Learning Cloud-Native Engineering Beyond Tutorials Through LFX
… A dedicated EC2 instance running Prometheus as a metrics backend. Metrics exported in Prometheus format from all instances into Prometheus. …
Tracked topic
… A dedicated EC2 instance running Prometheus as a metrics backend. Metrics exported in Prometheus format from all instances into Prometheus. …
… Prometheus dutifully scrapes both, sees duplicate samples, and fires PrometheusDuplicateTimestamps . …
… A warning on cardinality: Keep Prometheus labels low-cardinality. Tool names and agent names are safe — they have bounded values. Never put unique identifiers like session IDs into Prometheus labels. …
… Multi-tenant workloads often have none of that; for those namespaces, it’s kubectl and Prometheus only. …
… " or name == "tcp open connections" or name == "tcp read bytes total" or name == "tcp write bytes total" ' resource/mesh: attributes: - key: layer value: mesh action: insert service: pipelines: metrics/mesh: receivers: prometheus/mesh processors: memory limiter, filter/mesh, resource/mesh, resource… …
… GPU utilization and pod-zone metrics in Prometheus and Grafana exposed this for us in seconds; without them it can take days. …
… OpenTelemetry for instrumentation, Prometheus for metrics, Jaeger and Tempo for distributed tracing, Fluentd or Loki for log aggregation — the community has built real consensus around these tools over the years. …
… Prometheus is the metrics layer the cloud native world runs on. …
… Prometheus handles metrics, Loki handles log aggregation using lightweight label-based indexing, and Grafana provides a unified visualization layer. …
… It now stands proudly alongside amazing open source projects such as Kubernetes and Prometheus , to name just a few. …