Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Flexagon offers a comprehensive solution for DevOps and configuration management tailored to enterprise applications, providing a unified platform to streamline technical deployments, oversee configuration migrations, and ensure an extensive audit trail across all environments. By transforming the way organizations handle various changes—including code deployments, configuration updates, compliance, metadata, and data management—Flexagon consolidates these processes within a single, governed platform. This innovative approach enables teams to significantly reduce manual tasks, decrease the likelihood of errors, and speed up delivery times while meeting compliance standards through integrated approval mechanisms and security features. Additionally, it facilitates the integration of existing tools like Jira, ServiceNow, and test automation systems into one cohesive pipeline. Flexagon's release packaging workflow empowers users to efficiently discover and organize files, customize package content, manage the addition and removal of files, and sequence them appropriately, while also allowing for the building and deployment of packages alongside managing work items, dependencies, and subcomponents. Ultimately, Flexagon not only simplifies the management of enterprise applications but also enhances overall operational efficiency and governance.
Description
KitOps serves as a robust system for packaging, versioning, and sharing AI/ML projects, leveraging open standards to seamlessly integrate with existing AI/ML, development, and DevOps tools, while also being compatible with your enterprise container registry. It has become the go-to choice for platform engineering teams in the AI/ML domain seeking a secure method for packaging and managing their assets.
With KitOps, you can create a comprehensive ModelKit for your AI/ML projects, encapsulating all elements necessary for local reproduction or production deployment. Additionally, the ability to selectively unpack a ModelKit allows team members to optimize their workflow by only accessing the components pertinent to their specific tasks, thereby conserving both time and storage resources. Given that ModelKits are immutable, can be signed, and reside within your established container registry, they provide organizations with an efficient means of tracking, controlling, and auditing their projects, ensuring a streamlined workflow. This innovative approach not only enhances collaborative efforts but also fosters consistency and reliability across AI/ML initiatives.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Acunetix
Yes
Anchore
Yes
Ansible
Yes
Azure DevOps
Yes
Bitbucket
Yes
Checkmarx
Yes
CyberArk Conjur
Yes
Git
Yes
GitHub
Yes
GitLab
Yes
Integrations
Acunetix
No
Anchore
No
Ansible
No
Azure DevOps
No
Bitbucket
No
Checkmarx
No
CyberArk Conjur
No
Git
No
GitHub
No
GitLab
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Flexagon
Founded
2014
Country
United States
Website
flexagon.com/platform/
Vendor Details
Company Name
KitOps
Founded
2024
Country
Canada
Website
kitops.ml
Product Features
DevOps
Approval Workflow
No
Dashboard
No
KPIs
No
Policy Management
No
Portfolio Management
No
Prioritization
No
Release Management
No
Timeline Management
No
Troubleshooting Reports
No
Product Features
DevOps
Approval Workflow
No
Dashboard
No
KPIs
No
Policy Management
No
Portfolio Management
No
Prioritization
No
Release Management
No
Timeline Management
No
Troubleshooting Reports
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No