Agile Development Practices and Cloud Native Technology Stack Overview
This article explains the principles of agile development, outlines typical agile workflows and case studies, and then provides a comprehensive overview of the cloud native technology stack, including application definition, orchestration, runtime, provisioning, platform, observability, and serverless components, illustrating how modern IT teams can transition from traditional practices.
1. Agile Development
Agile development is described more as a set of guiding principles than a rigid methodology. It emphasizes iterative development, incremental delivery, continuous integration, and self‑managed teams that involve users throughout the process.
Iterative development: The work is divided into short, fixed‑length iterations (typically 1‑6 weeks).
Incremental delivery: Each iteration ends with a usable increment that provides immediate value.
User‑driven feedback: Users participate continuously, allowing dynamic requirement changes.
Continuous integration: New features or changes are integrated frequently, sometimes daily.
Self‑managed teams: Teams are autonomous, collaborative, and people‑centric.
2. Typical Agile Workflow Example
Requirement review (customer, product, UI, development, testing)
Story breakdown (product, UI, development)
Task allocation (leader, developers)
Design documentation (database, API, solution)
Solution review (all participants)
Task splitting in ZenTao (developers)
Development with daily project and work reports
End‑to‑end (API) testing
Performance and integration testing (JMeter)
Demo and final review
3. Cloud Native Technology Stack
The cloud native stack is organized into several major layers:
Application Definition & Deployment (including provisioning, observability, serverless)
Orchestration & Management (container orchestration, service discovery, RPC, service proxy, API gateway, service mesh)
Runtime (container runtime, storage, networking – CSI, CRI, CNI)
Provisioning (automation, container registry, security, key management)
Platform (various vendor solutions)
Observability & Analysis (monitoring, logging, tracing, chaos engineering)
Serverless (tools, security, frameworks, hosted platforms, installable platforms)
Key technologies mentioned include databases, streaming and messaging systems, image building, CI/CD pipelines, container orchestration (Kubernetes), service mesh, cloud native storage, and serverless platforms.
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