It has largely been viewed that a big data approach to APM presents an insurmountable technical challenge. But for application performance management (APM) to achieve its objectives in a world of composable applications and dynamic workloads, it needs granular and complete data about both the workloads and their environment. This means that APM solutions need to enter the world of big data and advanced analytics.
Big data helps you see the big picture. With it, you can uncover performance problems and patterns that impact a single application component or even the entire application environment.
This visibility is critical, especially in the face of cloud native transformation. With APM big data, you can effectively resolve performance problems faster and optimize performance, even in dynamic and complex environments that rely on microservices, containers, and cloud Kubernetes services. Unlike data sampling or snapshotting, a big data approach to APM ensures that all the data is available when it is needed.
Read this paper to learn how big data and advanced analytics can be successfully applied to APM for faster troubleshooting and better performance.
“Aternity gives us a circle of development that helps us to be responsive, pushes us to be proactive, positions us to be predictive, which then allows us to be pre-emptive.”
Head of Production Services, Maersk
There has been a real requirement for an architected solution that gives us the visibility and transparency we need to target where we have weak points in our infrastructure and remediate them accordingly and swiftly.
We’re no longer flying blind. The time to identify and remediate application issues went down exponentially.