Operations | Monitoring | ITSM | DevOps | Cloud

Using DCIM to Drive Down Data Center Energy Costs

Data centers are energy-intensive, and with the surge in AI-driven workloads, their global energy consumption is projected to more than double by 2030, potentially surpassing the current electricity consumption of Japan. For most data center operators, energy is one of their largest recurring expenses. As demand for data center capacity continues to grow and energy prices fluctuate, energy efficiency is no longer just a sustainability goal, it's a core business concern.

You, Me, and BugSplat's MCP

Let's face it - from an experienced developer's perspective, most software trends are, put lightly, incredibly annoying. The last thing a grizzled, old, technical wizard wants to hear is some half-brained junior developer telling them to switch their SQL server to MongoDB, replace the PHP EC2 with serverless Python, or rewrite their entire front-end with HTMX. The hype-train is so intense that even watching TV feels risky, as you might see something as absurd as an ad for AI toothpaste.

What's Holding Back AI Adoption in India?

Earlier this year, I spent a few weeks in India, visiting universities, speaking at meetups, and catching up with founders. What stood out wasn’t just the excitement about AI, but the focus on what it can actually do today. The curiosity about GenAI and big-picture questions around AGI is there, but most conversations centered around real needs: learning faster, applying for jobs, and getting healthier.

Prometheus vs Zabbix: A Hands-On Technical Comparison and a Modern Alternative

When choosing a monitoring tool, two popular names often come up, Prometheus and Zabbix. Both are powerful and widely adopted but come with different approaches and learning curves. Prometheus is favored in cloud-native environments for its time-series data model and flexibility, while Zabbix has long served traditional IT infrastructures with its rich agent-based monitoring. But what if you are looking for a simpler, more unified solution?

Your Observability Platform Has a Blind Spot: Don't Risk Your Operations on Bolt-on Incident Response Modules

Observability platforms want to do it all—from data collection to incident response. Their pitch is appealing: one platform to eliminate context switching and reduce overhead. But when critical systems fail—and they will fail—, add-on incident management modules won’t save you. You need an end-to-end system built specifically for high-stakes incident management.

Tracealyzer Was Just the Beginning

If you’ve been building embedded systems for a while, chances are you know Percepio for Tracealyzer. And we’re proud of that. For over a decade, Tracealyzer has been helping engineers visualize and solve complex RTOS issues faster, with over 30 ways to slice and understand system behavior. But in 2025, embedded systems demand more. They’re always on. Always connected. And increasingly, always business-critical.

Building an end-to-end Retrieval- Augmented Generation (RAG) workflow

One of the most critical gaps in traditional Large Language Models (LLMs) is that they rely on static knowledge already contained within them. Basically, they might be very good at understanding and responding to prompts, but they often fall short in providing current or highly specific information. This is where RAG comes in; RAG addresses these critical gaps in traditional LLMs by incorporating current and new information that serves as a reliable source of truth for these models.

What Is a Digital Footprint? How To Reduce Your Presence Online

Have you ever googled yourself out of curiosity, and found out way more information than you thought? That’s because many companies, social media outlets, and apps, create a digital footprint of you anytime you visit a website or service. What is a digital footprint, you ask? It’s the data you leave behind whenever you visit a page online.

Preparing for Opsgenie End of Life: Why xMatters is the Ultimate Alternative

On April 5, 2027, Opsgenie will officially reach its end of life (EOL). For organizations relying on Opsgenie, this news indicates an impending need to reassess their incident and on-call management solutions. Organizations must weigh their options carefully, with Opsgenie pivoting to Jira Service Management (JSM) and Compass as replacements. Transitioning from Opsgenie to Jira Service Management or Compass may not be enough.

5 Common Mistakes to Avoid When Converting SVG Files to 3D Models

Converting Scalable Vector Graphics (SVG) files into 3D models has become especially popular. SVGs offer precision and scalability, but with 3D modeling, otherwise flat designs become textured, interactive spaces. However, it is not a foolproof process. Many beginners, and sometimes even experienced users, experience problems when converting these files. This can cause delays that derail time-sensitive creative projects. These are the 5 common mistakes to avoid when converting SVG files to 3D models.