Organisations that must release features weekly, handle sudden spikes in demand and keep services available around the clock are moving away from single large applications. Microservices on Kubernetes make that possible, but they bring distributed-systems complexity: network failures, data consistency across services, version drift, security exposure and a flood of logs and metrics. Teams that adopt the tools without the underlying design discipline often end up with a slower, costlier system.

The Microservices Architecture and Kubernetes Deployment Training Course combines architecture and operations in a single, hands-on programme. In the opening days participants learn how to find sensible service boundaries, design contracts, choose between synchronous and event-driven communication and manage data without a shared database. They then containerise services and learn the Kubernetes objects needed to run them reliably, including networking, configuration, storage and scaling.

Later modules cover what happens after the first deployment: automated build and release pipelines, progressive delivery, service mesh traffic control, monitoring, tracing, incident response and security hardening. Every topic is reinforced with laboratory work on a real cluster, and the programme concludes with an integrated project in which teams design, deploy, break and repair a small multi-service platform. Participants return with working manifests, pipeline definitions and an architecture decision record they can adapt to production work.

By the end of the course, participants will be able to:

• Decompose a system into services using domain-driven design and bounded contexts.
• Design service APIs and choose between REST, gRPC and event-driven messaging.
• Manage data ownership and distributed transactions with sagas and the outbox pattern.
• Build resilient services with timeouts, retries, circuit breakers and idempotent operations.
• Containerise services with Docker and deploy them to Kubernetes with deployments, services, ingress, ConfigMaps and secrets.
• Package and release applications with Helm, CI/CD and GitOps, using rolling and canary strategies.
• Monitor, trace and troubleshoot distributed services using Prometheus, Grafana and distributed tracing.
• Secure clusters and workloads with RBAC, network policies and image scanning.

The programme is aimed at technical professionals who build or run distributed systems, including:

• Backend and full-stack developers
• DevOps and platform engineers
• Site reliability engineers
• Cloud and solution architects
• Technical leads and engineering managers
• Software engineers modernising legacy applications
• Systems administrators moving into container platforms
• ICT specialists in banks, telecoms and government agencies

Participants leave with:

• A reference microservices application running on a Kubernetes cluster.
• Reusable Dockerfiles, Kubernetes manifests and Helm charts.
• A CI/CD and GitOps pipeline definition for automated releases.
• A monitoring dashboard and alerting rules for a multi-service system.
• A cluster security checklist and baseline policies.
• An architecture decision record template and a migration roadmap from a monolith.

This is a laboratory-driven programme with a strong engineering focus:

• Daily guided labs on a shared Kubernetes cluster
• Short architecture sessions with whiteboard design exercises
• A running case-study application built up across the ten days
• Failure drills where participants break and repair deployments
• A capstone project reviewed by the facilitator, with feedback on design and operations

Participants who attend all ten days and complete the labs and capstone project receive a Certificate of Completion issued by Vision Reach Global Consultancy and accredited for CPD.