Operations | Monitoring | ITSM | DevOps | Cloud

mezmo

The Runbook Problem: How AURA Documents What Teams Don't Have Time to Write

Apr 10, 2026 By Mezmo In Mezmo
Runbooks are rarely missing because teams don't value them. They're usually missing because incident response, follow-up, and platform work compete for the same limited time. By the time an issue is resolved, the knowledge is fresh, but the window to document it is already closing. That gap creates familiar failure modes: over-reliance on senior engineers, slower handoffs, and less confidence for whoever is on call next.
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harness

Unlocking Security Potential for AI: Introducing the Harness WAAP MCP Server | Harness Blog

Apr 10, 2026 By Michael Isbitski In Harness
Security teams face overwhelming amounts of data and complex interfaces, making it hard to access critical insights. AI tools promise solutions, but integration remains difficult as time ticks away and leadership wants the latest data to inform risk decisions. Most security platforms lack seamless integration, slowing access to important data and hindering AI-powered workflows.
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Tech Talk | AI Agents in O11y Cloud

Apr 10, 2026 By Splunk In Splunk
Transform reactive incident response with Splunk’s troubleshooting agents, designed to drastically reduce mean time to identify and resolve issues. This session demonstrates how a multi-agent approach empowers teams of all skill levels to pinpoint root causes, prioritize issues by business impact, and prevent future outages. Tech Talk sessions offer insightful and valuable deep-dives for any technical practitioner.
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solarwinds

How Agentic AI Powers Hybrid and MultiCloud Operations

Apr 10, 2026 By Robert BlairVega In SolarWinds
Hybrid and multi‑cloud environments didn’t break operations—they simply outpaced the human ability to manage them. Gartner predicts that 90% of organizations will adopt a hybrid cloud approach through 2027, confirming that multi-vendor estates are now the permanent operating model. Yet, as environments grow more distributed, a “Complexity Gap” has emerged.
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statuscake

In the Age of AI, Operational Memory Matters Most During Incidents

Apr 10, 2026 By James Barnes In StatusCake
Artificial intelligence is making software easier to produce. That much is already obvious. Code that once took hours to scaffold can now be drafted in minutes. Boilerplate, integration logic, tests, refactors and small internal tools can be generated with startling speed. In some cases, even substantial pieces of implementation can be assembled quickly enough to make older assumptions about software effort look dated. It is tempting, then, to conclude that the hard part of software is receding.
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logicmonitor

The Real Path to AI Automation Starts With Less Fragmentation

Apr 10, 2026 By Margo Poda In LogicMonitor
Fragmentation limits AI automation because context is split across systems, forcing humans to bridge the gap. Most IT environments are fragmented by design. Observability data lives in one set of systems, investigation happens in another, and execution sits behind separate tools with their own ownership and controls. During an incident, context does not move with the work.
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Why Your Website's FAQ Page Is Failing Visitors And How AI Search Can Fix It

Why Your Website's FAQ Page Is Failing Visitors And How AI Search Can Fix It

Apr 10, 2026 By OpsMatters In OpsMatters
Your FAQ page should be your hardest-working asset, but it's probably doing the opposite. Instead of guiding visitors, it's slowing them down. People land there with simple questions, face cluttered layouts or outdated answers, and leave without clarity. That frustration doesn't just hurt user experience; it quietly impacts conversions, trust, and even your search visibility. The good news? You don't need a full redesign to fix it. Most FAQ issues come down to relevance, structure, and how easily answers can be found. When those three things break, everything else follows.
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cortex

Every engineering org is taking an AI readiness test right now

Apr 9, 2026 By Cristina Buenahora In Cortex
Tamar Bercovici has been at Box for 15 years. She leads the core platform, the backend layer that storage, search, metadata, and AI capabilities all run on. When her systems go down, Box goes down. On a recent episode of the Braintrust podcast, she said the debate around AI-generated code tends to focus on whether the models will write clean code and/or introduce bugs. Tamar's focus is somewhere else entirely.
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