The GetResources operation of the Resource Groups Tagging API  helps you return all the tagged or previously tagged resources located in the specified region in an AWS account. The GetResources operation now supports the ResourceARNList parameter. This new parameter accepts a list of up to 100 Amazon Resource Names (ARNs), and returns a list of the specified resources and the tag data attached to each. This new ResourceARNList parameter lets you keep track of the tag status of the AWS resources you care about. Instead of having to do multiple calls to check for each resource individually, and then assemble the results, this feature lets you check tag status for multiple ARNs and get the results using a single call.

AWS Chalice now integrates with the AWS Cloud Development Kit (CDK). With CDK integration, you can now combine the familiar, decorator-based APIs of Chalice to write your application code with the entire CDK constructs to define your service infrastructure. This enables you to deploy your serverless application as a single, cohesive stack using the CDK.

Amazon FSx, a fully managed service that makes it easy to launch and run feature-rich and highly-performant file systems, now offers Federal Information Processing Standard (FIPS) 140-2 validated endpoints to help you protect sensitive information. FIPS 140-2 is a U.S. and Canadian government standard that specifies the security requirements for cryptographic modules that protect sensitive information. U.S. Federal agencies and companies contracting with the U.S. Federal government can leverage this validation to help them better meet the FIPS security requirement to encrypt sensitive data on their Amazon FSx file systems.

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{page:WordSection1;}AWS Training and Certification is excited to announce the availability of three new courses for AWS Partners.

Amazon Detective now provides enhanced IP address analytics enabling faster security investigations. With this new capability you can answer questions about a specific IP address such as “how long has this IP address been interacting with the resources in my accounts”, “which of my EC2 instances did this IP address communicate with?”, “What were the data volumes exchanged with this IP address and which ports did the communication occur on?”, or “Which users and roles invoked API operations from this IP address?”. By providing answers to questions such as these, Detective empowers security analysts to quickly determine IP address behavior and diagnose security incidents.

You can now scale your Amazon Managed Streaming for Apache Kafka (MSK) clusters on demand by changing the size or family of your brokers without reassigning Apache Kafka partitions. Changing the size or family of your brokers gives you the flexibility to adjust your MSK cluster’s compute capacity based on changes in your workloads, without interrupting your cluster I/O. In just a few clicks, you can scale up or scale down your Amazon MSK clusters’ compute capacity that includes CPU, memory, network throughput and I/O capacity. You will be charged for the chosen broker size or family per Amazon MSK standard pricing.

Amazon Simple Queue Service (SQS) now supports Amazon CloudWatch 1-minute metrics in both AWS GovCloud (US) Regions Amazon SQS already supports Amazon CloudWatch 1-minute metrics in all commercial regions.

We are excited to announce that AWS IoT SiteWise now supports date and time functions, and global time zones for use in metric and transform computations in the AWS IoT SiteWise asset model. You can now use date and time expressions to retrieve the current timestamp of equipment data in UTC (Coordinated Universal Time) or in your local time zone, construct timestamps given input parameters such as year, month, day of the month and time, and extract different time fields such as year or month given a specific timestamp value. The date and time functions supported by AWS IoT SiteWise are listed below.

AWS Training and Certification has launched a new self-paced digital course: Introduction to Designing Data Lakes in AWS. This course is for learners ranging from storage administrators to data scientists who want to explore how to create and operate a data lake in a secure and scalable way.

Amazon EC2 P4d instances which provide the highest performance for machine learning training and high performance computing in the cloud are now available in the Europe (Ireland) region.