Engineering Jaeger Agent This article describes how EverQuote uses the Jaeger Agent (among others) to receive traces from instrumented workloads and forward them to the Jaeger backend. Disclaimer: Just as in the previous article, this particular setup should not be construed as an endorsement or recommendation. Use your own judgment before adopting anything
Engineering Jaeger Backend: Collector & Query This article describes how EverQuote uses the Jaeger Operator to provision the Jaeger backend. Disclaimer: Just as in the previous article, this particular setup should not be construed as an endorsement or recommendation. Use your own judgment before adopting anything covered by this article. AssumptionsI will assume that we are
Engineering Jaeger Persistence: ElasticSearch This article describes how EverQuote uses AWS-managed OpenDistro ElasticSearch clusters as persistent storage for the Jaeger backend (Collector + Query). Disclaimer: Jaeger also supports Cassandra as a storage backend as well as a variety of deployment strategies. This particular setup should therefore not be construed as an endorsement or recommendation. Use
Engineering Python Kubernetes Best Practices A quick overview of what we've collectively learned so far about running Python applications in production at EverQuote.
