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What is Ondat?

Enhancing your development process can be achieved by utilizing a storage solution that seamlessly integrates with Kubernetes. As you concentrate on deploying your application, we guarantee that you will have the persistent volumes necessary for stability and scalability. By incorporating stateful storage into your Kubernetes setup, you can streamline your application modernization efforts and boost overall efficiency. You can seamlessly operate your database or any persistent workload in a Kubernetes environment without the hassle of managing the underlying storage infrastructure. With Ondat, you can create a uniform storage solution across various platforms. Our persistent volumes enable you to manage your own databases without incurring high costs associated with third-party hosted services. You regain control over Kubernetes data layer management, allowing you to customize it to your needs. Our Kubernetes-native storage, which supports dynamic provisioning, functions precisely as intended. This solution is API-driven and ensures tight integration with your containerized applications, making your workflows more effective. Additionally, the reliability of our storage system ensures that your applications can scale as needed, without compromising performance.

What is Argo?

Utilizing open-source solutions for Kubernetes can significantly streamline workflow execution, cluster oversight, and the adoption of GitOps practices. These tools incorporate a Kubernetes-native workflow engine that supports both Directed Acyclic Graph (DAG) and step-based workflows. Featuring a comprehensive user interface, they promote a declarative method for continuous delivery. Additionally, they make advanced deployment strategies like Canary and Blue-Green approaches much more manageable. Among these tools, Argo Workflows stands out as an open-source, container-native engine that enables the execution of parallel jobs within Kubernetes ecosystems. It operates as a Custom Resource Definition (CRD) in Kubernetes, permitting users to design complex multi-step workflows that outline task sequences and their interdependencies through a graph structure. This functionality not only optimizes the execution of compute-intensive tasks related to machine learning and data processing, but it also cuts down the time needed for job completion when deployed on Kubernetes. Furthermore, these solutions facilitate the smooth operation of CI/CD pipelines directly on Kubernetes, thereby removing the complexities typically associated with software development setups. Ultimately, they are specifically crafted for container environments, reducing the overhead and limitations often encountered with conventional virtual machines and server architectures. By adopting these advanced tools, organizations can significantly improve workflow management in today’s cloud-native applications, resulting in more efficient and agile development processes.

Media

Media

Integrations Supported

Argo CD
Kubernetes
Amazon EKS
Anthos
Apache ZooKeeper
Azure Kubernetes Service (AKS)
DigitalOcean
Elasticsearch
Google Kubernetes Engine (GKE)
IBM Cloud Kubernetes Service
Jenkins
MariaDB
MongoDB
MySQL
Prometheus

Integrations Supported

Argo CD
Kubernetes
Akuity
CloudKnit
Testkube
UBOS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Ondat

Company Location

United Kingdom

Company Website

www.ondat.io

Company Facts

Organization Name

Argo

Company Location

United States

Company Website

argoproj.github.io

Categories and Features

Block Storage

Not specified

Container Engines

Not specified

Container Management

Not specified

DevOps

Not specified

Hybrid Cloud Storage

Not specified

Categories and Features

Continuous Delivery

Not specified

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