Blog Observability: Evaluate the Performance of Complex Systems
By Jeff Bozic / 3 May 2023 / Topics: Data center
By Jeff Bozic / 3 May 2023 / Topics: Data center
Typically, when we look at an IT environment, visibility, performance and reliability management can be very siloed. Network teams will focus on network monitoring and performance, security has tools for capturing security events and logging, and so on. But what if we could take all the important data from these different sources and correlate them with a unified platform for better visualization of our system's health so we can quickly identify and remediate issues? This idea of a holistic and transparent view of health and performance across complex systems is what we refer to as observability.
With observability, it isn’t just siloed teams that are responsible for all the tracking and monitoring of their domain; there are correlated and unified, end-to-end views of where all the parts of the system and application are related and can be observed. This management can ensure organizations continually drive better visibility and identify and resolve performance and reliability issues early while minimizing their impact — potentially even before an impact to service levels.
Observability allows us to understand and evaluate our complex, distributed IT systems end to end while providing a channel for separate teams (data, security, infrastructure, and applications) to correlate their data in meaningful ways. This democratization of data allows for better system health monitoring and is made up of four data types, called MELT data:
Without observability, separate teams only have their own datasets to work with, and trying to determine the root cause of system problems can be time-consuming and challenging. By giving these different teams the ability to holistically view their organization's systems that work together, they can identify the problem and streamline their approach to fixing it. Additionally, an observability platform can often even suggest or recommend resolution paths.
Observability is all about gaining visibility into the health and performance of our complex systems — but what does that mean when implemented? First and foremost, observability allows for a streamlined identification of the root cause of issues within IT systems, which in turn means those problems can be addressed sooner. Therefore, organizations can be more resilient; when issues are identified and subsequently resolved quicker, it means less fallout from problems going unchecked.
Furthermore, when performance issues can be resolved quickly, it means less downtime and an uninterrupted, better experience for users. Lastly, observability gives a business visibility into its entire architecture and a deep understanding of its systems and how to take advantage of them to reach business goals. This is often achieved by being able to deliver software value faster, more reliably and more securely. With mature observability, organizations will be able to predict and tackle performance hiccups before they even become an issue.
For those looking to leverage observability in their organization, here are some tips for getting started: