Living with errors in production feels embarrassing after dealing with a user facing incident. The errors were there for a while and you didn’t even know they were there. Many talks are around instrumentation. What goes into a day one observability refactor of your datacenter leveraging open source?
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Living with errors in production feels embarrassing after dealing with a user facing incident. The errors were there for a while. and you didn’t even know they were there.
The observability community preaches developing three pillars of your infrastructure through metrics, logs, and traces. Many talks have been around application instrumentation for code your write and a lot more work is being introduced on Linux observability through eBPF. What goes into beginning a day one observability refactor of your datacenter leveraging open source.
“We’ll explore mechanisms for observing and debugging your cloud datacenter, with an eye towards taking an existing codebase and services that lacks observability and evolving it over time. In this talk we will examine deployments and usage for Consul for event checks, Prometheus for metrics and Vector for logging in your datacenter.”