πŸ“…February 5, 2024
⏱️4 min read
πŸ‘€Rhys Morgan

6Ws: Where – The Deployment and Infrastructure

Plan your deployment strategy and infrastructure requirements. Learn how to choose the right hosting, environments, and deployment approaches for your software project.

🏷️Deployment🏷️Infrastructure🏷️Hosting🏷️Planning
6Ws: Where – The Deployment and Infrastructure

Where – The Hosting Strategy

Why β€œWhere” Shapes the Operational Backbone

While the earlier Ws determine what gets built, β€œWhere” defines how and where it runs. This is the layer where reliability, cost, scale, security, and developer experience come together. A solid hosting strategy is not just about cloud choice or cluster size, it’s about balancing simplicity, resilience, and affordability without compromising on performance.

β€œWhere” ensures your solution is not only functional but operationally viable.


What You Define Here

  • Hosting platform(s) and orchestration strategy

  • Deployment automation and CI/CD pipelines

  • Backup, rollback, and recovery strategies

  • Observability and operational tooling

  • Cost-aware scaling and environment isolation

  • Security and access controls


1. Platform Foundations

The default environment for most solutions we design uses:

  • Kubernetes (K8s): Orchestrated via a managed service such as AKS (Azure Kubernetes Service)

  • GitHub Actions: For CI/CD pipelines

  • Containerisation: All services deployed as Docker containers

  • Helm Charts: For versioned deployments

  • Terraform or Pulumi: To provision cloud infrastructure

Deployment Environments

  • Dev – fast feedback, low cost

  • Staging – mirrors production, includes pre-release load

  • Production – high-availability, with HPA and strict policies


2. CI/CD and Deployment Strategy

We use GitHub Actions to drive all automation:

GitHub Actions CI/CD Pipeline Structure

  • On push to main or PR:

    • Run lint, tests, static analysis

    • Build Docker image

    • Run security scan (e.g., Trivy)

  • On merge to main:

    • Push Docker image to registry

    • Deploy to AKS using Helm

    • Notify on Slack / Teams

Operational Repositories

  • Infra-as-code repo: Terraform modules for infra

  • App repo: Service code + Docker + CI/CD YAMLs

  • Ops repo: Runbooks, alerts, documentation

Rollback

  • Helm allows simple rollback to the last known stable chart

  • All changes gated by versioned values in values.yaml


3. Scalability and Cost Optimisation

Smart Scaling

  • HPA based on CPU, memory, and custom Prometheus metrics

  • K8s node pools:

    • Spot instances used for stateless workloads

    • Dedicated nodes for Redis or stateful services

Redis vs MySQL

  • Cache first: session data, token lookups, config blobs

  • Reduce DB load: Redis memory is cheaper than scaling MySQL read replicas

CDN & Static Assets

  • Cloud CDN for React/Next.js bundles

  • Edge-caching of public images and documentation


4. Backup and Disaster Recovery

Backups

  • MySQL: Scheduled snapshot via cloud provider tools

  • Redis: Snapshot export daily, durable for cache miss restore

  • Persistent volumes: Snapshotted and versioned

Disaster Recovery (DR)

  • DR environments defined in Terraform

  • Automated restore jobs tested quarterly

  • Read-only recovery access for diagnostic teams


5. Network and Access Controls

Core Principles

  • Zero Trust Model within the cluster

  • Namespace and Role-Based Access Control (RBAC) in K8s

  • Firewall/NAT Gateway rules for egress restrictions

  • Service Mesh (Istio) for mTLS and traffic shaping

  • Cloud IAM integration with GitHub OIDC for secure deploy permissions


6. Observability and Operational Health

Tools Used

  • Prometheus + Grafana for metrics

  • Loki / ELK for logs

  • OpenTelemetry for distributed tracing

Monitoring Strategy

  • SLOs defined per critical endpoint

  • Synthetic tests via GitHub Actions or uptime robot

  • Custom alerts piped to Slack / OpsGenie


7. Environment Isolation & Cost Control

Environment Key Features Cost Control Mechanisms
Dev Auto-shutdown nightly Ephemeral DBs + spot instances
Staging Mirrors prod HPA + daily scale-in jobs
Production HA setup Autoscaling + reserved base capacity + alerting on overrun

Spot instances reduce cost for low-priority batch jobs, Redis saves on repetitive query costs, and API request limits protect downstream spend.


8. Summary

The β€œWhere” ensures your brilliant technical design can thrive under real-world pressures. With smart defaults, tested recovery plans, and continuous automation via GitHub Actions, you can:

  • Deploy confidently

  • Scale responsively

  • Recover gracefully

  • Control cost without compromising quality

The best hosting strategy is the one your team can operate, evolve, and afford.

This is where systems stop being theory, and start being truly engineered.

EAS

Rhys Morgan

Enterprise Automation Services specializes in AI, automation, SaaS development, and digital transformation. We help businesses across the UK leverage technology to drive growth and efficiency.

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