
System Design: Metric Collection Pipeline for Microservices
System Design: Metric Collection Pipeline for Microservices
Prometheus is great at scraping metrics, but it stores everything on one pod's disk with one retention setting. Once data ages out, it's gone. In this short, we break down how Thanos decouples compute from storage, offloading sealed metric blocks to Amazon S3 and stitching fresh and historical data back together so Grafana sees one seamless source of truth.
Subscribe to KodeKloud for more system design and DevOps breakdowns ?
How long do you retain your metrics today? Tell us in the comments.
#prometheus #thanos #kubernetes #systemdesign #devops #observability #grafana #aws #s3 #cloudnative #sre #monitoring #microservices #platformengineering #infrastructure #devopsengineer #cloudcomputing #k8s #techshorts #kodekloud
Prometheus is great at scraping metrics, but it stores everything on one pod's disk with one retention setting. Once data ages out, it's gone. In this short, we break down how Thanos decouples compute from storage, offloading sealed metric blocks to Amazon S3 and stitching fresh and historical data back together so Grafana sees one seamless source of truth.
Subscribe to KodeKloud for more system design and DevOps breakdowns ?
How long do you retain your metrics today? Tell us in the comments.
#prometheus #thanos #kubernetes #systemdesign #devops #observability #grafana #aws #s3 #cloudnative #sre #monitoring #microservices #platformengineering #infrastructure #devopsengineer #cloudcomputing #k8s #techshorts #kodekloud
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