Amazon Web Services (AWS) offers several native tools for reporting and cost optimization. Among them is AWS Budgets, a service that enables users to set spending and usage limits on their AWS resources. It also schedules reports with regular updates on actual or forecasted costs, ensuring users are informed of usage. However, AWS Budgets is a budgeting tool and has limitations when it comes to comprehensive AWS cost control.

Data overload. Poor decision-making. Inefficient processes. Limited real-time insights. These are just a few of the many challenges an organization would face without business intelligence (BI). Yet traditional BI has its own set of challenges, including complexity, cost, data diversity, and more. These limitations have led businesses to seek a more affordable and efficient solution — the cloud. This article explains cloud business intelligence (cloud BI), how it works, and its benefits.

We take our phones and tech devices everywhere — whether it’s on the train, at a coffee shop, or even in bed, we’re rarely far from them. In fact, 75% of Americans admit to using their phones even while on the toilet. With each new location, our devices pick up a mix of dust, dirt, and germs along the way. While the COVID-19 pandemic may have heightened our awareness of germs, are we paying enough attention to the bacteria that can gather on our everyday gadgets?

Cloud adoption is growing rapidly, and businesses are increasingly using platforms like Azure to run their services. However, managing costs efficiently is crucial to prevent overspending. By tracking costs per department, you ensure that each team is accountable for its cloud spending, making optimization and budgeting more effective. In this article, we’ll explore how to track and allocate Azure costs per department, ensuring your organization optimizes its cloud budget.

Data is in the digital age what oil was in the industrial age. Many organizations have noticed this and are now racing to find the most efficient, cost-effective, and robust platforms to help organize, store, and manage their data. Amazon RDS offers a robust cloud database solution, but like any service, it has limitations. In this guide, we’ll explain cloud database management, how Amazon RDS supports it, and why it might not meet all needs.

Data drives decisions forward. Every insight leads to action. A 2024 Gartner report revealed that organizations utilizing analytics and AI are better positioned to manage complexity, build trust in data, and empower their teams. This underscores the critical role of data intelligence. It involves collecting and analyzing data to uncover patterns and trends that help businesses take action. As a result, they can make informed decisions, optimize performance, and gain a competitive edge.

Cloud costs can pile up quickly, and often behind the scenes. We explain how you can help your business keep cloud spend under control. Enterprises—including small- to medium-sized—often find themselves struggling to manage costs and predict their cloud storage. And it’s not necessarily because we’re acquiring more things – it’s because the things we have are getting bigger.

Microsoft Azure is the most popular cloud computing platform after Amazon Web Services (AWS). With over 200 services and resources available, there are plenty of ways to use Azure. This means the Azure public cloud allows hundreds, if not thousands, of unique configurations. This flexibility is ideal for tailoring Azure to your workload’s requirements but also makes cloud management more challenging.