Operations | Monitoring | ITSM | DevOps | Cloud

coralogix

A 4-Month Bug Fixed in <10 Minutes with Olly

Feb 23, 2026 By Chris Cooney In Coralogix
In today’s highly interconnected systems, the subtle relationships between services are rarely obvious. Modern, complex architectures generate telemetry that functions less as “flashing signs” and more as faint “breadcrumbs” to be followed across a vast network of signals. In 2025, about two-thirds of outages involved third-party systems like cloud platforms and APIs.
Read Post
coralogix

The limits of MCP and how Olly surpasses them

Feb 23, 2026 By Chris Cooney In Coralogix
Model Context Protocol (MCP) servers act as adapter layers between clients and AI based workloads. MCP installation into an IDE, such as Cursor, brings a wealth of information directly into the developers primary tool, minimizing context switching and, especially in the world of observability, bringing telemetry closer to the code. MCP is not without its limits. These limits initially seem trivial, but in time, some of the inherent limitations to a basic MCP implementation become apparent.
Read Post
Komodor

When AI Writes the Code, Who Keeps Production Running?

Feb 23, 2026 By Ilan Adler In Komodor
The production environment has become a minefield of code nobody really understands. Here’s what’s happening: Development teams are using Claude Code, Cursor, and GitHub Copilot to ship features at 10x their previous velocity. Product managers are ecstatic. Business stakeholders are thrilled. And somewhere in a war room at 2:17 AM, an SRE is staring at a stack trace for code that was AI-generated three weeks ago, trying to figure out why the payment service just fell over.
Read Post
datadog

Evaluating our AI Guard application to improve quality and control cost

Feb 23, 2026 By Santiago Mola In Datadog
This article is part of our series on how Datadog’s engineering teams use LLM Observability to build, monitor, and improve AI-powered systems. Organizations are building AI agents that help users automate work, analyze data, and interact with complex systems through natural language. As these agents become more capable, they also become more complex and exposed to risks such as prompt injection, data leaks, and unsafe code execution.
Read Post
harness

From Chef to Chief Architect: Navigating the Intersection of AI and Data Security | Harness Blog

Feb 23, 2026 By Dewan Ahmed In Harness
In the world of enterprise software, the transition from traditional DevOps to modern AI-driven delivery is less like a flip of a switch and more like a high-stakes kitchen. As Devan Shah, Chief Architect at IBM, puts it: the ingredients have changed from food to code, but the need for a precise, governed process remains the same.
Read Post
Trends Shaping Cross-Border Tech Recruitment in 2026

Trends Shaping Cross-Border Tech Recruitment in 2026

Feb 23, 2026 By OpsMatters In OpsMatters
Here's the reality: distributed engineering teams have moved from bold experiment to business-as-usual. The challenge? Hiring globally in 2026 has gotten messier than ever before. Compliance rules keep morphing beneath your feet. AI recruiting tools that promised to simplify your life have introduced surprising complications.
Read Post
Sponsored Post
fabrix

Cisco Live'26 - Amsterdam: Aligning with the AI-Driven Future

Feb 22, 2026 By Shailesh Manjrekar In Fabrix
The energy at Cisco Live EMEA in Amsterdam (February 9-13, 2026) was primarily driven by groundbreaking AI announcements, & the event provided Fabrix.ai an opportunity to strengthen our strategic position alongside Cisco and Splunk ecosystems. The event’s focus on AI, highlighted by the recent Cisco AI Summit, emphasizes a clear market direction in which Fabrix.ai is perfectly poised to accelerate innovation.
Read Post
Komodor

AI SRE in Practice: Accelerating Engineer Onboarding with Contextual Expertise

Feb 22, 2026 By Itiel Shwartz In Komodor
Onboarding new engineers to complex Kubernetes environments is expensive. Junior engineers need to learn cluster architecture, understand organizational conventions, navigate internal documentation, and build relationships with senior team members who can answer questions. The process takes weeks or months, and during that time, senior engineers spend significant time mentoring instead of working on complex problems.
Read Post
When Technology Failures Become Securities Litigation Risks

When Technology Failures Become Securities Litigation Risks

Feb 21, 2026 By OpsMatters In OpsMatters
When a company's systems crash or a breach hits, it often looks like lawsuits appear out of nowhere. The real issue is that even a single tech failure can shake customers, stall revenue, and erode investor confidence. Many businesses downplay risks they already know about, leaving shareholders feeling misled when problems explode publicly. That gap between internal awareness and external disclosure is exactly what opens the door to securities litigation, turning tech troubles into legal and financial fallout almost instantly.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.