Operations | Monitoring | ITSM | DevOps | Cloud

4 Chaos Engineering recommendations from Gartner

Gartner recently published their annual Hype Cycle reports, including the Hype Cycle for Infrastructure Platforms. Designed to help heads of infrastructure and IT operations make informed decisions about infrastructure platforms, it includes over thirty different topics covering everything from platform engineering to distributed cloud to policy as code—including Chaos Engineering and Site Reliability Engineering.

Get started with Grafana Alerting: Create and receive your first alert

In this tutorial, we walk you through the process of setting up your first alert in just a few minutes. Don't miss the rest of the "Get started with Grafana Alerting" series! Each part dives into a different feature to help you get the most out of alerting in Grafana.

AI Ticket Summary in Seconds #itsupport #ai

Alloy Navigator’s AI ticket summaries help your IT team get up to speed on any support ticket—so they can resolve issues faster. No more scrolling through endless conversations and ticket updates! AI-powered summaries are available for incidents, problems, change requests, work orders, and service requests. AI ticket summarization and other AI-powered insights were introduced in the Spring 2025 release of Alloy Navigator (Enterprise and Express editions).

Deploying secure AI: Canonical + SpectroCloud for federal missions

As mission requirements evolve, federal agencies and defense teams need infrastructure supporting AI/ML workloads anywhere, from secure cloud environments to disconnected edge locations. In this fireside chat, Mark Lewis (VP, Application Services at Canonical) and William Crum (Senior Defense Success Engineer at SpectroCloud) discuss how their organizations are helping federal customers deploy secure, scalable, and consistent Kubernetes and AI infrastructure across hybrid and edge environments.

Elasticsearch with Python: A Detailed Guide to Search and Analytics

If you’re using Python for search, log aggregation, or analytics, you’ve probably worked with Elasticsearch. It’s fast, scalable, and fairly complex once you go beyond the basics. The official Python client gives you raw access to Elasticsearch’s REST API. But getting it to work the way you want, especially under load, can be tricky. This blog walks through practical ways to index, query, and monitor Elasticsearch from Python code, without getting lost in the docs.

Here's the proof: What the fastest sites on the web have in common

60% of Gen Z won’t engage with a slow-loading website. In today’s digital economy, that’s a deal-breaker. Whether it’s a banking portal, a travel app, or an AI-powered SaaS platform, users expect performance. Instant loading, global reliability, and smooth interactivity aren’t just nice to have—they define the winners.

Interviewing Tech Talent: Finding Your Next Team Member

Sometimes, being the interviewer can be as nerve-wracking as being the interviewee, especially since these kinds of conversations are not ones that you have on a daily basis. It can be difficult to know what questions to ask, things to watch for, questions you need to be prepared to answer, etc. All of this is made even more challenging when you consider the technical skills that IT organizations require.

Introducing DX NetOps Topology: What It Provides, How It Works

Networks aren’t what they used to be. While your network operations teams still have legacy equipment to manage, they’re also contending with the expanded reliance on software-defined networking (SDN), hybrid and multi-cloud architectures, private clouds, and more. These environments are anything but static. They’re sprawling, dynamic, and evolving faster than ever—which means that establishing and retaining visibility and control is more challenging than ever.