Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Azure Deployment Environments offers developers the ability to utilize self-service, project-oriented templates for setting up environments suitable for any phase of development. This approach not only fosters collaboration and innovation through standardized environments and established best practices but also promotes experimentation and the use of InnerSource, all while ensuring that security, compliance, and cost-effectiveness are prioritized. Developers can seamlessly deploy the appropriate environment at the optimal moment, eliminating concerns about backend operations. By selecting from a tailored collection of templates designed specifically for their projects, they can provision complex environments in just minutes, bypassing the need for assistance from the platform engineering team. Additionally, users can create self-service environments directly from their work locations, such as the code repository, command-line interface, or a personalized development portal, while automatically configuring the necessary identities, permissions, and Azure subscriptions to streamline the process. This efficient system ultimately empowers developers to focus on their core tasks without being hindered by technical overhead.
Description
Execute your workloads and gain immediate actionable insights at the source of data generation with Azure Stack Edge, which offers specialized hardware-as-a-service. You can effortlessly procure your appliance through the Azure portal, adopting a hardware-as-a-service approach that is billed monthly through your Azure subscription. Experience a fluid cloud-to-edge integration as you set up, oversee, and upgrade your Azure Stack Edge using the same management interface and development tools familiar from Azure. Deploy your containerized applications and virtual machines directly at the data creation point for optimal efficiency. Process, transform, and filter your data on the edge, transmitting only the essential information to the cloud for additional processing or storage requirements. Additionally, you can design and train machine learning models in Azure or leverage Azure Cognitive Services, utilizing the integrated NVIDIA T4 GPU or Intel VPU in the Mini R to enhance local processing speeds. This enables businesses to make data-driven decisions faster than ever, significantly improving operational effectiveness.
API Access
Has API
No
API Access
Has API
No
Integrations
Microsoft Azure
Yes
Azure Marketplace
No
Azure Network Function Manager
No
Integrations
Microsoft Azure
Yes
Azure Marketplace
Yes
Azure Network Function Manager
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$399 per month
Free Trial
Yes
Free Version
No
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1974
Country
United States
Website
azure.microsoft.com/en-us/products/deployment-environments
Vendor Details
Company Name
Microsoft
Founded
1974
Country
United States
Website
azure.microsoft.com/en-us/products/azure-stack/edge
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
Cloud Management
Access Control
No
Billing & Provisioning
No
Capacity Analytics
No
Cost Management
No
Demand Monitoring
No
Multi-Cloud Management
No
Performance Analytics
No
SLA Management
No
Supply Monitoring
No
Workflow Approval
No