Operations | Monitoring | ITSM | DevOps | Cloud

Knowing how to create a database is no longer just a backend task; it’s a core skill for building systems that perform under pressure and scale with complexity. With global data volumes expected to reach 175 zettabytes by 2025, developers must design systems that turn raw information into something meaningful, accessible, and usable. But what does that look like in practice? How do you go from raw data requirements to a reliable schema? Which engine should you choose?

Author Jeff Duntemann said a good tool improves how you work, whereas a great tool transforms your thinking. Companies that want to improve their cloud-based operations can rely on cloud metrics as an effective tool for transforming their cloud operations. You can’t fix what you don’t measure. Cloud metrics are the logs of data that a cloud infrastructure or application generates.

When someone leaves your company, the natural step is to disable their Microsoft 365 account. But what many businesses don’t realize is that they often continue paying for that user’s license — just to retain access to their OneDrive files, Teams chats, and emails. Over time, this adds up to thousands in unnecessary costs. In this article, we’ll explain.

Your AI agent worked flawlessly in development, with fast responses, clean tool use, and nothing out of place. Then it hit production. A simple "What's our pricing?" query triggered six API calls, took 8 seconds, and returned the wrong answer. No errors. No stack traces. Unlike traditional systems, AI agents don't crash, they drift. They make poor decisions quietly, and your monitoring says everything's fine.

Elasticsearch stands as one of the most robust open-source search engines available today. Built on Apache Lucene, it handles complex search operations, real-time analytics, and large-scale data processing with impressive speed and accuracy. Kubernetes has transformed how we deploy and manage containerized applications. This orchestration platform automates deployment, scaling, and operations of application containers across clusters of hosts.

Close the gaps in your SCOM monitoring with the Opslogix Autonomous Windows Service Management Pack SCOM offers strong monitoring capabilities, which is extended through its various Management Packs. However, a common challenge is that some Windows services goes unmonitored, simply because they don’t belong to a specific Microsoft technology like SQL Server or IIS.

Today is the day, we grant two products their long overdue maintenance. Maintenance always sounds boring, I hear you. But let me remind you that this also means we do and take care! And what this actually is all about: Now let’s see what each release offers!

Application Performance Monitoring (APM) is no longer optional, it is essential for delivering fast, reliable, and seamless digital experiences. But simply installing an APM tool isn’t enough. To truly know its potential, IT teams need to follow APM best practices. Best practices for APM refer to the most effective ways to monitor, analyze, and optimize your application’s performance using APM tools.

It’s 2:13 a.m. Your Microsoft Sentinel instance has flagged a high-severity alert – potential lateral movement detected across several endpoints. But the on-call analyst is fast asleep. The alert was sent… via email. By the time someone notices, hours have passed. The threat? It’s already spread. In modern security operations, detection is only half the battle. The other half? Making sure the right human sees the alert – and acts on it – in time.

In today’s rapidly evolving world of development, Database DevOps is becoming an essential practice. It combines the agility of DevOps with the intricacies of databases, all with the goal of enhancing speed, stability and collaboration when it comes to database changes. However, before diving into Database DevOps there are some key concepts your team should get acquainted with. Here are 10 key things you should know to truly understand and reap the benefits from Database DevOps.