Cloud Deployment Guide

Overview

Moving your workloads to the cloud requires a clear strategy that balances cost, reliability, and security. This guide walks you through the key decisions and best practices for deploying on AWS, Azure, and Google Cloud Platform (GCP).

Choosing the Right Provider

Each major cloud platform has distinct strengths:

• AWS — The broadest service catalog and the largest global infrastructure footprint. Ideal for teams that need maximum flexibility and mature tooling.
• Azure — Deep integration with Microsoft services (Active Directory, Office 365, .NET). Best for enterprises already invested in the Microsoft ecosystem.
• GCP — Industry-leading data analytics and machine-learning services. Excellent for data-heavy applications and Kubernetes-native workloads.

Many organizations adopt a multi-cloud or hybrid approach. We recommend starting with the provider that most closely aligns with your existing toolchain, then expanding as needs evolve.

Infrastructure as Code (IaC)

Manual console clicks don’t scale. Define every resource — VPCs, subnets, load balancers, databases — in version-controlled templates.

• Terraform — Provider-agnostic, large module ecosystem, excellent for multi-cloud.
• AWS CloudFormation / Azure Bicep / GCP Deployment Manager — Native IaC tools with tighter platform integration.
• Pulumi — Write IaC in general-purpose languages (TypeScript, Python, Go).

Regardless of the tool, follow a plan → review → apply workflow and gate changes behind pull requests so every infrastructure change is peer-reviewed.

Networking & Security Foundations

Before deploying any workload, establish a secure networking baseline:

• Create isolated VPCs (or VNets / VPC Networks) per environment (dev, staging, prod).
• Use private subnets for databases and back-end services; expose only load balancers publicly.
• Enable VPC Flow Logs and ship them to a centralized SIEM for audit and anomaly detection.
• Enforce least-privilege IAM policies — no wildcard permissions, no root/owner account usage.
• Rotate secrets automatically using AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager.

Migration Strategies

The “6 Rs” framework helps classify each workload:

• Rehost (Lift & Shift) — Move VMs as-is. Fastest path, lowest initial effort.
• Replatform — Small optimizations (e.g., swapping self-managed MySQL for RDS).
• Refactor — Re-architect for cloud-native patterns (containers, serverless).
• Repurchase — Replace with SaaS (e.g., move from on-prem Exchange to Microsoft 365).
• Retire — Decommission workloads that are no longer needed.
• Retain — Keep on-prem for compliance or latency reasons.

We typically recommend a phased approach: start with low-risk workloads (static sites, dev environments) to build operational confidence, then migrate production systems.

CI/CD & Observability

A production-grade deployment pipeline should include:

• Automated builds triggered on every commit (GitHub Actions, GitLab CI, Azure DevOps).
• Container image scanning (Trivy, Snyk) before pushing to a registry.
• Blue/green or canary deployments to minimize downtime.
• Centralized logging (CloudWatch, Azure Monitor, or a self-hosted ELK / Grafana Loki stack).
• Uptime monitoring and alerting (PagerDuty, Opsgenie, or native cloud alarms).

Cost Management

Cloud bills can spiral without guardrails. Implement these from day one:

• Tag every resource with environment, team, and project labels.
• Set budget alerts at 50%, 80%, and 100% of your monthly target.
• Use Reserved Instances or Savings Plans for predictable workloads.
• Schedule dev/staging environments to shut down outside business hours.
• Review the cost dashboard weekly and right-size over-provisioned resources.

Need Help?

JAIK Solutions offers end-to-end cloud consulting — from architecture design through migration execution and ongoing optimization. Get in touch to discuss your infrastructure goals.