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TechradarDev/radar/2021-07-01/loki.md
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Archiving indexed log data with a system like Elasticsearch can be expensive and archiving it as simple text files makes it hard to query them. Loki solves this issue by adding a reference database based on Kubernetes labels to each log line similar to Prometheus, but holding the log data inside a simple blob storage like S3. This allows the user to query the data by pre-defined labels and keeps the costs for indexing low.

Another benefit is the fact that does not have an endpoint for mutating log data which makes the data immutable from a potential compromised system.

We at AOE are using it for longer term log archiving in several Kubernetes clusters.