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DevOps Insights with Dennis: Efficient DevOps - GitLab CI/CD for Docker Builds and ArgoCD Deployments on Kubernetes.

Linux is a powerful and versatile operating system that’s widely recognized for its robustness, security, and open-source nature. It is a Unix-like OS, which means it shares many characteristics with the original Unix system developed in the 1970s. Linux has become a preferred choice in various computing environments, from personal computers and servers to embedded systems and supercomputers.

Continuous delivery (CD) is an application development practice that involves automatically preparing code changes for release to a production environment. Combined with continuous integration (CI), continuous delivery is a key aspect of modern software development. Together, these two practices are known as CI/CD. Properly implemented CI enables developers to deploy any code change to testing and production environments late in the software development lifecycle (SDLC).

Monitoring your Heroku stack helps you understand the performance of your application and infrastructure. You can identify bottlenecks, slow-performing queries, or resource-intensive processes and optimize them. Monitoring also allows you to detect issues or anomalies in real-time. By setting up alerts based on predefined thresholds, you can be notified as soon as something goes wrong, enabling you to address the issue before it affects users.

We're thrilled to announce the launch of our latest feature: Deployments! This game-changing addition is set to redefine how our users deploy and manage their applications, ensuring zero downtime and enhancing productivity.

Having decided to embrace the opportunities of the cloud, be it a full migration, or developing a hybrid infrastructure, one of the first questions a business faces is how to transfer all its data into the cloud. This question will evolve rapidly, as the business realises that not only must it continually transfer new data to the cloud, but that the amount of data is going to grow massively.