Press Release
Causely Pairs Its Causal Reasoning Engine with Gemini for Automated Service Reliability
Causely now leverages Google’s Gemini models to enhance how users interact with its Causal Reasoning Engine.
Causality
Blog
How Causely and Google Gemini Are Powering Autonomous Reliability
Gemini’s ability to interpret natural language, generate structured code, and summarize technical context complements Causely’s deterministic causal inference engine, turning complex telemetry into clear and reliable insights.
AI
Modern CTO Podcast: The AI SRE Hype and How to Get it Right
Modern CTO Podcast's Joel Beasley sits down with Causely CEO Yotam Yemini to dive deep into the world of AI Site Reliability Engineering.
Blog
Reflections on APMdigest’s Observability Series — and Where We Go Next
Whether we call it APM or observability is bikeshedding. What really matters is ensuring systems deliver the service levels users expect. That’s where AI comes in.
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.
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.
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.
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
Causality
If Planes Can Fly Themselves Then Why Can’t IT Management be Autonomous?
When it comes to observability and IT operations, our goal should be to get humans out of the loop as much as possible.
Webinar
From Visibility to Control - Key Takeaways from a Fireside Chat with Viktor Farcic & Shmuel Kliger
“You actually cannot do meaningful reasoning especially when it comes to root cause analysis with LLMs or machine learning alone. You need more than that.” -Shmuel Kliger, Founder of Causely
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—