Eon Log Space is an archive and search layer for logs built on the same cloud-native storage platform that powers Eon’s backup data vaults. It automatically detects supported log datasets across sources like AWS CloudTrail, AWS CloudWatch, Datadog, and Splunk DDSS, converts them into structured Parquet tables, and builds a full-text index directly on archive storage. As a result, archived logs remain instantly queryable without restore workflows, rehydration pipelines, or dedicated indexing infrastructure.
The Challenge with Long-Term Log Retention: Searchability vs. Cost
Security teams, SREs, and compliance auditors rely on logs for investigations, incident response, and retention requirements. But keeping logs searchable beyond a few weeks is expensive, and archiving them to object storage typically makes them harder to query. As a result, most organizations face a tradeoff: keep logs searchable in SIEM platforms at high cost, or archive them cheaply to object storage and lose direct query access.
Logs are often retained for months or years, but in practice only a small window remains instantly searchable. Older logs usually require restore workflows before they can be queried, slowing investigations and increasing operational overhead and costs. This leads to a persistent gap between what teams retain and what they can actually access when it matters most.
How Eon Turns Archived Logs into Instantly Searchable Infrastructure
Eon Log Space removes this tradeoff by making archived logs instantly searchable. Log Space automatically discovers supported log datasets from S3 backup manifests and registers them as searchable resources. Logs are partitioned by time to accelerate investigations, then parsed from native formats and converted into structured Parquet tables with a full-text index for fast Lucene-style search across months or years of history.
Instead of treating archives as cold storage, Log Space creates a persistent search layer across your entire log history. Teams can move seamlessly between investigation and analytics workflows while keeping logs in low-cost object storage and preserving instant searchability.
Key benefits of Eon Log Space:Â
- Automatic source discovery: Log Space detects supported log datasets directly from S3 backups and makes them searchable automatically.
- Full-text search across archived history: Run Lucene-style queries across months or years of logs without restores or indexing pipelines.
- Unified search across environments: Query sources like AWS CloudTrail, AWS CloudWatch, Datadog, Splunk DDSS, and more from a single UI.
- Searchable retention at object-storage economics: Keep long-term log history searchable without paying to keep it in expensive SIEM platforms.
- Zero-ETL ingestion: Logs are automatically structured and indexed by Eon. No pipelines to build or maintain.
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Learn more
Eon Log Space is currently in early access and will become generally available in the coming months. Schedule a demo to learn more and see it in action.
