CircleCI cloud offers over 20 resource classes (varying CPU and RAM) across multiple execution environments. Finding the best resource class size for your job — not too big and not too small — can sometimes be a challenge. But now, you can view CPU and RAM usage for Docker executors within the UI. The new dashboard, found in the new Resources tab on the job details page, displays the CPU and RAM, for all parallel runs in your Docker job.

For the past three years, I have been running and facilitating a community where folks from all levels and departments at CircleCI can come together to discuss diverse topics. We call it “Let’s Talk Engineering.” Some of the topics we’ve covered have been technical in nature, while others have focused more on leadership: how different teams operate, personal growth, and writing to name a few. Let’s Talk Engineering celebrates interdisciplinarity and multidisciplinarity.

Before we talk about OpenTelemetry, we should talk about telemetry. Telemetry is: And an instrument is: For the purpose of measuring running computer software and systems, our instruments are virtual instruments. That is to say, code that measures other code. It sounds simple: read a measurement and send it to a remote location. In practice, to make that telemetry data useful in today’s cloud-native and ever more complex environments, there are huge logistical and technical hurdles to overcome.

OpenTelemetry is enabling a revolution in how Observability data is collected and transmitted. See our What Is OpenTelemetry post on why this is an important inflection point in the Observability space. In this post, we’ll walk through how to configure the OpenTelemetry Gems within a Rails app.

Today we’re announcing the general availability of Grafana OnCall on Grafana Cloud for all paid and free plans. A big part of delivering great software is ensuring the right people get the right information when the inevitable incidents occur. We want to help you do that with Grafana OnCall, an easy-to-use, developer-first on-call management tool that’s built on top of the Grafana stack you know and love.

This blog post is part 2 of our Monitoring Microsoft Azure Active Directory series. Managing Identity is a big challenge in a cloud environment, especially when users can potentially log in from anywhere. Additionally, users can often use different types of devices to log in and access cloud-hosted resources. Without a central Authentication and Authorization source, it is very difficult to manage who can login to what and who can do what with a cloud resource.

It’s soon two years since I’ve introduced you to Icinga L10n. There I’ve talked about a place on-line to ease collaboration. So, without further ado, let me introduce you to translate.icinga.com! We’re using Weblate on there and hope that interested users may already be familiar with it. The basic tools are easy to grasp though. And even if not, it has an extensive user documentation.

Profitability in SaaS can be tricky. A company's net earnings are based on its invested capital, assets, and equity. But its profit margin shows how much money it extracts from its total sales or revenue — its ability to turn revenue into profit. Performing a thorough margin analysis or profit margin analysis is a reliable way to assess the company’s financial health.

Cybersecurity continues to be a thorny problem for businesses and government agencies as breaches, disruptions, and data thefts continue to escalate. To help ensure that the growing number of government and private organizations implementing Kubernetes solutions have the highest possible levels of security, the National Security Agency (NSA) and Cybersecurity and Infrastructure Security Agency (CISA) have issued guidelines for hardening the security of Kubernetes implementations.

Ever wonder how your teammates go about debugging? When you use Honeycomb, you’re not only getting observability into your systems; it also provides observability into how your teammates use Honeycomb! Very meta, no? You’re never alone when writing or running Honeycomb queries. Opening up the right sidebar will show you the queries your teammates have recently run on the same dataset.