Intent Assurance

The assurance loop relies on high-frequency streaming telemetry from every device in the network fabric. Unlike traditional SNMP polling, modern intent assurance uses model-driven telemetry pushed via gRPC or NETCONF to capture granular state data—interface counters, queue depths, and latency metrics—at sub-second intervals. This real-time data stream forms the single source of truth for validation.

• Uses gRPC Network Management Interface (gNMI) for structured data
• Ingests millions of data points per second in large-scale fabrics
• Enables detection of microbursts invisible to 5-minute polling cycles

Intent drift occurs when the network's operational state diverges from the declared intent—for example, when a link degradation causes latency to exceed a defined SLO. The assurance engine continuously evaluates streaming telemetry against the intent state machine, using rule-based thresholds and machine learning anomaly detection to identify both hard violations and subtle degradation patterns before they impact users.

• Compares actual path latency against declared SLO thresholds
• Detects configuration drift caused by manual out-of-band changes
• Uses dynamic baselining to distinguish normal fluctuations from true anomalies

When drift is detected, the assurance function does not simply generate an alert—it triggers a remediation workflow within the closed-loop system. This can range from re-routing traffic around a congested link to rolling back an unauthorized configuration change. The remediation action is logged with full audit trail context, including the specific telemetry that triggered the response and the corrective action taken.

• Executes pre-approved playbooks for known failure patterns
• Escalates to human operators only when confidence thresholds are not met
• Maintains immutable remediation logs for compliance reporting

Intent assurance generates continuous compliance dashboards that map real-time network performance against every active service-level objective. Rather than reporting raw metrics, the system calculates error budgets—the remaining allowable deviation before an SLO is breached—giving operations teams a predictive view of risk. This shifts network monitoring from reactive alerting to proactive risk management.

• Tracks error budget burn rate for each declared intent
• Provides per-tenant compliance views in multi-tenant environments
• Generates auditable reports for regulatory SLA verification

Every intent under assurance management is governed by an intent state machine that defines its valid lifecycle stages: Created → Validated → Fulfilled → Assured → Modified → Retired. The assurance function enforces valid transitions—preventing, for example, a modification to an intent that has not passed pre-deployment validation. This formal state tracking ensures that no intent operates outside its defined governance boundaries.

• Prevents zombie intents from persisting after decommissioning
• Enforces change management gates before state transitions
• Integrates with CI/CD pipelines for intent-as-code workflows

Before any remediation action is executed, the assurance engine performs conflict analysis to ensure that correcting one intent violation does not create a new violation elsewhere. For example, re-routing traffic to satisfy a latency SLO might violate a bandwidth guarantee on the alternate path. The system uses constraint satisfaction algorithms to evaluate the network-wide impact of any proposed corrective action.

• Models inter-intent dependencies as a constraint graph
• Uses what-if simulation to preview remediation outcomes
• Employs priority-based arbitration when conflicts are unavoidable