Operations | Monitoring | ITSM | DevOps | Cloud

harness

Autonomous Worker Agents: AI Agents in Your Pipelines | Harness Blog

Jun 30, 2026 By Jyoti Bansal In Harness
AI is writing more of the code. Software delivery, the work between writing code and running it in production, is where most of the day still goes. Building, testing, scanning, deploying, remediating, and operating still require the same, if not more, effort as before AI. Today, we're introducing Autonomous Worker Agents for software delivery: the platform for enterprises to build and safely run AI agents that handle the work between writing code and shipping it to production.
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hyperping

6 Ways to Use the Hyperping MCP Server

Jun 30, 2026 By Leo Baecker In Hyperping
When something goes down, the last thing you want is to alt-tab between a monitoring dashboard, your on-call tool, and three Slack threads to figure out what is happening and who owns it. That context is usually all there. It is just scattered. The Hyperping MCP server fixes that by putting your monitoring data inside the AI tools you already work in. Your agent can read monitor state, outage timelines, SLAs, and on-call schedules, and answer the questions you would normally chase across tabs.
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resolve

How IT Teams Can Cut AI Token Costs with Deterministic Workflows

Jun 30, 2026 By Derek Pascarella In Resolve
In our previous post on AI tokenomics, we looked at the rising cost challenge behind token-based AI systems. When enterprise IT teams rely on AI to reason through the same repeatable work over and over again, the costs to resolve those tasks may increase to an unreasonable level. That is where a deterministic IT automation platform becomes essential. A deterministic workflow follows predefined logic, meaning that given the same inputs and conditions, it produces the same expected result.
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atatus

Introducing Atatus MCP Server: Connect AI Agents to Your Observability Data

Jun 30, 2026 By Mohana Ayeswariya J In Atatus
AI coding assistants like Claude, Cursor, Codex, GitHub Copilot have become standard tools in the modern engineering workflow. Developers use them to write code, generate tests, and review pull requests. But when something breaks in production, these assistants hit a wall: they have no access to your actual system state. They can reason about logs, traces, and metrics. They just can't see yours.
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cloudzero

AI ROI Dispatches: How a non-engineer solved a $300K problem for under $1K

Jun 30, 2026 By Sharon Pollard In CloudZero
A year ago, the sentence “I just deployed an app on GitHub” wouldn’t have made sense coming from me. I’m the VP of People at CloudZero; code deployments and I were not close friends. That’s changed. In this AI era, non-engineers are building, and I think that’s a genuinely good thing. But only if it’s tied to something that matters.
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almaden ai

From Dashboards to Conversational AI: The Evolution of UI in IT Products

Jun 29, 2026 By Almaden AI In Almaden AI
The way IT teams interact with technology has changed dramatically over the years. From early text-based interfaces to today's dashboards and now conversational AI, each stage has reshaped how we monitor, diagnose, and understand complex IT environments. But while dashboards gave us visibility, they often led to more questions than answers. In this post, we briefly explore the evolution of UI in IT products and how conversational AI is bridging the gap between data and understanding.
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speedscale

Which Bugs AI Agents Fix Better With Traffic

Jun 29, 2026 By Ken Ahrens In Speedscale
In the first experiment, I wanted a baseline: if an AI coding agent gets the same production signal a human would get, can it fix bugs in a codebase it has never seen? Yes, but only when I gave it better context. With only an alert, the agent passed 51% of the runtime tests. When I added captured traffic, the actual request and response for the failing call, it climbed to 77%. This post is the second pass.
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Mission-Critical Data Orchestration with Agentic AI | Automated SFTP, DataOps & Workflow Automation

Jun 29, 2026 By Resolve In Resolve
How do you automate mission-critical data pipelines without risking downtime? In this Resolve Reels episode, see how Resolve's Agentic Automation Platform enables DataOps teams to build resilient, end-to-end workflows that automate secure SFTP transfers, preflight system validation, database operations, exception handling, intelligent retries, and self-healing remediation.
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Never Touch Another IT Ticket Again | AI That Resolves IT Issues Automatically

Jun 29, 2026 By Resolve In Resolve
What if your IT team never had to touch another password reset, VPN issue, or software request? This hilarious commercial imagines a world where IT tickets resolve themselves. See how agentic AI automates password resets, access requests, VPN troubleshooting, software installs, and more, so your service desk can focus on higher-value work instead of repetitive tickets. Resolve's AI-powered platform helps enterprises reduce ticket volume, improve first contact resolution, lower ITSM costs, and move toward Zero Ticket IT with autonomous resolution.
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