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What is Werf?

The command-line interface tool seamlessly combines Git, Docker, Helm, and Kubernetes with any continuous integration system, thereby streamlining CI/CD processes and embracing the concept of Giterminism. By utilizing proven technologies, it enables the creation of efficient, dependable, and unified CI/CD pipelines. Werf makes it easy to begin the journey, empowering users to adopt best practices without the hassle of starting from zero. In addition to building and deploying applications, Werf guarantees that the existing state of Kubernetes remains in sync with any updates made in Git, ensuring a smooth workflow. This tool leads the way in Giterminism, establishing Git as the ultimate source of truth, which fosters a delivery process that is both predictable and repeatable. With Werf, users can choose between two deployment methods: they can either bring the application directly from a Git commit into Kubernetes or first package the application as a bundle in a container registry before deploying it to Kubernetes. The configuration for Werf is simple and requires very little setup, making it user-friendly, even for individuals who lack extensive knowledge in DevOps or site reliability engineering. To enhance the user experience, a range of tutorials is available, allowing users to quickly and efficiently deploy their applications to Kubernetes, which ultimately supports a smoother integration process. This combination of features not only improves productivity but also encourages more developers to embrace modern deployment practices.

What is Arroyo?

Scale from zero to millions of events each second with Arroyo, which is provided as a single, efficient binary. It can be executed locally on MacOS or Linux for development needs and can be seamlessly deployed into production via Docker or Kubernetes. Arroyo offers a groundbreaking approach to stream processing that prioritizes the ease of real-time operations over conventional batch processing methods. Designed from the ground up, Arroyo enables anyone with a basic knowledge of SQL to construct reliable, efficient, and precise streaming pipelines. This capability allows data scientists and engineers to build robust real-time applications, models, and dashboards without requiring a specialized team focused on streaming. Users can easily perform operations such as transformations, filtering, aggregation, and data stream joining merely by writing SQL, achieving results in less than a second. Additionally, your streaming pipelines are insulated from triggering alerts simply due to Kubernetes deciding to reschedule your pods. With its ability to function in modern, elastic cloud environments, Arroyo caters to a range of setups from simple container runtimes like Fargate to large-scale distributed systems managed with Kubernetes. This adaptability makes Arroyo the perfect option for organizations aiming to refine their streaming data workflows, ensuring that they can efficiently handle the complexities of real-time data processing. Moreover, Arroyo’s user-friendly design helps organizations streamline their operations significantly, leading to an overall increase in productivity and innovation.

Media

Media

Integrations Supported

Docker
Kubernetes
AWS Fargate
Amazon Kinesis
Apache Avro
Apache Flink
Apache Parquet
CircleCI
Confluent
Delta Lake
Git
GitHub
Helm
JSON
Jenkins
PostgreSQL
Python
Redis
Rust
SQL

Integrations Supported

Docker
Kubernetes
AWS Fargate
Amazon Kinesis
Apache Avro
Apache Flink
Apache Parquet
CircleCI
Confluent
Delta Lake
Git
GitHub
Helm
JSON
Jenkins
PostgreSQL
Python
Redis
Rust
SQL

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Werf

Company Location

United States

Company Website

werf.io

Company Facts

Organization Name

Arroyo

Company Location

United States

Company Website

www.arroyo.dev/

Categories and 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

Popular Alternatives

Popular Alternatives