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Average Ratings 0 Ratings
Description
Confidant is an open-source service designed for secret management, enabling secure and user-friendly storage and retrieval of sensitive information, developed by the team at Lyft. It addresses the challenge of authentication by leveraging AWS KMS and IAM, which enables IAM roles to create secure tokens that Confidant can validate. Additionally, Confidant oversees KMS grants for your IAM roles, facilitating the generation of tokens for service-to-service authentication and enabling encrypted communication between services. Secrets are stored in an append-only format within DynamoDB, with each revision of a secret linked to a distinct KMS data key, utilizing Fernet symmetric authenticated encryption for security. Furthermore, Confidant features a web interface built with AngularJS, allowing users to efficiently manage their secrets, associate them with services, and track the history of modifications. This comprehensive tool not only enhances security but also simplifies the management of sensitive data across various applications.
Description
Flyte is a robust platform designed for automating intricate, mission-critical data and machine learning workflows at scale. It simplifies the creation of concurrent, scalable, and maintainable workflows, making it an essential tool for data processing and machine learning applications. Companies like Lyft, Spotify, and Freenome have adopted Flyte for their production needs. At Lyft, Flyte has been a cornerstone for model training and data processes for more than four years, establishing itself as the go-to platform for various teams including pricing, locations, ETA, mapping, and autonomous vehicles. Notably, Flyte oversees more than 10,000 unique workflows at Lyft alone, culminating in over 1,000,000 executions each month, along with 20 million tasks and 40 million container instances. Its reliability has been proven in high-demand environments such as those at Lyft and Spotify, among others. As an entirely open-source initiative licensed under Apache 2.0 and backed by the Linux Foundation, it is governed by a committee representing multiple industries. Although YAML configurations can introduce complexity and potential errors in machine learning and data workflows, Flyte aims to alleviate these challenges effectively. This makes Flyte not only a powerful tool but also a user-friendly option for teams looking to streamline their data operations.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AWS Amplify
Yes
Amazon Athena
No
Amazon SageMaker
No
Apache Hive
No
Apache Parquet
No
Dask
No
Databricks
No
Feast
No
Horovod
No
Hugging Face
No
Integrations
AWS Amplify
No
Amazon Athena
Yes
Amazon SageMaker
Yes
Apache Hive
Yes
Apache Parquet
Yes
Dask
Yes
Databricks
Yes
Feast
Yes
Horovod
Yes
Hugging Face
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Confidant
Founded
2014
Website
lyft.github.io/confidant/
Vendor Details
Company Name
Union.ai
Founded
2020
Country
United States
Website
flyte.org
Product Features
Privileged Access Management
Application Access Control
No
Behavioral Analytics
No
Credential Management
No
Endpoint Management
No
For MSPs
No
Granular Access Controls
No
Least Privilege
No
Multifactor Authentication
No
Password Management
No
Policy Management
No
Remote Access Management
No
Threat Intelligence
No
User Activity Monitoring
No
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No