Autoptic Software

Enabling Features

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​​Autoptic Enabling Features are engines that power the Capabilities and Experiences outlined above. They include:

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• Agent Orchestration: is a flexible harness that enables teams to centralize and manage intelligent AI Agents, Skills, and Tools across their environments and cross-system workflows.

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• Change Detection: identifies anomalies across high-cardinality telemetry, correlating co-spikes, scoring attention, and surfacing findings across complex, often multi-tenant services.

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• Deterministic Analytics: constructs consistent charts, graphs, tables, and calculations rapidly. Powered by Performance Query Language (PQL), an intuitive, efficient DSL for describing and executing workflows. Built for trainability, verity, and efficiency. Understandable and manageable by Claude and other AI coding tools.

 

• Dynamic Outliers: surfaces meaningful signals of volatility within complex telemetry. Rather than relying on static thresholds, Autoptic combines relative scale with evidence of recent changes, separates localized spikes from fleet-aligned movements, and pairs notable shifts with baseline context.

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• Federated Search: accesses, aggregates and distills telemetry. Retains only essential logs, traces, metrics, and events versus storing extensive volumes of raw data. With recurring snapshots and selective retention of insights, avoids expensive storage and processing costs.

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• Environment Discovery (Coming Soon): automatic system sensing where Autoptic discovers the shape of the environment, the services running, the signals available, and the relationships between them. Discovery will enable self-configuring options with minimal manual setup.

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• Change Ledger (Coming Soon): builds a living memory of your systems by recording important, impactful changes (planned or unplanned, internal and external), providing the foundation to model, predict, and assess latent and future system risk.

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Key Technologies

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Autoptic Key Technologies are used across Enabling Features. They are under the hood elements of what makes Autoptic operate in real-world, fast-moving, complex, large-dataset environments. Many of these Technologies contain more than two years of core software development behind them. In a world of agentic AI promises, we offer that these Technologies are part and parcel of what’s needed to operate a robust approach to DevOps Change Resilience.

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• Compression: Autoptic's data management approach preserves only the most relevant insights. Data is gathered, normalized, and aggregated in real-time, in memory, minimizing resources and storage requirements.

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• Catalog: a curated library of ready-to-use Agents, Skills, and Tools for the Autoptic system. Instead of building capabilities from scratch, customer teams pick the foundational elements they want, contextualize them on the fly, attach them to how the team works, and then update them as needed.

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• Scheduling: provides cron job management, task scheduling and execution, dependency resolution, retry logic and error handling, execution monitoring, etc.

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• Notification: coordinates delivery of results produced by an Autoptic Agent to a destination (e.g., Slack, email, webhook). Often guided by intelligent volatility analysis.

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• Deployment: manages binaries and language model updates in a BYOC/VPC environment, enabling Autoptic customers to control techniques like Docker Hub compose pulls.

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• Model: Autoptic provides an embedded and managed LLM (hosted or deployed into your cloud environment). At the same time, Autoptic offers an open architecture that enables multiple model usage—including your commercial or OSS choice(s). 

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Control Planes

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Autoptic Control Planes manage how resources, data flows, permissions, and compute behaviors are configured, orchestrated, and updated over time. They act as the layer of logic and policy that directs Autoptic system state.

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• Integrations: the Autoptic open architecture equips API-level access and automation to key features, technologies, and capabilities. 

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• Infrastructure: governs how compute, storage, and network resources are optimized for Autoptic environments, whether hosted by Autoptic or managed by our customers (in a BYOC/VPC model).

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• Data: defines how telemetry, logs, metrics, and events are collected, routed, transformed, and retained. Autoptic brings structure to this layer by unifying fragmented pipelines into a coherent “change-aware” system.

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• Tokens: manages how AI and automation consume, allocate, and optimize tokens across models, agents, and workflows. Helps customers prevent runaway costs and ensure inference remains aligned with operational intent.

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• Access: controls who and what can act across systems, APIs, and automation layers. Leverages SSO and cloud management.

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Explore Autoptic Further

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Visit Autoptic Solutions to learn more about the impacts and use cases of Autoptic. See Autoptic Services for details on offerings to help you on your change resilience journey. Visit About Us and Why Autoptic? to gain insights on the company behind Autoptic software.

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