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What is RackN Digital Rebar?

Imagine a collaborative approach to creating adaptable workflows tailored to specific sites, effectively connecting operations, security, and development teams. This aspiration can be achieved through the use of Digital Rebar, which seamlessly merges various tools and processes while harnessing existing DevOps resources such as Terraform and Ansible in a contextually relevant manner. Digital Rebar optimizes the complete lifecycle of systems, beginning with the initial booting process (even on bare metal) and extending to the intricate details of cluster formation. With its versatile architecture, Digital Rebar allows users to extract reusable modules from the Infrastructure as Code (IaC) catalog, which supports the integration of APIs and user-customizable workflows that help in orchestrating multi-vendor infrastructures, thereby offering cloud-like flexibility. By encapsulating infrastructure automation into immutable, versioned modules, the system guarantees both consistency and reliability throughout the infrastructure lifecycle. The combination of IaC with declarative REST APIs enables users to manage infrastructure pipelines with the same level of confidence typically reserved for CI/CD pipelines in software development, which ultimately boosts operational efficiency and fosters better collaboration among teams. This forward-thinking strategy not only simplifies the management of resources but also accelerates the pace of innovation, allowing teams to respond to challenges and opportunities more effectively. In this ever-evolving landscape, the ability to adapt and innovate is crucial for success.

What is KitOps?

KitOps is a powerful platform designed for the packaging, versioning, and distribution of AI/ML projects, utilizing open standards to ensure smooth integration with various AI/ML, development, and DevOps tools, while also being aligned with your organization’s container registry. It has emerged as the preferred solution for platform engineering teams in the AI/ML sector looking for a reliable way to package and oversee their resources. With KitOps, one can develop a detailed ModelKit for AI/ML projects, which contains all the necessary components for both local testing and production implementation. Moreover, the selective unpacking feature of a ModelKit enables team members to streamline their processes by accessing only the relevant elements for their tasks, effectively saving both time and storage space. As ModelKits are immutable, can be signed, and are stored within your existing container registry, they offer organizations a robust method for monitoring, managing, and auditing their projects, leading to a more efficient workflow. This pioneering method not only improves teamwork but also promotes uniformity and dependability within AI/ML endeavors, making it an essential tool for modern development practices. Furthermore, KitOps supports scalable project management, adapting to the evolving needs of teams as they grow and innovate.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

RackN

Date Founded

2014

Company Location

United States

Company Website

rackn.com/products/rebar/

Company Facts

Organization Name

KitOps

Date Founded

2024

Company Location

Canada

Company Website

kitops.ml

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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