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Top 100 Tech Companies to Work For in 2026
The definitive ranking of the best tech companies to work for in 2026 - from compensation and culture to growth opportunities and work-life balance.
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Patrick Wilson•
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Insights on cloud architecture, software development, system design, interview prep, and lessons from building with partners and customers.
A 30-minute checklist to run the morning of a system design interview so you walk in warm instead of cold.
How to show an interviewer you can design systems that survive failure, with concrete failure modes to raise and a script for the conversation.
A practical method for turning a vague design prompt into real numbers for traffic, storage, and bandwidth so you can defend your design choices.
Microsoft retired DP-203 (Azure Data Engineer Associate) on March 31, 2025. Here's what Microsoft actually recommends instead, what DP-700 covers, how it differs from DP-203, and where DP-750 fits.
AZ-500 retired on August 31, 2026. Its replacement, SC-500, keeps most of the Azure security core and adds a large block on securing AI: Entra Agent ID, Purview DSPM, Foundry guardrails and more. Here is what changed and how to study.
AZ-204 retired on July 31, 2026. Its replacement, AI-200, keeps the developer job but rebuilds the outline around containers, vector databases, event-driven pipelines and OpenTelemetry. Here's what was added, what was removed, and who it's for.
Microsoft retired AI-900 on June 30, 2026 and replaced it with AI-901. Same certification, very different exam: the machine learning domain is gone, and more than half the exam is now hands-on Microsoft Foundry work.
A practical guide to picking SQL or NoSQL in a system design interview, what tradeoffs to name out loud, and the mistakes that cost you points.
A plain explanation of consistent hashing - the problem it solves, how the hash ring works, why virtual nodes matter, and how to talk about it in an interview.
Most candidates draw a load balancer box and move on - here is what to actually know about L4 vs L7, algorithms, and health checks so it holds up under follow-up questions.
A practical walkthrough of designing a chat app, covering connections, message delivery, ordering, and storage without leaning on buzzwords.
A walkthrough of the real decisions behind a news feed - fan-out on write vs read, ranking, and caching - and how to reason about them in an interview.
A practical walk-through of how to design a URL shortener in an interview, from clarifying requirements to key generation, storage, and reads.
A plain-English walk through what CAP actually says, why the partition is forced on you, and how to use it in a system design interview without sounding like a flashcard.
Why rate limiting is an easy system design topic to learn well, and what to actually say about it in an interview.
A practical look at what message queues actually solve, when to reach for one, and the tradeoffs that come with adding one to your system.
A practical walkthrough of what database sharding is, the tradeoffs interviewers care about, and how to talk about it without overreaching.
A practical guide to caching as the first thing to reach for in system design, covering where to put a cache, how to keep it fresh, and the failure modes interviewers actually probe.
A practical guide to choosing one language for coding interviews in 2026, why familiarity beats trends, and what to do if you have to switch.
A practical guide to hash maps in coding interviews - when to reach for one, the patterns that show up most, and the mistakes that quietly cost you points.
gitGood has certification practice exams for 13 certs - original scenario-style questions with per-domain scoring, a timed simulator, and a full explanation for every choice. No dumps, ever.
AI system design is now its own interview round. Here are the questions you'll face on LLM inference platforms, RAG pipelines, semantic search, KV caching, batching, and evals - and how these rounds differ from classic system design.
A step-by-step plan for getting unstuck during a coding interview without panicking, freezing, or going silent.
How to think out loud during a coding interview so the interviewer can follow you, score you fairly, and help when you get stuck.
A practical plan for getting better at LeetCode fast by studying patterns, reviewing your mistakes, and quitting problems before they eat your week.
A plain-language guide to Big-O that skips the math and focuses on what you actually need to reason about code in an interview.
A practical guide to telling two pointers and sliding window apart so you pick the right one fast in an interview.
A practical way to recognize graph problems and pick the right traversal so they stop feeling like a different category every time.
A calm, repeatable way to approach dynamic programming problems by finding the recursion first and adding memory second.
A short list of reusable coding patterns that solve most interview and day-to-day problems, with hints on when to reach for each one.