Operations | Monitoring | ITSM | DevOps | Cloud

Modern application development demands speed, reliability, and reproducibility. But between third-party APIs, unstable backend services, and inconsistent test data, API development often struggles to achieve dependable environments for testing and iteration.

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.

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.

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!

Today, we have launched our MCP server. MCP (Model Context Protocol) is a standardized way for AI models to connect with external data sources and tools. If you use a tool like Claude Code, then this is how you can connect Oh Dear to it (you can create an API token in your account settings)

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.

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).

Modern IT environments are hybrid, distributed, and constantly growing. To keep them reliable, organizations rely on monitoring that scales, automates, and integrates seamlessly into existing workflows. We collected 24 Icinga customer stories from industries including finance, telecom, manufacturing, and public services. What unites them is the choice of Icinga as a flexible and cost-efficient alternative to proprietary monitoring tools.

We recently delivered a webinar titled IT/OT Convergence: Proactive Threat Detection for Industrial Control Systems (also available via Brighttalk).

As a Co-founder and CPO at Cribl, I'm genuinely stoked that our new federal suite, Cribl.Cloud Government, has achieved an “In Process” designation under the Federal Risk and Authorization Management Program (FedRAMP). This isn’t any old milestone. We’re bringing all of Cribl’s kickass capabilities to government agencies, even those that require the strictest compliance and security standards. Because, who doesn’t love a good set of rules?