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Use Cases for Kubernetes on MongoDB

Hanan Alsahsan | | September 24, 2020

Containerization offers many benefits for your development team through its flexibility, versatility, and support for a wide range of deployment environments. MongoDB supports Kubernetes, an open-source container orchestration technology that automates many key aspects of working with containerized applications. Container orchestration empowers your organization with several compelling use cases.

Microservices Orchestration

The use case that many people think of when Kubernetes is mentioned is microservices management. It groups your application’s containers together and facilitates managing them. Complex applications benefit the most from this type of infrastructure, and it streamlines many software development tasks, such as updating components and troubleshooting program errors.

Another benefit of using Kubernetes on MongoDB for microservices management is improving the reliability of applications. A component failure is automatically addressed with the right configuration, and each microservice can also access resources based on its current needs.

Deployment Flexibility

Kubernetes is not tied to a particular deployment infrastructure. It’s capable of working with public clouds, private clouds, hybrid clouds, and on-premise environments. Your software development team can evaluate each MongoDB-based application to determine the ideal option. If you end up needing to move to a different environment, migration is straightforward and relatively fast. This flexibility allows your organization to take advantage of new technology and keep up with changing best practices.

Hassle-free Horizontal Scaling

MongoDB offers excellent scaling capabilities, and Kubernetes adds more useful features in this area. You can set up your application to automatically scale up and down based on the container’s CPU usage, or you can manually control it via a command line or a handy UI. When you’re working with very large data sets, being able to seamlessly manage their distribution in a cluster allows you to work with them sustainably.

Automating Changes to Containers

Keeping applications up to date and avoiding unexpected downtime can be a challenge. Kubernetes on MongoDB manages this process through automation. It will deploy your updates and continually monitor the application. If it detects a problem, the change rolls back to avoid outages. This self-healing mechanism saves a lot of time and trouble in the testing process. It also makes iterative updates easier to deploy.

Load Balancing MongoDB Clusters

Kubernetes assigns unique IP addresses and DNS names to Pods, which are grouped containers. This process makes service discovery simple and facilitates load-balancing measures.

 
MongoDB and Kubernetes are a match made in heaven. When you’re working with a MongoDB cluster and you want to take advantage of containerization, this combination is hard to beat. Datavail can help you implement Kubernetes and get more out of your MongoDB applications. Tell us about your project today!

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