GitHub - logancollins/Mocha: Objective-C / JavaScript Bridge and Scripting EnvironmentYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Eventual Consistencyまでの一貫性図解大全 - Qiita
TL;DR; Eventual Consistencyとか言いながらどうせもっとまともな一貫性実装してることはよくあるんだからみんな適切な名前を使おうぜ。 なぜこの記事を書くのか NoSQLの文脈においてスケーラビリティとのトレードオフでEventual Consistencyという用語は結構な頻度で出てくる。 ACIDに対抗してBASE(Basicaly Avalilable, Soft state, Eventual consistency)なんて言葉が出てきたり、CAP定理の中のAとPだと言ってみたり、分散システムのスケーラビリティを高めるために人類は一貫性を諦めることに余念がない。 その一方で、諦められた一貫性に関しては雑な分類論で語られる事が多く実はもっと適切な言葉があるのに「Eventual Consistencyです」なんて言われる事が良くある。そこで、この記事では過去に並行
Building a Scalable Design System with Sketch - Speaker Deck
Design Systems have reached peak popularity. It seems that every design team has either built one, is building one, or wants to build one. With the release of the incredible Nested Symbols feature followed by Sketch Libraries just a few months ago, Sketch has emerged as an essential part of the Design System workflow. In this talk we will be covering: • Best of breed Design Systems out in the wild
Rules of Machine Learning: | Google for Developers
Rules of Machine Learning: Stay organized with collections Save and categorize content based on your preferences. Best Practices for ML Engineering Martin Zinkevich This document is intended to help those with a basic knowledge of machine learning get the benefit of Google's best practices in machine learning. It presents a style for machine learning, similar to the Google C++ Style Guide and othe
Meet Michelangelo: Uber’s Machine Learning Platform
Data / MLMeet Michelangelo: Uber’s Machine Learning PlatformSeptember 5, 2017 / Global Uber Engineering is committed to developing technologies that create seamless, impactful experiences for our customers. We are increasingly investing in artificial intelligence (AI) and machine learning (ML) to fulfill this vision. At Uber, our contribution to this space is Michelangelo, an internal ML-as-a-serv
Open-sourcing Sonar, a new extensible debugging tool – Facebook Code
One challenge that comes from having many engineers working collaboratively on larger apps is that typically no single person knows how every module works. This segmentation of knowledge and expertise can make it difficult to develop new features, investigate bugs, or optimize performance. To help engineers at Facebook manage this complexity, we built Sonar, an extensible cross-platform debugging
Benchmarking Ruby's Heap: malloc, tcmalloc, jemalloc — Engineering Blog
Last week's post talked about different kinds of Ruby objects: some are contained in the 64-bit reference directly, some use up a 40-byte "Slot", and some use a Slot and a chunk of heap. Let's talk about that last set of objects. "The Heap" isn't specifically a Ruby concept. It's a standard part of Unix processes. Other than garbage collection, Ruby doesn't do much that's special or unusual with t
Tips for High Availability
By Andy Glover and Katharina Probst Over the past four years, Netflix has gone from less than 50 Million subscribers to 125 Million subscribers. While this kind of growth has caused us no shortage of scaling challenges, we actually managed to improve the overall availability of our service in that time frame. Along the way, we have learned a lot and now have a much better understanding of what it
RabbitMQ is more than a Sidekiq replacement | Stanko K.R.
A rabbit dressed up as the karate kid - a cross of RabbitMQ and Sidekiq logos I've had gripes with Sidekiq because of which I switched to RabbitMQ. Here are my thoughts and experiences after a year of using it in production. I got inspired to write this post by the overwhelming response I received for my talk at the local Ruby user group.Why do we need Sidekiq or RabbitMQ?"Background job" librarie
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Distributed Transactions: The Icebergs of Microservices • Evolvable Me
The Three Habits of Highly Effective Product People
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seldon-core/readme.md at master · SeldonIO/seldon-core · GitHub
GitHub - ZJULearning/nsg: Navigating Spreading-out Graph For Approximate Nearest Neighbor Search
GitHub - spotify/annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
GitHub - facebookresearch/pysparnn: Approximate Nearest Neighbor Search for Sparse Data in Python!
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GitHub - kubeguard/guard: 🔑 Kubernetes Authentication & Authorization WebHook Server
