Multiple Data Sources
Pull from REST APIs, tail log files, or receive syslog events. Normalize everything into a searchable, queryable index.
Pipeline-based data ingestion, search, and analytics for operations teams. Ingest from REST APIs, flat files, and syslog — then query, visualize, and alert without standing up a heavy analytics stack.
A complete data pipeline from ingestion to analysis, lightweight enough to run anywhere.
Pull from REST APIs, tail log files, or receive syslog events. Normalize everything into a searchable, queryable index.
Filter, transform, and aggregate data using a pipeline query language. Search-time and index-time field extraction included.
Build operational dashboards from your data. Track metrics, visualize trends, and share views with your team.
Define alert conditions on your data pipelines. Get notified when things go wrong before your users do.
Docker Compose for standard deployments. Automated packaging via bootstrap.py for air-gapped or fully offline environments.
Extend Delve with custom application modules. Build specialized workflows on top of the ingestion and search infrastructure.
Delve gives operations teams the visibility they need without the enterprise SIEM overhead.
Ingest logs and metrics from your infrastructure. Build dashboards that tell you what’s happening right now — without shipping data to a cloud service.
Collect and query security events from DataPower, API gateways, and application servers. Lightweight enough to run alongside your existing tooling.
Ingest API responses or exported data for validation and troubleshooting. Spot anomalies and inconsistencies before they cause production issues.
Delve is AGPL-3.0 open source. McIndi offers commercial support for organizations that need production SLAs, custom integrations, and hands-on onboarding.