Operations | Monitoring | ITSM | DevOps | Cloud

Long before ORMs, LINQ, and high-level abstractions became common in the.NET ecosystem, there was ADO.NET—raw, fast, and unapologetically hands-on. It was the original data access layer for developers who wanted complete control. And two decades later, it’s still the tool of choice when performance, precision, and transparency matter most. But how does it deliver that control?

In the race to deliver groceries in record time, traditional retail stores are undergoing a digital and operational transformation. At the heart of this shift are dark grocery stores—specialized facilities designed exclusively for fulfilling online orders. Unlike conventional retail outlets, these locations are not open to the public. Instead, they are optimized for speed, precision, and scalability, forming the backbone of the rapid delivery ecosystem.

Pulseway and Kaseya have worked side by side for years, driven by a shared goal: to make powerful, easy-to-use IT solutions accessible to small and midsized businesses (SMBs). With the release of Pulseway 9.15, the merger becomes a reality into the product, with new features and a path for innovation. This update marks the beginning of a deeper alignment between the two platforms, giving Pulseway users direct access to the benefits of Kaseya's broader ecosystem.

If you use Checkly, eventually you'll be looking at alerts about something failing, and wonder how to debug a failed check. For most of us, the first thing we want to see is the video of a failed check run. Sometimes, though, our check doesn’t capture video. This guide will cover three common reasons a video doesn’t show up on a check run. This advice is general for Playwright as well as those running Playwright tests on Checkly.

Security, operations, and development teams rely more and more on the ability to efficiently query logs. As these teams monitor the health, performance, and usage of their systems and investigate incidents, delving into log data can often be a matter of urgency.

Most CircleCI pipelines are configured to trigger automatically on code commits, but not every development scenario fits that model. Sometimes you need to trigger a build manually—to test pipeline changes, retry a flaky test, or run CI on a colleague’s branch—without the friction of pushing empty commits or navigating to the UI to manually trigger a build.

Once upon a time in the world of metrics, Wavefront was a pioneer. Before Prometheus took over and tools like OpenTelemetry unified tracing and metrics, Wavefront brought something novel to the table: human-readable metrics with real-time querying and tag-based dimensionality. In enterprise environments running VMware or early microservices, it offered a scalable way to understand a system's behavior. But as the telemetry landscape evolved, many systems that spoke Wavefront were left behind.

Companies using AI are expected to grow by 5.6% in 2025, pushing AI-driven business value to $4.9 trillion, up from $4.7 trillion in 2024, predicts Forrester. If this momentum continues, we won’t just see growth in AI adoption; we’ll witness a transformation in how businesses operate, opening doors to even greater innovation and long-term success.

Containers have been with us for a while and are ubiquitous in the Secure Software Development Life Cycle (SSDLC). According to some reports, nearly 60% of organizations use containers for most or all of their production applications. It’s no surprise really, as containers provide consistency and standardization across the lifecycle while speeding up delivery pipelines. They revolutionized how we develop and deploy apps in the cloud and there is no sign of this changing anytime soon.

Throughout this blog series, we’ve followed how AI reshapes network operations – from foundational data harmonization to real-time correlation, from contextual insights to agent-driven automation, and most recently, to conversational access through natural language interfaces. But we haven’t reached the final destination.