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Kubernetes Services provide stable endpoints for applications despite changing Pod IPs.

Kubernetes uses Pods, ReplicaSets, and Deployments to manage application availability and updates.

Kubernetes uses a Control Plane to manage Worker Nodes and ensure application reliability.

Kubernetes Ingress allows one entry point for multiple applications, simplifying routing.

Container networking enables communication between services in different containers.

Container health checks ensure your app is running and ready to serve users.

DNS helps microservices find each other, but it has limitations that may require a service registry.

Service Discovery helps microservices locate each other dynamically without fixed IP addresses.

Kafka uses brokers for data handling and KRaft controllers for metadata management.

Microservices are useful when you need independent scaling, deployment, and clear boundaries in software design.

Choosing the right boundaries for microservices is crucial for effective architecture.

Dependency failures can disrupt applications, but resilience patterns can help manage them.

Container data can be lost unless stored in persistent volumes.

CDC with Kafka allows real-time updates from databases to multiple services.

Database per Service ensures each microservice owns its data, reducing dependencies.

Elasticsearch has different node roles that help manage data and scale clusters effectively.

API Gateway, Proxy, and Load Balancer serve different roles in managing requests and traffic in systems.

Kafka Schema Evolution allows safe changes to message structures without breaking existing consumers.

Cascading failures occur when one service's failure impacts others, causing widespread issues.

Microservices can communicate using five key patterns based on their needs.

Availability Zones help prevent downtime by isolating failures across multiple locations.

The RED Method helps monitor microservices using Rate, Errors, and Duration metrics.

Distributed backpressure helps manage the flow of work between services to prevent overload.

Choosing between a shared database and a database per service affects system design significantly.

ZooKeeper uses ephemeral and sequential nodes for managing distributed services effectively.