Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server… | Continue reading
By dismissing the Python garbage collection (GC) mechanism, which reclaims memory by collecting and freeing unused data, Instagram can run… | Continue reading
With more than 25 photos and 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits… | Continue reading
Introduction | Continue reading
We recently shipped Data Saver Mode, a new feature on Instagram for Android that helps the app consume less mobile data. In this post… | Continue reading
We recently shipped Data Saver Mode, a new feature on Instagram for Android that helps the app consume less mobile data. In this post… | Continue reading
By dismissing the Python garbage collection (GC) mechanism, which reclaims memory by collecting and freeing unused data, Instagram can run… | Continue reading
This post was originally published on Facebook AI blog: https://ai.facebook.com/blog/powered-by-ai-instagrams-explore-recommender-system/. | Continue reading
Shupin Mao is a senior software engineer at Facebook. During her last four years at the company, Shupin helped several teams and gained… | Continue reading
Covers approaches to how we improved performance by reducing JavaScript size & making that Javascript execute more efficiently. | Continue reading
Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server… | Continue reading
In recent years instagram.com has seen a lot of changes — we’ve launched stories, filters, creation tools, notifications, and direct… | Continue reading
How we implemented dark mode at Instagram | Continue reading
Tamar is the Head of Analytics at Instagram. She supports a team of data scientists and data engineers responsible for analytics, data… | Continue reading
And we’re back! As we mentioned in the first part of our blog post series, Instagram Server is a Python monolith with several million… | Continue reading
A series outlining how we improved the page load times of instagram.com by 50%. This entry covers early flushing HTML and pushing data. | Continue reading
How Instagram develops and uses linting and codemod tools based on LibCST to maintain a modern codebase at scale. | Continue reading
In recent years instagram.com has seen a lot of changes — we’ve launched stories, filters, creation tools, notifications, and direct… | Continue reading
At Instagram, process and memory management is a frequent point of consideration in building large-scale, distributed, fault-tolerant… | Continue reading
Instagram plays a critical part in forming meaningful communities where people can connect with each other and share what matters most to… | Continue reading
In June 2013 Instagram introduced video uploads. At the time the system was simple. To ingest video and make it available for playback, we… | Continue reading
Over the last few years, Instagram Direct has grown to be a core part of sharing content and experiences with your close friends on… | Continue reading
At Instagram we have many Machine Learning teams. While they all work on different parts of the product, they all directly contribute to… | Continue reading
Story of a Service | Continue reading
Instagram machine learning has grown a lot since we announced Feed ranking back in 2016. | Continue reading
Instagram employs Python in one of the world’s largest settings, using it to implement the “business logic” needed to serve 800 million… | Continue reading
At Instagram and Facebook, we’ve seen how adopting React Native in product development has allowed our engineers to move and iterate… | Continue reading