Operations | Monitoring | ITSM | DevOps | Cloud

Power BI vs. SquaredUp: Which is right for IT teams?

At first glance, Power BI and SquaredUp both look like dashboarding tools. In practice, they solve different problems. SquaredUp serves engineering teams and IT teams, including SREs, DevOps engineers, engineering managers, and technology leaders. It connects to monitoring, cloud, DevOps, and ITSM platforms. This gives teams a real-time insights into service health, performance, and key metrics in one place. Power BI is Microsoft's business intelligence platform, designed for analysts and business teams.

Cost attribution in Grafana Cloud: Manage spend across observability and testing workflows

Knowing what you're spending on observability is useful. Knowing which team, service, or project is driving that spend is what actually lets you act on that information. Cost attribution is a core part of how Grafana Cloud approaches cost management and optimization.

Build a Docker Monitoring Dashboard in Minutes with Claude MCP + Uptrace

In this video, we use Claude MCP to create and merge Docker container dashboards in Uptrace — directly from the terminal, no manual clicking required. What you'll see: CPU, memory, network, and disk I/O dashboards created with plain text prompts Two dashboards merged into one unified view Dashboard exported as YAML for version control.

Beyond performance monitoring: Understand the user experience with Grafana Cloud Frontend Observability

You've optimized your Largest Contentful Paint. Your Time to First Byte is under 200ms. Your Lighthouse scores are green. And yet, your checkout conversion rate is quietly dropping. A segment of users in Southeast Asia is churning. Your support team is fielding tickets about a form that "just doesn't work" and you have no idea which one. Traditional frontend performance monitoring tells you whether your application is fast. It doesn't tell you whether people are actually succeeding when using it.

How to use Grafana Assistant with the AWS CloudWatch data source

Grafana Assistant meets AWS CloudWatch! In this video, Staff Software Engineer Ivana Huckova shows how to use Grafana Assistant, the AI agent built into Grafana Cloud, with the Amazon CloudWatch data source. Watch her query CloudWatch metrics and logs in plain language, build dashboards in seconds, and troubleshoot AWS resources — no query syntax required.

Webinar: Halo & SquaredUp - Dashboards that deliver

SquaredUp and Halo teamed up for a live webinar exploring why visibility matters, the reporting challenges many organisations face, and how HaloPSA data can be transformed into engaging dashboards using SquaredUp. We also heard from a customer on how they're using dashboards to manage costs and improve service delivery. Whether your goal is sharper reporting, greater visibility for customers, or a clearer demonstration of the value your services deliver, this session offers practical insights and real-world examples to help you get there.

Getting started with Huntress dashboards

If you run Huntress across a fleet of client environments, you already know the console gives you a solid view of agent health, threat detections and incident reports. What it doesn't give you is a way to put that data next to everything else you're tracking, your PSA tickets, your other security tools, the rest of your stack, so you can see the whole client picture in one place.

Grafana Labs named a Leader again in the 2026 Gartner Magic Quadrant for Observability Platforms

We’re delighted to share that Grafana Labs has been named a Leader in the Gartner Magic Quadrant for Observability Platforms for the third consecutive year. Notably, we’re also positioned furthest in “Completeness of Vision” for the second year in a row.

Stop switching tools to find answers: Grafana Assistant now works across 30+ data sources

When you're the on-call engineer and something breaks, you can quickly find yourself deep in a series of tools you don't regularly use—switching tabs, copying query results, and manually stitching together a picture of what's happening and why. People are increasingly turning to AI to get around this, but the results can be a mixed bag.

From AIOps to SEO Ops: How AI Automation Is Making Organic Growth More Observable

Modern technical teams have learned a clear lesson from DevOps, SRE, and AIOps: complex systems cannot be managed well if they are invisible. Applications need logs, metrics, traces, alerts, and feedback loops. Cloud infrastructure needs monitoring. Incident response needs context. Automation is most useful when it does not simply perform tasks, but helps teams understand what is happening, what needs attention, and what should happen next.