The best problem-solving writing in software engineering — databases, performance, security, frontend and distributed systems, in one feed.
To best apply DevSecOps principles to improve the security of your supply chain, you should ask your developers to declare your dependencies in code; and in turn provide your developers with maintained ‘golden’ artifacts and automated downstream actions so they can focus on code.
GitHub’s team delves into answering the question “what are operations roles in the development and operations (DevOps) environments”. From automating the role of QA in DevOps and more for smaller, faster delivery cycles.
In our ongoing “Building GitHub” series, we talk about some of the projects we’re working on to improve how efficiently we build GitHub, as well as increase GitHub’s availability, stability,…
The year 2020 has upended nearly every aspect of society. In a panel for GitHub Satellite back in May, we briefly covered some of the ways in which our social…
Day 18: an answer to an autoencoder question
As part of our efforts to help expand connectivity around the world, Facebook Connectivity has been prototyping SuperCell, a wide-area coverage solution for increasing mobile connectivity in rural communities. Now, after working with telecom industry partners to conduct several trials and data analyses, we’re ready to share what we’ve learned. Rather than produce this solution […]
We cover our approaches to capacity planning, and how we rolled it out across the org and to dozens of teams. We’ll also share how we validated our capacity plans with scalability tests to make sure they work.
Markdown is a powerful markup language that allows editing and formatting in plain text format that can then be parsed and rendered as HTML. It has a declarative syntax that is both powerful and easy to learn for technical and non-technical folks. However, due to the consequential ambiguities in its original specification, there have been a number of distinct [flavors (or custom versions)](https:/
Introduction In November, we experienced two incidents resulting in significant impact and degraded state of availability for issues, pull requests, and GitHub Actions services. November 2 12:00 UTC (lasting 32…
Change is inevitable, and this year, it has been inescapable. We’ve had to find new ways to relate, learn, and balance both work and life at home. One thing has…
How to get help from Kent
Insight into the tools Shopify uses to raise confidence in our ability to serve large sales events, as well as the experimentation and regression framework built to ensure that we’re getting better, week-over-week, at handling load.
Even though the development of a data importer is a complex matter, you don’t want your users’ experience with it to be just as complex or complicated. The second they experience any friction or fault in data onboarding, the chances of them bailing from the software will skyrocket. So, in this post, we’re going to focus on how best to present your data importer to users.
Matthias Ott, comparing how painter Gerhard Richter paints (do stuff, step back, take a look) to what can be the website building process and what can wreck it:
I first blogged about responsive data tables in 2011. When responsive web design was first becoming a thing, there were little hurdles like data tables that
How to think about the 90,000 hours you spend at work
GitHub has the privilege of partnering with thousands of organizations to improve their DevOps practices, from established enterprises transforming the way they work to born-in-the-cloud businesses. We often connect developers,…
Day 17: trying to wrap my head around autoencoders
The simple rules for when to use each.
If you were using computers in the ‘90s and the early 2000s, you probably had the experience of installing a piece of software you downloaded from the internet, only to discover that someone put some nasty into it, and now you’re dragging your computer to IT to beg them to save your data. To remedy this, software developers started “signing” their software in a way that proved both who they were a
From the very beginning of Slack, MySQL was used as the storage engine for all our data. Slack operated MySQL servers in an active-active configuration. This is the story of how we changed our data storage architecture from the active-active clusters over to Vitess — a horizontal scaling system for MySQL. Vitess is the present…
In this episode, we’re talking about Product Design. What does it mean to be a product owner, and how can you learn the skills required? Drew McLellan talks to expert Chris Murphy to find out.
