The Uptime Institute’s 2022 Global Data Center Survey highlights a growing challenge for operators: attracting and retaining qualified staff. With 53% struggling to find skilled employees and 42% losing staff to competitors—a sharp rise from 17% in 2018—there’s a clear need for solutions. DCIM software emerges as a key response, offering a holistic view of data center operations. This includes monitoring power usage, cooling systems, server space, and network operations.

In the world of Kubernetes, scale-down operations are crucial for optimizing resource usage and reducing costs. The scale-down process involves identifying underutilized nodes and efficiently bin-packing the pods to minimize the number of nodes required.

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.

In the digital era, where data reigns supreme, the ability to extract meaningful insights from vast datasets has become indispensable. Though we have many data sources and data processing languages, SQL (Structured Query Language) stands as a cornerstone in this realm, empowering analysts, and data scientists to navigate through intricate databases with ease.

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.

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.

What it means to be “enterprise grade” has changed. In software development, the size of new artifacts and the pace of development has increased dramatically. Developers are now releasing new components daily, if not multiple times a day. With containerization, and now AI/ML models, new pieces of software can be multiple GBs or larger.