Aws Solution Architectv2.1.1

A tech startup needs a cost-effective, scalable backend for their new mobile app. They expect initial traffic of 1,000 users and require user authentication, a REST API, and a database. The architecture must be serverless to minimize operational overhead and keep monthly costs under $100.

A growing Software-as-a-Service company with 50,000 users needs to redesign its architecture for better scalability and reliability. The platform requires containerized microservices, a relational database with read replicas, a CI/CD pipeline, and a multi-AZ deployment to meet a 99.9% SLA.

A traditional e-commerce business wants to migrate its on-premises infrastructure to AWS. The goal is to improve performance during peak sales events, enhance security, and reduce costs. The architecture must support a three-tier web application with auto-scaling, a CDN, and database replication.

A data analytics startup needs to build a serverless event-driven pipeline to process real-time streaming data from IoT devices. The solution must ingest, transform, and store data efficiently, using services like Kinesis, Lambda, and DynamoDB, while optimizing for cost and low latency.

An established company with a monthly AWS spend of $3,000 seeks to reduce costs by 30% without impacting performance. The audit involves analyzing current EC2, RDS, and S3 usage, identifying idle resources, right-sizing instances, and recommending Reserved Instances or Savings Plans.

Companies charge customers a recurring fee for access to software hosted on AWS. This model requires scalable, multi-tenant architectures with robust security, high availability, and predictable operational costs to maintain profitability.

Platforms like e-commerce or ride-sharing apps generate revenue per transaction or commission. They need highly available, low-latency architectures to handle peak loads, with cost optimization focused on pay-per-use services like Lambda and DynamoDB.

Free mobile apps monetize through in-app advertisements. They require serverless backends to handle variable user traffic cost-effectively, with architectures optimized for data collection, real-time analytics, and global content delivery via CDNs.