Operations | Monitoring | ITSM | DevOps | Cloud

Dashboard Fridays: Sample VMware dashboard

These three VMware dashboards built in SquaredUp provide a full overview of the data in a VMware deployment so users can spot performance issues and fix them fast. Having all the VM performance and health metrics in one place – for your VMs, VM hosts, and guest VMs – allows engineers to pre-empt issues and fix them before they become problems for end users.

Metrics vs. Logs vs. Traces (vs. Profiles)

In software observability, we often talk about three signal types - metrics, logs, and distributed traces. More recently I've been hearing about profiles as another signal type. In this article I will explain the different observability signals and when to use them in a clear and concise way.

Instrumenting Node.js code with Prometheus custom metrics

Automatic instrumentation is great, but to get the most out of your monitoring you often need to instrument your code. In this article I am going to explain how to instrument a Node.js express app with custom metrics using the Prometheus prom-client package. Although this article specifically addresses Node.js and express, my hope is that the general concepts are applicable to other languages too.

Dashboard Fridays: Sample Jira Dashboard

These Jira dashboards give a clear overview of your Jira instance and provide more details on the key items over which the engineering team needs oversight, like build status, critical bugs, and costs. Creating Jira dashboards in SquaredUp means Engineering Management doesn’t have the additional work of collating all the detailed Jira data to make sense of it from a high level. It also enables Release Teams to more easily consume data surfaced from all the engineering teams, while still being able to drill into the details of each dashboard as needed.

Bad Observability

Observability has become a bit of a buzzword in the industry for the last few years. Exactly what "observability" means depends on who you ask, but most people would agree its about both: There's plenty of content out there telling you how to implement observability, or what good looks like. But what about bad observability? What are some anti-patterns to watch out for?

Grafana vs. Power BI vs SquaredUp

You’re part of a data-driven engineering team. You have a rich, complex, and dynamic set of tools but you’re struggling to discover and share insights from all that data. So, you're looking for a platform that will help unify it all. Naturally, you want to compare Grafana vs. Power BI - the big names. Plus, there's a new player on the block - SquaredUp.

SRE Trends from AWS re:Invent 2022

In November/December 2022 I attended AWS re:Invent in Las Vegas. It was certainly an experience for this small town kid from New Zealand, and one that I took a lot away from. While I was at the conference, I took the time to walk around and take notes. In this article I will share the trends that I observed which I think will have an impact on SRE work in 2023 and beyond, including: ...and others.