Hello Reader, In this edition, we will go over three important architectural patterns for interviews, as well as production projects. I bet "pen and paper" architects and influencers don't talk about the third pattern coz that one you only know if you implemented actual projects ;) Microservice This is the most common architectural pattern. You use microservices every day without knowing. Checking bank balances, reserving dinner at a restaurant, posting a movie review, buying something from Amazon, etc., all done via microservice. There are many ways to implement a microservice, but the most common pattern is the one below, with Application Load Balancer (ALB)
Event-Driven Architecture An event-driven architecture decouples the producer and processor. In this example producer (human) invokes an API, and send information in JSON payload. API Gateway puts it into an event store (SQS), and the processor (Lambda) picks it up and processes it. Note that, the API gateway and Lambda can scale (and managed/deployed) independently Benefits of an event-driven architecture (remember these for interviews)
Batch Job This one is something that people don't talk about much. But if you have worked on any real-world production project, you know that batch plays a critical role. Like microservices, you also utilize this every day. Your scheduled mortgage loan payment, credit card payment, stock transactions settlement, bulk discounts generation, etc.
Guys and girls - if you get any of these questions in your interview, knock it out of the park 🎯 If you have found this newsletter helpful, and want to support me 🙏: Checkout my bestselling courses on AWS, System Design, Kubernetes, DevOps, and more: Max discounted links AWS SA Bootcamp with Live Classes, Mock Interviews, Hands-On, Resume Improvement and more: https://www.sabootcamp.com/
Keep learning and keep rocking 🚀, Raj |
Free Cloud Interview Guide to crush your next interview. Plus, real-world answers for cloud interviews, and system design from a top Solutions Architect at AWS.
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