Microservice architecture refers to a structured approach to software development that breaks applications into small, independent services communicating through well defined interfaces. This model increases flexibility, scalability, and resilience by allowing each service to be developed, deployed, and maintained separately. Its significance lies in enabling faster innovation cycles, efficient resource utilization, and improved fault isolation compared to traditional monolithic systems. This training program presents architectural principles, design strategies, deployment models, and governance structures essential for building and managing modern microservice based systems.
Analyze the core principles and structural foundations of microservice architecture.
Gain the required skills to design service boundaries, communication patterns, and data strategies for distributed systems.
Evaluate technology stacks and development frameworks suitable for microservices.
Structure deployment and orchestration models using containerization and CI/CD pipelines.
Assess governance, monitoring, and scaling mechanisms for managing microservice environments.
Software Architects and System Designers.
Backend Developers and DevOps Engineers.
Cloud Infrastructure Specialists.
Technical Leads and Engineering Managers.
IT Professionals involved in system modernization.
Definition and core principles of microservice architecture.
Structural differences between monolithic and microservice models.
Key components and operational characteristics of microservice systems.
Benefits of flexibility, scalability, and fault isolation.
Common institutional challenges in adoption and governance.
Domain driven design as a foundation for defining service boundaries.
Structural approaches to identifying service responsibilities.
API structuring process through RESTful and RPC patterns.
Communication frameworks including REST, gRPC, and messaging systems.
Data handling modelsm including database-per-service, CQRS, and event sourcing.
Selection criteria for technology stacks and frameworks.
Institutional approaches to building services using tools like Spring Boot and Node.js.
Service discovery and client side load balancing mechanisms.
Authentication and authorization structures for distributed systems.
Unit and integration testing methodologies for microservice components.
Containerization models using Docker.
Kubernetes orchestration for scaling and operational efficiency.
CI/CD pipeline structures for automated deployments.
Service mesh frameworks like Istio and Linkerd for traffic management.
Institutional monitoring and logging processes using Prometheus, ELK, and Grafana.
Governance frameworks for distributed service ecosystems.
Security and compliance considerations in microservice environments.
Horizontal and vertical scaling techniques for performance optimization.
Resilience and fault tolerance patterns.
Continuous improvement strategies for evolving architectures.
