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.

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.

Why latency is important when choosing an IP backbone provider

As businesses rely on cloud computing, AI, real-time communications and globally distributed applications, network latency has become a defining factor in overall network performance. While bandwidth determines how much data can be transferred, latency determines how quickly that data reaches its destination. Even a high-bandwidth connection can deliver poor application performance if latency is too high or inconsistent.

MCP Won't Replace Your Monitoring Tool

MCP is generating a lot of hype nowadays (but then again, almost anything that emerges in AI seems to attract hype). The anticipation around it is similar to the level of excitement that would break out if Apple were to finally introduce USB-C to iPhones. To be fair, though, some of that hype is warranted, considering the fact that MCP provides a standardized approach to connecting agents with third-party tools, which significantly simplifies this type of integration (hence the USB-C analogy).

You Aren't As Behind As You Think

If you look at the people posting to social media the most about AI, you’ll probably feel left behind. They’re running dozens or hundreds of agents and probably shipping more than you. But, they are not representative of the rest of the dev world. They are the 1% of the 1%. The thing that might be missed is that you reading their posts is probably separating you from a much larger cohort of devs that are still trying to figure out how to use AI effectively in their day to day work.

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?

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.