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Description
Scale from zero to millions of events per second effortlessly. Arroyo is delivered as a single, compact binary, allowing for local development on MacOS or Linux, and seamless deployment to production environments using Docker or Kubernetes. As a pioneering stream processing engine, Arroyo has been specifically designed to simplify real-time processing, making it more accessible than traditional batch processing. Its architecture empowers anyone with SQL knowledge to create dependable, efficient, and accurate streaming pipelines. Data scientists and engineers can independently develop comprehensive real-time applications, models, and dashboards without needing a specialized team of streaming professionals. By employing SQL, users can transform, filter, aggregate, and join data streams, all while achieving sub-second response times. Your streaming pipelines should remain stable and not trigger alerts simply because Kubernetes has chosen to reschedule your pods. Built for modern, elastic cloud infrastructures, Arroyo supports everything from straightforward container runtimes like Fargate to complex, distributed setups on Kubernetes, ensuring versatility and robust performance across various environments. This innovative approach to stream processing significantly enhances the ability to manage data flows in real-time applications.
Description
The CLI tool integrates Git, Docker, Helm, and Kubernetes with any CI system to facilitate CI/CD and Giterminism. By leveraging established technologies, you can create efficient, reliable, and cohesive CI/CD pipelines. Werf simplifies the process of getting started, allowing users to implement best practices without the need to start from scratch. Not only does Werf build and deploy applications, but it also ensures that the current state of Kubernetes is continually synchronized with any changes made in Git. This tool pioneers Giterminism, using Git as a definitive source of truth and making the entire delivery process predictable and repeatable. With Werf, users have two deployment options: either converge the application from a Git commit into Kubernetes or publish the application from a Git commit to a container registry as a bundle before deploying it to Kubernetes. The setup for Werf is straightforward, requiring minimal configuration, making it accessible even to those without a background in DevOps or SRE. To assist users further, a variety of guides are available to help you deploy your application in Kubernetes quickly and effectively, enhancing the overall user experience.
API Access
Has API
API Access
Has API
Integrations
Docker
Kubernetes
AWS Fargate
Amazon Kinesis
Apache Avro
Apache Flink
Apache Kafka
Apache Parquet
CircleCI
Confluent
Integrations
Docker
Kubernetes
AWS Fargate
Amazon Kinesis
Apache Avro
Apache Flink
Apache Kafka
Apache Parquet
CircleCI
Confluent
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Arroyo
Country
United States
Website
www.arroyo.dev/
Vendor Details
Company Name
Werf
Country
United States
Website
werf.io
Product Features
Product Features
Continuous Delivery
Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management
