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WCF Diagnostics Tracing, FAQ, Troubleshooting, Common Questions WCF Diagnostics Tracing, FAQ, troubleshooting, common questions 12. How does Nodinite handle high-volume WCF environments (100K+ events/day)?

12. How does Nodinite handle high-volume WCF environments (100K+ events/day)?

12. How does Nodinite handle high-volume WCF environments (100K+ events/day)?

Architecture optimization for high throughput:

  • Multiple Pickup Service instances - Deploy 3-5 Pickup Services reading from same WCF trace folder (load balancing via file system locking, each service picks different files)
  • SQL Server partitioning - Partition Log Databases by Message Type or month (faster queries, parallel maintenance)
  • Batch consumption - Pickup Service reads 1000 trace files per batch, bulk insert to Log API (reduces network round-trips)
  • Asynchronous processing - WCF trace file write + Pickup Service consumption + Log API storage are decoupled (no blocking, no backpressure)
  • Database indexing - Clustered indexes on Message Type + Timestamp, non-clustered indexes on Search Fields (Order Number, Customer ID), full-text indexes on SOAP payloads
  • Archival strategy - Move old events to cold storage (Azure Blob, AWS S3) after 2 years, keep searchable metadata in SQL (compliance + cost optimization)

Production example: Healthcare company logs 180K WCF events/day (12 services × 15K transactions/day average) = 5.4M events/month. 5 Pickup Services (1 per IIS server), SQL Server Enterprise with partitioning (6-month partitions), 2TB database (compressed), 7-year retention. Query performance: Order Number search on 65M events = 0.8 seconds average. Infrastructure cost: $12K/year (SQL Server license + storage) vs. $180K/year Splunk equivalent.

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