Observability platforms collect everything. Logs with customer emails and phone numbers. Traces containing session tokens and API keys. Metrics revealing proprietary business KPIs. RUM capturing user behavior and location data.

This comprehensive visibility creates a governance problem. Regulations require deleting customer data on request. Compliance frameworks mandate data minimization. Internal policies restrict who can access sensitive information. Audits demand proving what happened, when, and by whom.

Traditional observability platforms treat governance as an afterthought. Data scrubbing requires custom scripts. Access control operates at coarse account levels. Audit trails live in separate systems requiring manual correlation.

We built comprehensive data governance in Kloudfuse 3.5 because observability data deserves the same rigorous management as production databases.

Data Scrubbing Across All Streams

Kloudfuse 3.5 expands data scrubbing capabilities across all five telemetry streams: metrics, logs, APM traces, events, and RUM. This addresses the most basic governance requirement: the ability to delete specific data on demand.

GDPR's right to deletion requires removing customer data across all systems. A customer requests data removal. You need to identify every log line, trace span, metric data point, event, and RUM session containing their information. Then delete it. Then prove it's gone.

Kloudfuse's unified data lake architecture makes this operationally feasible. Apply filters identifying customer data—by user ID, email address, IP address, or any custom attribute. Preview exactly what will be deleted. Apply regex patterns to target specific records within log payloads or trace attributes.

Execute the scrubbing operation. The unified architecture processes deletion across all telemetry types simultaneously. Comprehensive audit trails capture every operation: what was deleted, which filters identified it, who authorized it, when it executed, and why.

Stream-Specific Access Control

Data governance extends beyond deletion to controlling who can access sensitive observability data in the first place. Kloudfuse 3.5 implements stream-specific RBAC policies that limit data visibility based on labels, tags, and custom attributes.

Development teams see logs and traces from their services without accessing other teams' data. Security teams maintain comprehensive access for investigations. Finance teams query aggregated metrics without viewing detailed traces containing sensitive information. This implements principle of least privilege for observability data.

Access policies integrate with identity provider synchronization and hierarchical organization to create comprehensive governance across the platform.

Identity Provider Synchronization and Hierarchical Organization

Access control at scale requires automation. Kloudfuse 3.5 automatically synchronizes groups and roles with SAML and OAuth 2.0 identity providers including Okta and Google. As organizational structure evolves in your identity provider, access controls stay current without manual updates.

An engineer joins the payments team. Their group membership updates. Kloudfuse automatically grants access to payment service telemetry. They transfer to infrastructure. Access shifts accordingly. They leave the company. Account deactivation immediately revokes all access.

Enterprise observability generates thousands of dashboards, alerts, and saved queries. Kloudfuse enables organizing these objects in hierarchical folder structures mirroring organizational complexity. RBAC policies apply at the folder level and inherit downward. Grant the payments team access to their folder—everything inside becomes accessible automatically. Private folders ensure sensitive investigations remain confidential.

Self-Ingested Audit Logging

Every configuration change in Kloudfuse generates audit logs. Dashboard edits. Alert modifications. RBAC policy updates. User authentication. Data scrubbing operations. All captured with timestamps, user identities, and detailed change information.

The power comes from self-ingestion. Audit logs ingest back into Kloudfuse itself, creating a queryable compliance trail using the same tools teams use for application logs.

Search audit logs with FuseQL: "Show me all RBAC policy changes in the last 30 days." "Who accessed production payment logs during the incident window?" Build dashboards showing configuration changes over time. Alert on suspicious access patterns—multiple failed authentication attempts, unusual data access, permission escalation attempts.

Correlate configuration changes with system behavior. A dashboard modification coincides with alert noise. An RBAC policy change explains why a team lost visibility. The audit trail becomes investigative context, not just compliance documentation.

Regulatory audits become straightforward. Auditors ask: "Who accessed patient data logs last quarter?" Run a FuseQL query against audit logs. Provide results in minutes with verifiable timestamps and user identities. Export for compliance documentation.

What This Enables

Comprehensive data governance makes observability data manageable under strict regulatory frameworks.

Healthcare companies comply with HIPAA data minimization. Scrub patient identifiers after investigations. Restrict access to authorized personnel. Prove to auditors exactly who accessed what data.

Financial services firms meet PCI compliance. Delete credit card tokens from traces after transactions. Limit payment processing telemetry access to certified personnel. Demonstrate data handling through audit trails.

Defense contractors manage classified information. Scrub classified details before sharing with vendors. Enforce access controls based on security clearances. Maintain government-standard audit trails.

SaaS companies comply with GDPR and CCPA. Honor customer deletion requests across all telemetry types. Implement data residency through granular access controls. Respond to regulatory requests with verifiable audit trails.

What We Built

Comprehensive data governance in Kloudfuse 3.5 delivers:

• Data scrubbing across all five telemetry streams with preview and audit trails

• Stream-specific RBAC policies using labels, tags, and custom attributes

• Automatic identity provider synchronization with SAML and OAuth 2.0

• Hierarchical folder organization with inherited permissions

• Self-ingested audit logging queryable with FuseQL

• Unified architecture enabling governance across all telemetry types

Observability data contains some of the most sensitive information in your infrastructure. It deserves governance capabilities matching production databases. Kloudfuse 3.5 makes that possible.

Learn more about data governance capabilities in Kloudfuse 3.5 in our launch announcement.