In which cases is it advisable to use Kubernetes, and in which cases is it better to use Docker Compose?

Kubernetes is advisable to use in the following cases:

• Fault tolerance and high availability: When automatic recovery of containers is required in case of node or application failures, as well as uninterrupted service operation even under significant loads.
• Scaling: For automatic horizontal scaling of applications in response to changes in incoming traffic or load.
• Managing large clusters: When orchestration and management of hundreds or thousands of containers across multiple servers are needed.
• Complex microservices architectures: To manage a large number of interacting microservices, including service discovery, load balancing, and communication management.
• Resource management: When efficient distribution of computing resources (CPU, memory) among different applications and their isolation is required.
• Automated deployments and updates: To perform complex deployment strategies (e.g., canary, blue/green) with the possibility of automatic rollback.
• State management: For working with stateful applications that require persistent data storage (Persistent Volumes).
• Different environments (Dev, Staging, Prod): When it is necessary to uniformly manage application deployment across different environments.

Docker Compose is better suited for the following cases:

• Development and testing: For local deployment and running multi-container applications on a developer's machine or in a testing environment.
• Simple applications: For orchestrating several containers that make up a relatively simple application with few dependencies.
• Small projects: When the infrastructure and the number of services are small, and there is no need for complex automation of scaling and high availability at the cluster level.
• Getting started with containerization: As a simpler tool for starting with containerization and orchestration.
• No need for a cluster: When the application runs on a single machine and does not require a distributed architecture with management of multiple nodes.

Thus, Kubernetes is suitable for production environments and complex, scalable systems, while Docker Compose is suitable for local development, testing, and small projects.