The 3 curves that make a scalable business
Explains the three key growth curves—exponential, linear, and logarithmic—that define a scalable software business and an engineer's role in building long-term assets.
Explains the three key growth curves—exponential, linear, and logarithmic—that define a scalable software business and an engineer's role in building long-term assets.
A developer details their journey through three load testing approaches for a high-traffic election website, focusing on cost-effective scalability.
An analysis of scaling HNSW vector indexing in Redis, covering new contributions for efficient deletions and parallel queries across distributed nodes.
A curated list of 9 top engineering blogs from major tech companies, detailing how they build and scale real-world AI systems.
Analyzes performance and reliability challenges of Kubernetes List API calls at massive scale, explaining high-risk patterns and recent improvements.
Key principles for designing scalable microservices, including Single Responsibility and Independent Deployability, to ensure performance and maintainability.
Compares monolithic, modular monolith, and microservices architectures, detailing their characteristics, advantages, and challenges.
A summary of Dr. Werner Vogels' re:Invent 2024 keynote on system design principles like evolvability, decomposition, and cell-based architectures.
Argues against serverless complexity, advocating for scalable monolithic backend architectures for holistic system design.
Explains how Amazon DynamoDB implements distributed ACID transactions at massive scale without sacrificing performance for existing single-key operations.
A review of the 'System Design Interview' book, analyzing its strengths and weaknesses as a resource for technical interview preparation.
A guide on using k6 and TypeScript to perform load testing on serverless applications to identify scaling limits and AWS service quotas.
Explains how virtual threads in Java combine the simplicity of blocking code with the scalability of reactive programming for better performance.
A detailed case study on debugging a scaling issue in a large-scale Apache Beam and Dask workflow involving hundreds of GPU workers.
Analyzes why the registration pattern in config systems fails to scale, highlighting import-time costs and proposing alternatives.
A critique of the unrealistic expectation that an outsider could quickly fix Twitter's massive, complex legacy codebase.
Explains why async/await in ASP.NET Core improves scalability by freeing worker threads during I/O, not raw performance.
Explains how naming database connections aids in debugging outages and performance issues in shared database environments.
A developer reflects on the challenge of building simple, small-scale projects after years of focusing on large-scale, complex system architecture.
Explores the strategic difference between client-focused consulting businesses and scalable, service-focused product companies in the IT industry.