MLOps Community
timezone
+00:00 GMT
Sign in or Join the community to continue

The Rise of Serverless Databases

Posted Feb 23, 2023 | Views 428
# Serverless Databases
# Cloud
# Infrastructure Patterns
# Opinionated Databases
Share
SPEAKERS
Alex DeBrie
Alex DeBrie
Alex DeBrie
Founder @ DeBrie Advisory

Alex is an AWS Data Hero and self-employed AWS consultant and trainer. He is the author of The DynamoDB Book, a comprehensive guide to data modeling with DynamoDB. Previously, he worked for Stedi and for Serverless, Inc., creators of the Serverless Framework. He loves being involved in the AWS & serverless community, and he lives in Omaha, NE with his family.

+ Read More

Alex is an AWS Data Hero and self-employed AWS consultant and trainer. He is the author of The DynamoDB Book, a comprehensive guide to data modeling with DynamoDB. Previously, he worked for Stedi and for Serverless, Inc., creators of the Serverless Framework. He loves being involved in the AWS & serverless community, and he lives in Omaha, NE with his family.

+ Read More
Demetrios Brinkmann
Demetrios Brinkmann
Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

+ Read More

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

+ Read More
Abi Aryan
Abi Aryan
Abi Aryan
Machine Learning Engineer @ Independent Consultant

Abi is a machine learning engineer and an independent consultant with over 7 years of experience in the industry using ML research and adapting it to solve real-world engineering challenges for businesses for a wide range of companies ranging from e-commerce, insurance, education and media & entertainment where she is responsible for machine learning infrastructure design and model development, integration and deployment at scale for data analysis, computer vision, audio-speech synthesis as well as natural language processing. She is also currently writing and working in autonomous agents and evaluation frameworks for large language models as a researcher at Bolkay.

Prior to consulting, Abi was a visiting research scholar at UCLA working at the Cognitive Sciences Lab with Dr. Judea Pearl on developing intelligent agents and has authored research papers in AutoML and Reinforcement Learning (later accepted for poster presentation at AAAI 2020) and invited reviewer, area-chair and co-chair on multiple conferences including AABI 2023, PyData NYC ‘22, ACL ‘21, NeurIPS ‘18, PyData LA ‘18.

+ Read More

Abi is a machine learning engineer and an independent consultant with over 7 years of experience in the industry using ML research and adapting it to solve real-world engineering challenges for businesses for a wide range of companies ranging from e-commerce, insurance, education and media & entertainment where she is responsible for machine learning infrastructure design and model development, integration and deployment at scale for data analysis, computer vision, audio-speech synthesis as well as natural language processing. She is also currently writing and working in autonomous agents and evaluation frameworks for large language models as a researcher at Bolkay.

Prior to consulting, Abi was a visiting research scholar at UCLA working at the Cognitive Sciences Lab with Dr. Judea Pearl on developing intelligent agents and has authored research papers in AutoML and Reinforcement Learning (later accepted for poster presentation at AAAI 2020) and invited reviewer, area-chair and co-chair on multiple conferences including AABI 2023, PyData NYC ‘22, ACL ‘21, NeurIPS ‘18, PyData LA ‘18.

+ Read More
SUMMARY

For databases, it feels like we're in the middle of a big shift. The first 10-15 years of the cloud were mostly about using the same core infrastructure patterns but in the cloud (SQL Server, MySQL, Postgres, Redis, Elasticsearch).

In the last few years, we're finally seeing data infrastructure that is truly built for the cloud. Elastic, scalable, resilient, managed, etc. Early examples were Snowflake + DynamoDB. The most recent ones are all the 'NewSQL' contenders (Cockroach, Yugabyte, Spanner) or the 'serverless' ones (Neon, Planetscale). Also seeing improvements in caching, search, etc. Exciting times!

+ Read More

Watch More

13:10
Posted Apr 18, 2023 | Views 2.9K
# LLM in Production
# Vector Database
# ChatGPT
# Redis
# Redis.com
# Rungalileo.io
# Snorkel.ai
# Wandb.ai
# Tecton.ai
# Petuum.com
# mckinsey.com/quantumblack
# Wallaroo.ai
# Union.ai
# Alphasignal.ai
# Bigbraindaily.com
# Turningpost.com
29:58
Posted Jun 20, 2023 | Views 1.1K
# LLM in Production
# Vector Databases
# Redis.io
# Gantry.io
# Predibase.com
# Humanloop.com
# Anyscale.com
# Zilliz.com
# Arize.com
# Nvidia.com
# TrueFoundry.com
# Premai.io
# Continual.ai
# Argilla.io
# Genesiscloud.com
# Rungalileo.io