Kubernetes Observability for SREs with Dynatrace
The cloud-native community provides a constant stream of amazing new projects enabling new ways to leverage k8s for our current and future workloads. When it comes to observability, SREs and DevOps can leverage:
- Prometheus to collect metrics
- Fluentbit to collect logs
- Event exporter to get the events from Kubernetes
- Jaeger and OpenTelemetry to collect distributed traces
Dynatrace is keeping pace with the observability and automation demands of DevOps and SRE by leveraging the latest k8s APIs to ingest and analyze all pillars of modern observability: logs, metrics, traces, events, and more …
In this Performance Clinic Henrik Rexed, Cloud Native Advocate at Dynatrace, explains how Dynatrace:
- Collects natively metrics, logs, and traces from your cluster
- Ingests metrics from open-source products like Fluentbit, OpenTelemetry, and Prometheus
- Enables you to manage your SLO based on metrics coming from k8s events or logs
- Prometheus to collect metrics
- Fluentbit to collect logs
- Event exporter to get the events from Kubernetes
- Jaeger and OpenTelemetry to collect distributed traces
Dynatrace is keeping pace with the observability and automation demands of DevOps and SRE by leveraging the latest k8s APIs to ingest and analyze all pillars of modern observability: logs, metrics, traces, events, and more …
In this Performance Clinic Henrik Rexed, Cloud Native Advocate at Dynatrace, explains how Dynatrace:
- Collects natively metrics, logs, and traces from your cluster
- Ingests metrics from open-source products like Fluentbit, OpenTelemetry, and Prometheus
- Enables you to manage your SLO based on metrics coming from k8s events or logs