Azure Event Hub Connector
Configure the Azure Event Hub connector to stream event data from Azure Event Hubs into Edge Delta Pipelines for analysis by AI teammates.
less than a minute
Streaming connectors are data ingestion connectors that continuously stream telemetry data into Edge Delta Pipelines (environments). They:
These connectors add data sources to Edge Delta Pipelines, enabling AI teammates to query that telemetry data through the Edge Delta MCP connector.
How AI Teammates Access This Data: AI teammates access telemetry data from streaming connectors through the Edge Delta MCP connector. The streaming connector sends data into your Edge Delta pipeline where it is processed and stored. AI teammates then query this data from the Edge Delta backend for analysis and investigation.
Configure the Azure Event Hub connector to stream event data from Azure Event Hubs into Edge Delta Pipelines for analysis by AI teammates.
Configure the CrowdStrike FDR connector to stream endpoint detection and response data into Edge Delta Pipelines for security analysis.
Configure the Datadog Agent connector to receive metrics, logs, and traces from Datadog agents using the native Datadog protocol.
Configure the Docker Logs connector to collect container logs from Docker environments for analysis by AI teammates.
Configure the Exec connector to collect output from periodically executed commands and scripts for analysis by AI teammates.
Configure the File connector to monitor and collect log data from files and directories for analysis by AI teammates.
Configure the FluentD connector to receive logs and events from Fluentd agents using the forward protocol for unified logging aggregation.
Configure the HTTP Pull connector to periodically fetch data from REST APIs and HTTP endpoints with support for dynamic parameters, pagination, and authentication.
Configure the HTTP(S) connector to receive logs, metrics, and telemetry data pushed to HTTP/HTTPS webhook endpoints from applications and services.
Configure the JournalD connector to collect systemd journal logs from Linux systems for analysis of system events, service logs, and kernel messages.
Configure the Kafka connector to collect streaming telemetry data, application logs, and event streams from Apache Kafka topics for AI-powered analysis.
Configure the Kubernetes Events connector to monitor cluster events for AI-powered analysis of pod lifecycle changes, resource issues, and cluster operations.
Configure the Kubernetes Logs connector to collect container logs from Kubernetes pods for AI-powered analysis of application behavior and cluster operations.
Configure the OTLP connector to collect logs, metrics, and traces from applications instrumented with OpenTelemetry for AI-powered observability.
Configure the Pub/Sub connector to collect messages from Google Cloud Pub/Sub subscriptions for AI-powered analysis of application logs, events, and real-time data.
Configure the S3 connector to collect logs and data files from Amazon S3 buckets for AI-powered analysis of archived logs, data lakes, and object storage.
Configure the SNMP Pull connector to collect metrics from network devices, servers, and SNMP-enabled equipment for AI-powered analysis of infrastructure health and performance.
Configure the SNMP Trap connector to receive SNMP trap notifications from network devices, servers, and infrastructure equipment for AI-powered analysis of alerts and events.
Configure the Splunk HEC connector to receive HTTP Event Collector formatted data from applications, cloud services, and webhooks for AI-powered analysis.
Configure the Splunk TCP connector to receive data from Splunk Universal Forwarders and Heavy Forwarders for AI-powered analysis of Splunk-instrumented infrastructure.
Configure the Syslog connector to receive system logs, network device events, and application messages via RFC 3164 and RFC 5424 protocols for AI-powered analysis.
Configure the TCP connector to receive logs, metrics, and telemetry data sent via TCP protocol streams from applications, systems, and network devices for AI-powered analysis.
Configure the UDP connector to receive logs, metrics, and telemetry data sent via UDP datagrams from applications, systems, and network devices for AI-powered analysis.
Configure the Windows Events connector to collect Windows Event Log data from servers and workstations for AI-powered analysis of system events, application logs, and security events.