[Links of the Day] 06/12/2018 : NLP summarisation, RPC protobuf framework, API security best practices

• Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting : I would have mentioned this paper on the sole basis that the authors provide a GitHub repo with all the code used. This should be mandatory for any publication in Computer science. Anyway, the summarization tech described in the paper is pretty cool too. [github]
• twirp : RPC framework with protobuf service definitions. If you don't want to go all gRPC, give this framework a serious look. I would consider twirp over gRPC for the sole reason that it uses the standard GO http server over the custom google one. Seriously google, why did you have to re-implement the HTTP server from your own language ?? 
• API Security Best Practices : documentations providing some good security practice when it comes GitHubhub usage. As well as an excellent leak management document describing a fairly efficient process.

[Links of the Day] 21/04/2017 : HPC 2017 trends, Docker cheat-sheet, Incident response best practice

• Current Trends in High-Performance Computing and Challenges : Jack Dongarra annual HPC review, It's amazing how the chinese progressed. They literally took over the top 500 in less than ten years. And now they dominate using homegrown chips and network fabric. [slides]
• Docker cheatsheet : 'nough said.
• Increment - On-call : New magazine providing article on how to scale companies. Each edition focus on a different topic. For the inaugural issue, they focus on industry best practices around on-call and incident response.

[Links of the Day] 17/04/2017 : Pedis Redis Clone, Serverless framework, Deep learning best practices

• Pedis : Redis Compatible NoSQL datastore using the Seastar Framework. It's interesting to see that on the single thread benchmark Redis and Pedis are on par while it Redis gets smoked on 8 thread benchmark. However on a side note, the author should probably have chosen another name for project. 
• serverless : Serverless Framework with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions [github]
• Best Practices for Applying Deep Learning to Novel Applications : this is pretty much a must read for machine learning expert using deep learning. This report decomposes deep learning project in phases and provides best practice for each phase.

[Links of the Day] 25/08/2016 : Micro-services architecture best practices, Semantic hashing and principles of programming language book

• Best Practices for Building a Microservice Architecture : Article providing an overview of the best practice when shifting complexity from a monolithic systems to a distributed one. Complexity doesn't disappear, it is bounded to the interactions between simple services. While this sound great, the complexity increase with the degree of interactions which can follow a power law. 
• Semantic Hashing : paper describing a method using deep learning algorithms for generating fast hash of documents. This method allow to generate locality sensitive that permit to execute similarity search over a vast library of documents in a time independent of the size of the collection. 
• Principles of Programming Languages :  book providing an introduction to the study of programming languages derived from Johns Hopkins University programming language courses.