Blog
Microservices and the Myth of Fault Isolation
Microservices do not automatically deliver fault isolation by design. They replace one obvious forest fire with a sprawling network of subtle, cascading brush fires.
Blog
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."
Blog
Alarm Suppression is Not Root Cause Analysis
“Root Cause Analysis” (RCA) is one of the most overloaded terms in modern engineering. Some call a tagged log line RCA. Others label time-series correlation dashboards or AI-generated summaries as RCA. Some reduce noise by filtering or hiding secondary and cascading alarms. And recently large language models (LLMs) have entered
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.
Causely product
Building a Reasoning Platform, Together
A version upgrade. A schema change. And suddenly, a critical service stalls. MySQL 8’s hidden metadata locking behavior has tripped up even the most prepared teams. We captured this knowledge — and now, Causely can pinpoint it. If you’ve learned about how Causely works, you already know that our
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
How We Used Causely to Solve a Crashing Bug in Our Own App—Fast
At Causely, we don’t just ship software – we run a reasoning platform designed to detect, diagnose, and resolve failure conditions with minimal human intervention. Our own cloud-native application runs in a highly distributed environment, with dozens of interdependent microservices communicating in real-time. It’s complex, dynamic, and constantly evolving—
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.