As DevOps engineers, we understand that cloud native stack migration can be a complex process. Preparing your applications for this migration is an essential step to ensure a successful deployment. In the cloud native environment, applications are designed to be highly scalable, and flexible, enabling seamless deployment and management in cloud-based infrastructures.
Here are some tips from the Devolut team!
➡ First, you should consider the type of application being migrated - keep a stateless architecture in mind. Stateless applications do not maintain any state or data between requests, which makes them highly scalable and easy to deploy. To prepare stateless applications for a cloud native stack, we use a container-based approach, such as Docker or Containerd and using container orchestrator like Kubernetes. This involves creating container images of the application, which can be easily deployed and scaled in a cloud environment.
➡ The second step is to address the requirements of stateful applications. Stateful applications, on the other hand, maintain data or state between requests, which makes them more complex to deploy and scale. In preparing stateful applications for a cloud native stack, we use a container orchestration platform that provides features such as StatefulSets or persistent volumes. This enables stateful applications to be deployed and managed in a cloud environment while maintaining their data or state.
➡ The third step is to address the requirements of databases. Databases are critical components of many applications and require special consideration when preparing them for a cloud native stack. At Devolut we mainly use a cloud-native databases, such as Amazon RDS, Google Cloud SQL or Azure SQL Database, which provides features such as automatic scaling and high availability. If you have a need for a specific NoSQL, Time series or other type of database we can help you deploy them in cloud-native approach since the majority of databases can be reliably deployed in kubernetes. Check these few examples:
- Clickhouse in k8s https://github.com/Altinity/clickhouse-operator
- TimescaleDB in k8s https://github.com/timescale/helm-charts
- Cassandra in k8s https://k8ssandra.io/
☑ Finally, preparing applications for a cloud native stack requires a comprehensive and iterative approach that addresses the unique requirements of stateless and stateful applications, databases, and container orchestration platforms like Kubernetes. By following these best practices, our team can ensure that your applications are optimized for a cloud environment and can take advantage of the benefits of cloud computing.
🔵 Are you interested to find out more? Say hi to Devolut team at hello@devolut.io