Today, AWS and Grafana Labs launched an AWS X-Ray data source plugin. You can use the latest release of Grafana (version 7.2.0 or later) to help visualize your AWS X-Ray traces directly in your Grafana dashboards in order to triage performance issues.

You can now use an Amazon Honeycode app template that helps you build an automated employee onboarding process for your team or organization. Amazon Honeycode is a fully managed service that allows customers to quickly build powerful mobile and web applications for team productivity scenarios – with no programming required. The new template is intended for Honeycode builders who are seeking more app examples and want to study best practices for building apps. 

Amazon AppFlow, a fully managed integration service that enables customers to securely transfer data between AWS services and cloud applications, now allows you to select additional time-stamp fields as the criteria for determining incremental data in schedule triggered flows. In a given flow run, AppFlow supports the ability to transfer only records that have changed since the previous successful flow run. Previously, the criteria for determining if a record has changed was not configurable. Now, you can choose any suitable source field, such as created date and modified date, as the criteria for determining which records have changed.

The redesigned AWS Architecture Center helps you find the information you need to design and operate reliable, secure, efficient, and cost-effective cloud applications, right from the start. The Architecture Center aggregates best practices, reference architecture deployments, reference architecture diagrams, and more, making it easier for you to discover what’s most important. The new Architecture Center also provides new ways for you to share feedback by voting on proposed guidance, requesting content, and more.

You now can design and visualize Amazon Keyspaces (for Apache Cassandra) data models more easily by using NoSQL Workbench . NoSQL Workbench now provides you a point-and-click interface to create nonrelational data models for Amazon Keyspaces, a scalable, highly available, and managed Apache Cassandra–compatible database service. 

Amazon Redshift introduces support for natively storing and processing HyperLogLog (HLL) sketches. HyperLogLog is a novel algorithm that efficiently estimates the approximate number of distinct values in a data set. HLL sketch is a construct that encapsulates the information about the distinct values in the data set. You can use HLL sketches to achieve significant performance benefits for queries that compute approximate cardinality over large data sets, with an average relative error between 0.01–0.6%. 

AWS Transfer Family now offers Federal Information Processing Standards (FIPS) 140-2 compliant endpoints in AWS GovCloud (US) Regions to protect sensitive information. These endpoints terminate Transport Layer Security (TLS) sessions using a FIPS 140-2 compliant cryptographic software module, making it easier for you to use Transfer Family for regulated workloads.  

You can now run Kubernetes pods as part of your Amazon EKS Kubernetes clusters in the two AWS Local Zones in Los Angeles. With Amazon EKS and Local Zones, you can run latency-sensitive Kubernetes applications closer to end-users in Los Angeles. Once you have opted-in for using AWS Local Zones, you can create a VPC and subnet in the local zone to deploy EC2 resources into it and attach them to your EKS clusters running in AWS US West (Oregon) parent region.  

AWS Batch now supports new parameters when specifying AWS Batch job definitions, including custom logging configurations, swap space, and shared memory. AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., GPU, CPU, or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems.  

Amazon Elastic Kubernetes Service (EKS) now supports running containers on AWS Fargate in ten additional AWS regions: US West (Northern California), Canada (Central), South America (São Paulo), Europe (London), Europe (Paris), Europe (Stockholm), Middle East (Bahrain), Asia Pacific (Mumbai), Asia Pacific (Seoul), and Asia Pacific (Hong Kong) regions.