CI/CD Explained
Learn how Continuous Integration and Continuous Delivery automate software builds, testing, and deployments to improve development speed and reliability.
Read Note→Thoughts on backend engineering, distributed systems, databases, messaging systems, cloud-native architectures, and software design. These notes capture concepts, trade-offs, and engineering decisions that shape production-grade software.
Featured
A curated collection of articles covering backend development, distributed systems, software architecture, and production engineering.
Learn how Continuous Integration and Continuous Delivery automate software builds, testing, and deployments to improve development speed and reliability.
Read Note→Learn how Kubernetes automates container deployment, scaling, self-healing, and orchestration for modern cloud-native applications.
Read Note→Learn how Docker packages applications into containers, why containers are different from virtual machines, and how Docker simplifies development and deployment.
Read Note→Learn how the Saga Pattern manages distributed transactions across multiple microservices without relying on traditional two-phase commit protocols.
Read Note→Learn how Command Query Responsibility Segregation (CQRS) separates read and write operations to improve scalability, performance, and maintainability in distributed systems.
Read Note→Learn how API Gateways simplify microservice communication by handling routing, authentication, rate limiting, request aggregation, and security.
Read Note→Learn how load balancers distribute traffic, improve availability, eliminate single points of failure, and enable modern distributed systems to scale efficiently.
Read Note→Learn how database sharding enables horizontal scalability, distributes data across multiple servers, and helps backend systems handle millions of users efficiently.
Read Note→Learn how database indexes improve query performance, how B-Tree indexes work, and the trade-offs every backend engineer should understand before adding an index.
Read Note→Understand how Kafka partitions enable horizontal scalability, message ordering, fault tolerance, and parallel event processing in distributed systems.
Read Note→Learn how Kafka Consumer Groups enable horizontal scalability, fault tolerance, and parallel event processing in modern distributed systems.
Read Note→A practical look at using Redis in a distributed URL shortener to reduce database load, improve redirect latency, handle cache misses, and design an efficient cache-aside strategy.
Read Note→Comparing relational and document databases, their trade-offs, and when to choose PostgreSQL or MongoDB for production systems.
Read Note→Understanding how Redis is used for caching, distributed locking, pub/sub, rate limiting, and session management in modern backend systems.
Read Note→A practical comparison between Kafka and RabbitMQ, covering architecture, scalability, ordering guarantees, throughput, and when each technology should be used.
Read Note→Latest
Recently published engineering notes exploring technologies, patterns, and design decisions from modern backend systems.
Learn how Continuous Integration and Continuous Delivery automate software builds, testing, and deployments to improve development speed and reliability.
Read Note→Learn how Kubernetes automates container deployment, scaling, self-healing, and orchestration for modern cloud-native applications.
Read Note→Learn how Docker packages applications into containers, why containers are different from virtual machines, and how Docker simplifies development and deployment.
Read Note→Learn how the Saga Pattern manages distributed transactions across multiple microservices without relying on traditional two-phase commit protocols.
Read Note→Learn how Command Query Responsibility Segregation (CQRS) separates read and write operations to improve scalability, performance, and maintainability in distributed systems.
Read Note→Learn how API Gateways simplify microservice communication by handling routing, authentication, rate limiting, request aggregation, and security.
Read Note→Learn how load balancers distribute traffic, improve availability, eliminate single points of failure, and enable modern distributed systems to scale efficiently.
Read Note→Learn how database sharding enables horizontal scalability, distributes data across multiple servers, and helps backend systems handle millions of users efficiently.
Read Note→Learn how database indexes improve query performance, how B-Tree indexes work, and the trade-offs every backend engineer should understand before adding an index.
Read Note→Understand how Kafka partitions enable horizontal scalability, message ordering, fault tolerance, and parallel event processing in distributed systems.
Read Note→Learn how Kafka Consumer Groups enable horizontal scalability, fault tolerance, and parallel event processing in modern distributed systems.
Read Note→A practical look at using Redis in a distributed URL shortener to reduce database load, improve redirect latency, handle cache misses, and design an efficient cache-aside strategy.
Read Note→Comparing relational and document databases, their trade-offs, and when to choose PostgreSQL or MongoDB for production systems.
Read Note→Understanding how Redis is used for caching, distributed locking, pub/sub, rate limiting, and session management in modern backend systems.
Read Note→A practical comparison between Kafka and RabbitMQ, covering architecture, scalability, ordering guarantees, throughput, and when each technology should be used.
Read Note→