Availability
Distribute application tasks across Availability Zones. Assess database Multi-AZ options and test health-check and failover behaviour.
A reference pattern for business websites, customer portals and online commerce that need clear network boundaries, scalable application capacity and observable operations.
You need to separate public delivery from application and database tiers, scale for changing demand and make deployments easier to operate.
This pattern illustrates component relationships. Region availability, data location, application constraints and the final service choices are assessed before implementation.
Architecture is a set of trade-offs. These are the questions to resolve before implementation.
Distribute application tasks across Availability Zones. Assess database Multi-AZ options and test health-check and failover behaviour.
Keep database access private, scope S3 permissions and encryption, and align retention to the business requirement.
Build and scan images, deploy through an approved pipeline and use application health checks before accepting a release.
Estimate a baseline, peak demand, data transfer and service charges. Scale the pattern to the expected traffic rather than assuming every component is required.
The acceptance plan should check the behaviour of the full workload, alongside individual AWS resources.
A workload-specific architecture, implementation plan, cost assumptions, operating runbooks and a record of agreed validation checks.
Tell us about your workload, current challenges and timing. We’ll use that context to discuss a suitable scope.
Email Sunrisesupport@ai-sunrise.cloud