In recent years, Observability has become a de-facto standard when discussing development and maintenance of cloud-native applications. The need to develop an observable system and ensure that as it runs in production, engineers will be able to detect performance issues, downtimes, and service disruptions, has evolved into a rich ecosystem of tools and practices.
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We all know Datadog. It’s a powerful and established tool that developers, DevOps, and SREs use for anything ranging from monitoring their application’s performance and searching their logs to having an end-to-end understanding of the environment. The nature of cloud-native applications makes the three pillars of observability – (Metrics, Logs, Traces) – needed more than ever to get visibility into your application.
