AWS and Azure are two big names in the cloud world. If you have already invested in Microsoft technologies, you might prefer Azure over AWS. However, it is not as simple as that. Many factors are involved in this decision, including the type of service, pricing model, geographical area, your existing technology, etc. In this article, we will compare all the major cloud service categories of AWS and Azure and will compare both companies in detail.

Defining multiple environments in Argo CD and promoting an application between them is one of most popular questions for companies that adopt GitOps for their applications. While we have offered several guidelines in the past for organizing your GitOps environments, today we are taking it further by announcing a complete product that helps you visualize the full lifecycle of an application as it moves through different stages. Meet the new Codefresh GitOps Environment Dashboard!

Incompatible hardware is a common cause of application failures for distributed teams. Most teams depend on containerization tools like Docker to prevent these failures. But is there any way to automate the deployment of Docker images more efficiently and intuitively? In this article, I will show you how simple it is to do this by combining CircleCI and Microsoft Azure to build a CI/CD pipeline for a Dockerized Spring Boot project.

In the earlier days of the internet, organizations faced resource allocation challenges when running applications on physical servers. They initially resorted to running individual applications on separate physical servers, which was costly and not scalable. As the internet continued to evolve, organizations sought more efficient ways to manage their applications and workloads.

Leveraging multiple providers in Kubernetes clusters is an art few have mastered yet. Learn how to create/update Kubeconfig file for the AWS EKS Cluster with Control Plane.

Software development, DevOps practices have become a cornerstone for organizations looking to streamline their processes and deliver high-quality software. While the agility and efficiency DevOps brings to the table are undeniable, it’s essential to remember that security should never be compromised in the pursuit of speed. In fact, it should be an integral part of the entire DevOps lifecycle.

Let’s get right to the point: most Kubernetes workloads are underutilizing CPU and memory, with 49% of containers using less CPU than their defined requests. Although Kubernetes provides users with the ability to define resource guidelines for containers based on CPU and memory needs, it can be difficult to define and maintain these resource requirements for dynamic applications, especially in fast scaling scenarios.

Kubernetes has become the de facto standard for container orchestration, enabling organizations to deploy, scale, and manage containerized applications with ease. However, ensuring the reliability, performance, and security of applications running in a Kubernetes environment requires robust monitoring and observability solutions.

The journey to selecting a container platform is a fun and exciting time in any organization. Container technology abstracts away so many problems from cloud 1.0 VM based approach, and puts engineering teams back in the distributed drivers seat. As containers continue to mature and adoption becomes ubiquitous, there are many lessons to learn and ideas to consider before inevitably choosing Cycle. Let's take a look at Cycle alongside the other types of container platforms.