Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The hosted platform is ideal for rapidly expanding development teams seeking to streamline the deployment, lifecycle management, and monitoring of applications, thus minimizing the costs associated with replicating applications in DEV/TEST environments. For instance, platforms like PayPal's casino services in Canada necessitate cutting-edge solutions that can handle the automation of thousands of transactions each day. A specialized PayPal finance team oversees the management of deposits and withdrawals that are securely kept in cloud applications, significantly enhancing operational efficiency. Furthermore, the platform offers seamless integrations with both private and public cloud services to facilitate the automatic provisioning and scaling of virtual infrastructure essential for Docker-based application deployments. It also provides comprehensive insights into the performance of clusters, hosts, and active containers, along with features for alerting and auto-healing capabilities. This comprehensive approach not only improves reliability but also empowers teams to focus on innovation rather than maintenance.
Description
dFlow is a self-hosted Platform-as-a-Service (PaaS) that prioritizes developers, allowing teams to deploy, manage, and scale their applications on private infrastructure while enjoying the ease and functionality typical of modern cloud services.
Positioned as a self-hosted solution in comparison to platforms like Heroku and Railway, dFlow empowers developers, startups, and agencies to handle production workloads on their own servers, circumventing vendor lock-in and eliminating usage-based pricing limitations.
At its foundation, dFlow leverages Docker for deployments, ensuring that application environments remain consistent and reproducible. Developers are enabled to deploy applications through container images or Dockerfiles, manage environment variables, access real-time logs, and oversee crucial application lifecycle operations like starting, stopping, restarting, and scaling.
Moreover, dFlow features a comprehensive dashboard that facilitates the management of applications, servers, environments, and deployment workflows, streamlining the entire process for users. This all-in-one approach enhances collaboration and efficiency for development teams looking for greater control over their application infrastructure.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Yes
CloudSigma
Yes
DigitalOcean
Yes
Docker
Yes
GitHub
Yes
Google Cloud Platform
Yes
Jenkins
Yes
Microsoft Azure
Yes
Rackspace OpenStack
Yes
Integrations
Amazon Web Services (AWS)
No
CloudSigma
No
DigitalOcean
No
Docker
No
GitHub
No
Google Cloud Platform
No
Jenkins
No
Microsoft Azure
No
Rackspace OpenStack
No
Pricing Details
$100 per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
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
No
Live Rep (24/7)
Yes
Online Support
No
Types of Training
Training Docs
No
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
DCHQ
Country
United States
Website
dchq.io
Vendor Details
Company Name
dFlow
Founded
2025
Country
India
Website
dflow.sh/
Product Features
Infrastructure-as-a-Service (IaaS)
Analytics / Reporting
No
Configuration Management
No
Data Migration
No
Data Security
No
Load Balancing
No
Log Access
No
Network Monitoring
No
Performance Monitoring
No
SLA Monitoring
No
Workload Automation
Alerts / Notifications
No
Audit Trails
No
Business Process Management
No
Cross-Platform Scheduling
No
Dashboard
No
Data Analysis / Visualization
No
Event-Triggers
No
Load Balancing
No
Resource-Based Scheduling
No
Robotic Process Automation (RPA)
No
Workflow Foundation Support
No