Log Volume & Spend Audit
Measure repetitive log volume, calculate SIEM cost reduction, and inspect folded rollup records.
Privacy: This audit runs client-side via WebAssembly. Logs are processed entirely in memory and never sent to a server. You can verify this in your browser's Network tab.
Drop a log file here or click to browse
Supports JSON, JSONL, and gzip (.json, .json.gz, .log, .log.gz)
AWS CloudTrail
AWS VPC Flow Logs
Kubernetes JSONL
Application Logs (Pino, Winston, Logrus)
CrowdStrike Falcon FDR
Analyzing log file...
Reading events into sliding window...
Audit Results
Volume Reduction
0.0%
0 of 0 events deduplicated
Analyzed Events
0
0.0 MB uncompressed
S3 Vault Retention
8.4x Ratio
100% Lossless Parquet Retention
Security Fidelity
100%
Errors and security logs preserved
Top Repeated Event Patterns
Frequent high-volume patterns folded into summary rollups:
| Rank | Event Pattern / Service | Events | Share |
|---|
Cost Reduction Calculator
Estimate your savings based on current monthly SIEM or log management spend:
$
/ month
e.g. Datadog, Splunk, Sumo Logic, or CloudWatch
Optional Volume & Rate Breakdown:
GB/mo
$
/GB
Estimated Annual Savings
$0 / yr
Estimated savings: $0 / mo (0.0% reduction)
Current Annual Spend:
$60,000 / yr
Avoided Ingestion (0.0%):
-$2,935 / mo
S3 Cold Storage (compressed Parquet):
+$4.06 / yr
Projected Annual Spend:
$24,780 / yr
Sample Emitted Rollup Record
Structured SummaryRepeated events within each time window are folded into a single structured summary record containing counts, timestamps, and latency statistics. Errors, security events, and non-200 responses bypass folding and are forwarded verbatim.
Rollup Record (JSON)
{ ... }
Storage & Retention
✓ Raw Archive in S3: All folded raw events are written to your S3 bucket in compressed Parquet format for compliance.
✓ Fast Historical Queries: Query archived logs directly via DuckDB or Athena without SIEM re-ingestion fees.
✓ In-VPC Execution: Runs inside your VPC. Telemetry never leaves your environment and incurs no transfer fees.