Operations | Monitoring | ITSM | DevOps | Cloud

AI is being adopted at a faster rate than ever across the business world. According to Stanford, 78% of organizations had implemented AI in some form by 2024. And if that’s not convincing enough, 92% of companies plan to expand their AI investment over the next three years. Practically everyone, including your competitors, is already using AI to gain a competitive edge. If you don’t act soon, there's a real risk of falling behind.

Network administration has become more complex than ever. IT professionals are tasked with managing sprawling infrastructures, maintaining uptime, optimizing performance and defending against increasingly sophisticated security threats. With hybrid environments, cloud integrations and remote workforces, the pressure to maintain seamless connectivity and security is relentless.

Organizations are increasingly looking to build quality and security into their systems and services by design, often by the adoption of frameworks, standards and certifications such as SOC 2 Type 2 audits and ISO/IEC 27001.

For years, WebPageTest has been the gold standard in web performance testing, trusted by developers, SEOs, and performance engineers worldwide to make the web faster and better. Now, we’re taking that mission even further.

We've just released Refinery 3.0, a performance-focused update which significantly improves Refinery's CPU and memory efficiency. Refinery has a big job: it performs dynamic, consistent tail-based sampling that maintains proportions across key fields, adjusts to changes in throughput, and reports accurate sampling rates.

Four months ago, we announced our vision of AI-first observability. Today, we’re not just talking about the future, we’re shipping it. This week marks a significant milestone with several major product announcements that demonstrate our continued momentum as the industry’s leading AI-first observability platform.

Companies invest millions of dollars in observability platforms, yet they often still struggle to get application monitoring right. This is because most organizations focus on the technology, while neglecting the business. In this article, we’ll show you how to combine business requirements with technological needs. As the CTO of Logz.io, these are based on my experience working with global companies on their application observability needs.

Welcome to the world of Microsoft Teams! When it comes to video conferencing and messaging, Microsoft Teams is one of the most popular players in the game. When we get error messages like Microsoft Teams “We're sorry—we've run into an issue,” or “something went wrong,” it’s important to have a tool to help monitor and troubleshoot Microsoft Teams performance issues and connection issues.

Latency isn’t just a technical metric in gaming—it’s an emotion. Players don’t measure milliseconds, they feel them. A button press that lands a fraction late, a flick shot that fires just off target, a character that rubber-bands at the worst possible time—all of it translates to frustration. In fast-paced multiplayer environments, a 50ms delay can decide outcomes, erode trust, and send players to competitors who seem “smoother.”

In today’s fast-paced development environment, it’s critical that you understand what’s happening in your CI/CD pipeline. And yet, many teams struggle with fragmented tooling that makes it difficult to get a holistic view of their dev lifecycle. For example, if you’re using GitLab for CI/CD and Grafana for observability, you’ve probably faced this challenge: how do you bring your GitLab events into your existing observability and alerting infrastructure?