Podcast
Questions and Answers
Which of the following is NOT a critical performance metric to monitor for the application tier?
Which of the following is NOT a critical performance metric to monitor for the application tier?
What are some strategies for scaling the database tier in the modern serverless stack?
What are some strategies for scaling the database tier in the modern serverless stack?
What should be in place before performance issues arise in a modern startup stack?
What should be in place before performance issues arise in a modern startup stack?
Study Notes
Strategies for Scaling the Modern Startup Stack
- The modern application stack for early-stage startups includes a frontend hosting platform, a serverless API backend, and a serverless relational database tier.
- As traffic scales, the modern stack will eventually reach its limits and require a new approach.
- Hyper-growth startups can gradually migrate to a microservice architecture by leveraging cloud native strategies.
- Before performance issues arise, a robust operational monitoring and observability system should be in place to detect when the application starts to fall apart due to rising traffic load.
- There are many observability solutions in the market, and it is advised to buy a solution instead of building one.
- Critical performance metrics to monitor for the database tier include read and write request rate, query response time, database connections, lock contention, and slow queries.
- Critical performance metrics to monitor for the application tier include incoming request rate, response time, error rate, and network throughput.
- The database tier is likely the first place that could break as traffic grows and could overwhelm the serverless relational database.
- Strategies for scaling the database tier in the modern serverless stack remain the same as in the early days and include read replicas, sharding, and caching.
- Read replicas involve adding a series of read replicas to the primary database to handle reads.
- Sharding involves splitting the database into smaller, more manageable parts.
- Caching involves storing frequently accessed data in a cache to reduce the number of requests to the database.
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Description
Are you familiar with the modern startup stack and the strategies for scaling it? This quiz will test your knowledge of frontend hosting platforms, serverless API backends, and serverless relational databases. You'll also learn about critical performance metrics to monitor for both the database and application tiers and strategies for scaling the database tier as traffic grows. Test your understanding of these essential concepts and see how well you know the strategies for scaling the modern startup stack.