InstanaがAWS Fargateでアプリインサイトを提供
Instanaは本日、アプリケーションパフォーマンス監視（APM）プラットフォームをアマゾンウェブサービス（AWS）ファーゲートに拡張しました。シカゴを拠点とするAPMベンダーは、AWSのコンテナデプロイメントプラットフォームでのアプリケーションモニタリングを最初にサポートすると主張しています。Instana today extended its application performance monitoring (APM) platform to Amazon Web Services (AWS) Fargate. The Chicago-based APM vendor claims to be the first to support application monitoring on AWS’ container deployment platform.
“Instana’s support for monitoring and tracing application functions running on Fargate allow dev and ops teams to get all the visibility they need without taking on additional development or operational costs,” explained Chris Farrell, technical director and APM strategist at Instana, in a statement.
According to Farrell, this is critical as organizations continue to move to containerized workloads on serverless platforms like Amazon Fargate, which allows users to take advantage of containers without having to worry about managing cluster sizes.
Instana’s APM works by sussing out all application components and infrastructure including AWS Lambda, Kubernetes, and Docker. From there, Instana deploys monitoring sensors for each part of the technology stack.
And the company claims these monitoring and tracing capabilities can be deployed quickly without the need for manual configuration or developer involvement.
Instana’s APM on AWS Fargate is available starting today.
The APM vendor has steadily expanded its monitoring capabilities over the past few months fueled by a triple-threat acquisition late last year.
Shortly before Christmas, Instana treated itself by snatching up BeeInstant of Ireland, StackImpact of Germany, and Signify, a technology from Jinspired, in a bid to bolster its APM software stack.
Today’s announcement comes just months after Instana announced support for native monitoring, tracing, and profiling of AWS Lambda serverless functions. Those capabilities are now officially available.
And in March, the company added support for World Wide Web Consortium’s (W3C) Trace Context and User Timing APIs. These capabilities offer users a standard means for implementing distributed traces.
