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Causely: Continuous service reliability root cause hunting

coverage

Causely: Continuous service reliability root cause hunting

Originally posted to Intellyx by Jason English.

By Causely 01 Dec 2025
How Causal AI Is Transforming SRE Reliability in Kubernetes Environments

AI

How Causal AI Is Transforming SRE Reliability in Kubernetes Environments

Originally posted to TFIR by Monika Chauhan. Causely’s Severin Neumann explains how causal reasoning, MCP, and AI-driven automation are transforming SRE workflows and Kubernetes reliability.

By Causely 25 Nov 2025
Causely Brings Reliability Engineering to the Heart of Cloud-Native Development with Yotam Yemini

DevOps & SRE

Causely Brings Reliability Engineering to the Heart of Cloud-Native Development with Yotam Yemini

Originally posted to Techstrong.tv. Learn how Causely integrates reliability engineering into product development, tackling challenges in cloud-native applications.

By Causely 17 Nov 2025
International Business Times: Cutting Through the Noise — Startups to Watch at KubeCon 2025

coverage

International Business Times: Cutting Through the Noise — Startups to Watch at KubeCon 2025

Originally posted to International Business Times by David Thompson.

By Causely 10 Nov 2025
Cloud Native Now: Causely Adds MCP Server to Causal AI Platform for Troubleshooting Kubernetes Environments

coverage

Cloud Native Now: Causely Adds MCP Server to Causal AI Platform for Troubleshooting Kubernetes Environments

Originally posted to Cloud Native Now by Mike Vizard.

By Causely 06 Nov 2025
TechTimes: Causely Launches MCP Server for Automated Issue Resolution in Kubernetes

coverage

TechTimes: Causely Launches MCP Server for Automated Issue Resolution in Kubernetes

Reposted from its original publication on TechTimes by Carl Williams

By Causely 06 Nov 2025
Causely Introduces MCP Server for Automated Remediation Across Kubernetes and Application Code

Causely product

Causely Introduces MCP Server for Automated Remediation Across Kubernetes and Application Code

Causely announced the launch of the Causely MCP Server that seamlessly integrates into any MCP-compatible IDE and enables developers to automatically diagnose, understand, and remediate complex issues within Kubernetes and application code using natural language prompts.

By Causely 06 Nov 2025
Causely Pairs Its Causal Reasoning Engine with Gemini for Automated Service Reliability

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.

By Causely 29 Oct 2025
From Visibility to Control - Key Takeaways from a Fireside Chat with Viktor Farcic & Shmuel Kliger

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

By Causely 05 May 2025
Using OpenTelemetry and the OTel Collector for Logs, Metrics, and Traces

Blog

Using OpenTelemetry and the OTel Collector for Logs, Metrics, and Traces

This production-focused guide offers an understanding of what OpenTelemetry is, its core components, and a detailed look at the OTel Collector.

By Causely 13 Mar 2025
Shmuel Kliger on Causely’s Integration with OpenTelemetry

Media Article

Shmuel Kliger on Causely’s Integration with OpenTelemetry

Shmuel talks with Techstrong.tv's Alan Shimel about Causely launching its integration with OpenTelemetry, which has redefined observability by standardizing how telemetry data is collected and processed.

By Causely 05 Mar 2025
Point Your OpenTelemetry Data at Causely to Find What Matters in the Noise

Media Article

Point Your OpenTelemetry Data at Causely to Find What Matters in the Noise

Causely is a new player on the observability scene. The main problem their platform addresses is that modern teams are drowning in too many alerts and too much data coming from multiple observability solutions across open-source and 3rd party vendors.

By Causely 05 Mar 2025
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