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فيديو شرح Metric Pipeline for Kubernetes (Free Labs) ضمن كورس Kubernetes شرح قناة KodeKloud، الفديو رقم 68 مجانى معتمد اونلاين
Practice free in our Kubernetes labs: https://kode.wiki/4vIb1Z9
Ever wondered how big platforms monitor 100+ microservices without losing a single metric? In this video we design a complete Kubernetes monitoring pipeline using Prometheus, Thanos, and Grafana, with Amazon S3 as cheap, unlimited long-term storage.
We connect the full stack together: Prometheus, Thanos Sidecar, Store Gateway, Thanos Query, Compactor, and Grafana. We break down exactly what each component does and why a single Prometheus pod can never scale on its own, no jargon.
By the end of this video you'll understand:
How Prometheus scrapes and stores metrics in blocks
Why local disk retention becomes a bottleneck at scale
How Thanos Sidecar ships sealed blocks to S3
How Store Gateway and Thanos Query merge fresh and historical data
How Grafana visualizes everything from one place
Don't just watch it, build it. Open the free lab and build this exact pipeline step by step in a real Kubernetes playground: https://kode.wiki/4vIb1Z9
Timestamps below
00:00 - Why Metrics and Logs Matter (The Problem at Scale)
00:50 - How Prometheus scrapes data and stores data?
02:32 - Thanos Sidecar (The Shipper)
03:49 - Store Gateway (Querying S3 Blocks)
04:17 - Thanos Query (The Single Front Door)
04:41 - Grafana (The Dashboard)
05:20 - Compactor
05:48 - Build It Yourself + Free Lab
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#Kubernetes #Prometheus #Thanos #Grafana #SystemDesign #Monitoring #Observability #DevOps #SRE #AmazonS3 #CloudNative #KubernetesMonitoring #PromQL #Microservices #PlatformEngineering #CloudComputing #DevOpsEngineer #KodeKloud