Operations | Monitoring | ITSM | DevOps | Cloud

Observability is what defines a strong SRE team. In this blog, we have covered the importance of observability, and how SREs can leverage it to enhance their business. Observability is the practice of assessing a system's internal state by observing its external outputs. Through instrumentation, systems can provide telemetry such as metrics, traces, and logs that help organizations better understand, debug, maintain and evolve their platforms.

Digital transformation is accelerating rapidly to include virtually all enterprise functions. Organizations of all size, across all industries, are leveraging digital technology to enhance customer service and improve work efficiency. Integrating automation into core business functions has become a must to stay aligned with the ongoing digital revolution. The growing migration to the cloud has resulted in the distribution of company data and applications across multiple locations. This means that many complex business processes must leverage IT resources from the cloud and on-premises. This is where automation and orchestration can greatly improve the performance and efficiency of these complex tasks.

There's no shortage of ServiceNow alternatives on the market for your business to explore. As service-focused organizations look for ways to optimize workflows, leveraging a sophisticated workflow automation solution is a strategic move. This could be the difference between good and exceptional customer experiences. ServiceNow isn't the only answer to automation. If ServiceNow isn't working for you, there are other workflow automation solutions that are capable of streamlining your operations.

In this article, you'll learn about the best Kubernetes performance monitoring tools that are currently on the market. Although there are a number of application performance monitoring solutions out there, this article covers the best options in terms of their key features, functionalities, ease of setup, and the support garnered from each of their respective communities.

Jeff Dean at Google Brain once said that the most sophisticated AI algorithms succumb to the quality of the dataset they rely on. That's a fancy way of saying: "Garbage in, garbage out." And if your organization is struggling with the effects of dirty data-inaccurate analytics, sub-optimal automations, and persistent problems with IT operations management-chances are you've got visibility gaps in your infrastructure that have you operating with a CMDB filled with inaccurate, incomplete, or obsolete information.

Large-scale software projects don't care how many unit tests you put into your code. Or how sophisticated your CI/CD pipeline is. Or how robustly you run blue-green deployments to ease into newly-deployed code. These projects will inevitably find themselves subjected to your users, who will uncover bugs your team didn't catch and didn't even think to test for.

Building a successful monitoring process for your application is essential for high availability. In the first of this three-part blog series, Safeer discusses the four key SRE Golden Signals for metrics-driven measurement, and the role it plays in the overall context of Monitoring. Monitoring is the cornerstone of operating any software system or application effectively. The more visibility you have into the software and hardware systems, the better you are at serving your customers. It tells you whether you are on the right track and, if not, by how much you are missing the mark.