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.
Sponsored Post

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.

Zero downtime: Franck Pachot on his 'migration' from Oracle to PostgreSQL | The Simple Talk Podcast

We catch up with Franck Pachot, a longtime database community figure who has moved through Oracle, CERN, Yugabyte, MongoDB and, most recently, the PostgreSQL team at Microsoft. Hear stories from Franck's varied career, learn what makes technical content genuinely useful to developers, how PostgreSQL's MVCC and extension model differs from Oracle's, and what's really going on with Microsoft's growing family of PostgreSQL offerings (Flexible Server, Horizon DB, and DocumentDB).

Redgate Flyway Enterprise MCP for AI and Agentic Workflows

Huxley Kendell demonstrates how Redgate Flyway Enterprise enables safe, governed, and deterministic integration of AI and agentic workflows into database development processes. Local Workflows Huxley showcases how developers can use an MCP server to interact with Flyway Enterprise through local AI tools like Claude. Agentic Workflows The demo presents a future-ready, fully agentic workflow designed for enterprise automation through an autonomous copilot.

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.

Location Management in Skylar One

Location Management in Skylar One gives IT teams a centralized way to create, maintain, and organize location data, building the foundation for trusted geographic visibility across distributed environments. In this walkthrough, Brian Harding, Director of Product Management at ScienceLogic, demonstrates how to create and manage locations in Skylar One. See how teams can define locations, associate them with the right organizations, and use accurate latitude and longitude data to establish the geographic context needed for devices, services, and Geographic Maps.

Geographic Maps in Skylar One

Geographic Maps in Skylar One give IT teams a faster, more intuitive way to understand infrastructure and service health across distributed environments. In this walkthrough, Brian Harding, Director of Product Management at ScienceLogic, demonstrates how to create and configure a Geographic Map in Skylar One. See how to create locations, align devices and services, use filters to control what appears on a map, and visualize infrastructure health based on real-world locations.

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.

Why AURA Scratchpad Is Rad: Bound the AI SRE Agent Context Window

A big tool result does not have to be a big context cost. AURA moves it to disk and hands the model a pointer plus the tools to navigate what is there. A large MCP tool result can consume or overflow an agent's context window, and on a third-party server you do not control how much comes back. Scratchpad breaks the link between how big a tool result is and how much context it costs: the full output goes to disk, and only the slice the model asks for ever enters the window. Errors always pass through inline, so the model can react to them.

Signal vs. Spend: Building Cost-Aware Observability at Slack - O11yCon 2026

It started with a single log line taking up a massive amount of volume: 500 million emissions per hour. Pulling that thread led Emma and Steven into Slack's broader logging pipeline: 311 billion logs per day at 4.4M/sec peak, with no volume limits, no per-service attribution, and no feedback to the teams generating the noise.