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Splunk Cloud services

Splunk services for onboarding, observability, and control

We design and manage Splunk Cloud solutions that improve visibility, strengthen security monitoring, and keep data costs under control.

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🔍 Data Onboarding & Integration

  • Universal Forwarder deployment & configuration
  • Deployment Server setup & management
  • Data onboarding from Windows Event Logs
  • Data onboarding from SQL Server (audit, error logs, performance)
  • Data onboarding from MongoDB Atlas audit & profiler logs
  • Data onboarding from AWS (CloudWatch, S3, RDS logs)
  • Data onboarding from Azure / Microsoft 365 (Entra ID, audit logs)
  • HTTP Event Collector (HEC) integrations
  • Custom sourcetype & index design

🔄 Data Management & Edge Processing ⭐

Using Splunk Edge Processor and Splunk Data Management capabilities:

  • Filter unnecessary logs before ingestion (reduce costs)
  • Route specific data to different destinations
  • Mask or redact sensitive data (PII, credentials)
  • Transform and enrich data in-flight
  • Reduce noise and improve data quality
  • Send data to Splunk Cloud
  • Send data to S3 / archive storage
  • Send data to third-party platforms

💡 Ideal for high-volume environments where cost and control matter.

📈 Monitoring & Observability

  • Infrastructure monitoring (servers, CPU, memory, disk)
  • Database monitoring (SQL Server, MongoDB, RDS)
  • Log aggregation & centralised visibility
  • Real-time dashboards & alerting
  • SLA & uptime tracking
  • Cross-platform observability (on-prem + cloud)

🚨 Alerting & Incident Response

  • Intelligent alerting (threshold, anomaly-based)
  • Integration with OpsGenie
  • Integration with Email / Slack / Teams
  • Noise reduction & alert tuning
  • Incident workflows & escalation design

🔐 Security & Audit Monitoring

  • SQL Server Audit ingestion & monitoring
  • User activity tracking (logins, privilege changes)
  • Microsoft 365 & Entra ID monitoring
  • Suspicious activity detection
  • Audit dashboards for compliance reporting

⚙️ Performance & Cost Optimisation

  • Index & retention strategy design
  • Data volume reduction using Edge Processor
  • Search optimisation & SPL tuning
  • Storage & license usage optimisation
  • Role-based quota tuning (search limits, disk usage)