We’ve all been there, cursing the “network” when a service fails to load as expected. Even with my 1.5Gbps fiber connection, there are many reasons why the “network” can be blamed. And, yes, I intentionally put the word network in quotes because the network is more than the speed of the network link.

Launched in June 2014 as an open-source container orchestration software, Kubernetes is now ten years old. Being increasingly adopted by organizations of all sizes, Kubernetes has today become an essential part of the IT landscape. Kubernetes now completes the modern IT picture, along with Linux, the cloud, and containers that form the backbone of how most IT applications are developed and delivered.

Behind every cloud, there is exceptional monitoring. At least, there should be. However, the dynamic nature of the cloud, while its greatest strength, also poses a vulnerability by making it challenging to maintain visibility across all areas. As the cloud becomes the backbone of many organizations' digital operations, robust and efficient monitoring is essential to identify and resolve issues before they affect the business. However, effective cloud monitoring presents unique challenges.

Modern web applications rely on invisible engines called REST APIs to function. These APIs handle crucial data exchanges behind the scenes, ensuring everything from login functionalities to dynamic content updates runs smoothly, handles client-server communication or communication across application services. But, just like any complex system, they are prone to errors and performance issues.

Tool Sprawl is real and unified observability is the key to unlocking this hindrance, along with the many others in your IT monitoring. Some say that the golden era of software development is already gone, and some say that it has just started with the advent of AI. Nevertheless, with the ease of microservices, containerization and open-source adoption, the recent years have certainly become the glory days for SaaS organizations. But innovation almost always brings with it challenges.

Kubernetes is used everywhere, from test environments to the most critical production foundations that we use daily, making it undoubtedly a de facto in cloud computing. While this is great news for everyone who works with, administers, and expands Kubernetes, the downside is that it makes Kubernetes a favorable target for malicious actors. Malicious actors typically exploit flaws in the system to gain access to a portion of the environment.

Event correlation is a critical aspect of modern IT management, involving the analysis and correlation of events to filter out noise and isolate significant events requiring attention. This process helps quickly identify the root cause of issues, reducing the time it takes to resolve incidents and ensuring smoother operations. Key reasons for event correlation include reducing noise data and identifying root causes efficiently.