Starting today, customers can access AWS Cost Categories to map their cost and usage information to their unique internal business structures.  

Amazon CloudWatch has added three new features to the Application Insights for .NET and SQL Server capability to further enhance observability for your .NET and SQL Server based applications.

Application Auto Scaling target tracking can now be used to scale your Amazon AppStream 2.0 fleets. Target tracking allows you to dynamically scale your applications to automatically maintain a target metric. Using target tracking, AppStream 2.0 customers can simply specify a target capacity utilization metric for a fleet, and target tracking automatically increases or decreases the fleet capacity to maintain the target capacity utilization. Customers can configure target tracking policies for their AppStream 2.0 fleets via the AWS CLI, the AWS SDK, or AWS CloudFormation. To learn more, see Managing Fleet Scaling Using the AWS CLI .

Today, AWS announces AppConfig, a new capability within AWS Systems Manager that makes it easy for customers to quickly roll out application configurations across applications hosted on EC2 instances, containers, Lambdas, mobile apps, IoT devices, and on-premise servers in a validated, controlled and monitored way. System administrators, DevOps engineers, and developers now have the ability to manage configuration changes, similar to the way they manage code, but without the need for deploying code or taking their application out of service when a configuration value changes, thus mitigating risk of potential outages.

You can now use AWS IoT Device Defender Audit to check for devices in your fleet that: (1) have overly permissive permissions (e.g., admin permissions, access to metadata actions, data plane actions, or security auditing services); (2) have access to services that haven’t been used in over 365 days; (3) use OpenSSL versions on Debian-based operating systems that have been identified as having predictable cryptographic keys making them susceptible to brute force attacks; or (4) use Infineon RSA library versions that have been identified to mishandle RSA key generation making them susceptible to hacking. 

AWS Chatbot now supports running AWS commands and actions from Slack. You can retrieve diagnostic information, invoke Lambda functions and create AWS Support cases right from your Slack channels, so your team can collaborate and respond to events faster. AWS Chatbot supports commands using the already familiar AWS Command Line Interface syntax that you can use from Slack on desktop or mobile devices. In addition to running commands, you can also retrieve Amazon CloudWatch logs by simply clicking the “Show logs” button on CloudWatch Alarms notifications in Slack. AWS Chatbot supports actions for displaying logs for AWS Lambda and Amazon API Gateway.

Amazon CloudWatch Contributor Insights, now available in preview, analyzes time-series data to provide a view of the top contributors influencing system performance. Once set up, Contributor Insights runs continuously without needing additional user intervention. This helps developers and operators more quickly isolate, diagnose, and remediate issues during an operational event.  

Amazon CloudWatch Synthetics allows you to monitor application endpoints more easily. With this new feature, CloudWatch now collects canary traffic, which can continually verify your customer experience even when you don’t have any customer traffic on your applications, enabling you to discover issues before your customers do. CloudWatch Synthetics supports monitoring of your REST APIs, URLs, and website content, checking for unauthorized changes from phishing, code injection and cross-site scripting. CloudWatch Synthetics runs tests on your endpoints every minute, 24×7, and alerts you when your application endpoints don’t behave as expected. These tests can be customized to check for availability, latency, transactions, broken or dead links, step by step task completions, page load errors, load latencies for UI assets, complex wizard flows, or checkout flows in your applications. You can also use CloudWatch Synthetics to isolate alarming application endpoints and map them back to underlying infrastructure issues to reduce mean time to resolution.  

You can now enable your Amazon Kinesis Data Analytics for Java applications to access resources within your Amazon Virtual Private Cloud (Amazon VPC). This feature enables you to use your streaming applications to read and write data from resources within your VPCs like Amazon Elasticsearch Service clusters, Amazon RDS databases, Amazon Redshift data warehouses, Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters, and more.  

AWS Glue now supports running the FindMatches ML Transform in ETL scripts running on Spark 2.4.3 (Glue version 1.0). Previously, you were only able to use the FindMatches ML Transform in Spark 2.2.1 (Glue Version 0.9).