Operations | Monitoring | ITSM | DevOps | Cloud

AI And Sustainability: Measuring The Impact Of The Generative AI Boom

Before 2022, Alex Hanna worked on Google’s Ethical AI team. Today, she’s the director of research at the Distributed AI Research Institute, a transition sparked by Google’s handling of a paper exposing AI’s growing environmental footprint. So, how bad is it, really? That depends on who you ask. Take Jesse Dodge, a senior research analyst at the Allen Institute for AI. Jesse told NPR that a single ChatGPT query can use as much electricity as keeping a light bulb on for 20 minutes.

Stop the guesswork: Troubleshoot with confidence with process monitoring

IT infrastructure is vast, complex, and interdependent. At any point in time, businesses rely on thousands of servers running thousands of processes. Detecting server downtime is fairly easy—but true observability is when you know precisely which processes are working as intended and which are silently contributing to performance degradation. A failed database worker or a memory-leaking background service can silently drain resources until your most critical apps grind to a halt.

Synthetic Monitoring for GraphQL Endpoints: Beyond the Query

GraphQL isn’t just another API protocol—it’s a new layer of abstraction. It collapsed dozens of REST endpoints into one flexible interface where clients decide what data to fetch and how deep to go. That freedom is a gift for front-end teams and a headache for anyone tasked with reliability. Traditional monitoring doesn’t work here. A REST endpoint can be pinged for uptime.

Building dbRosetta Using AI: Part 1 of Many

Like many of you, over the last couple of years, I’ve been using AI, or, well, let’s just name it appropriately, Large Language Models (LLM), as a part of my job. I’ve also used it in my hobby. With it, I’ve generated snippets of code, tested data conversions, even built a small database for a presentation. However, to date, I haven’t tried doing everything through the LLM. Now, I’m going to.

Intent-Driven Assertions are Redefining How We Test Software

Traditional UI testing struggles to keep up with rapid design and workflow changes, often focusing on brittle selectors rather than user outcomes. Harness AI Test Automation introduces intent-driven, natural language assertions that understand what teams want to verify, not just how tests are written.

AI Agent for Proactive Problem Management: A Shift Toward a Ticketless Future

As organizations rely on increasingly complex IT infrastructures, incident management often turns into a constant cycle of alerts, escalations, and fixes. While reactive responses may keep operations running, they rarely address the deeper systemic issues that slowly erode performance. Recurring incidents, silent failures, and hidden patterns are usually symptoms of unresolved root causes that traditional approaches struggle to uncover.

The Key Benefits of Professional Localization Services

Expanding into new markets is exciting, but it can also be risky if your content doesn't connect with local audiences. A simple translation won't guarantee success, because what resonates in one country might not make sense in another. This is where professional localization comes in. It ensures that your message fits perfectly with each region's language and culture. Stay with our story to the end to find out how localization services can strengthen your brand and drive better results.

40 Best Cloud Network Monitoring Tools of 2026 for All Platforms and Giants like AWS, Google, Azure, IBM, and Oracle

Cloud network monitoring software is a type of software designed to monitor and manage the performance, availability, and security of networks and network devices in cloud environments. These tools use various techniques to gather information about network traffic, bandwidth utilization, application performance, and other metrics related to network health and availability.

Are You Missing the Easiest Azure Discount in Your Stack?

If you’re using Microsoft Defender for Cloud, you’re probably overpaying. There’s a commitment-based pricing model that can save you up to 22% annually. But Azure won’t recommend it, and third-party tools ignore it. This blog breaks down how Defender Commit Units (DCUs) work, why they’re a blind spot, and what you need to do about it.