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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Qovery Demo Day Summary - December 2022

Our last Qovery Demo Day took place on a live on Tuesday, 20th of December. This event aims to give you some insights into what we did during the past month and what’s next and showcase some of our new features. This Demo Day was a bit special, as it was the last of the year, and to celebrate, we brought the entire team along to do a retrospective of the year and answer any questions you might have about our product.

Tips & Tricks for using Kubernetes

Businesses around the world are increasingly turning to container technology to streamline the process of deploying and managing complex, cloud native applications. Containers bundle all necessary dependencies into a single package, offering portability, speed, security, scalability, and ease of management, making them the preferred choice over traditional virtual machines (VMs).

Best practices for continuous testing with Datadog

In Parts 1 and 2, we looked at how you can build and maintain effective test suites. These steps are a key part of ensuring that application workflows function as expected. But how you run your tests is another important point to consider, so in this post, we’ll walk through best practices for executing your tests across every stage of development. Along the way, we’ll also look at how Datadog supports these practices for the applications that you are already monitoring.

Maximize efficiency with Terraformer: Manage Squadcast resources via IaC

Ever since Terraform was first launched by HashiCorp, infrastructure teams have been quick to leverage its functionality. Because deploying infrastructure via code became so much easier and error-free. This surely became a great way to deploy new infrastructure with custom configurations, but what about managing cloud infrastructure that is already defined? Can Terraform be used to make changes to them? Or can it be used to deploy the same configurations to new environments?

Optimizing Azure Cost with Azure Cost Management

Enterprise use of Microsoft’s Azure Cloud Services is expanding at an unprecedented rate as cloud computing usage expands. However, enterprises that have recently switched to Azure continue to have serious concerns about Azure cost efficiency. Managing the costs associated with Azure cloud infrastructure differs from reducing the cost of an on-premises server because Azure cloud infrastructure can be built as needed, typically outside the control of a traditional IT department.

How Tint Streamlines Infrastructure Automation and Meets Compliance Requirements

I recently had the opportunity to speak with Kevin Maschtaler, the Platform and Reliability lead at Tint, about their experience with Qovery. Tint began using Qovery in early 2022 to automate their infrastructure and support their team and customer growth. In this article, we will explore Tint's journey with Qovery, including how we continue to assist them with compliance in the testing and release process and how we help them save on cloud costs through our partnerships.

4 Common Obstacles To Managing Microsoft Azure Costs (And How To Overcome Them)

Microsoft Azure was a relative latecomer to the public cloud market: AWS preempted everyone in 2006, and Google GCP came next, in 2008. By the time Azure launched in 2010, the public cloud market had already grown to more than $24 billion. Despite being third to the party, Azure had a key advantage: The Microsoft Office Suite was (and is) a go-to choice for corporate collaboration.

Epinio End of Year Wrap

This 2022 was an incredible year for Epinio, SUSE’s application development engine for Kubernetes, enabling developers to go from Code to URL in one push. We removed many dependencies in the first few months, increasing the deployment speed and shortening the development feedback loop. We standardized the installation process with Helm, dropping the original installer. We added many new features, such as Services, allowing developers to provision custom resources autonomously.