AWS Outposts can now be shipped and installed at your datacenter and on-premises locations in Costa Rica, Ecuador, Morocco, Nigeria, and Vietnam.
AWS Karpenter v0.5 Now Generally Available
Today, AWS announced that Karpenter, a new open-source Kubernetes cluster autoscaling project, is now Generally Available with version 0.5 and ready for use in production environments. Karpenter is a flexible, high-performance Kubernetes cluster autoscaler that helps improve application availability and resource utilization. Karpenter launches right-sized EC2 instances in response to changing application load in under a minute. These EC2 instances are based on the specific needs of a cluster’s workloads, such as compute, storage, acceleration, and scheduling requirements. Today, Amazon Elastic Kubernetes Service (EKS) supports clusters using Karpenter on AWS, although Karpenter is designed to work with any conformant Kubernetes cluster.
Amazon S3 adds new S3 Event Notifications for S3 Lifecycle, S3 Intelligent-Tiering, object tags, and object access control lists
You can now build event-driven applications using Amazon S3 Event Notifications that trigger when objects are transitioned or expired (deleted) with S3 Lifecycle, or moved within the S3 Intelligent-Tiering storage class to its Archive Access or Deep Archive Access tiers. You can also trigger S3 Event Notifications for any changes to object tags or access control lists (ACLs). You can generate these new notifications for your entire bucket, or for a subset of your objects using prefixes or suffixes, and choose to deliver them to Amazon EventBridge, Amazon SNS, Amazon SQS, or an AWS Lambda function.
Amazon S3 Event Notifications with Amazon EventBridge help you build advanced serverless applications faster
You can now use Amazon S3 Event Notifications with Amazon EventBridge to build, scale, and deploy event-driven applications based on changes to the data you store in S3. This makes it easier to act on new data in S3, build multiple applications that react to object changes simultaneously, and replay past events, all without creating additional copies of objects or developing new software. With increased flexibility to process events and send them to multiple targets, you can now create new serverless applications with advanced analytics and machine learning at scale more confidently without writing single-use custom code.
AWS Control Tower introduces Terraform account provisioning and customization
We are excited to announce you can now use Terraform to provision and customize accounts through AWS Control Tower with AWS Control Tower Account Factory for Terraform (AFT). Your developers can now enjoy a streamlined process which automates the provisioning of fully functional accounts, providing your users with faster access to the resources they need to be successful.
Amazon Timestream now offers faster and more cost-effective time series data processing through scheduled queries, multi-measure records, and magnetic storage writes
Amazon Timestream has added three new capabilities, namely, scheduled queries, multi-measure records, and magnetic storage writes, to make time series data processing faster, cost-effective, and therefore more accessible to many more customers. These features enable customers to write, store, and access their time series data more economically and efficiently, so they can continue to derive insights from their data and drive better data-driven business decisions.
Amazon EBS Snapshots introduces a new tier, Amazon EBS Snapshots Archive, to reduce the cost of long-term retention of EBS Snapshots by up to 75%
Starting today, you can use Amazon EBS Snapshots Archive, a new tier for EBS Snapshots, to save up to 75% on storage costs for EBS Snapshots that you intend to retain for more than 90 days and rarely access. EBS Snapshots are incremental, storing only the changes since the last snapshot and making them cost effective for daily and weekly backups that need to be accessed frequently. You might also have snapshots that you access every few months or years and do not need fast access to data, such as snapshots created at the end of a project or snapshots that need to be retained long-term for regulatory reasons. For such use cases, you can now use EBS Snapshots Archive to store full, point-in-time snapshots at a storage cost of $0.0125/GB-month*. Snapshots in the archive tier have a minimum retention period of 90 days. Retrievals from the archive tier will incur a charge of $0.03/GB* of data transferred.
*us-east-1 pricing
Introducing the AWS Migration and Modernization Competency
Today, we announced the AWS Migration and Modernization Competency. These AWS Partners have deep domain expertise in offering software products that enable customers to migrate and modernize applications while customers move to the cloud. AWS Migration and Modernization Competency Partners can help customers optimize cost and reduce TCO, modernize legacy applications and data, and reduce operational burden.
Recover from accidental deletions of your snapshots using Recycle Bin
Starting today, you can use Recycle Bin for EBS Snapshots to recover from accidental snapshot deletions to meet your business continuity needs. Previously, if you accidentally deleted a snapshot, you would have to roll back to a snapshot from an earlier point in time, increasing your recovery point objective. With Recycle Bin, you can specify a retention time period and recover a deleted snapshot before the expiration of the retention period. A recovered snapshot retains its attributes such as tags, permissions, and encryption status, which it had prior to deletion, and can be used immediately for creating volumes. Snapshots that are not recovered from the Recycle Bin are permanently deleted upon expiration of the retention time.
Announcing Amazon Athena ACID transactions, powered by Apache Iceberg (Preview)
We are excited to announce the public preview of Amazon Athena ACID transactions, a new capability that adds write, delete, update, and time travel operations to Athena’s SQL data manipulation language (DML). Athena ACID transactions enables multiple concurrent users to make reliable, row-level modifications to their Amazon S3 data from Athena’s console, API, and ODBC and JDBC drivers. Built on the Apache Iceberg table format, Athena ACID transactions are compatible with other services and engines such as Amazon EMR and Apache Spark that support the Iceberg table format.