Systems | Development | Analytics | API | Testing

[TALK] Model Serving Monitoring and Traceability: The Bigger Picture

The recording of our talk at the AI infrastructure alliance micro summit. This talk covers ClearML serving including monitoring and focuses on the importance of being able to trace the deployed model all the way back to the original experiment, code and data that were used to train it! One of the mayor advantages of a single tool end-to-end MLOps workflow.

TripActions Scales Security Operations And Compliance With The Snowflake Data Cloud

TripActions is an online end-to-end travel booking and expense management platform. It helps users get to where they need to be in a secure, organized manner while saving companies time and money with near-real time data and visibility. Learn why Prabhath Karanth, Sr. Director of Security, Compliance & Trust at TripActions, and his team use Snowflake at the center of their data and strategic security initiatives. Snowflake's integration with partner tools like Hunters and Anecdotes further enhances their security use cases.

Streamlining eCommerce Data Analytics

eCommerce analytics involves tracking a wide range of metrics relating to the complete journey of the customer, right from discovery to acquisition, conversion, retention and advocacy. Analytics lays a foundation framework for any eCommerce business and it helps them understand which marketing and sales initiatives are working, those that aren't, and the areas that have a great potential for growth.

Model Serving Monitoring and Traceability - The Bigger Picture - The AIIA Summit 2022

Watch our great evangelist Victor Sonck in the AIIA summit! How can you go in the bigger picture of model observability? Well, the short answer is complete traceability. And what does that mean? Find out for yourself in Victor's short and insightful talk. ClearML is an open source ML / DL experiment manager, versioning and ML-Ops full system solution.

How To Set Up Dynamic Sampling in Moesif

Join Dylan as we show users how to create Dynamic Sampling rules within Moesif. In this tutorial, we will cover how to: Dynamic sampling is a fantastic cost-savings feature available to customers on our Enterprise plan. Dynamic sampling enables you to control which API calls are logged to Moesif based on customer or API behavior. Moesif will intelligently extrapolate metrics for accurate reporting even with multiple sample rates in place. That means that no matter what rules or sample rates you have set up you can be sure you are still seeing an accurate representation of your data.

The WebSocket Handbook by Ably

Everything you ever wanted to know about WebSockets, the protocol that powers the realtime web and applications. Covering everything from introduction to implementation with source code examples. About Ably Ably is an enterprise-grade pub/sub messaging platform. We make it easy to efficiently design, quickly ship, and seamlessly scale critical realtime functionality delivered directly to end-users. Every day, we deliver billions of realtime messages to millions of users for thousands of companies.

Technology Spotlight: Apache Iceberg

At Cloudera, we are committed to staying true to our open source roots and working well within the communities is critical to that. Since 2021, we have supported the growing Iceberg community with hundreds of contributions across Impala, Hive, Spark and Iceberg. We look forward to continuing the momentum as companies embrace the open lakehouse. General release now available in the Cloudera Data Platform.