From the course: Kubernetes and Cloud Native Security Associate (KCSA) Cert Prep
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Observability
From the course: Kubernetes and Cloud Native Security Associate (KCSA) Cert Prep
Observability
Okay. So now let's talk about observability, and observability in Kubernetes comes down to traces, logs, and metrics. So logging is aggregating and storing logged event messages written by programs and systems. Metrics are all about collecting time series data, which is used to predict expected ranges and forecast values. And then you can show it in dashboards like Grafana or another UI-centric dashboard and alert on it. Traces are all about telling you the health of an application from an end-to-end perspective. It's the process of investigating how events take place between microservices. Now, from a monitoring and observability perspective, a great enterprise tool is Datadog. From an open-source perspective, you can check out the Grafana, Prometheus, Loki Tempo stack, right? So let's head over to VS Code here really quick. Now, Datadog won't be on the test. However, it's definitely cool to just deploy it because you can do it for absolutely free and you can kind of see how…
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