Software Architecture

Articles about Software Architecture on omid.dev — guides, topics, and notes from the field.

The Engineer’s Dilemma: Building a Startup When You Only Want to Code

Published: January 3, 2026 Reading time: 9 min

You have a startup idea, and you have the skills to build it. As a senior developer, you’ve likely spent years mastering the art of turning requirements into robust, scalable systems. But when you decide to build your own company, you realize that the code is the easy part. The hard part is everything around the code: validation, prioritization, distribution, operations, and leadership. This post is a deep dive into the “Execution Gap.” It’s designed for the developer who can build anything but doesn’t know how to make it a reality in the market. We’re going to move past the clichés and look at the gritty details of startup execution, including the legal and management hurdles that often trip up technical founders. ...

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The Ethics of Legacy Code: Why Rewriting is Often a Mistake

Published: December 27, 2025 Reading time: 5 min

Every developer has been there: you inherit a codebase that looks like a bowl of spaghetti, and your first instinct is to say, “We need to rewrite this.” You see the outdated libraries, the inconsistent naming conventions, and the lack of unit tests, and you think, “I could do this so much better from scratch.” But a rewrite is rarely just a technical decision. It’s a social and ethical one. Legacy code is code that is working. It’s code that is paying the bills, processing the transactions, and serving the users. When we dismiss it as “trash,” we are dismissing the context, the constraints, and the hard work of the engineers who came before us. ...

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Microservices Observability: Lessons from Debugging 1970s Radios

Published: December 26, 2025 Reading time: 5 min

When you open up a 1970s radio, you aren’t met with logs or stack traces. You’re met with voltages, currents, and signals. If the audio is distorted, you don’t “grep” for an error; you trace the signal path from the antenna to the speaker. Modern microservices aren’t that different, though we often forget it. We’ve traded copper wires for HTTP requests and vacuum tubes for Docker containers, but the fundamental challenge of observability remains the same: how do you understand what’s happening inside a complex, distributed system without tearing it apart? ...

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Code Archaeology: Exploring and modernizing legacy systems

Published: July 24, 2024 Reading time: 10 min

In the fast-paced world of software development, we often find ourselves standing on the shoulders of giants – or more accurately, on top of layers upon layers of legacy code. These aging systems, some decades old, continue to power critical infrastructure in industries ranging from finance to healthcare. While they may lack the glamour of cutting-edge technologies, these legacy systems are the bedrock of many organizations, silently processing millions of transactions every day. ...

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Chaos Engineering for Backend and Infrastructure

Published: July 7, 2024 Reading time: 15 min

Backend chaos engineering assumes you control the runtime — VMs, containers, networks, managed databases — which makes fault injection precise. You choose exactly which pod, zone, or dependency to disrupt. This guide covers steady state for microservices, failure domains from compute to messaging, resilience patterns to validate, Chaos Mesh and Toxiproxy walkthroughs, SLO measurement, CI automation, game-day execution, and tooling. If you are new to the discipline, start with Chaos Engineering: Principles and Practice for the experiment loop, blast-radius controls, and game-day concepts. For how the same mindset applies in the browser, see Chaos Engineering for Frontend Applications. ...

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Choosing the Right Tech Stack for Your Project: A Comprehensive Guide

Published: June 20, 2024 Reading time: 10 min

In the rapidly evolving world of software development, choosing the right technology stack for your project is a critical decision. The technology stack, or tech stack, refers to the combination of programming languages, frameworks, libraries, tools, and software used to build and run your application. The right stack can streamline development, improve performance, and ensure scalability, while the wrong choice can lead to technical debt, inefficiencies, and even project failure. ...

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The Perils of Improper Use of Frameworks and Libraries: A Comprehensive Guide for Developers

Published: June 11, 2024 Reading time: 12 min

In the modern software development landscape, frameworks and libraries are indispensable tools that streamline processes, provide pre-built functionality, and facilitate rapid development. However, their improper use can lead to significant problems, ranging from performance bottlenecks to security vulnerabilities. Whether you are a junior developer just starting out, or a seasoned senior developer, understanding how to properly use these tools is crucial for building robust, maintainable, and efficient applications. This blog post will delve into the various aspects of improper use of frameworks and libraries, offering insights and best practices to help you avoid common pitfalls. ...

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Chaos Engineering: Principles and Practice

Published: June 6, 2024 Reading time: 9 min

Distributed systems fail in ways unit tests never simulate. A replica set lags behind, a dependency times out under load, a deployment rolls out to half the cluster before someone notices the new health check is wrong. On the client, a payment API returns an empty body after thirty seconds of latency and checkout silently confirms $0.00. Monitoring tells you something broke after the fact. Load tests tell you how the system behaves when everything is working but busy. Chaos engineering asks a sharper question: when this specific component fails, does the rest of the system absorb it? ...

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Distributed Systems Design: Patterns and Practices

Published: June 5, 2024 Reading time: 7 min

In today’s world of massive-scale applications and services, distributed systems have become the backbone of modern computing. They enable applications to handle vast amounts of data, remain resilient in the face of failures, and deliver high performance across the globe. However, designing these systems is not a trivial task. It involves understanding complex principles and implementing robust patterns to ensure they meet the desired specifications. In this blog post, we’ll dive deeper into the core principles and patterns of distributed system design, covering consistency models, the CAP theorem, fault tolerance, and essential patterns like Saga, Circuit Breaker, and Bulkhead. ...

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Advanced API Design: REST, GraphQL, and gRPC

Published: June 5, 2024 Reading time: 6 min

APIs are the cornerstone of modern applications, enabling seamless communication between services. The design of these APIs plays a crucial role in determining the efficiency, scalability, and overall performance of an application. Three of the most prominent approaches in API design are REST, GraphQL, and gRPC. Each approach has unique strengths and weaknesses, making them suitable for different use cases. In this post, we’ll dive deep into these advanced techniques, discuss best practices, performance considerations, and provide guidance on choosing the right protocol for your specific needs. ...

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