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What is Skaffold?

Skaffold is an open-source command-line utility designed to streamline the development process for applications that operate on Kubernetes. By automating the processes of building, pushing, and deploying, it allows developers to devote more time to writing code instead of handling these logistical tasks. The tool supports a wide array of technologies and frameworks, granting users the liberty to choose their preferred methods for application development and deployment. With its pluggable architecture, Skaffold easily integrates with various build and deployment solutions, making it adaptable to different workflows. Operating entirely on the client side, this lightweight tool ensures that it does not add extra overhead or maintenance tasks to Kubernetes clusters. It greatly accelerates local Kubernetes development by tracking changes in source code and efficiently managing the pipeline for building, pushing, testing, and deploying applications. Additionally, Skaffold provides continuous feedback through its management of deployment logs and resource port-forwarding, which enhances the developer experience significantly. Its context-aware features, including support for profiles and local user configurations, cater to the specific requirements of individual developers and teams alike. This adaptability and support for diverse development scenarios render Skaffold an indispensable asset within the Kubernetes ecosystem, ensuring that it meets the evolving needs of developers throughout their workflows. Ultimately, its capabilities contribute to a more efficient and enjoyable development experience, fostering innovation and productivity.

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

Kubernetes
AWS Fargate
Amazon Kinesis
Apache Avro
Apache Flink
Apache Kafka
Apache Parquet
Confluent
Delta Lake
Docker
Google Cloud Deploy
JSON
PostgreSQL
Python
Redis
Rust
SQL
Visual Studio Code

Integrations Supported

Kubernetes
AWS Fargate
Amazon Kinesis
Apache Avro
Apache Flink
Apache Kafka
Apache Parquet
Confluent
Delta Lake
Docker
Google Cloud Deploy
JSON
PostgreSQL
Python
Redis
Rust
SQL
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

Skaffold

Company Location

United States

Company Website

skaffold.dev/

Company Facts

Organization Name

Arroyo

Company Location

United States

Company Website

www.arroyo.dev/

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

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