Operations | Monitoring | ITSM | DevOps | Cloud

Wipe It Clean, Sell It Smart: The Right Way to Retire Your Servers

Selling servers is about more than moving hardware, it's about controlling risk. Inside every decommissioned unit sits sensitive data most businesses forget to address. Deleting files or formatting disks doesn't erase information. That oversight can cost millions, damage trust, or lead to serious legal consequences. Before a sale, every server must go through proper data sanitization. This process isn't just technical, it's strategic. It protects your clients, your team, and your brand. This guide walks you through the process, from data erasure methods to resale pricing. The goal.
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Implementing Agentic AI: A Technical Overview of Architecture and Frameworks

As businesses strive for smarter, faster operations, Agentic AI redefines enterprise operations, introducing solutions for autonomous decision-making and tackling complex challenges with precision. Agentic AI introduces an intelligent, enterprise-focused approach to enhancing operational efficiency and adaptability, paving the way for innovation. Its ability to support operational scalability and streamline workflows positions it as a vital tool for modern IT ecosystems.

Why AIX Automation Starts with Better Monitoring: How Galileo Powers Smarter Action

If your automation can’t trust the data it’s acting on, it’s not automation. It’s a guess. That’s why AIX automation monitoring is the foundation for success. Many teams encounter this gap when trying to automate AIX operations. Red Hat Ansible Automation Platform (AAP) and Event-Driven Ansible (EDA) can absolutely streamline routine tasks, like expanding filesystems or tuning adapters. But every playbook still depends on one thing: accurate, real-time monitoring.

ManageEngine named in the 2025 Gartner Magic Quadrant for AI Applications in ITSM

We're proud to announce that ManageEngine has been recognized in the 2025 Gartner Magic Quadrant for AI Applications in ITSM. This recognition comes after Gartner's comprehensive evaluation of our Completeness of Vision and Ability to Execute. We believe this recognition reflects our commitment to making AI-driven ITSM cost-effective, easy to implement, and scalable to meet modern enterprises' growing needs.

Making the invisible visible: Are your cloud firewalls and DDoS protection really working?

Every business builds strong defences to keep attackers out. Firewalls and DDoS protection serve that purpose, standing guard over company apps and websites, like knights at the castle gate keeping out trolls (not just the ones on X). But here’s the problem: those defences only work if users actually walk through the front gate. Sometimes, people find hidden paths or side doors around your walls, so the guards never see them enter.

SQL performance improvements: finding the right queries to fix (part 1)

A few weeks ago, we massively improved the performance of the dashboard & website by optimizing some of our SQL queries. In this post, we'll share how we identified the queries that needed work. In the next post, we'll explore how we fixed each of them. We'll cover the basics and gradually work our way up to the more advanced/complex ways of identifying slow queries. In this post, you'll see: Let's go!

What is Asynchronous Job Monitoring?

Modern applications don’t process everything inside the request/response path. To keep APIs responsive, time-consuming work like image resizing, payment processing, or data syncs is moved into background queues. Workers then pick up these asynchronous jobs and run them outside the main thread. Asynchronous job monitoring is the practice of tracking these background tasks: Without this visibility, background workers become a blind spot.

Faster, more memory-efficient performance in Grafana Mimir: a closer look at Mimir Query Engine

Until recently, Grafana Mimir — our open source, horizontally scalable, multi-tenant time series database (TSDB) — has exclusively used Prometheus’ PromQL engine to evaluate queries. While the PromQL engine works great, it sometimes needs a lot of memory to run, specifically in the Mimir querier component. To address this memory consumption issue, we recently introduced Mimir Query Engine (MQE).