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CIO-250-M-1

Governence

“Agents must act autonomously—but only within clear, auditable boundaries.”

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CIO-200-F-1

Operational and Cost Optimization

“Help me reduce toil and optimize resource usage automatically at scale.”

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CTO-175-M-1

Observe and Act

“I want agents to continuously observe, decide, and act, across my cloud stack.”

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Forecasts, predictions and mitigations

Agents can observe, simulate, mitigate and resolve based on actual or forecast data.

Event Identification

Data on every incident is saved and used to identify new or matching events.

Alarms, channels, APIs, metrics and notifications

Users define alarms, notifications and incidents covering any single or set of workloads.

Agent Management

Manage Agents. User define alarms, notifications
and incidents covering any single or set of workloads.

Service Control Plane

Provides current health of endpoints, services, APIs for any targeted Worker Agent workload.

Compliance And Goverance

Measuring compliance and SLA metrics over a period using actual and forecasted workloads.

Multi-cloud support

Agents that understand and operate across AWS, GCP, Azure, OCI and IBM

Conversational AI

Natural interaction with agents through enterprise chat tools.

Customizability

The ability to extend or fine-tune agent logic to match org-specific policies.

Snowflake & Databricks Integration

Aviary users can store Agent data on Snowflake then use the data to generate AI models or build models with Databricks. It is easy, update your wallet with account information, enable the selected organization and pick the Agents to be used in model generation and tuning.

Store Agent data on Snowflake
Use Snowflake Cortext or Databricks for forecasting