Operations | Monitoring | ITSM | DevOps | Cloud

We're thrilled to share that we have a new SharePoint plugin! Watch the video below to see how simple it can be to bring business context into your dashboards.

Building on the success of previous years, this year’s edition of our premier customer event dove even deeper into exploring how SquaredUp users can leverage the power of their data. Our sessions featured real-life use cases, product demos, dashboarding tips and tricks, and live discussions with the SquaredUp team and fellow users.

Oracle Cloud Infrastructure (OCI) provides powerful tools for managing your cloud resources, but getting a clear, real-time view of your usage and costs can sometimes feel locked away behind complex reports. What if you could build beautiful, shareable dashboards that show you exactly what you're spending, where you're spending it, and how it trends over time? In this guide, we'll walk you through deploying a simple, secure OCI Function that acts as a proxy to OCI's Usage API.

SquaredUp's existing notifications fire when monitors change state. With Notification API, you control the trigger. Send dashboards on a schedule, before meetings, or on-demand through chat commands. In this step-by-step guide, you’ll learn how to automate sending SquaredUp dashboards to Slack. I’ll use Power Automate as the example, but the same approach works with other automation tools such as Zapier, Make, n8n, or even a custom script, as long as it can send an HTTP request.

Managed Service Providers (MSPs) live and die by their data. Externally, clients expect clear reporting, fast responses, and visible proof of value. Internally, smooth operations and low overheads are essential to business success. But with so many tools, key data is scattered across multiple systems – PSA, RMM, cloud services, ticketing, monitoring, finance – and that causes blind spots. Dashboards fix this problem by consolidating data into a single view.

As engineering organizations scale, project visibility becomes a real challenge. Engineering managers lose track of what's actually happening across multiple teams. Executives ask "are we on track?" and get conflicting answers. Status meetings multiply but clarity doesn't improve. The root problem isn't lack of data, modern engineering teams generate tons of project information across JIRA, GitHub, CI/CD pipelines, and project management tools.

SquaredUp Dashboard Server (DS) and SquaredUp Cloud both deliver cutting-edge data visualization for IT and engineering teams. The two products can be used independently, or together for complete operational visibility. This article explores how SquaredUp DS and Cloud differ, when to use each, and how they work together.

A recent survey revealed that developers and engineering teams waste 8+ hours a week on inefficiencies in their role. Poor reporting tools are a main contributor, with Jira being regarded as a frequent source of friction. But since Jira is so deeply embedded in most organizations' infrastructure and processes, replacing it is not really an option. Rather, the solution lies in optimizing how users interact with it rather than abandoning it altogether.

Jira is an industry favorite when it comes to managing software projects, yet its native dashboards can sometimes leave teams wanting more insight. The default views give a general update, but often lack the connection to the day-to-day activity happening in other parts of your workflow. As organizations use a wide mix of modern tools – from code repositories and cloud services to spreadsheets and reporting apps, it’s easy for critical details to get scattered or overlooked.

DORA Metrics are widely regarded as the gold standard for measuring the performance of software development teams. The metrics themselves though are generic, high-level pointers – they are not an instruction manual. Adopting the DORA approach is the first step down the path to continuous improvement. The next steps are deciding how the measures should be defined in the context of your own organisations processes and then figuring out how to retrieve (and present) the relevant data.