provisioning-patterns

To choose the right cloud hosting model, evaluate your control needs, scaling behavior, and operational tradeoffs to select between VMs, managed containers, serverless, or managed services. This approach matches workload requirements while minimizing operational burden.

Provisioning a database for high traffic variability involves choosing between managed relational, managed NoSQL, serverless databases, or self-managed options. Applying pragmatic rules of thumb reduces ongoing operational load while addressing scaling requirements.

Comparing VMs vs containers vs serverless depends on your required level of control versus operational burden, scaling behavior, and latency tolerance. Serverless minimizes operations, while VMs maximize control over the underlying infrastructure.

Use VPC endpoints instead of NAT gateways for private networking when you need to minimize public exposure and reduce complexity in service-to-service communication. This topology ensures secure access boundaries for new services or migrations.

This cloud provisioning pattern recommends managed databases by default to apply default-safe rules and reduce ongoing operational load. Self-managed databases are only advised when specific control needs outweigh operational tradeoffs.

You can use these cloud provisioning patterns for legacy application migrations by evaluating workload type, required persistence, and compliance constraints. The patterns guide architecture decisions for hosting, database, and networking topologies during migration.