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Elastic observability is a set of tools that allows Ops, developers, engineers, and operators to gain insight into the behavior and performance of their often complex systems. Collecting, analyzing, and visualizing data from various sources in order to provide a comprehensive view of the business’s digital landscape.

Observability is essential for managing the complexity and scale of modern distributed systems, allowing teams to quickly identify and resolve issues before they impact users or cause downtime.

Observability solutions like Elastic Observability can include a wide range of tools and technologies, such as:

  1. Logging: Collecting and storing logs generated by various components of a system, which can be used for debugging, auditing, and analysis.
  2. Metrics: Collecting and storing time-series data that provides insight into the performance and behavior of a system, such as CPU usage, memory utilization, and network traffic.
  3. Tracing: Capturing and storing information about the flow of requests through a distributed system, allowing developers to identify and troubleshoot issues related to latency, errors, and other performance problems.
  4. Alerting: Setting up automated alerts that notify operators when certain events or conditions occur within a system, such as high CPU usage or low disk space.