Case Study: Curve cuts observability costs 40% migrating from Datadog to Coralogix
Key results
The challenge
Rapid growth increased Curve's observability data volumes, and its Datadog deployment carried pricing that varied across services, creating budget uncertainty. High storage costs limited the team to about two weeks of data retention, constraining historical analysis.
The solution
Curve migrated to Coralogix and used its in-stream analysis and TCO Optimizer to route frequently queried data to indexed hot storage while sending less time-sensitive data to archive with remote query. The first team's log ingestion was migrated in one day, with rollout to all nine teams completed within about two months.
“With Coralogix we query from S3 with infinite retention so we can go back in time as much as we want.”
AGAntonio GiulianaStaff Engineer, Curve
The results, in context
Curve reports a 40% reduction in observability spend compared with Datadog, an average daily data volume of 8TB, and more than 80 engineers using the platform. The team also gained the ability to query from S3 with long retention.