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Get Summaries of Big Tech Engineering Blog Posts on Frontend, Backend, Machine Learning, Data Engineering and more!
An introduction to Apache Cassandra and issues Uber ran into when scaling. Plus, API versioning practices at LinkedIn, challenging algorithms to try and more.
Plus, Tips on Negotiating Compensation for Software Engineers from a Principal Engineer at Amazon
We'll talk about what a service mesh is, what purpose it serves and why Netflix added one. Plus, strategies you can use to achieve your goals.
Common microservice failures at DoorDash and how they mitigate them. Plus, nine ways to shoot yourself in the foot with Postgres.
Plus, what makes a great manager of software engineers, how shopify uses pair programming for mentorship, actionable tips on improving speed and more.
Plus, how Meta integrated Raft with MySQL, lessons learned at Slack while building on AWS GovCloud and How Nike's bot detection works
An awesome blog post on dissecting Apple's M1 GPU. Plus a System Design Interview question and a solution to yesterday's interview question on building a Queue with Stacks.
OpenAI publishes a blog post on an amazing model that can generate images given text. Roblox raises a ton of money and plans to go public. Plus, an answer to our last Google Coding Interview question!
Google and Snap plan on investing $100 million dollars in an Indian startup. AMD overtakes Intel in a certain market for the first time in over 15 years.
Python Solutions and Explanations for CTCI. Plus, a cool blog post on the fundamentals of Rust. A beginner coding interview question this time and our solution to the last question on palindromes.
DeepMind released a preprint paper with SOTA results in the video question-answering space. Bloomberg acquires a YCombinator company. An awesome Git cheat sheet and a thread by an Ex-Googler on AWS.
Zoom is entering new markets. A large investing firm makes a big bet on mobile advertising. Using Machine Learning for arranging Biology studies. Plus an answer to our Facebook Interview question.
We talk about using ML to curate Biology Studies, Self-driving cars and Ripple! We also give a detailed solution to our last Google Interview Question.
A tech dive on distributed computing and the problems that arise from using a network of computers. We also talk about some of the distributed systems models used to design algorithms.
Bitcoin reaches a new all time high, Google unveils a BERT model pre-trained on 17 Indian languages and CoachHub raises a lot of money.
Regulators crack down on one of the biggest fintech startups. Amazon makes a bet on PWAs over native apps. Plus a solution to yesterday's google interview question.
Amazon wants to train 30 million people to work on cloud computing. Tensorflow 2.4 is here! Ryan Selkis wrote an amazing report on trends in the crypto industry in 2020 and a google interview question
Boston Dynamics has been purchased by an unexpected buyer. Amazon invests in a startup. The solution to yesterday's Dynamic Programming Interview question.