Learn how to build software that survives server failures and traffic spikes using core resilience patterns like circuit breakers, idempotency, and bulkheads.
Explore the mechanics of cloud auto scaling across major platforms. Learn the differences between AWS, GCP, and Azure scaling policies and how to avoid common pitfalls like cold …
Explore the architectural evolution of the GPU, from rendering 3D graphics to powering modern large language models through parallel processing and CUDA.
Explore the journey of disaster recovery from manual tape backups to active-active cloud architectures and GitOps, shifting DR from a reactive insurance policy to an automated continuous practice.
Explore the architecture of high availability, from active-passive patterns and load balancing to consensus protocols and multi-region failover, to ensure systems stay online when hardware fails.
Trace the journey of the microprocessor from the clock speed wars and the multi-core revolution to the rise of NPUs and chiplet design. Learn how hardware evolution is …
An exploration of the distributed systems engineering behind cloud storage, covering erasure coding, metadata layers, and how giants like Google and Amazon handle massive data redundancy.
An essential overview of cloud networking fundamentals, covering Virtual Private Clouds (VPCs), subnetting, routing tables, and secure connectivity patterns to build scalable, production-ready architectures.
An exploration of the underlying architecture of Linux file systems, explaining how inodes, journaling, and different formats like Ext4, Btrfs, and XFS manage data reliability and performance.
An exploration of how CDNs use edge caching, Anycast routing, and edge compute to reduce latency and prevent origin server crashes during traffic spikes.
Explore how load balancers act as traffic cops for the internet, using GSLB, sticky sessions, and health checks to ensure high availability and low latency for users worldwide.
Explore the evolution of software releases, from the era of manual FTP uploads and 'integration hell' to modern automated continuous deployment and GitOps.