Introduction Welcome to the first post in our series exploring the pros and cons of deploying microservices into a Kubernetes cloud.

Objective In this series, we aim to deploy a microservice architecture where all services are containerized using Docker and deployed to a managed Kubernetes cloud.

Key Features:

• Auto-Scaling: Kubernetes’ auto-scaling features allow us to manage varying loads effectively by automatically adjusting the number of pods based on CPU/memory utilization or custom metrics.
• CI/CD Integration: A robust CI/CD process will be integrated into our deployment pipeline, * automating the build, test, and deployment processes for faster and more reliable releases.
• Monitoring and Logging: We will leverage Prometheus, Grafana, and Loki for monitoring and logging our services, enabling swift detection and diagnosis of issues.
• Configuration Management: ConfigMaps and Secrets will be used to manage configuration data separately from application code.