Common Problems and Solutions: Service instance per VM

Common Problems and Solutions: Service instance per VM.md

Problem	Explanation	Solution
Resource Overhead	Deploying each microservice instance as a separate VM can result in a significant resource overhead, increasing the cost of deployment	Analyze resource requirements for each microservice and optimize resource allocation to minimize overhead and cost
Complexity	Managing multiple VMs can be complex and time-consuming, leading to an increased risk of errors and failures	Use automation tools and frameworks to simplify the management of multiple VMs, reducing complexity and minimizing the risk of errors
Deployment Time	Deploying each microservice instance as a separate VM can increase the deployment time, impacting the overall time-to-market	Consider using containerization technologies, such as Docker, to streamline the deployment process and reduce deployment time
Compatibility Issues	Resource requirements may significantly differ from service to service, making it challenging to allocate resources efficiently	Use container orchestration platforms like Kubernetes to manage and scale microservice instances efficiently
Scalability Challenges	Scaling each microservice instance independently requires careful resource allocation and management	Use load balancing techniques to distribute incoming requests across multiple microservice instances, ensuring even workload distribution and improved performance