LogHouse Editorial · Published 2026-08-04 · Updated 2026-09-10 · 8 min read
The Real Cost of Storing 1 TB of Logs Per Day
What 1 TB/day of logs really implies for ingest, retention, and search—and how to estimate a LogHouse bill without inventing competitor prices.
The short answer
One terabyte per day is about 30 TB per 30-day month. The invoice is driven by whether that volume is indexed at observability rates, archived and rehydrated, or stored on analytical infrastructure that stays searchable. LogHouse’s public calculator uses a list rate of $0.15 per GB ingested so you can estimate the LogHouse side; enter your current spend to compare rather than relying on made-up competitor totals.
Volume math
1 TB/day × 30 days = 30,000 GB/month. At $0.15/GB ingested, the LogHouse estimate is $4,500/month before committed discounts or plan minimums. That figure is a planning number from a published list rate, not a contract.
Annualized, the same stream is 365 TB. Retention of 30 versus 90 days changes how much data is online, which is why retention policy is part of cost even when ingest is the primary meter.
Where traditional bills explode
Observability platforms often charge separately for ingest, indexing, and retention, then add archive or rehydration when you try to keep history. 1 TB/day of verbose application logs is a common way to outrun a metrics-and-APM contract that looked reasonable at smaller volume.
Estimate with your numbers
Use the LogHouse calculator: set daily volume, retention, and optional current spend. We do not publish fictional Datadog or Splunk totals. Your invoice is the only honest baseline.