The future of IT organizations revolves around seamless integrated experiences, machine learning-based decision-making, predictive analytics, high interactivity, and artificial intelligence. Kubernetes helps organizations achieve these for orchestrating multiple containers among different server clusters. According to a recent survey, 60% organizations are running nearly half of the containerized applications on Kubernetes.
Gartner predicts over 75% organizations worldwide to run their containerized applications in production by 2022. With increasing inclination toward containerization, demand for container management continues to grow. This has further influenced the adoption of Kubernetes, as organizations seek seamless support for managing their containers in production environments.
Key Kubernetes Deployment Strategies
When it comes to Kubernetes deployment, there are some unique ways of releasing applications and choosing the right strategy is imperative. Some of the key strategies that can be followed by organizations include A/B testing, ramped, canary, recreate, and blue/green.
- A/B Testing: This strategy is feasible with regards to feature testing for a subdivision of users. It helps businesses make decisions driven more by statistics rather than deployment strategies. Along with distributing traffic, A/B testing enables organizations to target users precisely on the basis of key parameters, such as user agent. Widely used for testing conversion of features, it helps organizations to roll out the version of applications that bring maximum conversions.
- Ramped: This kind of Kubernetes deployment helps organizations update pods in the rolling format. Here, an additional replica of an application is created along with its new version. After doing so, the replicas of older versions of the application are ebbed and the newer versions are ramped up until a satisfactory number of replicas are created. This helps organizations to gradually release the versions of applications across instances. It provides convenience in the case of stateful applications and manages data rebalancing.
- Canary: Canary helps organizations to do the testing by themselves by routing a subdivision of users to newer functionalities. Canary deployment allows replicas of new versions to be released abreast an old version. After enough duration where errors are eliminated, organizations can scale up the replicas of the new version while discarding the old deployment.
- Recreate: Recreate is the best deployment strategy for the development environment. This strategy is designed to eliminate every running instance and recreate them along with newer application versions. It helps organizations to completely renew the state of the application.
- Blue/Green: In the blue/green deployment, organizations are capable of updating objects that act as load balancers for sending traffic to new versions. This is done only after testing whether the new version of application fulfils said requirements. It further enables organizations to realize instant rollout and avoid versioning issues faced with applications.
While there are many ways for application deployment, rampe