Data Engineering

Presenters Cyrille Le Clerc Source PromCon EU 2025 Decoding the Future of Observability: The Rise of OpenTelemetry & Prometheus 🚀 Hey tech enthusiasts! 👋 Cyrille from Graphana Labs just dropped some seriously insightful knowledge about the evolving landscape of observability, and we’re here to break it down for you. Let’s dive into how OpenTelemetry is shaking things up, particularly its relationship with Prometheus – and why it’s a game-changer for anyone serious about monitoring and tracing. 💡 ...

Presenters Nicolas Takashi Arthur Sens Source PromCon EU 2025 Decoding Telemetry: Building Schemas for a Data-Driven World 🚀 Let’s be honest, the world of observability and telemetry can feel… overwhelming. A deluge of metrics, logs, and spans – where do you even start when trying to understand what’s happening in your systems? This presentation tackled a surprisingly elegant solution: engineering telemetry like you engineer a pipeline, using schemas to unlock clarity and drive adoption. 💡 ...

Presenters Roman Khavronenko Source PromCon EU 2025 🕵️‍♀️ Unmasking the Truth: Debugging Queries with Row Data Samples 🚀 Hey everyone! 👋 As a tech blogger, I love diving deep into the nitty-gritty of how systems work. Today, we’re tackling a surprisingly complex issue: the discrepancy between what you see in monitoring tools like Prometheus and Victoria Metrics and what’s actually happening in your database. Let’s explore how viewing row samples can be your secret weapon for troubleshooting. ...

Presenters Israel Blancas Source PromCon EU 2025 🚨 Unmasking Telemetry Trouble: Preventing Data Loss & Bottlenecks in OpenTelemetry 🚀 Let’s be honest – OpenTelemetry is amazing. The promise of automatic instrumentation, a unified observability solution – it’s almost too good to be true. But as Coral Logix’s Israel brilliantly demonstrated, chasing that “magical” automatic approach without a solid strategy can lead to a whole heap of problems. This presentation wasn’t about how to use OpenTelemetry, it was about how not to – specifically, how to avoid the common pitfalls that can turn your observability investment into a frustrating data graveyard. 💀 ...

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. ...