Observability

  • The Unsung Heroes: Why OpenTelemetry’s Semantic Conventions are another Game-Changer

    The Unsung Heroes: Why OpenTelemetry’s Semantic Conventions are another Game-Changer

    Hello and welcome to the Observability Heroes! Today, we’re diving into a topic that, on the surface, might sound… well, to put it mildly, boring as hell. But trust me, OpenTelemetry’s Semantic Conventions are anything but. In fact, they are one of the most profound and impactful innovations OpenTelemetry brings to the observability landscape. So,…

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  • Gains and Losses: Is Observability a No-Brainer?

    Gains and Losses: Is Observability a No-Brainer?

    Observability: it’s a buzzword, but is it worth the hype? Many organizations haven’t yet embraced it, and this post explores the potential gains and losses associated with implementing Observability, as well as the significant risks of not implementing it. The Costs of Observability: What You Stand to Lose Let’s be realistic, Observability isn’t free. There…

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  • The power of context: No Observability without connected data

    The power of context: No Observability without connected data

    When it comes to troubleshooting and ensuring system health, Observability is all about one essential concept: connecting the dots. To identify and resolve problems effectively, we need to understand what happened, where it happened, and when it happened—all in context. This requires more than just collecting data; it demands that data be connected in meaningful…

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  • The Secret Life of Metrics: more drama than you’d think

    The Secret Life of Metrics: more drama than you’d think

    Metrics—so mundane, so predictable, right? Think again! Welcome to the Secret Life of Metrics, where the supposedly straightforward world of CPU utilization and time-series databases hides a treasure trove of mysteries. Let’s dig into this surprisingly juicy drama, complete with secrets, misunderstandings, and a dash of humor.

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  • What is the biggest challenge in Observability?

    What is the biggest challenge in Observability?

    Observability has rapidly evolved in the last years, transforming how we understand and manage complex systems. Yet, as robust as modern observability tools have become, a critical challenge persists: effective data visualization. While we can now gather, process, and analyze vast amounts of telemetry data, the challenge lies in translating it into visuals that quickly…

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  • To log or not to log

    To log or not to log

    Logging is one of the staples of observability – it is easy to implement, gives a lot of data, saves the day when troubleshooting problems and it is around since the dawn of time. When I started my life in IT in the 90s of the last century – kinda creepy to write that –…

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  • Top 10 Reasons why you don‘t need Observability

    Top 10 Reasons why you don‘t need Observability

    Observability has become an essential component for modern systems, offering deep insights into system performance, reliability, and user experience. However, despite its obvious advantages, many organizations still hesitate to implement observability solutions. Here are the top 10 reasons why companies may decide not to invest in observability: 1. Cost – It’s too expensive One of…

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  • Troubleshooting 101: How observability helps you fix issues faster

    Troubleshooting 101: How observability helps you fix issues faster

    When it comes to managing modern IT systems, troubleshooting is one of the most critical activities. It’s about identifying and resolving issues that slow down applications, disrupt services, and ultimately cost time, money, and customer trust. A well-established troubleshooting process, supported by robust observability practices, can make all the difference in diagnosing and fixing problems…

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  • So much data … and now?

    So much data … and now?

    Observability is about data, or isn’t it? OpenTelemetry helps us to gather tons of it and then we store it in a nice scalable data storage and all is well. Sorry, that’s not how it works in Observability. Let’s take a look at data and information and see what we actually need.

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  • Whack-a-Mole for Pros

    Whack-a-Mole for Pros

    In my 30 years in IT I have seen many things – good ones and bad ones. The bad ones usually had to do with the performance of systems or rather the lack of it. And a few of them stuck in my mind and will come back to the surface time and time again…

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