Autoptic Software

Our DevOps change resilience product leverages a combination of integrations, telemetry, scripts, engines, AI, workflows, and analytics. These deliver Briefs and power Investigations, democratizing data access and cutting through the noise of traditional monitoring systems, all while leveraging and extending your existing investments in observability tools and incident playbooks.

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Key Autoptic Features

Briefs

Storybooks from AI agents that

offer actionable hypotheses and recommendations along with supporting evidence.

Notifications

Adaptive, priority-based updates generated and created by AI, thoughtfully and intelligently delivered to Slack and other systems.

Investigations

AI-enabled telemetry exploration with natural language Q&A. Access historical collections. Enable on-the-fly democratized forensics.

Agents

Active, autonomous entities that plan and orchestrate workflows using Tools based on specifications.

Autoptic Feedback Screenshot showing Slack integration

Autoptic Brief Screenshot showing Change Resilience Agents

Autoptic Investigations Screenshot Showing Federated Search Results Across Observability Tools

Autoptic Agent Screenshot Highlighting Combination of Tools and AI LLMs

Differentiated Autoptic Technology

The Autoptic system has been constructed using best of breed languages, tools, and technologies including Go, Groq, gpt-oss, OTel, LangChain, qdrant, vllm, and DynamoDB. Proprietary technologies include:

PQL

Performance Query Language (PQL is an intuitive, determistic DSL for describing and executing system assessment workflows. Callable from AI prompts. Built for trainability, verity, and efficiency. Demonstrated to be 60%+ more efficient than languages like Python.

Distillation

Autoptic's telemetry management approach compresses and preserves only the most relevant insights. Data is gathered, normalized, and aggregated in real-time, in memory, minimizing resources and storage requirements, and ensuring rapid turnarounds within limited AI context windows.

Generation

Autoptic systems construct adaptable, dynamically generated notebooks that include summaries, links, recommendatinos and visualizations, used for Notifications, Briefs, and Investigations.

BYOC

Autoptic software, including AI language models, is deployable into your vitural private cloud (VPC) environment using a simple Docker image approach. Our Bring Your Own Cloud (BYOC) approach is built from ground up to be managed by you and your team, ensuring:

Security: limits access to a single organization through private and secure networks.
Control: customize the environment to meet your specific technology, business, governance, and compliance requirements. Retain control of all data.
Predictability: with Autoptic, there are no variable or hidden costs. You control all operational costs yourself (e.g. compute) noting that today Autoptic customers are generally running our software and models on a single box (e.g. AWS G6e).

Sources

Autoptic collects information via a unique approach to federated search. Today, Autoptic enables data, telemetry, and issue aggregation from 10+ Sources, including Datadog, Grafana, JIRA, GitHub, CloudWatch, Prometheus, and OpenSearch. More Sources are under development and become available based on customer and market needs.

10+ Telemetry Sources Today.
More Coming.

Autoptic Telemetry Sources including Grafana, CloudWatch, GitHub, and Jira

Open

Language Models

Understanding the power and possibilities of AI frontier models, and the emerging landscape of small language models, Autoptic has been constructed in an open and flexible manner. We can leverage your licensed models while also hosting or shipping with a variety of commercial and open source models. Our team is constantly evaluating and tuning our AI systems, ensuring a high degree of insight, accuracy, and consistency in your agentic Briefs and Investigations.