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Average Ratings 0 Ratings
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
CtrlStack oversees a diverse array of operational functions and change sources to mitigate risks, assess the impact of changes, and swiftly identify the root causes of production problems. In observability, relationship mapping involves uncovering significant connections and interactions among various data types—such as metrics, events, logs, and traces. We employ a native graph database to efficiently encapsulate this “data between the data” at both speed and scale. Achieve comprehensive visibility of all changes related to commits, configuration files, and feature flags with a single click. Gather all pertinent information regarding an incident at the precise moment it arises, as well as throughout the process of diagnosis and resolution, to prevent the overwriting of one another's changes. Gain valuable insights into what alterations were made, when they occurred, who initiated them, and the subsequent effects on operations. Foster collaboration among teams by leveraging shared data knowledge through a DevOps graph, enhancing overall operational efficiency and communication. This approach not only improves incident response times but also strengthens the team's ability to work together effectively.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Kubernetes
PagerDuty
Terraform
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
CtrlStack
Founded
2020
Website
www.ctrlstack.com
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports