SF Python January at Sentry

Want to learn more about Python and meet other Pythonistas?

Please register: here (https://ti.to/sfpython/jan-14th-sf-python-sentry?source=meetup)

Please support our sponsors Sentry!

👉 Submit your 5, 15 or 25 mins talk proposals here: https://bit.ly/bapyacfp

SCHEDULED TALKS

🔎 Migration from On-Prem Messaging System to The Cloud: What, How and Why - Tom (Ran) Tao
The race to the cloud is on, with enterprises everywhere migrating core infrastructure to stay competitive and cost effective. But when it comes to the messaging systems that power cross-component communications, a simple “lift and shift” isn’t adequate and can be a recipe for failure. The migration path is riddled with complex decisions and design pitfalls unique to every use case. In this session, AWS Cloud Support expert Tom will walk you through the critical stages of rehosting, replatforming, and refactoring, showing you how to unlock maximum performance and reliability for messaging systems. Tom will then move into what are the best practices for Python Celery Client for RabbitMQ and how we can observe Message Broker and its performance through tools like RabbitMQAdmin, a Python Based Toolbox for managing RabbitMQ broker.
Additionally, Tom will compare traditional message brokers with more modernized serverless messaging services on AWS. By the end of the session, you will have a much more comprehensive understanding of the migration process, key questions to ask and some best practices for harnessing the benefits of Cloud, including sample Python code examples interacting with RabbitMQ, SNS and SQS.
Tom is a Cloud Support Engineer at AWS with five years of dedicated experience. He has gained extensive expertise in cloud-based messaging systems by guiding hundreds of customers through the process of migrating their on-premise systems to the cloud and troubleshooting any issues that arise.

🔎 A simple PubSub on AWS (short talk)- James Abel
This talk will cover a simple scale-to-zero serverless PubSub, which is part of the AWSimple library. AWSimple is a thin layer on top of boto3 that makes using AWS simpler for specific (but common) use cases.

🔎 Artificial Neurons: The Small Math That Explains The Big Models - Tyler Suard
Most of today’s AI looks complicated because the explanations are complicated, not because the math is. This talk breaks deep learning down to the small set of basic ideas that keep showing up inside the big models. No Greek-symbol marathons, no PhD vocabulary, just intuition you can actually use. If you’ve run models in PyTorch but want to debug better, tune with confidence, and learn new architectures faster, this is your roadmap from magic to mechanics.
Tyler is a Senior AI Researcher and Developer at a Fortune 500 company, building generative AI agent RAG chatbots.

AGENDA
6:30p Reconnect with friends!
7:00p Opening remarks, sponsors acknowledgement
7:10p Scheduled talks and Q&A + networking break
8:30p Wrap up last talk, more networking

THIS EVENT IS PRODUCED BY
SF Python, a volunteers-run organization aiming to foster the Python Community in the Bay Area