1. Your SIEM bill keeps climbing but nothing changed
Data volumes grow 50 percent year over year on average. If your architecture sends everything to the SIEM, your costs grow at the same rate. A pipeline layer routes only high-value data to expensive analytics tiers.
2. Onboarding new data sources takes weeks
Each new source requires custom parsing, field extraction, and testing in the SIEM. A pipeline layer handles normalization upstream so the SIEM receives pre-parsed, schema-mapped events from day one.
3. Your team spends more time on parsing config than analysis
When Splunk administrators spend 60 percent of their time maintaining props.conf and Technology Add-ons, that is an architecture problem. Pipeline-based normalization eliminates source-by-source parsing configuration inside the SIEM.
4. You cannot test a new platform without a full migration
Vendor lock-in means evaluating a replacement requires months of parallel infrastructure. A pipeline layer routes to multiple destinations simultaneously, letting you test alternatives with live data while production continues unchanged.
5. Compliance retention costs more than it should
Storing 7 years of logs in a SIEM for compliance is prohibitively expensive. A pipeline layer archives to S3 at pennies per GB and provides search capabilities through tools like Cribl Search for investigation and audit without rehydration.