Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

Enterprises need strong observability to ensure system reliability, proactively detect and resolve issues, optimize performance, enhance security, and maintain seamless business operations across complex distributed environments.

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?

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.

The Azure Cloud platform processes an extensive variety of data including Eventhub Diagnostic Logs, Kubernetes Metrics, SQL Logs, Activity Logs, Container Activity Logs, and Azure Metrics. Depending on the requirements of your organization these logs offer various levels of importance and priority. But it’s more than likely that you will be monitoring a large variety of these logs.