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.
Causality
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…
Blog
Intelligence Augmentation: An Important Step in the Journey to Continuous Application Reliability
In an article that I published nearly two years ago titled Are Humans Actually Underrated, I talked about how technology can be used to augment human intelligence to empower humans to work better, smarter and faster. The notion that technology…
Blog
The Rising Cost of Digital Incidents: Understanding and Mitigating Outage Impact
Digital disruptions have reached alarming levels. Incident response in modern application environments is frequent, time-consuming and labor intensive. Our team has first-hand experience dealing with the far-reaching impacts of these disruptions and outages, having spent decades in IT Ops….
Blog
Explainability: The Black Box Dilemma in the Real World
The software industry is at a crossroads. I believe those who embrace explainability as a key part of their strategy will emerge as leaders. Those who resist will risk losing customer confidence and market share. The time for obfuscation is…
Blog
Beyond the Blast Radius: Demystifying and Mitigating Cascading Microservice Issues
Microservices architectures offer many benefits, but they also introduce new challenges. One such challenge is the cascading effect of simple failures. A seemingly minor issue in one microservice can quickly snowball, impacting other services and ultimately disrupting user experience. The…
Media Article
The State of AI in Observability Today
Reposted with permission from Observability 360
Blog
Real-time Data & Modern UXs: The Power and the Peril When Things Go Wrong
Imagine a world where user experiences adapt to you in real time. Personalized recommendations appear before you even think of them, updates happen instantaneously, and interactions flow seamlessly. This captivating world is powered by real-time data, the lifeblood of modern…
Webinar
What is Causal AI & why do DevOps teams need it?
Causal AI can help IT and DevOps professionals be more productive, freeing hours of time spent troubleshooting so they can instead focus on building new applications. But when applying Causal AI to IT use cases, there are several domain-specific intricacies…
News
Cause and Effect: Solving the Observability Conundrum
The pressure on application teams has never been greater. Whether for Cloud-Native Apps, Hybrid Cloud, IoT, or other critical business services, these teams are accountable for solving problems quickly and effectively, regardless of growing complexity. The good news? There’s a…
Blog
Fools Gold or Future Fixer: Can AI-powered Causality Crack the RCA Code for Cloud Native Applications?
Applying AI to determine causality in an automated Root Cause Analysis solution sounds like the Holy Grail. It’s easier said than done.
Podcast
Dr. Shmuel Kliger on Causely, Causal AI, and the Challenging Journey to Application Health
Dr. Shmuel Kliger, the founder of Causely.io, discusses his journey in the IT industry and the development of Causely. With a strong focus on reducing labor associated with IT operations, Dr. Kliger emphasizes the importance of understanding causality and building…