Operations | Monitoring | ITSM | DevOps | Cloud

Imagine spending weeks grinding through SQL tutorials, practicing syntax, and refining your queries in your spare time. But when the interviewer throws a complex JOIN + subquery at you, your brain suddenly hits a 404. It happens to the best of us. However, most candidates crash and burn—not because they lack knowledge, but because they prepare like students instead of engineers. They memorize syntax, pray for predictable questions, and freeze the moment they’re asked to think, not recite.

Without SQL aggregate functions, databases would be nothing more than glorified spreadsheets. These functions—SUM(), COUNT(), AVG(), MIN(), and MAX() —do the heavy lifting in analytics. They process massive datasets, transforming scattered records into clear, usable insights that drive decision-making. But while aggregation simplifies data, it can also slow things down.

The power of AIOps and Observability relies on the ability to ingest, normalize, and correlate the large volumes and huge variety of data available to IT operations teams. With its support for both Broadcom and third-party data, DX Operational Observability (DX O2) gives these teams unmatched observability and insights. With so much data coming to DX O2, monitoring operators need to be notified when important events may occur: Without notifications, important alerts may be overlooked.

To start securely and efficiently, Linux systems follow a carefully orchestrated sequence of steps to initialize firmware and manage services. Applying security patches to the software responsible for some of these early steps of Linux startup often requires a full system reboot.

New IDC study, co-sponsored by Canonical and Google Cloud, reveals the challenges and opportunities for organizations securing their software supply chains. Today, Canonical and Google Cloud released findings from a joint research project conducted by the International Data Corporation (IDC) that sheds light on the critical challenges organizations face in securing their software supply chains. The report, “The State of Software Supply Chains.

You can assess your company’s financial health using a number of SaaS metrics, depending on the type of business you are in. Among the most useful is the SaaS Magic Number. So, why is it called the SaaS Magic Number, and how do you calculate it? And why is it so important to track your SaaS Magic Number regularly?

Sometimes Query Optimizers are seen as a sort of black magic, “the most challenging problem in computer science,” according to Father Pavlo, or some behind-the-scenes player. We believe this perception is because: However, Query Optimizers are no more complicated in theory or practice than other parts of a database system, as we will argue in a series of posts: Part 1: Part 2: After reading these blogs, we hope people will use DataFusion to.

Resource exhaustion at a node remains a critical issue. However, the automation of deployment and management of containerized applications is executed relatively efficiently in Kubernetes. When a node is low on resources—as in CPU, memory, or storage—a workload may suffer from failures, degraded performance, and eviction.

You're likely well aware of how damaging network downtime can be to an enterprise's revenue, reputation, and overall operational efficiency. But what if you could spot potential issues before they turn into major problems? That's how Simple Network Management Protocol (SNMP) traps help enterprises stay ahead of failures and keep networks running smoothly. SNMP traps are an essential tool for network observability in enterprises looking to maximize uptime, optimize costs, and enhance resilience.