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Logging
Loki
Loki is a log aggregation system designed with label-based indexing and Grafana integration in mind. It is commonly used in cloud-native environments and Kubernetes clusters.
LogsGrafanaObservability
Key Concepts
Loki stores and queries logs efficiently using labels.
Often paired with Grafana for log exploration.
Well suited for Kubernetes and cloud-native stacks.
Common Interview Questions
What is Loki?
How does Loki differ from Elasticsearch-based logging?
Why is centralized logging important?
Use Case
Use Loki when you want lightweight centralized logging integrated with Grafana.
Common Use Cases
Collecting application and infrastructure logs in Kubernetes.
Exploring logs alongside Grafana dashboards.
Building lightweight centralized logging stacks.
Pros
Integrates naturally with Grafana.
Lighter than some traditional logging stacks.
Good fit for Kubernetes environments.
Cons
Feature expectations may differ from full-text search platforms.
Requires label discipline to stay efficient.
Not every team prefers its query and storage model.