It’s April 22 and everybody knows today is Earth Day. But do you know how much energy your IT infrastructure is consuming and what that translates to in cost and carbon footprint? As we place more demands on our IT infrastructure to store and manage the reams of data we’re collecting and run advanced analytics and artificial intelligence on that data, we are inevitably consuming more energy in our data centers.

Data centers are the backbone of our increasingly interconnected world. They power everything from streaming services to AI, handling vast amounts of data every second. However, this technological advancement comes at a cost, with energy consumption being a significant concern. In fact, data center energy consumption is forecasted to double by 2026. As we venture further into 2024, it is important to review some of the key trends around energy consumption in data centers.

We’re excited to bring you relational fields, a new feature that allows you to query spans based on their relationship to each other within a trace. Previously, queries considered spans in isolation: You could ask about field values on spans and aggregate them based on matching criteria, but you couldn’t use any qualifying relationships about where and how the spans appear in a trace.

Virtual meetings have become essential for businesses, connecting teams and enabling collaboration from anywhere. Google Meet has been a reliable platform for these meetings, but ensuring smooth performance requires some know-how. In this article, we'll break down how to monitor and identify Google Meet performance issues. Whether you're an IT professional, network admin, or remote user, this guide is tailored to help you optimize your virtual meetings.

Kubernetes troubleshooting is a critical skill for developers and system administrators managing containerized applications. It involves diagnosing and resolving issues within a Kubernetes cluster, ensuring that applications run smoothly and efficiently. Troubleshooting can range from simple configuration errors to complex networking issues, requiring a deep understanding of Kubernetes architecture and components.

Downtime has always been shown in minutes, hours, and days but for shorter downtimes you would see "0m" even if the actual downtime was less than a minute. We've updated the UI to show downtime in seconds. This means no more manually calculating brief outages — you’ll see exactly how long the system was down :) Did you know you can add notes to downtime periods?

Serverless architectures have revolutionized how businesses deploy applications, offering scalability and cost efficiency by abstracting infrastructure management. This model, charging only for resources consumed, poses unique budgeting and cost optimization challenges due to its variable pricing structure. Navigating cloud costs in a serverless environment requires a nuanced understanding of leveraging this technology’s benefit while effectively managing expenses.

Vantage DX, the only Experience Management Solution purpose-built for Microsoft Teams. This might well be your first-time hearing about Vantage DX. If it is…welcome! We’re here to help enterprises improve their communication and collaboration by giving them the tools they need to understand what is and isn’t working with their Microsoft Teams setup. Here’s just a quick starter to give you some idea of what Vantage DX is capable of.

At this point, the technical and operational benefits of cloud computing are pretty much indisputable. But the cloud industry, as a whole, still has a long way to go in one critical area: sustainability. In fact, as shocking as it may sound, it’s estimated that cloud data centers have a greater carbon footprint than the entire aviation industry. Ida Fürjesová and Niki Manoledaki, both software engineers at Grafana Labs, are passionate about helping to change that.

Datadog’s infrastructure comprises hundreds of distributed services, which are constantly discovering other services to network with, exchanging data, streaming events, triggering actions, coordinating distributed transactions involving multiple services, and more. Implementing a networking solution for such a large, complex application comes with its own set of challenges, including scalability, load balancing, fault tolerance, compatibility, and latency.