For decades, machine learning engineers have struggled to manage and automate ML pipelines in order to speed up model deployment in real business applications. Similar to how software developers leverage DevOps to increase efficiency and speed up release velocity, MLOps streamlines the ML development lifecycle by delivering automation, enabling collaboration across ML teams and improving the quality of ML models in production while addressing business requirements.

Wire encryption protects data in motion, and Transport Layer Security (TLS) is the most widely used security protocol for wire encryption. TLS provides authentication, privacy and data integrity between applications communicating over a network by encrypting the packets transmitted between endpoints. Users interact with Hadoop clusters via browser or command line tools, while applications use REST APIs or Thrift.

Many data providers who participate in Snowflake Data Marketplace are already using Snowflake Cloud Data Platform as their primary data store, and they can share secure slices of their data via Global Snowflake, Snowflake’s global data sharing feature, with any other Snowflake consumer regardless of which cloud or Snowflake region each is using. But other potential data providers, especially data enrichment companies, are not yet using Snowflake themselves.

We are going to be covering how to deploy a React Native Expo app to Appetize, a platform that lets you run mobile apps in your browser.

Our instrumentation uses built-in extension mechanisms where possible, such as Django’s database instrumentation. But often libraries have no such mechanisms, so we resort to wrapping third party libraries’ functions with our own decorators. For example, we instrument jinja2 ’s Template.render() function with a decorator to measure template rendering time. We value the correctness of our instrumentation a lot so that we do not affect our users’ applications.