Each day, the average enterprise’s cloud applications, containers, compute nodes, and other components throw off thousands or even millions of tiny logs. Each log is a file whose data describes an event such as a user action, service request, application task, or compute error.
Cloud operations (CloudOps) teams that study those logs can maintain stability by optimizing performance, controlling costs, and governing data usage. They can stay agile by responding to events that require speed, scale, or innovation. But this requires new approaches to log analytics pipelines. This whitepaper explains:
- What CloudOps and log analytics mean
- Why traditional pipelines for log analytics break down
- How to streamline or re-architect these pipelines
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