Modern CloudOps with Autonomous Agents

Predict issues, automate fixes, and reduce toil with AI agents built for real cloud teams

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Governance

Manage Agent lifecycles: create, schedule, and run. Define your alarms and notifications for any and every workload.
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Operational and Cost Optimization

Access continuously streamed actionable insights describing the current health of endpoints, services, and APIs for any target Agent workload.
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Observe and Act

Measure your compliance with your customer Service Level Agreements and your own Service Level Objectives by customizing your metrics over a period using actual and forecasted workloads.
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Multi-Cloud Support, Native Interfaces and Customizability

Access five-day rolling composite, service, and Agent forecasts, including alarm probabilities, enabling you to preempt and proactively fix issues.

What CloudOps Looks Like in Action

A visual walkthrough of how Cloud Canaries agents detect, decide, and act across your cloud, teams, and tools.

Slack-Based CloudOps Workflow

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Agents notify, summarize, and seek approvals in Slack so SREs stay informed and in control without switching context.

Unified Agent Control Plane

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Centrally manage agents, SLA targets, and incidents with explainable remediation, simulation tools, and audit trails.

Autonomous Service Agents in Action

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Deploy modular agents cost, incident, compliance, remediation each tailored to specific workloads and cloud services.

Drift Detection to Auto-Remediation (Policy Compliance)

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Detect IAM and resource policy violations, trigger Slack-based approvals, and auto-remediate all logged and auditable.

Forecasting for Proactive Ops

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Forecast incidents, resource constraints, and anomaly probabilities up to 5 days out enabling preemptive ops decisions.

Real-Time Event Identification

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Convert complex event data into prioritized, AI-generated root cause summaries with recommended actions.

Enabling Features

Essential features for integration and customization.
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Agent Lifecycle Management

 Create, configure, schedule, and run agents across environments with full lifecycle control.
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Decision & Execution Workflows

Define step-by-step governance workflows for approving or rejecting agent actions.
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Service Settings & SLAs

Manage incident definitions, set SLA/SLO thresholds, and monitor outcomes over time.
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Alarm & Notification Configuration

 Customize alarm conditions and routing using agent policies and observability signals.
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Scheduling Options

Set when agents run, how frequently, and under what conditions.
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Group-Based Access Control

Organize agents into functional or organizational groups (e.g., Dev, Stage, Prod) with user access rules.
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Agent-to-Agent Communication

Agents can share memory and trigger shared actions — enabling governance at scale.
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Assistant Memory Management

Used for Agent Authentication with the Aviary platform.
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Streamed Operational Insights

Continuously assess the health of endpoints, APIs, and workloads across services.
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Worker Agent Configuration

Customize and deploy open-source worker agents tailored to your environment in seconds.
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Worker Agent Libraries

Organize task-based workers into modular libraries powering broader service agents.
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Worker Agents from API Schemas

Generate worker agents automatically using OpenAPI schemas.
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Forecast Model Management

Create and tune models using tools like Databricks, Snowflake Cortex, or built-in neural networks.
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Wallet

Manage credentials and access tokens for external systems (e.g., Databricks, Snowflake).
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Cluster Selection

Connect agents to runtime clusters using kubeconfig for Kubernetes-based deployments.
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Composite Daily Forecasts

Combine forecasts across services to surface critical trends and performance degradation.
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Five-Day Rolling Forecasts

Visualize near-future performance by agent, service, or composite workload — including alarm probabilities.
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Named Pattern Matching for Incidents

 Identify recurring issues based on saved incident summaries and known resolution patterns.
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Incident & SLA Dashboards

Conversational, dynamic views that summarize health, risk, and SLA/SLO performance.
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Multi-Cloud Support

Native agent compatibility with AWS, Azure, GCP, Oracle Cloud, and IBM.
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Conversational Ops/Dev Interface

Interact with agents and dashboards directly via Slack or Teams, like an SRE comrade, to investigate or configure services.
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Open Source Agent Sharing

Share custom-built agents with others across your org or community.
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Multiple Deployment Types

Run agents as Kubernetes-managed services, Docker containers, or standalone executables.
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API Key Management

Authenticate your agents securely with the AI platform.
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What are Cloud Canaries AI Agents?

Independent Agentic AI agents that monitor, observe, manage and remediate cloud environments with:

  • Workload and telemetry data
  • Perception, reasoning, actions, and learning
  • Observability and workflow dashboards

 Shared from a single platform.

 

Create and deploy Agents in minutes, collect data today, and managed tomorrow.

Cloud Canaries are Independent agents that observe and manage cloud environments to notify, identify, quantify, predict and remediate. 

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