DevOps & SRE
Thank You, FluxCD: How it helps us, and how you can use it too!
How Causely uses FluxCD and GitOps to ship weekly on Kubernetes, keep clusters in sync, and wire up OpenTelemetry and Causely in a hands-on lab you can copy.
Endre Sara
Blog
Thank You, Grafana: How Beyla Helped Us, and How You Can Use it Too!
By open-sourcing eBPF-based auto-instrumentation and then donating it as an OpenTelemetry BPF Instrumentation (OBI) project, Grafana didn’t just release code, they lowered the onramp for observability.
Causality
The Signal in the Storm: Why Chasing More Data Misses the Point
More telemetry doesn’t guarantee more understanding. In many cases, it gives you the illusion of control while silently eroding your ability to reason about the system.
integration
From Dashboards to Decisions: Introducing the Causely Plugin for Grafana
With Causely, you can see the why behind what’s happening without having to leave your Grafana interface.
Causality
Causal Reasoning: The Missing Piece to Service Reliability
Assuring service reliability is the most critical goal of IT. It was never easy, and it is getting increasingly complex as businesses require greater speed, agility, and scalability to stay competitive and respond quickly to changing market demands. These needs are driving the adoption of microservices architectures, enabling organizations to
Blog
Eating Our Own Dog Food: Causely’s Journey with OpenTelemetry
Implementing OpenTelemetry at the core of our observability strategy for Causely’s SaaS product was a natural decision. This post shares context on our rationale and how the combination of OpenTelemetry and causal reasoning underpin our platform.
DevOps & SRE
Ep15 - Ask Me Anything About DevOps, Cloud, Kubernetes, Platform Engineering,... w/Endre Sara
In this DevOps Toolkit episode, Endre Sara joins Viktor Farcic for an Ask Me Anything session.
Blog
Launching our new integration with OpenTelemetry
Bridging the gap between observability data and actionable insight
Causality
In 2025, I resolve to make my application environment more resilient
By identifying potential risks in real time, predicting future demand, and adapting resources dynamically, teams can maintain reliability even under extreme conditions. This isn’t about eliminating unpredictability; it’s about building systems that respond intelligently to it.