Enterprise Asset Remediation Program

Overview

Enterprise-wide remediation initiative focused on improving platform hygiene, reducing operational and compliance risk, and establishing sustainable asset and data management standards across infrastructure and database environments.

This work spanned multiple remediation domains and required coordinated execution across infrastructure, observability, discovery, and data platform teams while operating alongside ongoing operational workloads.

Scope and Environment

This program addressed stale and orphaned assets across a heterogeneous enterprise technology landscape, including:

  • Infrastructure and compute assets discovered and monitored through Dynatrace

  • Service and dependency relationships surfaced via Service Graph connectors

  • Relational and non-relational database platforms, including:

    • Oracle

    • MongoDB

    • Microsoft SQL Server

    • DB2

    • PostgreSQL

The initiative required alignment across teams responsible for discovery, monitoring, database administration, and platform operations to ensure remediation efforts were accurate, coordinated, and sustainable.

Ownership and Responsibilities

  • Owned execution across multiple parallel remediation workstreams

  • Coordinated efforts between infrastructure, observability, discovery, and database teams

  • Designed and enforced a structured delivery approach spanning intake, validation, remediation, and verification

  • Managed cross-team dependencies, sequencing, and risk escalation

  • Maintained leadership visibility through structured, executive-ready reporting

Execution Approach

  • Consolidated fragmented remediation efforts into a single, coordinated delivery model

  • Established consistent intake and validation criteria to reduce false positives

  • Introduced execution tracking that emphasized trend-based improvement rather than point-in-time cleanup

  • Partnered with technical owners to clarify accountability across asset and data domains

  • Balanced remediation execution with live operational demands

Outcomes and Impact

  • Achieved measurable percentage reductions across:

    • Stale servers: 15% reduction

    • Stale databases: 10% reduction

    • Orphan records: 10% reduction

  • Improved accuracy and trust in asset and service data across platforms

  • Shifted remediation from reactive cleanup to an ongoing, governed process

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