Starting today, you can proactively manage the EC2 Spot Instance lifecycle by using the new Capacity Rebalancing feature for Amazon EC2 Auto Scaling, EC2 Fleet, and Spot Fleet. Capacity Rebalancing helps you maintain workload availability by proactively augmenting your fleet with a new Spot Instance before a running instance receives a two-minute interruption notice. Previously, EC2 Auto Scaling, EC2 Fleet, and Spot Fleet replaced Spot Instances only after they were interrupted. Now, with Capacity Rebalancing, these services attempt to proactively replace Spot Instances when they receive the new EC2 Instance rebalance recommendation, rather than waiting until they receive a two-minute in interruption notice.

You can now store streaming data for up to one year in Amazon Kinesis Data Streams. Long term retention of streaming data enables you to use the same platform for both real-time and older data retained in Amazon Kinesis Data Streams. For example, you can train machine learning algorithms for financial trading, marketing personalization, and recommendation models without moving the data into a different data store or writing a new application. You can also satisfy certain data retention regulations, including under HIPAA and FedRAMP, using long term retention. You only pay for data stored and retrieved without provisioning additional storage or compute resources.

Starting today, you can proactively rebalance your workloads running on EC2 Spot Instances without having to wait until the Spot Instance receives a two minute Instance interruption notice. You now have access to a new feature called “EC2 Instance rebalance recommendation”, a signal that notifies you when a Spot Instance is at elevated risk of interruption. The signal can arrive sooner than the two minute Spot Instance interruption notice, giving you the opportunity to proactively rebalance your workload to new or existing Spot Instances that are not at elevated risk of interruption. For example, you can start checkpointing your work early to save as much state as possible before the instance is interrupted. Or you can prevent scheduling new work onto the Spot Instances that received the rebalance recommendation, thus increasing the chance of completing the work.

Starting today, you can configure Amazon CloudWatch alarms to automatically create operational issues in AWS Systems Manager OpsCenter. This enables operations engineers and IT professions to view, investigate, and resolve operational issues related to AWS resources from a central place, helping reduce time to issue resolution. Amazon CloudWatch enables you to collect monitoring data for AWS resources and applications, and allows you to generate alarms based on configured thresholds. 

AWS IoT Device SDK for Embedded C (C-SDK) version 202011.00 now includes refactored coreHTTP, AWS IoT Device Defender, and AWS IoT Jobs libraries alongside of the existing coreMQTT, coreJSON, and AWS IoT Device Shadow libraries. All libraries have been optimized for memory usage and modularity, and have undergone code quality checks (e.g. MISRA-C compliance , Coverity static analysis ), and validation of memory safety with the C Bounded Model Checker (CBMC ) automated reasoning tool. For more details, see the README and Changelog files.  

Starting October 1st, Amazon Connect, an easy to use omnichannel cloud contact center service, decreased the outbound telephony rate in the EU Central (Frankfurt) and EU West (London) regions for calls to Poland by 68% from $0.1217 per minute to $0.0390 per minute.

Amazon Elasticsearch Service now provides the ability to define a custom endpoint for your domain and associate an SSL certificate from AWS Certificate Manager (ACM). Defining a friendly name makes it easier for your users to access Kibana, and allows you to move to a new domain without updating your clients.

Amazon Redshift JDBC and Python drivers are now open source and available for the user community under the Apache-2.0 license. With this release, customers will gain enhanced visibility to the driver implementation and can contribute to its development. Users can now browse the code for both drivers on the relevant AWS GitHub repositories, submit driver functionality enhancements through Git Pull Requests, and report issues for review.

Antares Cloud Management is an AWS Solutions Consulting Offer delivered via a consulting engagement from Claranet, an AWS DevOps Competency Partner. Antares Cloud Management provides an ecosystem of tools for day-to-day operation of containers in production. Customers that request this consulting offer will participate in an engagement that delivers a discovery workshop, implementation of the Antares platform, application migration, and 24/7 optimization and support.

The Client VPN self-service portal is a read-only web portal that helps end-users of Client VPN to download VPN Profile and updated versions of AWS Client VPN desktop application. End-users will be able to download the VPN profile and desktop application directly to their computers. We will also continue to support the ability for end-users to directly download the desktop application without the need to enter any credentials.