Operations | Monitoring | ITSM | DevOps | Cloud

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.
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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.

ServiceNow Escalation Paths: Multi-Tier Escalation That Actually Reaches Someone

A ServiceNow incident that notifies one person and stops isn’t escalation. It’s a coin flip on whether that one phone is on do not disturb. The record is correct, the SLA timer is running, and the whole response rests on one human feeling a buzz at three in the morning.

Auto-Remediate ServiceNow Incidents: Run Runbooks and RPA From the Alert

Plenty of ServiceNow incidents have a known fix. Restart the stuck service, clear the backed-up queue, fail over to the standby node. The runbook spells out every step, and a human still gets paged at three in the morning to follow it by hand. This guide covers what’s safe to automate, how Workflows trigger runbooks and RPA on a ServiceNow condition, how the automated action stays on the record, and where to keep a person in the loop.

Safeguarding Education in an AI-Powered World

Education is becoming more connected than ever across classrooms and campuses. Students learn through cloud platforms. Teachers use digital tools to collaborate and engage students. Institutions rely on connected systems to manage research, administration, communications, and campus safety. Technology is not just creating new possibilities for education, but it is also introducing new risks. Behind every device, application, and online account is a piece of valuable information.

Everyone Feels Faster. Almost Nobody Can Prove It.

What 554 developers and engineering leaders told us about AI, agents, and the measurement gap nobody’s closing. Ask a developer if AI made them faster this year, and 84% will say yes. Ask their VP to put a number on it for the board, and 39% will have nothing to show. That gap, not adoption, is the real story in engineering right now.

Why AI Agent Architecture Needs a Runtime Context Layer

Every AI agent architecture diagram shows the same five layers: perception, memory, reasoning, action, and feedback. Each layer assumes the one before it worked correctly, and none of them can confirm that once the agent runs against live production data. Runtime context is the sixth layer most designs leave out, and it’s the one that decides whether any of the other five can be trusted.

How task containers give AI agents real infrastructure without idle cost

Infrastructure for AI agents usually forces a choice between two bad options. A sandbox is safe but blind, cut off from the data and services that would make the agent's output useful. Full access means paying to keep a container idle between runs, waiting on a prompt that might not arrive for hours. Task containers, which Upsun released on August 12, 2026, are built to avoid that choice. A task container is a single-purpose container defined in a project's.upsun/config.yaml file.

Turn every branch into a production-like environment, automatically

You push a branch. If your team is like most, that branch now waits: for the shared staging server to free up, for someone to remember to refresh the seed data, for whoever broke staging last to fix it. By the time you actually test your change, you're testing it in an environment that's drifted from production in ways nobody fully tracked. The alternative isn't a better staging server. It doesn't need one.

Pain Killer, Not a Vitamin: What Actually Triggers a DCIM Vendor Switch

Organizations replace their DCIM vendor when an unresolved pain point becomes urgent enough to act on — not because a competing platform has a longer feature list. Understanding what those pain points actually are, for each type of stakeholder in the data center ecosystem, is the clearest way to predict where DCIM displacement is happening now and where vendor stickiness will hold.