Operations | Monitoring | ITSM | DevOps | Cloud

It’s 2026, and developers have more tools at their disposal than at any point in the industry’s history: CI/CD platforms are richer; observability stacks are deeper; security, data, and AI tooling have exploded into crowded, competitive ecosystems. And yet, delivery is still slow, incidents are still noisy, workflows are still brittle. The problem is no longer tool scarcity or feature depth. It’s integration debt.

London, February 3, 2026 — Canonical and AWS are pleased to announce the release of the new snap for AWS IoT Greengrass, making the deployment of your IoT solutions easy and seamless all the way from silicon to the cloud. With the AWS IoT Greengrass agent now available as a snap package from the Canonical Snap Store, Ubuntu Core has become the ideal operating system for all your AWS IoT edge workloads and data ingress.

We know that AI has been transformational for engineering and it will continue to be, so stop me if this sounds familiar. Imagine an engineering lead opening a pull request for a critical security patch and finding five hundred lines of AI-generated code. While the solution is (mostly) usable, it follows a pattern no one on the team recognizes. This shift away from manually writing every line of logic has introduced a unique level of complexity for teams.

Automation has become more than just a "nice to have" choice. It's an essential part of the modern business landscape, promising increased efficiency, reduced costs, and improved accuracy. However, despite its potential benefits, many organizations struggle when trying to implement automation. In this article, we'll explore some of the most common implementation mistakes we've encountered and how to navigate them effectively.

When a team, division or organization is assessing a new vendor, there are some basic questions that must be answered. At Coralogix, we look at migrations in a different way. It isn’t about transporting the current state of play into a new vendor, often called a “lift and shift”. These are the basics. There is a whole new level of onboarding and support that doesn’t just replicate value across platforms – it expands it.

It’s been a while since the last update on “What’s New” series, so I will try and keep it short yet informative. Stay tuned for upcoming content on anomaly detection.

Complex environments don’t fail because teams lack data. They fail when teams can’t trust what the data is telling them. There are too many signals, too little time, and too much risk riding on every decision. That’s the reality Skylar Advisor is built for: delivering guidance teams can verify, so they can act faster without gambling on opaque, black-box answers.

Everything you need to know to discover and manage your company’s IT assets.

As AI adoption accelerates, middleware complexity intensifies. In this discussion with meshIQ CEO Navdeep Sidhu, discover why governance—not speed—has become the defining factor for enterprise success, and why fragmented middleware environments can no longer be ignored in the AI era.

Let’s be real: AI can hallucinate. And in observability, that feels risky. No one wants an assistant that sends your SREs chasing ghosts. At best, that burns expensive engineering time. At worst, it slows incident response in production and pushes teams toward the wrong remediation path. So here’s the big question: What makes Grafana Assistant different, and why should you trust it? Let’s start by acknowledging the fear. AI hallucinations are a real issue.