Instana APM Upgraded for AWS Fargate
June 26, 2020
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
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.
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.