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Description
Autoheal diligently monitors alerts, formulates potential root causes, and suggests corrective measures while operating under human oversight. Additionally, it fully automates the postmortem analysis phase. Central to this process is the Production Context Graph (PCG), which serves as a dynamic and ever-evolving representation that interlinks your infrastructure, application logic, production tools, and accumulated knowledge in real-time. The PCG is created through independent exploration of your observability, cloud, and code framework, and is continually enhanced by a Reinforcement Learning mechanism as you engage with Autoheal. Built upon the PCG is a Multi-Agent Platform consisting of specialized agents that work in tandem with human operators to address production challenges effectively and safely.
For AI agents aimed at production engineering to thrive in actual enterprise settings, it is essential to tackle three significant challenges.
Firstly, the Context Gap: is the AI capable of navigating the disparate contexts within my organization?
Secondly, the Trust Gap: can I have confidence in the AI's strict compliance with my organization's security protocols?
Lastly, addressing these gaps is vital to ensuring seamless integration and reliability in complex operational environments.
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.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
CloudSigma
DigitalOcean
Docker
GitHub
Google Cloud Platform
Jenkins
Microsoft Azure
Rackspace OpenStack
Integrations
Amazon Web Services (AWS)
CloudSigma
DigitalOcean
Docker
GitHub
Google Cloud Platform
Jenkins
Microsoft Azure
Rackspace OpenStack
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$100 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Autoheal
Founded
2025
Country
United States
Website
autoheal.ai/
Vendor Details
Company Name
DCHQ
Country
United States
Website
dchq.io
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports
Product Features
Infrastructure-as-a-Service (IaaS)
Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring
Workload Automation
Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support