What is the difference between lift-and-shift and cloud-native migration?
Lift-and-shift (Rehost) moves an existing application to the cloud without changing its architecture a server running MySQL on-premises becomes an EC2 instance running MySQL. It is the fastest migration approach but does not take advantage of managed cloud services. The migrated workload has similar operational overhead you still manage OS patching, database maintenance, and scaling. Cloud-native re-architecture redesigns the application to use managed services EC2 MySQL replaced by RDS (managed database no OS patching, automatic backups, Multi-AZ failover), application servers replaced by ECS Fargate containers (no EC2 fleet management), and manual scaling replaced by auto-scaling. Cloud-native re-architecture costs more upfront but produces significantly lower operational overhead and better cost efficiency. ClickMasters recommends lift-and-shift as first step for legacy workloads, followed by incremental re-platforming to managed services.
How much does AWS cost for a typical B2B SaaS product?
A typical B2B SaaS product on AWS (ECS Fargate for application, RDS PostgreSQL Multi-AZ, ElastiCache Redis, S3 + CloudFront, ALB, Route 53) costs approximately $300-800/month for a small product with moderate traffic. A medium-sized SaaS with multiple services, more database storage, and higher traffic costs $1,000-3,000/month. A large SaaS with multiple environments, data warehouse (Snowflake or Redshift), CDN at scale, and multiple microservices costs $5,000-20,000+/month. Most common cost drivers: oversized RDS instances (often 30-40% of a SaaS AWS bill right-sizing is highest-ROI FinOps action), NAT Gateway data transfer (egress charges architecture changes can reduce significantly), and unused development environments running 24/7 instead of scheduled shutdown.
AWS vs GCP vs Azure which cloud provider should I choose?
AWS is the default choice for most B2B companies: largest service catalogue, most mature ecosystem, most available engineers and tooling, most partner integrations (Fivetran, Datadog, Snowflake, Terraform all treat AWS as the primary platform). GCP is better when: your team is heavily invested in Google Workspace, you are building on BigQuery (native, best performance), you need Kubernetes at scale (GKE is the most mature managed Kubernetes Google invented Kubernetes), or you require Vertex AI (Google's ML platform with first-party Gemini and AutoML integration). Azure is better when: your organisation is Microsoft-first (Active Directory, Office 365, Windows-heavy Azure AD integration is native), you have existing Enterprise Agreement pricing, or your primary compliance framework requires Azure Government or Azure sovereign cloud regions. ClickMasters defaults to AWS, builds on GCP for data-heavy GCP-native teams, and builds on Azure for Microsoft-centric enterprise clients.
What is FinOps and how does it reduce cloud costs?
FinOps (Financial Operations for cloud) is the practice of bringing financial accountability to cloud spending making cloud cost visible, optimisable, and predictable. The core insight: cloud costs are variable and controllable in real time, unlike fixed infrastructure costs. FinOps practices that consistently reduce cloud spend: right-sizing (match instance size to actual CPU/memory utilisation AWS Compute Optimiser identifies 20-40% waste in typical accounts), commitment discounts (Reserved Instances and Savings Plans offer 30-60% off on-demand pricing for predictable workloads ROI is immediate and certain for stable workloads), schedule-based scaling (shut down non-production environments on nights and weekends typically 70% cost reduction for dev/staging), Spot Instances for batch processing (60-80% cheaper than on-demand), and cost allocation tags (attribute every dollar of cloud spend to a team, service, or environment accountability drives optimisation). ClickMasters implements these in a FinOps engagement, typically reducing AWS bills by 30-50% within 60 days.
