Observability-Work In Progress

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Establishing a unified approach for Infrastructure and Application Monitoring


In the past, distributed systems were typically monolithic, meaning that they were composed of a single, large piece of software.

Modern distributed systems are typically composed of many smaller, microservices-based components.These components may be distributed across multiple cloud providers and may be constantly changing.

The problem is the increasing use of containers to deploy and manage distributed systems. Containers are isolated environments that run on top of a shared operating system.

Need for Observability

Observability is essential for identifying and resolving performance problems, debugging code, and understanding how the system is behaving.

Identifying and resolving

Observability data can be used to identify performance bottlenecks across the entire system, including in containers and serverless applications.

Debugging code

Observability data can be used to troubleshoot code in individual microservices, even if they are distributed across multiple cloud providers. This can help to reduce the time it takes to fix bugs.

Understanding system behavior

Observability data can be used to understand how the system is behaving under load, how new changes are impacting the system, and how users are interacting with the system.

Observability is essential

cloud-native observability

A cloud-native observability platform can collect and analyze telemetry data from all of the different components of a distributed system, including containers and serverless applications.

Implement distributed tracing

Distributed tracing allows you to track the flow of requests through a distributed system, even if the requests are processed by multiple microservices.

Use metrics and logs

Metrics and logs are essential for observability. Metrics provide quantitative data about the system’s performance, while logs provide qualitative data about the system’s behavior.

Monitor your system under load

It is important to monitor your system’s performance under load to identify any potential bottlenecks. You can use load testing tools to simulate load on your system.

Use alerts and dashboards

Alerts and dashboards can help you to stay on top of your system’s health and to be notified of any problems quickly.

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