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.
Causality
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—
Causality
In 2025, I resolve to be smarter about observability data
Collecting “more data” has been the defining characteristic of observability practices and tools for the last few decades. But over-collection creates inefficiencies, noise, and cost without adding meaningful value. This trajectory must and can be changed.
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.
DevOps & SRE
In 2025, I resolve to be proactive about reliability
Making changes to production environments is one of the riskiest parts of managing complex systems. In 2025, let's transform how changes are made, empowering teams to anticipate risks, validate decisions, and protect system stability—all before the first line of code is deployed.
Causality
In 2025, I resolve to eliminate escalations and finger pointing
Explore the challenges of multi-team escalations, and the capabilities needed to address them. We’ll show how observability can be transformed to make escalations less contentious and more productive.
Causality
In 2025, I resolve to spend less time troubleshooting
SREs and developers can make troubleshooting more manageable in 2025 by adopting systems that solve the root cause analysis problem.
Media Article
The O11ys 2024 – The Winners!
Read the Observability 360 announcement of all The O11ys 2024 winners. Best Use of AI Winner: Causely Many observability systems now claim to support Root Cause Analysis. At the same time though, most of these systems use algorithms – admittedly, advanced…