way to view Performance Insights data is in the Amazon Web Services Management Console. Performance Insights also provides a public API so that you can query your own data. We are now launching three new API endpoints: GetResourceMetadata, ListAvailableResourceDimensions, and ListAvailableResourceMetrics. These new APIs provide programmatic access to metadata about the metrics collected by Performance Insights. This makes it easier to build richer, more dynamic integrations into your monitoring tool or platform of choice. To learn more about Performance Insights APIs, read “Retrieving metrics with the Performance Insights API”.

Starting today, you can request EC2 capacity based on your workload’s instance requirements. Attribute-based instance type selection, a new feature for Amazon EC2 Auto Scaling, EC2 Fleet, and Spot Fleet, makes it easy to create and maintain instance fleets without researching and selecting EC2 instance types. This is useful for running instance type flexible workloads and frameworks such as containers, big data, and CI/CD, or for simple cases where you want your instance fleets to automatically use the latest generation instance types. Instead of creating and maintaining a list of acceptable instance types, you can now simply define your instance requirements once, and let attribute-based instance type selection handle the rest.

Amazon Redshift default IAM role is now available in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD.

Amazon AppSync is a managed GraphQL service that simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources. Today, we are happy to announce that AppSync now supports eviction of specific entries from AppSync’s built-in server-side cache.

Following the announcement of updates in MySQL database versions 5.7 and 8.0, we have updated Amazon Relational Database Service (Amazon RDS) for MySQL to support MySQL minor versions 5.7.36, and 8.0.27. We recommend that customers upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about upgrading your database instances in the Amazon RDS User Guide; and create or update a fully managed Amazon RDS database using the latest available minor versions in the Amazon RDS Management Console.

Amazon Simple Queue Service (SQS) announces support of dead-letter queue (DLQ) redrive to source queue in Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD, giving you better control over the life cycle of unconsumed messages. Dead-letter queues are an existing feature of Amazon SQS that allows customers to store messages that applications could not successfully consume. You can now efficiently redrive messages from your dead-letter queue to your source queue on the Amazon SQS console. DLQ redrive augments the dead-letter queue management experience for developers and enables them to build applications with the confidence that they can examine their unconsumed messages, recover from errors in their code, and reprocess messages in their dead-letter queues.

Per second billing to Microsoft Windows Server and Microsoft SQL Server instances running on Amazon EC2 has been extended to Amazon Web Services China (Beijing) Region, operated by Sinnet, and in Amazon Web Services China (Ningxia) Region, operated by NWCD. Customers will only pay for Windows Server and SQL Server instances that are launched in On-Demand, Reserved, and Spot form running on Amazon EC2 in one second increments, with a minimum of 1 minute.

Amazon RDS for SQL Server now supports SQL Server Analysis Services (SSAS) in Multidimensional mode. There is no additional cost to install SSAS directly on your Amazon RDS for SQL Server DB instance.

Amazon Simple Notification Service (Amazon SNS) now supports Attribute-based access control (ABAC) for API actions including Publish and PublishBatch. ABAC is an authorization strategy that defines access permissions based on tags which can be attached to IAM resources, such as IAM users and roles, and to Amazon Web Services resources, like Amazon SNS topics, to simplify permission management.

Amazon RDS for Oracle now supports the launch of additional memory configurations for R5 instance class in the Amazon Web Services China (Ningxia) Region, operated by NWCD, and the Amazon Web Services China (Beijing) Region, operated by Sinnet.

You can now access your instance's tags from the EC2 Instance Metadata Service. Tags enable you to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. This is useful when you have many resources of the same type—you can quickly identify a specific resource based on the tags that you've assigned to it. Previously, you could access your instance tags from the console or by using the describe-tags API.

Today, we are releasing improvements in Amazon AppSync to configure the maximum batching size to use when resolving a recurring field with an Amazon Lambda resolver or a Direct Amazon Lambda resolver.

Amazon OpenSearch Service (successor to Amazon Elasticsearch Service) now supports enabling fine-grained access control on existing domains. Fine-grained access control adds several capabilities to help you have better access control over the data stored in your domain.

Starting today, customers can use Amazon EC2 On-Demand Capacity Reservations to reserve capacity for cluster placement groups. With cluster placement groups, customers can launch EC2 instances into logical groups within a segment of the network with high bisection bandwidth, thus getting low latency and high throughput between instances inside the cluster. Cluster placement groups are beneficial for customers with workloads that require tightly coupled node-to-node communication, such as high-performance computing (HPC) workloads or in-memory databases like SAP HANA. With the addition of On-Demand Capacity Reservations for cluster placement groups, customers can get the assurance of reserved capacity as they scale compute resources within their cluster.

Amazon IoT Device Management Jobs now supports a new Job execution retry configuration, enabling developers to increase success rates of large scale deployments by ensuring automatic redeployment of failed job executions.  Instead of having to manually identify and redeploy to devices that fail, customers can now define a maximum number of retries in the ‘Job Execution Retry Configuration’ for each Job rollout or deployment, along with the criteria to trigger the retry behavior.

Amazon OpenSearch Service (successor to Amazon Elasticsearch Service) now offers machine learning based anomaly detection for historical data to identify trends, patterns, and seasonality in the past data. Anomaly detection for historical data enables customers to derive valuable insights from past data, and take appropriate actions to improve the overall efficiency of their applications.

You can now run OpenSearch and OpenSearch Dashboards version 1.1 on Amazon OpenSearch Service (successor to Amazon Elasticsearch Service). The new version includes several improvements such as cross-cluster replication support for clusters running OpenSearch, anomaly detection for historical data, and improved alerting.

Amazon Storage Gateway now supports Dell EMC NetWorker 19.5 and Veeam Backup & Replication 11A on Tape Gateway, enabling you to backup and archive data from Dell EMC NetWorker and Veeam Backup & Replication to Amazon Web Services without changing your backup workflows. With this announcement, Tape Gateway supports Dell EMC NetWorker 19.5 and Veeam Backup & Replication 11A running on Microsoft Windows Server 2019.