AIME Self-Healing Automation
The Autonomous Infrastructure Management Engine (AIME) is the self-regulating automation layer built into the SC//HyperCore™ Hypervisor. It drastically reduces the effort required to deploy, secure, manage, and maintain on-premises infrastructure.
Using a hierarchical state machine, AIME continuously monitors the full stack — storage, compute, and networking — and executes predefined corrective actions the moment conditions warrant them. There's no dashboard to check, no ticket to file, and no external tool to configure: infrastructure health is managed automatically, from within the platform itself.
AIME builds a model of the state of the system that allows SC//HyperCore virtualization suite to handle day-to-day operational administrative tasks and maintenance automatically, monitors the system for security, hardware, and software errors, and remediates those errors where possible. It identifies the root cause and minimizes the impact of those issues when it cannot repair them automatically, notifying users with specific problem determination and action, versus just sending a stream of data that must be interpreted. This includes actions to secure the environment. It also maintains current firmware, driver, and OS versions for security and stability purposes.
Benefits of Automated Infrastructure Management
Minimize IT Support
AIME's comprehensive monitoring, proactive problem detection, and automated remediation swiftly address issues and maintain system health without constant manual intervention.
Eliminate Confusing Logs
Precise problem determination and actionable insights streamline troubleshooting, eliminating the need to decipher confusing logs and providing clear guidance on addressing issues.
Automate Remediation
Behavior is deterministic: the same state transition always produces the same response, making remediation predictable and auditable. This decision comes directly from AIME's state model, not a separate scheduler or manual trigger.
How Self-Healing Infrastructure is a Requirement in Modern IT
- See how AIME, Scale Computing’s Autonomous Infrastructure Management Engine, drives infrastructure automation and eliminates manual tasks
- Explore real-world use cases of SC//HyperCore solutions and AIME in enterprise environments delivering consistent uptime, efficiency, and scale
Intelligent Automation Across the Stack with AIME
Live State Modeling and Continuous, Condition-Based Monitoring
AIME maintains a continuous, real-time model of every node and service in the cluster, not a snapshot, a running picture that updates as conditions change. Defined thresholds and conditions (healthy, degraded, at-risk, failed) and the transitions between them determine what normal and at-risk look like; this is its distinct mechanism, not shared with any other component. Because it's native to the SC//HyperCore platform, AIME monitors every layer directly, with no dependency on third-party monitoring tools.
How AIME Orchestrates Autonomously
At the heart of AIME is a hierarchical finite state machine that continuously monitors and models the full state of your environment. This includes:
- Hardware and software context: Node status, cluster configuration, storage health, compute capacity
- Physical variables: Temperature, power supply, cabling integrity
- Logical variables: Network topology, VM performance, external service availability
AIME processes these inputs through conditions (boolean flags identifying specific problem states) and checked values (validated data points), feeding them into its state machine to make informed, autonomous decisions.
The result: infrastructure that senses problems, understands root causes, and resolves issues without waiting for human input or external analytics platforms.
How It’s Different from Traditional AIOps
| Feature | Traditional AIOps Tools | AIME by Scale Computing |
|---|---|---|
| Automation Type | Event-triggered scripts or workflows | State-driven autonomous orchestration |
| Human Dependency | Requires manual setup, tuning, and escalation | Operates independently without daily oversight |
| Integration Model | Layered on top of 3rd-party infrastructure | Natively embedded within SC//HyperCore |
| Responsiveness | Often reactive based on alerts | Proactively models and resolves before disruption |
| Setup Complexity | High—requires integration, training, and customization | Low—built-in and activated out of the box |
| Scalability Across Edge Sites | Limited—centralized tools struggle at scale | Designed for 1 to 50,000 edge sites |
| Security Response | Often isolated from infrastructure behavior | Tied to real-time system health and configuration state |
| Learning & Adaptation | Dependent on external data lakes or ML engines | Based on live telemetry from global fleets |
Ready to see AIME in action?
Book a demo and explore how our AIOps platform simplifies and automates your IT operations.
Learn more about SC//HyperCore Virtualization Suite
SCRIBE
Scale Computing Reliable Independent Block Engine is an enterprise-class, clustered, block storage layer and critical component of SC//HyperCore virtualization suite.
HEAT
The addition of flash storage in nodes allows more capabilities in the SCRIBE storage architecture with the HyperCore Enhanced Automated Tiering (HEAT) feature.
SC//HyperCore Hypervisor
Move beyond traditional IT silos with efficient, lightweight, all-in-one architecture that deploys fully integrated and highly available virtualization.
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