Operations | Monitoring | ITSM | DevOps | Cloud

Working in front-end development involves writing features and bug fixes in different branches. But how do you ensure that reviewers, testers, and other stakeholders find it easy to view changes? Using preview deployments is one solution. Preview deployments allow you to automatically create a live URL each time someone opens a pull request (PR). It’s like giving every branch its mini website so that changes can be tested and proven in isolation.

You don’t need to be a power user to get powerful results. I’m not training models or prompting GPTs into poetry—I’m just using them to do what great managers already try to do: communicate clearly, prioritize outcomes, and lead with intention. Over the last few quarters, I’ve built a handful of custom GPTs to support my weekly, monthly, and quarterly workflows.

We’re happy to announce that our Trace Export Plugin for MPLAB X IDE has been updated to version 2.3.1 and now supports the latest versions of Microchip’s IDE, including MPLAB X v6.20 and v6.25. This plugin enables saving trace files from Percepio’s TraceRecorder library via the MPLAB X IDE debugger, making it easy to open the trace in Percepio Tracealyzer and related tools.

Inventory management is a critical function for any organization. Many small businesses begin with Excel inventory management because it’s accessible and low-cost. While inventory management in Excel may work in the short term, it quickly becomes inefficient as your operations grow.

LLM-powered apps are growing fast, and frameworks like the Vercel AI SDK make it easy to build them. But with AI comes complexity. Latency issues, unpredictable outputs, and opaque failures can impact user experience. That’s why monitoring is essential. By using OpenTelemetry for standard instrumentation and SigNoz for observability, you can track performance, detect errors, and gain insights into your AI app’s behavior with minimal setup.

The data center industry’s rapid evolution requires innovative tools to address its ever-changing demands. Cloud-based Data Center Infrastructure Management (DCIM) solutions have emerged as a powerful alternative to traditional on-premise systems, offering unmatched scalability, cost savings, real-time monitoring, and AI-driven insights.

We’re excited to announce the launch of parent/child pipelines for Bitbucket Pipelines. This powerful new capability lets you define a step within a pipeline that triggers and encapsulates a whole other pipeline, which can help to streamline more complex workflows into modular pieces and achieve greater parallelism within your pipeline.

We explore what colocation data centers are, the trends driving their adoption, their benefits, and how Megaport can underpin your colocation strategy. Table of Contents.

As enterprise IT environments evolve into ever-greater complexity and scale, demands on operations teams are accelerating. In the traditional model, observability tools collect data, engineers manually correlate events, and remediation follows a ticketing trail. However, that approach no longer matches the speed and scale of today’s digital businesses. Even the most storied dashboards can’t address today’s operational needs.

I recently spoke with a CIO who had committed a large amount of IT resources to manually migrating computers from Windows 10 to Windows 11. The process required months of planning, device assessments, compatibility testing and hands-on coordination to avoid disruptions to day-to-day business operations. While their dedication ensured their rollout was on track for the looming Windows 11 end-of-support date, it highlighted the strain such projects place on internal teams.