Cribl Stream for Splunk
Shares tags: integrations, observability, splunk
AI Tool
Optimize Your Splunk Experience
Unlock the full potential of your telemetry data with Cribl Stream
Reduce CPU usage and infrastructure costs while enhancing Splunk search performance.Handle billions of events per second with petabyte-scale throughput and low latency.Seamlessly integrate and preprocess data at the source with Cribl Edge for maximum efficiency.
Tags
IntegrationsObservabilitySplunk
Similar Tools
Compare Alternatives
Other tools you might consider
overview
What is Cribl Stream for Splunk?
Cribl Stream for Splunk is a powerful data pipeline solution that routes, shapes, and enriches telemetry data before it reaches your Splunk indexes. Designed for organizations facing complex data environments, it's the tool you need to streamline observability and security data management.
- Optimize data payloads for improved search performance.
- Preprocess data to minimize bandwidth and ingestion loads.
- Flexible architecture for both on-prem and cloud deployments.
features
Key Features
Cribl Stream offers a modular approach that enhances your Splunk deployment through intelligent data handling. From filtering log data to converting it into metrics or time series, Cribl Stream ensures that only actionable information flows into your Splunk environment.
- Real-time data filtering and enrichment.
- Compatibility with the broader Cribl Suite (Edge, Search, Lake).
- Sub-millisecond latency for prompt analytics.
use_cases
Use Cases
Cribl Stream is ideal for IT and security teams working with large volumes of diverse data. Whether you are managing hybrid environments or planning a complex Splunk cloud migration, Cribl Stream provides the control and flexibility needed to improve operational efficiency.
- Migrate to Splunk cloud with confidence.
- Reduce Splunk licensing costs effectively.
- Enhance observability across hybrid architectures.
Frequently Asked Questions
How does Cribl Stream improve Splunk performance?
By preprocessing and filtering data before it reaches Splunk, Cribl Stream reduces CPU load and infrastructure costs, while optimizing search performance.
Can Cribl Stream handle large data volumes?
Absolutely. Cribl Stream is built for petabyte-scale throughput, capable of processing billions of events per second with minimal latency.
What is the benefit of integrating Cribl Edge?
Integrating Cribl Edge allows for data processing right at the source, which minimizes bandwidth and ingestion loads, further alleviating infrastructure strain.