Category: Deep Dives

Deep Dives is the long-form technical analysis category on orthogonal.info, where complex topics get the thorough treatment they deserve. Unlike quick-start tutorials or surface-level overviews, every article in this category commits to explaining the why behind the how — comparing architectures, benchmarking alternatives, and documenting the decision-making process that experienced engineers actually use. If you want depth over breadth, this is where you start.

With 15 carefully researched posts, Deep Dives represents the most intensive content on the site — articles that often take weeks to research and write, because getting the details right matters.

Key Topics Covered

Architecture comparisons — Side-by-side evaluations of competing technologies (e.g., container runtimes, databases, message brokers) with benchmarks, trade-off analysis, and real-world selection criteria.
Technology evaluations — Thorough assessments of tools and platforms like Kubernetes distributions, observability stacks, CI/CD platforms, and storage engines, going beyond marketing claims to test actual behavior.
Hands-on tutorials with context — Step-by-step guides that first explain the problem domain, then walk through the implementation, and finally discuss limitations, alternatives, and production considerations.
Protocol and specification deep dives — Detailed explorations of protocols like OAuth 2.0/OIDC, mTLS, gRPC, and WebSocket, including packet-level analysis and implementation nuances that documentation glosses over.
Performance analysis and benchmarking — Methodology-driven performance testing with reproducible setups, statistical rigor, and honest reporting of results — including when the “winner” depends on your workload.
System design case studies — End-to-end walkthroughs of system design decisions for real projects, covering data flow, failure modes, scaling considerations, and the reasoning behind each architectural choice.

Who This Content Is For
Deep Dives is written for senior engineers, technical leads, architects, and curious developers who are not satisfied with “just use X” recommendations. If you are evaluating technology for a production system, preparing for a system design discussion, or simply want to understand how things work at a deeper level, this category provides the analysis you need. Readers should be comfortable with at least one programming language and have some experience with distributed systems concepts.

What You Will Learn
By reading the Deep Dives articles, you will develop the ability to evaluate technology choices with engineering rigor rather than relying on hype or popularity. You will learn structured approaches to comparing tools, understand the hidden trade-offs that only surface in production, and build mental models for complex systems. Each article provides enough context for you to form your own opinions, not just adopt the author’s conclusions. Expect detailed diagrams, reproducible benchmarks, and references to primary sources.

Explore the posts below for analysis that goes beyond the surface.