There are two common scaling strategies that can be used to scale WebLogic Server on Docker: vertical scaling and horizontal scaling.
- Vertical Scaling: In this strategy, you increase the resources of a single container to handle increased load. This can be done by increasing the CPU, memory, or other resources of the container. Vertical scaling is typically used when the workload is CPU-bound or memory-bound, and additional resources can be added to the existing container to handle the increased load.
- Horizontal Scaling: In this strategy, you add more containers to the cluster to handle increased load. This can be done by using Docker Swarm to create additional containers and using load balancing to distribute traffic across the containers. Horizontal scaling is typically used when the workload is network-bound or when the load cannot be handled by a single container.
When choosing a scaling strategy, it is important to consider the specific needs of your application and workload. For example, if your application requires a lot of memory, it may be more effective to use vertical scaling and add more memory to the existing container. On the other hand, if your application is serving a large number of requests and the workload is network-bound, horizontal scaling may be more effective.
In addition to these scaling strategies, you may also consider using Kubernetes to manage WebLogic Server instances on Docker. Kubernetes provides additional features for scaling and managing containers, such as automatic scaling based on resource usage and rolling updates to minimize downtime during updates.