Dependency graph

Dependency graph is a diagram that maps out the relationships and dependencies between various components in a system. It's like a family tree for your codebase, showing which parts rely on which other parts to function properly.

How to use it in a sentence

  • I was trying to track down a bug in our new feature, but I got lost in the tangled mess of our dependency graph. It's like trying to navigate the Las Vegas strip with a map of Detroit.

  • Our lead architect just announced that we need to completely rework our dependency graph to make our system more modular. Apparently "modular" is the new buzzword that means "twice as much work for the dev team."

If you actually want to learn more...

  • Dependency Management as a First Class Entity - This article dives into the importance of treating dependency management as a critical part of the development process, rather than an afterthought. It's like flossing your teeth - boring, but necessary to avoid painful problems down the road.

  • Visualizing Software Architecture with the C4 Model - If you want to up your dependency graph game, check out the C4 model. It's a way of diagramming your system at different levels of abstraction, from the high-level context down to the nitty-gritty code components. Perfect for when you need to explain your convoluted codebase to a non-technical stakeholder (or just need a way to procrastinate on actually writing code).

  • Tackling Service Dependencies at Scale - LinkedIn's engineering blog shares their approach to managing dependencies in a large-scale microservices architecture. They've built some impressive tools for visualizing and controlling their dependency graph, but honestly, it just makes me glad I don't work there. Imagine being the poor sap in charge of untangling that hairball!

Note: the Developer Dictionary is in Beta. Please direct feedback to skye@statsig.com.

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

Why the best build with us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
We use cookies to ensure you get the best experience on our website.
Privacy Policy