System Design: Logs Collection Pipeline for Microservices
Running 100+ microservices on Kubernetes? Here's how we collect every log line without going broke on Elasticsearch.
We break down a logging pipeline built on Grafana Alloy, Loki, and S3. Alloy runs as a DaemonSet on every node, scrapes stdout logs, and tags each line with labels like namespace and pod. Loki indexes only those labels, compresses the raw logs into chunks, and ships them to cheap S3 storage. The payoff is fast, label-driven search at a fraction of full-text indexing cost.
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Loki or Elasticsearch for your cluster? Tell us below.
#Kubernetes #DevOps #GrafanaLoki #GrafanaAlloy #LogManagement #Loki #Observability #CloudNative #SRE #Logging #K8s #SystemDesign #S3 #PlatformEngineering #Monitoring #Grafana
We break down a logging pipeline built on Grafana Alloy, Loki, and S3. Alloy runs as a DaemonSet on every node, scrapes stdout logs, and tags each line with labels like namespace and pod. Loki indexes only those labels, compresses the raw logs into chunks, and ships them to cheap S3 storage. The payoff is fast, label-driven search at a fraction of full-text indexing cost.
? Subscribe for more Kubernetes and DevOps system design breakdowns.
Loki or Elasticsearch for your cluster? Tell us below.
#Kubernetes #DevOps #GrafanaLoki #GrafanaAlloy #LogManagement #Loki #Observability #CloudNative #SRE #Logging #K8s #SystemDesign #S3 #PlatformEngineering #Monitoring #Grafana
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