Amazon EC2 Auto Scaling now lets you provision and automatically scale instances across purchase options, Availability Zones (AZ), and instance families in a single Auto Scaling group (ASG), to optimize scale, performance, and cost. Now you can include Spot Instances with On-Demand and RIs in a single ASG, to save up to 90% on compute in the AWS GovCloud (US-West) Region.
AWS Config now enables you to provision AWS Config rules across all AWS accounts in your organization
AWS Config now supports a new set of APIs to manage AWS Config rules across your organization in AWS Organizations. Using this capability, you can centrally create, update, and delete AWS Config rules across all accounts in your organization. This capability is particularly useful if you have a need to deploy a common set of AWS Config rules across all accounts. You can also specify accounts where AWS Config rules should not be created. In addition, you can use these APIs from the master account in AWS Organizations to enforce governance by ensuring that the underlying AWS Config rules are not modifiable by your organization’s member accounts.
AWS IoT Expands Globally
AWS IoT Core, AWS IoT Device Management, and AWS IoT Device Defender are now available in multiple additional regions.
Introducing Amazon CloudWatch Anomaly Detection – Now in Preview
Amazon CloudWatch Anomaly Detection applies machine-learning algorithms to continuously analyze system and application metrics, determine a normal baseline, and surface anomalies with minimal user intervention. You can use Anomaly Detection to isolate and troubleshoot unexpected changes in your metric behavior.
Introducing Amazon CloudWatch Container Insights for Amazon ECS and AWS Fargate – Now in Preview
Amazon CloudWatch Container Insights is now available in preview to monitor, isolate, and diagnose your containerized applications and microservices environments. With this preview, DevOps and systems engineers have access to automated dashboards summarizing the performance and health of their Amazon Elastic Container Service (ECS) and AWS Fargate clusters by tasks, containers, and services.
Amplify Framework now Supports Adding AWS Lambda Triggers for events in Auth and Storage categories
Starting today, the Amplify CLI (part of the open source Amplify Framework ) includes support for adding and configuring AWS Lambda triggers for events when using Amazon Cognito, Amazon Simple Storage Service, and Amazon DynamoDB as event sources. This enables developers to setup customized authentication flows for their mobile and web applications from the Amplify CLI using Amazon Cognito User Pool as an authentication provider.
AWS License Manager is now available in the Asia Pacific (Hong Kong) Region
AWS License Manager is now available in the Asia Pacific (Hong Kong) region. See the AWS Region Table for the list of regions where License Manager is currently available. AWS License Manager is offered at no additional charges. To learn more about this service, visit the product documentation , and FAQ page.
AWS Container Services launches Fluent Bit Plugins for AWS
AWS Container Services launches AWS Fluent Bit, a container image pre-installed with Amazon CloudWatch and Amazon Kinesis Data Firehose plugins that helps customers route container logs to multiple destinations such as CloudWatch, Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service.
Large Match Support for Amazon GameLift Now Available
Players expect multiplayer game sessions to be fast and full. But with the rise of Battle Royale games and other player-intensive games, ensuring a consistent and fulfilling matchmaking experience can be a challenge for developers.
That’s why today we’re excited to announce Large Match Support for Amazon GameLift. With this update, you can now match and connect up to 200 players to a single game session on the lowest latency server instance available—all based upon a custom rule you define. We’ve also added some other new functionality that makes it even easier to support games with larger player counts, including:
- Create multiple teams from one definition. Rather than defining team compositions separately, you can now easily create teams by specifying one team template for creating as many teams as needed for your game.
- Easier backfilling of open player slots. We’ve automated backfilling, so you can keep matches full without causing long player wait times. Matchmaking backfill will automatically add a new player to a match even after a game has started and will prioritize filling a match before creating a new match.
GameLift is available in the following 15 AWS Regions: US East (N. Virginia and Ohio), US West (Oregon and N. California), Central Canada (Montreal), EU Central (Frankfurt), EU West (London and Ireland), Asia Pacific South (Mumbai), Asia Pacific Northeast (Seoul and Tokyo), Asia Pacific Southeast (Singapore and Sydney), South America East (São Paulo), and China (Beijing).
To learn more about GameLift and Large Match Support, visit the Amazon GameLift Product detail page and read the Game Tech blog .
Amazon Aurora with PostgreSQL Compatibility Supports Serverless
Amazon Aurora Serverless is now available for Amazon Aurora with PostgreSQL compatibility. It is a new deployment option that automatically starts, scales, and shuts down an Amazon Aurora database, and it offers database capacity without the need to provision, scale, and manage any database servers.
Many applications have intermittent or cyclical usage patterns. For example, retail applications experience seasonal spikes, development and test workloads require database access only at certain times of the day or week, and new applications face unknown usage demands. This creates a capacity planning dilemma, since you must either over-provision database capacity upfront and pay for resources you won’t use, or under-provision resources and risk performance problems and a poor user experience.
With Amazon Aurora Serverless, you no longer have to provision or manage database capacity. The database automatically and quickly starts, scales, shuts down, and starts up again in seconds, based on the needs of the workload. You simply create an endpoint through the Amazon RDS Management Console , and Amazon Aurora Serverless handles the rest. You pay by the second , and only when the database is in use.
Read about Aurora Serverless on the AWS Blog , the Aurora Serverless product page , and in the Aurora documentation .
Amazon Aurora is a fully managed relational database that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Aurora PostgreSQL Serverless is available in the US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), and Asia Pacific (Tokyo) regions, and will expand to additional regions in the coming year.