AI
AI SREs: Separating hype from reality
This article has been reposted with permission from CIO Dive.
Latest
Causely product
Causely Feature Demo: Address External API Slowdowns
When a provider slows down, Causely shows exactly how the impact ripples across your services and identifies the external API as the root cause.
AI
How Causal Reasoning Addresses the Limitations of LLMs in Observability
Causal reasoning with AI agents enable proactive incident prevention, automated remediation, and a path toward autonomous service reliability.
Blog
OpenTelemetry Logging Best Practices to Avoid Drowning in Data
We’ll recap OTel logging best practices, explore how to use logs effectively in troubleshooting without drowning in data, walk through a tutorial workflow you can apply today, and show how Causely operationalizes this approach automatically at scale.
Causality
Why Standalone Docker Matters: 4 Patterns Every Scalable Architecture Should Consider
This post explores four architecture patterns where standalone Docker is not only justified but recommended.
Blog
Demystifying Automatic Instrumentation: How the Magic Actually Works
Most developers use automatic instrumentation without knowing how it actually works. This post breaks down the key techniques behind it—not to build your own, but to understand what’s really happening when things "just work."
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.
observability
When Everything Is Instrumented, and You Still Don’t Know What’s Broken
In 'Rethinking Reliability for Distributed Systems,' Endre Sara shared a common story: a large-scale customer, running mature microservices in Kubernetes with full observability coverage, still struggles to understand what’s broken during a high-stakes business event.
observability
Making Observability Work: From Hype to Causal Insight
A few weeks back, I joined Charity Majors, Paige Cruz, Avi Freedman, Shahar Azulay, and Adam LaGreca for a roundtable on the state of modern observability. It was an honest conversation about where we are, what’s broken, and where things are heading. You can read the full summary on