Common Problems and Solutions: Service instance per host

Common Problems and Solutions: Service instance per host.md

Problem	Explanation	Solution
Resource Utilization	Each host may not be fully utilized, resulting in wasted resources	Use containerization technologies like Docker to deploy multiple service instances on a single host, improving resource utilization
Scalability	Scaling can be more difficult as each service instance is deployed on its own host	Use container orchestration technologies like Kubernetes to manage the deployment and scaling of multiple service instances across multiple hosts, providing better scalability
Fault Tolerance	Fault tolerance can be more challenging as each service instance is deployed on its own host	Implement load balancers and health checks to ensure that traffic is routed to healthy service instances, improving fault tolerance
Cost Allocation and Visibility	Shared resources like containers create challenges with cost allocation and visibility	Allocate a base amount of resources to fixed resource pods, along with burstable pods and best effort pods, to optimize server instance utilization and manage costs effectively
Proper Containerization	Treating containers as virtual machines and running multiple components in a single container reduces the advantages of the container model	Package a single app per container and use separate containers for different components to fully leverage the benefits of containerization
Chatty Communication	Finely grained microservices can lead to a high number of connections and chatty communication between services	Implement an API Gateway to consolidate and manage the communication between the UI and multiple microservices, reducing chattiness and improving performance
Cross-Cutting Concerns	Managing cross-cutting concerns like SSL termination, authentication, authorization, throttling, and logging across multiple microservices can be complex	Implement an API Gateway or use other tools and frameworks to handle cross-cutting concerns centrally, simplifying management and ensuring consistency
Operational Challenges	Deploying and managing multiple microservices introduces additional operational challenges	Use container orchestration platforms like Kubernetes to automate deployment, scaling, and management tasks, reducing operational complexity
Portability	Traditional application deployment methods may lack portability across different environments	Containerization provides portability, allowing applications to be bundled with their dependencies and run consistently across different environments
Resource Management	Efficiently managing CPU and RAM resources for each container can be challenging	Use container orchestration platforms like Kubernetes to allocate specific CPU and RAM resources to each container, ensuring optimal resource management