MANAGED SPLUNK

Enterprise Splunk Modernization & Ingestion Optimization via Conducive's Managed Splunk Program at UC Health

UC Health partnered with Conducive’s Managed Splunk Program to stabilize and modernize its Splunk environment, improve search performance, and manage ingestion spikes while supporting critical healthcare operations, compliance, and 24/7 security monitoring.

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Client:
UC Health
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Budget:
$125,000
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Duration:
12 months
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Team Size:
2

UC Health, a leading regional healthcare network, operates an enterprise Splunk environment supporting critical healthcare operations, compliance mandates, and 24/7 security monitoring. Facing imminent hardware lifecycles, unclustered infrastructure vulnerabilities, search performance degradation, and unpredicted log ingestion spikes threatening its 750 GB/day license capacity, UC Health engaged Conducive Consulting through its Managed Splunk Program (MSP) to stabilize, optimize, and modernize its data analytics platform. The initiative eliminated massive amounts of ingestion noise through custom preprocessing scripts and log filtering,upgraded the platform to Splunk 10.4, resolved chronic data model and search failures, and architected and deployed a resilient multi-node Indexer Cluster. The engagement delivered complete ingest stability, enterprise high availability, and long-term infrastructure scalability without impacting clinical workflows or security operations.

Challenge

UC Health faced compounding operational, capacity, and architectural challenges across its logging and security infrastructure:

1. Ingestion Volatility and License Overrun Risks

  • Surging Log Volumes: Massive, unexpected spikes in Windows Event Logs, DNS feeds, and Palo Alto firewall traffic pushed the platform close to its 750 GB/day license threshold.
  • Payload Inefficiencies: High-volume Windows logs contained verbose informational strings, while Imprivata single sign-on logs lacked efficient preprocessing, inflating index storage and driving unnecessary licensing costs.

2. Architectural Fragility & Single Points of Failure

  • Unclustered Indexers: The core indexing tier relied on four standalone physical indexers without indexer clustering. This prevented automatic failover, limited search load distribution, and presented severe data loss risks during hardware failure.
  • Hardware Lifecycle Limitations: Existing physical hardware was evaluated as unable to sustain projected enterprise growth beyond 12–18 months, requiring a comprehensive migration plan to high-performance virtualized infrastructure.

3. Search Degradation & Platform Instability

  • Skipped Searches & Acceleration Bottlenecks: Aggressive data model acceleration and unoptimized correlation searches triggered search head backlog, leading to frequent skipped scheduled searches and out-of-memory (OOM) errors.
  • Syslog Pipeline Malfunctions: Syslog-ng filters frequently routed incoming events to internal unknowndirectories, and Linux automatic sourcetyping issues hindered data normalization for critical feeds (including Epic and Microsoft Security integrations).

4. Technical Debt & Management Gaps

  • The core platform lagged behind the current release cadence, requiring an upgrade to Splunk Enterprise 10.4 while preserving continuous integrations with ReliaQuest GreyMatter and the DMZ Heavy Forwarder.

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Solution

Delivered continuously through the Managed Splunk Program, Conducive structured a four-phase modernization roadmap executed collaboratively alongside UC Health’s internal engineering team. The MSP model allowed for flexible, on-demand engineering hours to tackle these concurrent workstreams.

Phase 1: Ingestion Governance, Noise Filtering & Data Preprocessing

  • Windows Event Log Optimization: Analyzed log payloads and implemented ingestion filters on forwarders to strip non-actionable informational text, slashing indexing overhead without sacrificing security visibility.
  • Imprivata Script Optimization: Designed and delivered an event preprocessing script. Initially scoped in Python, the tool was rewritten in native PowerShell to integrate seamlessly with the Windows server ecosystem,optimize file parsing order, and curb downstream indexing overhead.
  • Network & DNS Noise Reduction: Filtered redundant DNS query events and restructured Palo Alto index retention policies to prevent historical, out-of-retention data from consuming active hot/warm storage.

Phase 2: Pipeline Remediation & Splunk 10.4 Enterprise Upgrade

  • Syslog Pipeline Hardening: Corrected splunkforwarder system service permissions, debugged syslog-ng filtering rules, and resolved Linux automatic sourcetyping errors that misdirected EHR and system events.
  • Search Scheduler Optimization: Tuned data model acceleration schedules and indexing queues, eliminating skipped searches and freeing search head capacity for SOC analysts.
  • Splunk 10.4 Enterprise Upgrade: Prepared and executed an end-to-end upgrade to Splunk Enterprise 10.4 through formal change control, including pre-upgrade app readiness reviews, indexer discovery validation, and resolution of DMZ Heavy Forwarder connectivity to the license manager.

Phase 3: Resiliency, Ingestion Governance & Proactive Alerting

  • Telemetry & Ingestion Alerts: Built real-time alerting monitors to instantly alert administrators when hosts cease transmitting to the _internal index, safeguarding against silent agent drop-offs.
  • Ingest Spike Protection: Deployed automated alerts on the License Manager to identify sudden ingestion volume abnormalities before they caused license violations.
  • Storage Performance Validation: Evaluated disk I/O architectures (comparing SSD, NFS, and S3 tiers) using standardized IOPS testing scripts to ensure storage performance matched indexer write demands.

Phase 4: Indexer Cluster Architecture & Platform Migration

  • Target Architecture Design: Produced architectural sizing models, filesystem layouts, and network port diagrams for a fully virtualized, highly available environment.
  • Cluster Deployment: Deployed and provisioned a distributed Indexer Cluster, configured the Cluster Master (Manager Node) and deployment applications, and validated indexer discovery mechanisms.
  • Migration Verification: Conducted extensive server build iterations (43 hours delivered in October 2026 alone),validated data migration tools, and verified VDI administrative connectivity to ensure seamless cutover.

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Results

1. Cost Containment and License Protection

By stripping non-essential informational text from high-frequency Windows Event Logs, optimizing DNS event ingestion, and deploying a tailored PowerShell preprocessing engine for Imprivata authentication feeds, UC Health curbed runaway log expansion. These actions safeguarded the organization against costly license tier overages, keeping daily operations comfortably below the 750 GB/day threshold.

2. High Availability and Disaster Resilience

Transitioning from four unclustered standalone indexers to a clustered indexer architecture transformed UC Health’s security data tier from a brittle environment into an enterprise-grade, highly resilient topology. Data replication and indexer discovery now provide seamless failover, ensuring that indexing and threat detection continue uninterrupted even during host failures or maintenance windows.

3. Elevated Search Performance & SOC Responsiveness

Resolving data model acceleration conflicts and eliminating skipped scheduled searches restored search head efficiency.Security analysts and operational teams gained faster search response times on mission-critical dashboards—including Palo Alto Threat Trend views and Microsoft Security modules—while maintaining feeding lines to ReliaQuest GreyMatter for coordinated SOC detection.

4. Future-Proof Infrastructure Roadmap

Leveraging the ongoing support of the Managed Splunk Program, the organization now operates on a modern, documented architecture built to scale alongside future clinical applications and expanding hospital networks.

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