Desa aikmual

At Meta, Bento is our internal Jupyter notebooks platform that is leveraged by many internal users. Notebooks are also being used widely for creating reports and workflows (for example, performing data ETL) that need to be repeated at certain intervals. Users with such notebooks would have to remember to manually run their notebooks at the [...] Read More... The post Scheduling Jupyter Notebooks at Meta appeared first on Engineering at Meta. http://dlvr.it/SvLZcq

[...] Read More... The post Code Llama: Meta’s state-of-the-art LLM for coding appeared first on Engineering at Meta. http://dlvr.it/Sv71Yx

Instagram has introduced Immortal Objects – PEP-683 – to Python. Now, objects can bypass reference count checks and live throughout the entire execution of the runtime, unlocking exciting avenues for true parallelism. At Meta, we use Python (Django) for our frontend server within Instagram. To handle parallelism, we rely on a multi-process architecture along with [...] Read More... The post Introducing Immortal Objects for Python appeared first on Engineering at Meta. http://dlvr.it/SthLjW

[...] Read More... The post Meta Connect 2023: September 27 – 28 appeared first on Engineering at Meta. http://dlvr.it/StdxNz

Explore is one of the largest recommendation systems on Instagram. We leverage machine learning to make sure people are always seeing content that is the most interesting and relevant to them. Using more advanced machine learning models, like Two Towers neural networks, we’ve been able to make the Explore recommendation system even more scalable and [...] Read More... The post Scaling the Instagram Explore recommendations system appeared first on Engineering at Meta. http://dlvr.it/StQZhS

Meta is developing new privacy-enhancing technologies (PETs) to innovate and solve problems with less data. These technologies enable teams to build and launch privacy-enhanced products in a way that’s verifiable and safeguards user data. Using state-of-the-art cryptographic techniques, we have developed Private Data Lookup (PDL) that allows users to privately query a server-side data set. [...] Read More... The post How Meta is improving password security and preserving privacy appeared first on Engineering at Meta. http://dlvr.it/StN2n1

Fixit is dead! Long live Fixit 2 – the latest version of our open-source auto-fixing linter. Fixit 2 allows developers to efficiently build custom lint rules and perform auto-fixes for their codebases. Fixit 2 is available today on PyPI. Python is one of the most popular languages in use at Meta. Meta’s production engineers (PEs) [...] Read More... The post Fixit 2: Meta’s next-generation auto-fixing linter appeared first on Engineering at Meta. http://dlvr.it/StKV0Y

Short-lived certificates (SLCs) are part of our latest efforts to further secure our Transport Layer Security (TLS) private keys on our edge networks. SLCs have a very short exposure compared to traditional certificates and lower the chances of a compromised private key being abused. Implementing SLCs has required us to address tradeoffs between operability and [...] Read More... The post Using short-lived certificates to protect TLS secrets appeared first on Engineering at Meta. http://dlvr.it/StK5X7