Cribl data pipeline mobile

The Observability Pipeline for best-in-class log analytics architectures.

Cribl LogStream is the only solution that is purpose-built for real-time log and metrics processing. And because we let you determine, at ingest time, what data is wanted/needed for analysis, you can collect any amount of data you want.

This includes data sources you never considered due to volume, complexity and capacity constraints like: network flow data, endpoint data, deep dive instrumentation, Kafka streams.

Syslog

Eliminate your dedicated syslog processing infrastructure and allow Cribl to be your universal aggregator of Machine Data. Cribl supports Syslog natively.

Flow/Netflow Logs

Flow logs are historically some of the most voluminous data out there. AWS VPC Flow Logs for example provide a ton of granular data, but they’re very expensive to process and store. Cribl’s Smart Sampling and Aggregation, paired with routing, make these data sources cost effective. New strategic use cases.

Kafka

Kafka has enabled a new category of event streaming. Cribl enables putting data originally destined for a log analytics tool like Splunk onto a Kafka bus and allows consumers of a Kafka topic to selectively bring in only the data that’s relevant to their use case.

Metrics

Metrics are vital for monitoring, but they suffer from the same problems as logs: agent fatigue, capacity anxiety, and lack of context. Cribl operates on metrics the same as logs to help control costs, limit cardinality bursts, and add vital context.

AWS

Cribl makes gathering data from AWS services simple with our supported Serverless Application, and our data control capabilities allows customers to manage the data in motion to bring in the most valuable data.

Windows

Microsoft Windows’ logs are notoriously verbose. Cribl’s out-of-the-box content for Windows logs trims overly verbose messages making room for more valuable use cases.

Syslog

Eliminate your dedicated syslog processing infrastructure and allow Cribl to be your universal aggregator of Machine Data. Cribl supports Syslog natively.

Flow/Netflow Logs

Flow logs are historically some of the most voluminous data out there. AWS VPC Flow Logs for example provide a ton of granular data, but they’re very expensive to process and store. Cribl’s Smart Sampling and Aggregation, paired with routing, make these data sources cost effective. New strategic use cases.

Kafka

Kafka has enabled a new category of event streaming. Cribl enables putting data originally destined for a log analytics tool like Splunk onto a Kafka bus and allows consumers of a Kafka topic to selectively bring in only the data that’s relevant to their use case.

Snowflake

Cribl allows customers to parse and reshape difficult log formats and easily land that data into a data lake like Snowflake.

AWS

Cribl makes gathering data from AWS services simple with our supported Serverless Application, and our data control capabilities allows customers to manage the data in motion to bring in the most valuable data.

Windows

Microsoft Windows’ logs are notoriously verbose. Cribl’s out-of-the-box content for Windows logs trims overly verbose messages making room for more valuable use cases.