Operations | Monitoring | ITSM | DevOps | Cloud

Incident.io

We built an MCP server so Claude can access your incidents

Aug 4, 2025 By Article In Incident.io
"Show me all critical incidents from the last week." "Create an incident for the payment API being down." "What was the root cause of that database incident last Tuesday?" If you've ever wished you could just ask Claude (or any MCP client) to handle incident management tasks instead of context-switching between chat and your incident management dashboard, you're going to like what we built.
Read Post
The Role of AI in Next-Gen Fleet Telematics Systems

The Role of AI in Next-Gen Fleet Telematics Systems

Aug 4, 2025 By OpsMatters In OpsMatters
Artificial intelligence (AI) is really making fleet telematics way smarter. Right now, telematics uses things like GPS and other sensors to keep tabs on vehicles. But AI takes all that information and actually thinks like a human brain, just way faster. It's awesome at finding patterns, guessing when problems might pop up, and even suggesting how to fix them. For businesses with vehicles, this means they can make better choices without just guessing. AI is completely changing how managers handle their trucks or vans, which saves both time and money.
Read Post
Vibe Coded Software Cybersecurity Risks and How To Respond

Vibe Coded Software Cybersecurity Risks and How To Respond

Aug 3, 2025 By OpsMatters In OpsMatters
Generative AI has enabled anyone in any company to become a software creator, thereby creating a new generation of vibe-coded cybersecurity risks. The rise of "vibe coding" (building applications on the fly by describing what's needed in natural language) has introduced an entirely new class of security blind spots when these tools plug into your systems or are installed in your environment. Here's what vibe coding cybersecurity risks look like in your environment and what you need to do to stop them.
Read Post
speedscale

AI Agent Is Hitting Your APIs - Are You Ready?

Aug 1, 2025 By Kristopher Sandoval In Speedscale
It’s no longer theoretical – artificial intelligence has left research labs and entered production systems, generating a new breed of consumers – autonomous and intelligent agents. These autonomous AI agents are increasingly interacting with real-world APIs (application programming interfaces), which are sets of protocols and tools for building and integrating software applications.
Read Post
Teneo

Securing the Invisible: Why Ambient AI Needs Next-Gen Security

Aug 1, 2025 By Teneo In Teneo
If, like me, you’re continuously striving to keep pace with the ever-evolving world of artificial intelligence, you’re probably hearing a lot about how Ambient AI is poised to dominate discussions and developments throughout the second half of 2025. Ambient AI refers to artificial intelligence systems that operate unobtrusively in the background of our daily environments, constantly sensing, analyzing, and responding to various inputs without explicit human interaction.
Read Post
ilert

EU AI Act: what changes in August 2025 and how to prepare

Aug 1, 2025 By Dhanesh Gandhi In iLert
‍ On August 2, 2025, a key part of the EU AI Act comes into force. It has serious implications for how you manage incidents related to artificial intelligence. ‍ While the full regulation will not apply until 2026, new obligations for providers of general-purpose AI (GPAI) models begin this summer. If you are building or deploying AI-powered services in Europe, the clock is ticking.
Read Post
selector

Selector MCP and the Future of Modular Automation

Aug 1, 2025 By John Capobianco In Selector
In the first two parts of this series, we explored why modern network operations demand intelligent automation and how AI agents can reason, act, and collaborate to solve complex problems. We examined the frameworks – such as ReACT, LangGraph, and Pydantic – that power these agents, and how the Model Context Protocol (MCP) facilitates seamless integration with tools and services. But theory alone doesn’t improve network uptime or reduce manual toil.
Read Post

Building your AI infra, our tips

Aug 1, 2025 By Canonical Ubuntu In Canonical
Modular architecture: Decouple compute from storage so each can scale independently. This makes it easier to adapt to growing or shifting workloads over time. Future-ready hardware: Select GPUs and CPUs not just for current workloads but with an eye on scalability, including support for newer accelerator types. Scalable design: Ensure the system allows seamless addition of compute nodes or storage without a full redesign.
View Video

Running AI without blowing up your storage

Aug 1, 2025 By Canonical Ubuntu In Canonical
Storage is often underestimated: In infrastructure discussions, compute and networking get most of the attention, while storage is treated as secondary. For AI workloads, that can be a costly oversight. Data throughput for specialized hardware: AI infrastructure powered by GPUs can process massive volumes of data at unprecedented speeds. This puts immense pressure on the storage system to keep up. Scale-out performance: An on-prem, scale-out, software-defined storage setup allows you to meet high performance demands, grow capacity as needed, and stay in control of infrastructure costs.
View Video

Applying AI/ML in Observability - Tech Talk #7

Aug 1, 2025 By VictoriaMetrics In VictoriaMetrics
Ready to master anomaly detection? Join us for Part 2 of our "Applying AI/ML in Observability" series, where we do a deep dive into vmanomaly! In this live stream, Mathis and Marc will be joined by a very special guest: Fred Navruzov, the lead developer and mastermind behind VictoriaMetrics' vmanomaly. If you want to move beyond the basics and unlock the full potential of AI-driven observability, this is a session you can't afford to miss.
View Video

Copyright © 2026 OpsMatters™. All rights reserved.