Operations | Monitoring | ITSM | DevOps | Cloud

Do you have an application built with Django and PostgreSQL that you’d like to run on Kubernetes? If so, you’re in luck! In this tutorial, you’ll learn how to orchestrate your Django application with Kubernetes. Since we’re working with multiple microservices, it can be difficult to ensure all parts work together. This tutorial will demystify all that.

Kubernetes has broken down barriers as the cornerstone of cloud-native application infrastructure in recent years. In addition, cloud vendors offer flexibility, speedy operations, high availability, SLAs (service-level agreement) that guarantee your service availability, and a large catalog of embedded services. But as organizations mature in their Kubernetes journey, monitoring and optimizing costs is the next stage in their cloud-native transformation.

Cloud Service Providers (CSPs) offer an ever-expanding array of instance types, ensuring that for any given workload there exists the perfect hosting option that matches the exact needs of that app or business service. But with this expansion comes an ever-increasing challenge to match the workloads to the offerings – there are many things to consider.

Nowadays, the software development paradigm is based on containerizing applications to deploy on pods to let Kubernetes manage it. Containerized applications can then allow Kubernetes to manage its deployment, replication, high availability, metrics and other capabilities so that the application can focus on doing what it was designed to do. This technology is used for projects and by customers all over the globe.

Containers have long been used in the transportation industry. Cranes pick up containers and shift them onto trucks and ships for transportation. Container technology is handled in a similar vein in the software world. A container is a new and efficient way of deploying applications. A container is a lightweight unit of software that includes application code and all its dependencies such as binary code, libraries, and configuration files for easy deployment across different computing environments.