Autonomous Operations Readiness Assessment

The Observability Maturity Model

Five stages. One closed loop.

See how applications progress from foundational observability to autonomous operations.

Monitor & collect

Foundation

Metrics, logs, and traces exist in one place, and the team trusts the data.

Unify & correlate

Observability

You can see how infrastructure and applications behave together, and find root cause.

Detect & predict

Intelligence

Once observability is trusted, the system starts finding patterns on its own.

Remediate & heal

Automation

Findings start triggering actions: playbooks, rollbacks, configuration changes, scaling.

Close the loop

Autonomous Operations

The system detects, diagnoses, acts, verifies the result, and feeds that outcome back in.

From Insight to Action

The technology behind the loop

Observability tells you what happened and why. Automation is what actually acts on it.

Detects, diagnoses, and verifies, the trust-the-signal half of the loop.

Ansible Automation Platform

Executes the fix once observability has done its job: the execution layer.

Why both matter: The closed loop needs both, in the right order.

Core Capabilities

Full-Stack Observability:

End-to-end visibility from mainframe to microservices to mobile with all telemetry (metrics, logs, traces, events) in context.

Davis® AI:

Advanced root cause analysis, anomaly detection, and remediation guidance at scale.

Out-of-the-Box Alert Coverage & Davis® AI:

Detects issues others miss by combining broad default alert coverage with causal AI to uncover problems before users notice.

Grail™ + DQL:

High-speed, schema-on-read querying of logs, events, business, and security data.

Application Security:

Real-time vulnerability detection, exploit prevention, and Kubernetes Security Posture Management (KSPM).

Custom Workflows:

Build tailored automation and platform extensions for unique business requirements.

Open Standards & Integrations:

Built-in support for OpenTelemetry, OpenSLO, and 750+ supported technologies.

Auto-Discovery & Auto-Instrumentation:

OneAgent® detects, instruments, and baselines every component automatically.

Auto-Baselining & Continuous Updates:

Learns “normal” behavior, adapts dynamically, and updates agents automatically to minimize maintenance.

Real-User & Synthetic Monitoring:

Advanced digital experience monitoring across web, mobile, and API layers.

Cloud-Native & Kubernetes Insights:

Real-time observability for microservices, serverless workloads, and container platforms.

What Closing the Loop Delivers

Examples of outcomes Arctiq has seen across customer environments when observability and automation work together. Results will vary.

75%

reduction in mean time to recovery (MTTR)

60%

fewer war rooms for incident response

40%

faster production update and DevOps delivery timelines