CNCF Webinar: Continuous Profiling Go Application Running in Kubernetes
Microservices and Kubernetes help our architecture to scale and to be independent at the price of running many more applications. Golang provides a powerful profiling tool called pprof, it is useful to collect information from a running binary for future investigation. The problem is that you are not always there to take a profile when needed, sometimes you do not even know when you need to one, that’s how a continuous profiling strategy helps. Profefe is an open-source project that collect and organizes profiles. Gianluca wrote a project called kube-profefe to integrate Kubernetes with Profefe. Kube-profefe contains a kubectl plugin to capture locally or on profefe profiles from running pods in Kubernetes. It also provides an operator to discover and continuously profile applications running inside Pods.
A bunch of links for you:
- Video coming soon
- My article: Continuous profiling in Go with Profefe
- My article: Continuous Profiling Go applications running in Kubernetes
- Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers
- Profefe on Github
- Kube Profefe on Github
- google/pprof library on GitHub
- Work in progress documentation! help me out!
I write a lot about Kubernetes from a developer point of view. Not really focused on which Ingress to select, or how to configure CoreDNS. My focus is around its extensibility via: Custom Resource Definitions, Operators, Shared Informarmers and the Kubernetes Client. Read more about it...