Operations | Monitoring | ITSM | DevOps | Cloud

CloudZero just closed at $32M Series B fundraising round in the weakest funding environment since the dawn of the pandemic. The round was led by Innovius Capital and Threshold Ventures, with continued support from existing investors Matrix Partners, Underscore VC, and G20 Ventures. CloudZero is a SaaS product, a data-dense platform delivered via the cloud, mostly to other SaaS companies and digital native businesses (DNBs).

We’ve all been there. You’re working through some rather frustrating blockers during an incident only to discover that you don’t own the dependency at fault. Or, you’ve been pounding away at an issue when a fellow engineer reaches out and asks if your service is affected by some particularly gnarly database failure they’re seeing. But then what? Do you merge efforts and work in parallel or head for a coffee break while the issue gets attacked upstream?

As the popularity of Windows Subsystem for Linux increases, the Ubuntu development team is committed to delivering a first class experience for Linux developers on Windows. To achieve this we’ve made improvements to our automated testing workflows via the creation of WSL-specific GitHub actions. In this post, Ubuntu WSL engineer Eduard Gómez Escandell talks us through the motivation for this approach and how you can implement these actions for your own CI workflows.

The evolution of information technology is governed by how businesses adapt to ever-increasing amounts of data. Those businesses most able to exploit more data, win. Terms such as ‘speed’ and ‘agility’ refer to how a business handles and uses this data. Given the 2.5 quintillion bytes created every day, there is a huge opportunity for businesses to create unassailable leadership.

Building Docker images efficiently is crucial for developers and organizations seeking streamlined development and deployment processes, and it’s a real topic for the 50k developers on Qovery; a few weeks ago, a topic was even open on our forum about it. In this article, we will explore three valuable tips gathered along the way to improve the build time of your Dockerfiles, allowing you to optimize your workflow and save valuable time.

Kubernetes has revolutionized the world of container orchestration, providing organizations with a powerful solution for deploying, managing, and scaling applications. However, the complexity of Kubernetes can be daunting for newcomers. In this blog, we will demystify Kubernetes by breaking down its core components, revealing its operational principles, and guiding you through the process of running a pod.

If you had the power to predict the future, how would you use it? Gartner refers to the predictive modeling process as that which collects data, formulates a statistical model, makes predictions, and then validates the model as additional data becomes available. In the world of intelligent automation, teams use predictive modeling to formulate how future outcomes or behaviors will be, by using historical data, machine learning (ML) algorithms, and analytical techniques.