AWS FeedAWS Distro for OpenTelemetry adds StatsD and Java support AWS Distro for OpenTelemetry (ADOT) 0.8.0 is now available with StatsD support in the Collector and stable Java 1.0 support with an auto-instrumentation agent for observing your Java applications. StatsD Receiver The StatsD receiver is part of the OpenTelemetry Collector and collects StatsD metrics for…
AWS FeedAmazon Kendra adds new search connectors from AWS Partner, Perficient, to help customers search enterprise content faster Today, Amazon Kendra is making nine new search connectors available in the Amazon Kendra connector library developed by Perficient, an AWS Partner. These include search connectors for IBM Case Manager, Adobe Experience Manger, Atlassian Jira and Confluence,…
AWS FeedCI/CD on Amazon EKS using AWS CodeCommit, AWS CodePipeline, AWS CodeBuild, and FluxCD This post discusses how we can speed up the development of our Kubernetes infrastructure by using a continuous integration (CI) pipeline to build our Docker images and automatically deploy them to our Amazon Elastic Kubernetes Service (Amazon EKS) cluster using FluxCD…
AWS FeedIntegrating AWS Step Functions callbacks and external systems This post is written by Zach Abrahamson, Sr. Cloud App Architect, Shared Delivery Teams. AWS Step Functions lets you coordinate multiple AWS services into serverless workflows so you can build and update apps quickly. Using Step Functions, you can design and run workflows that integrate services…
AWS FeedUpdated classroom course: Advanced Architecting on AWS We are excited to announce the launch of the updated Advanced Architecting on AWS course. This instructor-led training course is designed for cloud architects who want to extend their baseline knowledge of AWS services. An expert AWS instructor will help you learn advanced architecting topics such as…
AWS FeedEnable feature reuse across accounts and teams using Amazon SageMaker Feature Store Amazon SageMaker Feature Store is a new capability of Amazon SageMaker that helps data scientists and machine learning (ML) engineers securely store, discover, and share curated data used in training and prediction workflows. As organizations build data-driven applications using ML, they’re constantly…