ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Decide whether to use Rancher’s built‑in monitoring or a self‑managed stack, compare resource overhead and flexibility, then follow a step‑by‑step enable‑and‑verify procedure.
Learn how to eliminate Prometheus dashboard timeouts by using Recording Rules to pre-compute expensive PromQL expressions and reduce query-time latency.
Learn how to build fast, reliable Dropwizard health checks, split them into liveness and readiness endpoints, and verify they stay lightweight under Kubernetes probing.
Learn how to implement and register custom HealthChecks in Dropwizard to monitor database and API dependencies via the admin port, preventing traffic from hitting unhealthy instances.
The Datadog Agent is installed but your host shows no data. A diagnostic guide: ordered checks from Agent status to network egress, fixes per finding, and when to escalate to support.
Prometheus remote write forwards samples to external storage by tailing the local WAL. A working setup needs only a YAML block, but a reliable one needs queue tuning and monitoring, because a full queue means silent data loss.
A complete walkthrough of Grafana unified alerting: a Prometheus CPU rule using node_exporter idle-CPU rate, Slack contact point, label-based routing, and how to test it safely.
Stop duplicating Grafana dashboards per environment. Learn how query and custom variables, chained filtering, and the =~ operator give you one dynamic dashboard — plus the multi-select mistake that causes 'No Data'.
Learn how to offload expensive PromQL expressions into recording rules, the trade‑offs involved, and how to verify the rule works as expected.
rancher
grafana
prometheus
kubernetes
dropwizard
java
datadog