Observability

Presenters Virginia Diana Todea Source PromCon EU 2025 Decoding Platform Engineering: It’s Not About the Answers, It’s About the Questions 🤯 Hey everyone! 👋 Diana here, a Developer Experience Engineer at Victoria Metrics, and let me tell you, I’ve been wrestling with a big question lately. A question that kept me up at night, fueled by cold sweats and philosophical pondering. It’s a question that, frankly, I didn’t even know I needed to ask. So, what is platform engineering? 🤔 ...

Presenters Igor de Sousa Source PromCon EU 2025 Beyond Monitoring: The Urgent Need for True Observability 🚀 Let’s be honest, the tech world is obsessed with monitoring. We’re drowning in alerts, dashboards, and metrics – but are we really understanding what’s happening beneath the surface? This presentation challenged that very notion, arguing that true observability goes far beyond simply tracking data. Let’s dive into the key takeaways and explore a crucial shift in how we approach system health. ...

Presenters Hervé Nicol Source PromCon EU 2025 🚀 Mastering Prometheus Rules: A Deep Dive into Rule Management 💡 Let’s be honest, Prometheus rules are essential for any serious monitoring operation. But let’s also be real – managing them can feel like navigating a complex maze. How do you keep them consistent? How do you ensure they’re actually working as intended? At James Swam, we’ve been wrestling with these questions, and we’ve found some surprisingly effective strategies. Let’s break down our approach and explore some best practices. ...

Presenters Bartek Protka Source PromCon EU 2025 🤖 The Trolley Problem of Metrics: Navigating Collection Resiliency 🚀 Hey everyone! 👋 Let’s talk about a surprisingly relevant thought experiment that’s impacting how we manage our data pipelines – the Trolley Problem. It might sound a bit heavy, but it perfectly illustrates a critical challenge in collection resiliency and how we’re tackling it. 🤯 The Trolley Problem in Data Collection The classic Trolley Problem asks: if you can divert a runaway trolley to save five people, but doing so will kill one, what do you do? In the world of data collection, we’re facing a similar dilemma. Imagine your data collection system – think Prometheus, OpenTelemetry collectors, or any other metric pipeline – is nearing its memory limit. You’re staring down a massive influx of data, potentially high-cardinality data (meaning lots of unique values), and you know that processing it could lead to a crash. ...

Presenters Björn “Beorn” Rabenstein Source PromCon EU 2025 Rate Smoothing & Anchoring: A Deep Dive into Prometheus Rate Function Evolution 🚀 Hey everyone! 👋 Let’s talk about something that’s been buzzing in the monitoring world: the Prometheus rate function. It’s a fundamental piece of the puzzle for calculating rates from time series data, but it’s also a surprisingly complex and often misunderstood component. Today, we’re going to break down the recent changes and explore the new approaches of “anchored” and “smooth” rates – and why they matter for your observability stack. ...