The container technology improved the way organizations maintain their application in production. This leads to mass adoption, and according to Gartner, organizations deploy 85% of their applications using containerized applications by 2025. In 2019, only 35% of the organizations used containerized applications.
With containers making their way into the organization, it is only time we will see many players providing the service. Kubernetes is one of those services that offer popular containerized service. However, the container ecosystem has a long way to go before it matures.
For companies, it is essential to use best practices to maximize the technology. And, that’s why, in this article, we will list the top practices for containers and Kubernetes in production. With a focus on different aspects of the containers and how companies can use the top practices for greater efficiency.
When it comes to containers, organizations face many key challenges. It is important to understand the challenges before discussing the top practices for Containers and Kubernetes.
It is vital for an enterprise to strategic planning and analysis if they want to containers adoption. However, the lack of operational know-how, steep learning curve, and technological immaturity can pose challenges.
To overcome this, organizations need to do proper strategic planning and analysis. Initially, it is important to understand that it requires the right skill set to manage its steep learning curve. That’s why it is crucial to ask the right questions:
Once done, you now need to select the Kubernetes platform. The choice depends on your technical and functional factors. As an organization, you can choose between three patterns:
With the key challenges discussed, it is now time to check out the top practices for containers and Kubernetes.
The developer team needs to focus on the functional aspects for monitoring and have a more detailed look at the service or container level. In traditional settings, developers focus on host-level metrics, including input-output(I/O), CPU utilization, and memory utilization.
To overcome a limited approach, the team can work on the following recommendations:
It is critical to take security seriously before it is too late. In Kubernetes and containers, the entire life cycle of the containerized environment needs to be secured.
The key security and governance practices include:
Storage across containers requires a special approach for consistency and protection. Customers want their data accessible everywhere. In fact, customers do not care about what technology you are using. As an organization, you need to work out the challenges while working with legacy applications. When shifting to container technology, many organizations refactor their applications that means the application may require a new storage platform to ensure performance, agility, and availability.
The best practices to handle storage requirements are:
Just like other application components, networking also needs to be managed correctly. This is because of portability and agility — as without portability, the team will struggle to work from different working environments, including the production. Networking practices also determine how well the agility of the project works. So, the top practices to manage networking for containers and Kubernetes include:
DevOps is at the core of the modern development environment. To ensure optimal efficiency and effectiveness, the Kubernetes distribution should work with DevOps. This way, the DevOps team can work with infrastructure-as-code(IaC), CI/CD pipelines, and other automation tools.
The best recommendations for approaching Kubernetes integration with DevOps include:
Containerization technology is slowly picking up the pace. It is now up to organizations to adopt the best practices and take steps to ensure optimal implementation. This post tries to showcase the best practices for Containers and Kubernetes. So, what do you think about it? Comment below and let us know.