Software engineering blogs
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[GitHub]
Deployment reliability at GitHub
Last week, we described how we improved the deployment experience for github.com. When we describe deployments at GitHub, the deployment experience is an important part of what it takes to ship applications to production, especially at GitHub's scale, but there is more to it: the actual
[Google Research]
Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning
Posted by Mohammad Babaeizadeh, Research Engineer and Dumitru Erhan, Research Scientist, Google Research Model-free reinforcement learning has been successfully demonstrated across a range of domains, including robotics, control, playing games and autonomous vehicles. These systems learn by
[Mozilla Automation Team]
Making Big Sur and pyenv play nicely
Soon after Big Sur came out, I received my new work laptop. I decided to upgrade to it. Unfortunately, I quickly discovered that the Python set up needed for Sentry required some changes. Since it took me a bit of time to figure it out I decided to document it for anyone trying to solve the same
[Soshace]
Nodejs Lesson 15: Internals of Nodejs: LibUV
Hello everyone, today we are going to talk about the internals of Nodejs. This article will guide how node js works and how it can handle async tasks. What will happen if ten requests come at once? Will it handle one request and discard the other 9? or will it create a queue and serve each one by
[Soshace]
Email Support with Flask
This article is aimed at developers who are interested in implementing email support with Flask. In the following example, I will start with an overview of the Flask-Mail package followed by the code that explains to integrate email support with the Flask Web Application. The post Email Support
Channel name was changed to «Software engineering blogs»
[Kotlin]
1.4.30 Is Released With a New JVM Backend and Language and Multiplatform Features
Kotlin 1.4.30 is now available. This is the last 1.4 incremental release, so we have lots of new experimental features that we plan to make stable in 1.5.0. We would really appreciate it if you would try them and share your feedback with us. We hope you enjoy testing out all these new updates,
[Kotlin]
New Language Features Preview in Kotlin 1.4.30
We’re planning to add new language features in Kotlin 1.5, and you can already try them out in Kotlin 1.4.30: Stabilization of inline value classes Experimental support for JVM records Experimental support for sealed interfaces and other improvements for sealed classes To try these new features,
[Kotlin]
The JVM Backend Is in Beta: Let’s Make It Stable Together
We’ll make the new backend Stable soon, so we need each of you to adopt it, let’s see how to do it. We have been working to implement a new JVM IR backend as part of our ongoing project to rewrite the whole compiler. This new compiler will boost performance both for Kotlin users and
[Docker Engineering]
Donating Docker Distribution to the CNCF
We are happy to announce that Docker has contributed Docker Distribution to the Cloud Native Computing Foundation CNCF. Docker is committed to the Open Source community and open standards for many of our projects, and this move will ensure Docker Distribution has a broad group maintaining what
[Just Eat]
App launching: OperationQueue to the rescue
The challenge: MAD Massive App Delegate Modern apps are complex, the iOS community has come up with a few architectural patterns to manage such complexity. Nonetheless, there is a step in the apps lifecycle where this complexity has not yet been tamed: the app launch. It’s quite common to find
[Google Online Security]
Vulnerability Reward Program: 2020 Year in Review
Posted by Anna Hupa, Senior Strategist, Vulnerability Rewards TeamDespite the challenges of this unprecedented year, our vulnerability researchers have achieved more than ever before, partnering with our Vulnerability Reward Programs VRPs to protect Google’s users by discovering security and
[Google Research]
Machine Learning for Computer Architecture
Posted by Amir Yazdanbakhsh, Research Scientist, Google Research One of the key contributors to recent machine learning ML advancements is the development of custom accelerators, such as Google TPUs and Edge TPUs, which significantly increase available compute power unlocking various
[Soshace]
Nodejs Lesson 16: Internals of Nodejs: Event Loop
This lesson will continue the last lesson where we learned how the LibUV library works internally. In this lesson, we will learn about Event Loop and understand various terms like call stack, callback queue, etc. Let's start. The post Nodejs Lesson 16: Internals of Nodejs: Event Loop appeared
[Facebook]
Open-sourcing Thrift for Haskell
What it is: Thrift is a serialization and remote procedure call RPC framework used for cross-service communication. Most services at Facebook communicate via Thrift because it provides a simple, language-agnostic protocol for communicating with structured data. Thrift can already be used in
[Google Online Security]
Launching OSV - Better vulnerability triage for open source
Posted by Oliver Chang and Kim Lewandowski, Google Security TeamWe are excited to launch OSV Open Source Vulnerabilities, our first step towards improving vulnerability triage for developers and consumers of open source software. The goal of OSV is to provide precise data on where a
[Google Research]
TracIn — A Simple Method to Estimate Training Data Influence
Posted by Frederick Liu and Garima Pruthi, Software Engineers, Google Research The quality of a machine learning ML model’s training data can have a significant impact on its performance. One measure of data quality is the notion of influence, i.e., the degree to which a given training example