Observability
Get to know its keys
One of the main pillars of SRE is the need to see and measure everything. To this end, a new monitoring model has emerged called Observability. Observability is the ability to measure the state of a system. To this end, all the metrics, events, traces and logs that the system itself generates must be collected, visualised and intelligence applied. In other words, Observability is how well a system can be understood based on its own operation.
It aims to evolve traditional monitoring into a proactive rather than reactive domain. This gives SRE teams the ability to anticipate problems.
Helps multi-disciplinary teams understand what is happening in highly distributed systems. Understand what is slow or not working and what can be done to improve performance.
Observability teams are a fundamental part of the SRE concept, so although they have different tasks and responsibilities, they will share the same overall objectives.
Observability vs Monitoring
What are the benefits?
Detects and fixes problems that affect system performance and efficiency. Therefore, it improves system availability and end-user experience.
Accelerates the detection and resolution of infrastructure management problems. Focuses on reducing irrelevant information and prioritises critical events. Enables tasks to be performed with a lean operations team and significant savings.
When working in distributed environments, visibility issues often arise. Sometimes you don't know which services are in production, what the application performance is, or who owns a particular deployment. With Observability, you can gain real-time visibility into production environments, which will help improve productivity.
Teams can increase their productivity (transformation to high-performance teams) if they get early access to logs, metrics and related data. Teams will quickly know about all bugs and errors as soon as the code is uploaded to Git, increasing the speed of development.
Observability allows tracing the path of a specific request from start to finish, with contextualised data, on a specific problem. It speeds up the investigation, refines the problem and optimises the overall workflow of the application.
Success stories
Check some of our projects
Latest blog posts
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