Data Stream
Power your big data, stream processing, SIEM, and serverless application platforms with near real-time data analytics.
How it works
Multi-source event data collection
Data Stream automatically gathers event logs from Activity History, Edge Applications, Edge Functions, and WAF Events.
The system processes and filters specific products and domains based on predefined monitoring parameters.
Users can select specific variables from available datasets through preset templates or custom template configuration.
Pipeline architecture and data processing
The platform establishes secure, high-performance pipelines for continuous data streaming to external systems.
Built-in data sampling controls transmission volume while protocol support enables integration with multiple destination types simultaneously.
Stream processing engine handles real-time filtering and transformation before data reaches external analytics platforms and SIEM tools.
Multi-platform integration and data delivery
Data Stream transmits structured event data through multiple connector types including AWS Kinesis, Splunk, S3, BigQuery, and Standard HTTP endpoints for platform integration.
Advanced payload customization enables data sampling, template selection, and format adaptation for different platforms and analytics requirements.
Built-in delivery controls manage data packaging and transmission timing based on 2,000 record thresholds or 60-second intervals across distributed infrastructure.
Learn how you can benefit from our platform.
Extended storage
Essential for in-depth analysis, identifying historical trends, and thoroughly investigating past incidents to enhance security.
Compliance and auditing
Maintain detailed logs to ensure compliance with industry regulations and support auditing processes.
Performance monitoring
Collect log data to manage applications and infrastructure, optimize performance, and monitor the health of edge compute, DNS, and delivery systems for troubleshooting.
Integration with Edge Storage
Seamlessly back up data via the S3 connector for secure storage and easy retrieval, enhancing data protection and accessibility.
Business Intelligence and trends
Easily integrate access log data with third-party analytics tools to uncover insights, track trends, and make informed decisions based on performance and traffic metrics.
Machine Learning adoption
Build a historical database to support machine learning adoption, providing extensive, high-quality data for model training and improving prediction accuracy.
Trusted by market leaders in banking, e-commerce, technology, and other industries.
Customizable template
Select specific variables for transmission to ensure relevant data is processed, reducing noise and improving efficiency.
Personalized payload
Data Stream adapts data for different platforms, ensuring compatibility, optimizing integration, and enhancing overall data usability and efficiency.
Data sampling
It allows sending a percentage of logs to reduce data volume and costs while still providing valuable insights for analysis.
Data integration
Integrate log data with other analytics tools, creating a unified platform for comprehensive analysis and deeper insights into system performance and user behavior.
Custom-made connector
Customize the Standard Connector to send packages to multiple platforms, improving flexibility and streamlining data management.
Global edge data access
Reliable access to data from Edge Platform worldwide, optimizing latency and enhancing security across multiple locations for seamless and efficient management.
Sign-up and get $300 to use for 12 months.
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Credit available to use for 12 months