Operations | Monitoring | ITSM | DevOps | Cloud

To celebrate a 3-year integration anniversary between Cloud 66 and Vultr we’re showcasing some of the changes and improvements that we have implemented in both of our platforms. To show how well our platforms work together, we’re taking a Rails 7 application sample and walking you through how to containerize and deploy that application on Vultr with Cloud 66.

Separate “debug” and “release” builds are very common in embedded development. Typically the notion is improved debug capabilities (less aggressive compiler optimizations, more debugging information like logs) vs. highly optimized and hardened production release builds. I’m here to describe disadvantages to this practice, and why it might make sense to consolidate to a single build! Like Interrupt? Subscribe to get our latest posts straight to your mailbox.

It’s cloud earnings week this week for AWS, GCP, and Azure, and I have already heard the pundits warming up the hot takes. Some are even asking if this could be the end of the cloud. My advice to you: Don’t be that person unless you enjoy being horribly wrong. No, I'm not saying that when AWS, Azure, and GCP report their growth that it's going to be anything different than what we expect.

JMX metrics give solid insights into the workings of your application. Integrating them with Levitate (our time series data warehosue) required us to jump some hoops with vmagent.

Welcome to the second part of this series of blog posts on How to throw custom exceptions inside Logic Apps. In this series of five blogs, I will cover throwing custom exceptions in Logic Apps. I will cover the following topics: In this second approach, we are going to do a small fine-tuning of the previous approach by adding the capability to define custom error messages for each condition and, of course, get that information inside the Catch Scope.

This is a tutorial for deploying Prometheus on Kubernetes, including the configuration for remote storage on Metricfire. This tutorial uses a minikube cluster with one node, but these instructions should work for any Kubernetes cluster. Here's a video that walks through all the steps, or you can read the blog below. You can get onto our product using our free trial, and easily apply what you learned.

We are pleased to announce that a tech preview version of Rancher Desktop with support for Docker Extensions has just been released!

Before we dive into the specifics of each alternative to Datadog, let's address the most critical point: scaling. Datadog is great for users who need to do a little bit of everything, but Datadog's biggest weakness is scaling. Datadog can do logs, APM, time series and more, but scaling time-series metrics, alerts, and servers will cause your monthly bill to escalate. The graph below shows what you pay at Datadog vs. MetricFire, a leading competitor.