Operations | Monitoring | ITSM | DevOps | Cloud

Introducing PostgreSQL Static Data in Flyway

One kind of data in most relational databases is what we call static data. This is also referred to as lookup data, code data, domain data or even list data. Whatever you like to call it, it’s usually smaller data sets consisting of data that never changes, or changes very slowly. One example might be Canadian postal codes. Another example, and one I’m going to use, is the amateur radio band definitions within a given country.

From Firefighting to Proactive Resolution: How Nexthink Transforms Service Desk Operations

Level 1 engineers face incoming tickets without real-time visibility into endpoints. The result? Endless tool-switching, guesswork diagnostics, missed SLAs, and unnecessary escalations. Critical issues remain hidden until they impact productivity.⁠ Then came Nexthink.⁠ Now engineers see issues in real time, fix faster, and even prevent problems users don’t notice.

Why AIOps Needs Agentic AI

The AIOps and observability market has always been fragmented—and it’s not by accident. Different domain-specific tools, multiple data types, and reliance on supervised learning created complexity and silos. Now, a new approach is emerging. By placing LLMs at the center of decision-making, Agentic AI has the potential to unify this fragmented space and truly transform AIOps. This clip explains the root of fragmentation—and why the agentic approach offers a way forward. For a deeper dive, visit our website to see how the Fabrix.ai platform is architected to solve the real-time data challenge in AIOps.

Reliability means smooth on-call and a strong team

True reliability is when your engineers have confidence in their systems and their teams. Full transcript: Reliability to me means my on-call shift is gonna be smooth because everybody is making the attempts to be smart about the type of code that we're writing. And we're regularly testing to make sure that our system has redundancy and can withstand latency spikes, it can withstand resource spikes.

Modern Monitoring, Zero Blackouts: High Availability Reimagined

Downtime is an expensive inconvenience. Yet many IT teams still face monitoring blackouts due to rigid licensing models and outdated failover strategies. In this session, we’ll introduce a smarter approach: High Availability by Design. Whether you're scaling operations or modernizing infrastructure, this session will enable you with the tools and insights to build a resilient, future-ready monitoring strategy.

Modern E2E Testing with Playwright and AI

Pair Playwright with LLMs to plan, generate, refactor, and monitor end-to-end tests, without shipping hallucinations. This webinar showcases practical workflow: ground models with fresh docs, driving the browser via Playwright MCP, auto-fixing failing tests, refactoring to POMs, add API checks, and reusing the same suite for synthetic monitoring in Checkly. Chapters.

The real reason your AI initiatives are failing

AI has made it faster and easier to change a codebase than ever before. But in a system as complex and interdependent as modern software delivery, writing code has never been the biggest challenge. For most teams, the real constraint is getting that code safely into production. So while AI assistants and autonomous coding agents have dramatically accelerated the pace of change, for many organizations those changes are piling up against bottlenecks that were already slowing them down.

8 IT Issues You Can Fix with Pulseway Mobile App

If you have worked in IT for more than five minutes, you know Murphy’s Law: anything that can go wrong will go wrong sooner or later (sometimes at the worst possible time). Systems do not wait for you to finish your coffee, much less for you to get back to your desk. So, yes, we know your pain. That is why more IT pros are leaning on mobile tools–like Pulseway RMM Mobile App–to stay ahead of problems instead of scrambling back to the office or dragging around a laptop everywhere.

Why Has Network Management Missed Its Own Revolution?

We love to talk about IT revolutions. We celebrate the leaps in innovation that change how we work and live. We look at the 1980s and see the personal computer, which turned computing from a command-line chore into an intuitive experience for everyone. We point to the 1990s as the decade the internet connected the world, the 2000s as the era when virtualization and the cloud broke the chains of physical hardware, and this decade as the dawn of mainstream AI. Each of these moments was transformative.