ManifestIT

The Challenge: Why Systems Break

Systems don't break on their own—changes break them. Today's Observability tools only detect symptoms (CPU spikes, failed requests), leaving change as the unobserved root cause of reliability risk.

Visibility Gap

Current tools cannot predict which changes are risky before deployment.
They do not provide full deployment traceability (Code → Infrastructure → Runtime Linkage).

Correlation Failure

Observability tools don't correlate alerts and incidents to the change that caused them.
Root Cause Analysis (RCA) is slow because of alert storms and a lack of immediate correlation.

Governance Risk

Current tools don't detect change drift or unauthorized changes.
Audits fail and manual reconciliations take hours due to a lack of accountability between delivery and production reliability.

The Solution: Change Intelligence Graph

Manifest treats "Change as an Observability Pillar". We ingest change signals from every system (code, config, runtime metrics, hybrid cloud events) to build a real-time "Change Intelligence Graph".

Manifest Capabilities:
Complete Lifecycle Coverage

Before Change

Predictive Change Risk Scoring

Analyzes blast radius and historical context to assign risk scores to changes before they happen, enabling safer deployments.

During Change

Continuous Change Event Streaming & Drift Detection

Real-time Observability of what's being modified, deployed, detecting unauthorized changes and enforcing change discipline.

After Change

Instant Issue to Change Correlation

Traces alerts and incidents back to the exact infrastructure or application change that occurred before them, removing manual investigation and speeding up root cause analysis.

Manifest: Bridging the ITSM/Observability Gap with AI

Manifest is moving toward autonomous understanding and resolution using AI to cut MTTR and boost deployment confidence.

Governance Advisor

Detects non-compliant changes in real time and suggests automated fixes.

Change Aware Alerting

Reduces alert noise by grouping and ranking alerts that share a common change cause.

Change Risk Predictor

Pre-deployment AI scoring to flag risky or non-compliant changes.

AI Change CopilotUpcoming

Conversational assistant for instant RCA, impact summaries, and change explanations.

Illustrative Use cases

Bridging the ITSM/Observability gap with AI. See how Manifest connects changes to outcomes autonomously.

Patch Misconfiguration

Faulty patch on vm-prod-01 triggers application errors.

Manifest links alerts to the change and recommends rollback.

Without ManifestHours spent digging through logs manually.

Unauthorized Change

Terraform removes multi-zone; services break unexpectedly.

Manifest flags drift and opens an Unauthorized Change ticket.

Without ManifestOutages discovered late and compliance gaps persist.

Deployment Regression

v2.1 increases p95 latency and CPU usage.

Manifest detects the anomaly and marks the deployment 'At-Risk'.

Without ManifestDashboards lag and root cause stays unclear.

AI Risk Check

Chatbot reviews LB IP change, finds past failures, warns of High Risk.

Manifest creates ServiceNow ticket with full context.

Without ManifestDecisions rely on intuition and tribal memory.