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Connecting Ticketing Systems to Microsoft SCOM

As enterprises continue to modernize their IT operations, integrating Microsoft System Center Operations Manager (SCOM) with ticketing and IT service management (ITSM) platforms has become essential for reducing alert noise, improving incident response, and streamlining operations. This whitepaper provides a comprehensive overview of available integration options, categorized by complexity and supported features. It also highlights common challenges, best practices, and strategic recommendations for selecting and maintaining an effective integration architecture.

GitHub outage on August 17, 2026: seven hours of Unicorn errors and Copilot failures

GitHub was hit by a major global outage on August 17, 2026 that began with its infamous “Unicorn” error page and ended with a long tail of Copilot failures, lasting about seven and a half hours in total. StatusGator sent an Early Warning Signal at 13:35 UTC, five minutes before GitHub confirmed the incident on its status page at 13:40 UTC. User reports kept flowing until 20:12 UTC, well after the main site had recovered, because Copilot stayed broken for hours.

13 best practices for database development in Visual Studio 2026

Database development rarely breaks all at once. It happens through small changes that seem harmless at the time. Someone adds a column directly to the shared database. A stored procedure gets fixed in production but not in the project. An index is created in staging and never added anywhere else. Everything looks fine until the next release. Then the differences start showing up, and nobody is quite sure which version of the schema is correct.

Building AI SRE Agents, Part 2: Leave the Laptop, Earn Trust

Moving the agent off your machine and pointing it at real clusters — read-only, in shadow mode — then climbing a trust ladder toward carefully scoped action. This is the second article in a three-part series on taking an AI SRE agent from a weekend experiment to enterprise production. Part 1 built a local agent on a throwaway cluster: read-only, propose-only, refined against a small eval set, with portable skills and no production write access.

AI Norms & Values, Part 1 of 3: How We Do Business at Honeycomb

It's been almost exactly one year since we issued our AI mandate here at Honeycomb, and we've been doing some reflection. When we issued our mandate, it's not like we hadn't been using AI. We were the first in the industry to bake a feature powered by AI into our product, way back in May of 2024. Many of us had been experimenting and using these tools in our spare time. But we believe that software is the killer app for AI.

Shipped: Explorer refresh: show more, scroll less

CloudZero Explorer answers a cost question in two parts. The chart shows what your spend did and the table underneath shows which service, account, or team did it. Until now, the chart pushed the table below the fold, and actions like creating a View or checking Anomalies were buried multiple clicks deep. Now the chart and table share the screen and a new right rail puts Favorites, Views, Anomalies and Insights one click away without covering your data.

SOTI MobiControl Integration With InvGate Asset Management

A logistics company running 2,000 Android devices across 15 distribution centers manages that fleet through SOTI MobiControl, which pushes apps, enforces policies, and tracks location every day. None of that visibility used to reach the company's core IT inventory. The IT team filled the gap with a weekly CSV export that drifted out of date within days: a reassigned tablet kept showing under its old owner, and a decommissioned scanner stayed in the count for months after it was retired.

Safer Kubernetes rollouts with minReadySeconds

Picture the scene: you’ve just deployed a rolling update to your service. Half of your pods are running the new version, they all passed their readiness checks, and Kubernetes terminated the old replicas. Suddenly, the new pods start throwing 503 errors. Thankfully, you still have pods on the old version, so you stop the update. If the rollout had been a little bit faster, you’d have an outage. This is the failure mode minReadySeconds exists to prevent.

MCP vs API: How they work together and when to use each

Summary: An API defines how software interacts with a service. MCP defines a standard way for AI applications to discover and invoke tools exposed by a service. They usually work together: an MCP server can sit in front of APIs you already run, turning low-level operations into capabilities an agent can find and use at runtime. Your API may already expose everything an AI agent needs. The harder problem is helping the agent figure out which operations matter for the task it has been given.

Don't Break the Agent: Lessons in Token Optimization

This one is for the curious souls who wonder how somebody actually builds a harness optimizer — and, more to the point, how they know it works. When we launched JFrog Boost into public preview, we told the story of the bill that broke us and the 100 billion tokens we clawed back across JFrog R&D. What that post didn’t cover is the question that consumed most of our engineering time: how do you measure any of this?