Operations | Monitoring | ITSM | DevOps | Cloud

AI vs. AI: from alert fatigue to agentic cybersecurity

Jul 15, 2026 By Rootly In Rootly
AI is transforming cybersecurity on both sides of the battlefield. Attackers can now launch highly personalized phishing campaigns at scale and build malware capable of making autonomous decisions. At the same time, security teams are using AI agents to investigate alerts, reduce noise, and respond to threats faster. In this episode of Humans of Reliability, we speak with Nir Soudry, Head of R&D at 7AI, about the shift from alert fatigue to agentic cybersecurity.
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Building a Website with AI: What You Should Know First

Building a Website with AI: What You Should Know First

Jul 15, 2026 By OpsMatters In OpsMatters
The age of artificial intelligence is here, and it has already made many types of otherwise time-consuming tasks that much easier. For some, that includes building a website. Building a website from scratch takes some serious time (and talent, of course). While AI can't take all the creativity out of your hands, it can act as a tool to help you achieve the website's end result that much faster. Of course, overreliance is not the answer, though. So, to get it right, here's what you should know before you start building a website alongside AI.
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AI is Exposing Observability's Dirty Secret

Jul 14, 2026 By Speedscale In Speedscale
The 3 pillars of observability are breaking. For years, dev teams relied on Logs, Metrics, and Traces to know when something went wrong. But now? AI agents are writing, deploying, and changing code in real-time. When an AI hallucination pushes a bug to production, standard monitoring sees nothing wrong.To survive the AI era, we need a 4th Pillar of Observability. Watch to find out what it is and why the old way of monitoring just became obsolete.
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grafana

Stop switching tools to find answers: Grafana Assistant now works across 30+ data sources

Jul 14, 2026 By Karina Munoz Villanueva In Grafana
When you're the on-call engineer and something breaks, you can quickly find yourself deep in a series of tools you don't regularly use—switching tabs, copying query results, and manually stitching together a picture of what's happening and why. People are increasingly turning to AI to get around this, but the results can be a mixed bag.
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mezmo

An SRE agent for production

Jul 14, 2026 By Mezmo In Mezmo
AI has changed how software gets built. It hasn't changed how software gets run. Most of the AI money in software has gone into the IDE: code generation, copilots, developer assistants, faster pull requests. That work matters. But writing software is one slice of the lifecycle. The harder problem, and the more expensive one, is running that software in production. Production is where systems fail in ways nobody predicted. Incidents don't stay inside one service.
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mezmo

We built an SRE bot on AURA. Here's what we learned.

Jul 14, 2026 By Mezmo In Mezmo
PagerDuty fires. You open the incident. Title, timestamp, nothing else. Whatever context exists is in someone's head, in a Slack thread from two weeks ago, or in a runbook nobody has touched since the last reorg. We got tired of that. So we put an AURA agent behind a Slack bot and pointed it at our own production environment.
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harness

Poisoning The Pipeline: How The Mastra AI Ecosystem Was Poisoned At The Registry Level | Harness Blog

Jul 14, 2026 By Roshan Piyush In Harness
The open-source landscape has witnessed another highly automated, ecosystem-level subversion. On June 17, 2026, a critical software supply chain attack struck the Mastra AI framework - a popular open-source TypeScript ecosystem used widely to build AI agents, workflows and RAG pipelines. By exploiting a compromised contributor account, threat actors successfully mass-published 144 malicious packages under the official @mastra npm scope.
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harness

AI Is Writing More Code Than Ever. Your Release Process Hasn't Kept Up. | Harness Blog

Jul 14, 2026 By Aaron Newcomb In Harness
A new report from LeadDev and Harness makes one thing clear: AI coding tools have fundamentally changed how much code organizations are producing. What has not changed nearly fast enough is how that code gets released. The State of AI-Driven Software Releases 2026 report, based on responses from 500424 engineers across industries and company sizes, puts real numbers behind a problem that engineering leaders have been feeling for a while. AI is accelerating the code creation side of the SDLC.
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logicmonitor

Unlock AIOps with Red Hat Ansible Automation Platform and LogicMonitor Edwin AI

Jul 14, 2026 By Margo Poda In LogicMonitor
Edwin AI and Red Hat Ansible Automation Platform help ITOps teams move from correlated alerts and root cause analysis to governed, auditable remediation. When an outage starts, the first alert is only the first artifact. The harder work follows: grouping related signals, separating symptoms from cause, identifying the affected service, and deciding whether the next action is safe to run.
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