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Instana APM Upgraded for AWS Fargate

June 26, 2020

Instana has developed new monitoring and tracing capabilities for applications running on AWS Fargate. Instana is the first APM solution to provide automated Fargate application monitoring that captures a distributed trace of every application request.

“As organizations continue to look for ways to minimize their operation costs while providing highly scalable applications, the usage of Serverless technologies such as Amazon Fargate continues to grow,” said Chris Farrell, Technical Director and APM Strategist at Instana. “Instana’s support for monitoring and tracing application functions running on Fargate allows Dev and Ops teams to get all the visibility they need without taking on additional development or operational costs.”

Instana’s monitoring and tracing capabilities on Fargate work the same way as Instana’s other infrastructure, service and application functionality, including automatic deployment, configuration, monitoring and tracing of all requests with zero development involvement. This not only ensures end-to-end visibility of every user request, it also guarantees the most optimal use of development time and computing time.

Today’s announcement follows recent releases of support for natively monitoring, tracing and profiling Lambda serverless functions. One key advantage of Instana’s native monitoring solution is the ability to connect serverless performance data with other platforms, allowing complete captures of distributed traces and inclusion of serverless information in the company’s analytics engine called Unbounded Analytics™.

Unlike traditional APM tools, Instana’s automated Application Performance Monitoring (APM) solution discovers all application service components and application infrastructure, including infrastructure such as AWS Lambda, Kubernetes and Docker. Instana automatically deploys monitoring sensors for each part of the application technology stack, traces all application requests and profiles every process – without requiring any human configuration or even application restarts. The solution detects application and infrastructure changes in real-time, adjusting its own models and visualizing the changes and any performance impact in seconds.

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