Endpoint Telemetry & Analytics

Real-time endpoint telemetry collection and analytics — CPU, memory, disk, network metrics with anomaly detection, predictive failure analysis, and automated remediation recommendations for fleet-wide trends.

Within the Endpoint Management zone, Endpoint Telemetry & Analytics represents a critical operational capability that DevOps AI delivers through its unified platform. This process area operates at HITL Gate Level L0 (Fully Automated), meaning AI executes fully autonomously with comprehensive audit logging — no human approval required for routine operations.

DevOps AI implements Endpoint Telemetry & Analytics as a fully integrated workflow within the Endpoint Management zone. When deployed from the Azure Marketplace, this process area is automatically provisioned with role-appropriate dashboards, notification rules, and automation policies tailored to your MSP's operational requirements.

Workflow Architecture

The Endpoint Telemetry & Analytics workflow follows DevOps AI's standard event-driven architecture. Events are ingested through the platform's connector framework — pulling data from PSA tools (ConnectWise, Datto Autotask, HaloPSA), RMM platforms (NinjaRMM, Datto RMM), and Microsoft 365 tenants — then processed through the AI inference pipeline before reaching the L0 gate for automated execution.

Multi-Tenant Isolation

Every operation within Endpoint Telemetry & Analytics respects DevOps AI's zero-trust multi-tenant architecture. Client data is isolated at the Azure tenant level, encrypted at rest with customer-managed keys, and processed within geo-fenced compute boundaries. No cross-client data leakage is possible — even AI models are trained on anonymized, aggregated patterns rather than raw client data.

Endpoint Telemetry & Analytics is classified at HITL Gate Level L0, which defines exactly when AI acts autonomously and when human judgment is required. This classification was determined through risk analysis of the process area's blast radius, reversibility, and compliance implications.

Why L0?

Telemetry collection and analytics are passive, read-only operations. AI continuously analyzes endpoint health and identifies trends with comprehensive audit trails — fully automated with no intervention needed.

Endpoint Telemetry & Analytics does not exist in isolation — it integrates with other process areas across the Endpoint Management zone and the broader DevOps AI platform through the event mesh architecture. Actions in this process area can trigger workflows in related zones, and events from other zones can feed into Endpoint Telemetry & Analytics operations.

Connector Framework

DevOps AI's connector framework provides bi-directional integration with the tools MSPs already use. For Endpoint Telemetry & Analytics, this typically includes PSA platforms (ConnectWise Manage, Datto Autotask, HaloPSA), Microsoft Graph API (Azure AD, Intune, Defender), and specialized third-party tools relevant to Endpoint Management operations. All connectors are managed through the platform's Marketplace zone — install once, available everywhere.

Analytics & Reporting

Every operation within Endpoint Telemetry & Analytics generates structured telemetry that feeds into the Analytics zone. Dashboards provide real-time visibility into process area health, throughput, error rates, and HITL override frequency. Over time, the AI models learn from human overrides to improve future recommendations — creating a continuous improvement loop that makes Endpoint Telemetry & Analytics more accurate with every interaction.

Audit Trail

Complete audit provenance is maintained for every action within Endpoint Telemetry & Analytics. This includes the triggering event, AI analysis results, HITL gate decisions (including who approved and when), execution outcomes, and any rollback actions. Audit data is immutable, tamper-evident, and exportable in OSCAL format for compliance evidence collection.