18609987. Data Streaming Service with Virtualized Broker Clusters simplified abstract (Amazon Technologies, Inc.)

Data Streaming Service with Virtualized Broker Clusters

Organization Name

Amazon Technologies, Inc.

Inventor(s)

Sayantan Chakravorty of Sammamish WA (US)

Nagarjuna Koduru of Snohomish WA (US)

Nabanita Maji of Kenmore WA (US)

Vijaya Rama Reddy Kistampalli of Bothell WA (US)

Sankalp Bhatia of Santa Clara CA (US)

Sahil Dorwat of Mountain View CA (US)

Data Streaming Service with Virtualized Broker Clusters - A simplified explanation of the abstract

This abstract first appeared for US patent application 18609987 titled 'Data Streaming Service with Virtualized Broker Clusters

Simplified Explanation:

The patent application discloses systems and methods for providing virtualized broker clusters for a data streaming service, allowing for automatic scaling and rebalancing of resources transparently to clients.

• Uses front-end proxy layer and back-end broker layer
• Provides virtualized broker clusters in a Kafka-based streaming service
• Monitors and scales resources automatically
• Transparent to data producing and consuming clients

Key Features and Innovation:

• Virtualized broker clusters for data streaming service
• Automatic scaling and rebalancing of resources
• Front-end proxy layer and back-end broker layer architecture
• Transparency to clients in resource management
• Utilizes Kafka-based streaming service

Potential Applications:

• Data streaming services
• Real-time data processing
• Cloud computing environments
• IoT applications
• Big data analytics

Problems Solved:

• Manual scaling and resource management
• Inefficient resource allocation
• Lack of transparency in resource management
• Scalability issues in data streaming services
• Complex architecture management

Benefits:

• Improved resource efficiency
• Automatic scaling for dynamic workloads
• Transparent resource management
• Enhanced scalability for data streaming services
• Simplified architecture management

Commercial Applications:

Virtualized broker clusters for data streaming services can be utilized in various industries such as finance, e-commerce, healthcare, and telecommunications to enhance real-time data processing, improve scalability, and streamline resource management.

Questions about Virtualized Broker Clusters: 1. How do virtualized broker clusters improve resource management in data streaming services? 2. What are the key benefits of using a Kafka-based streaming service for virtualized broker clusters?

Frequently Updated Research:

Stay updated on the latest advancements in virtualized broker clusters for data streaming services to ensure optimal performance and efficiency in resource management.

Original Abstract Submitted

Various embodiments of systems and methods for providing virtualized (e.g., serverless) broker clusters for a data streaming service are disclosed. A data streaming service uses a front-end proxy layer and a back-end broker layer to provide virtualized broker clusters, for example in a Kafka-based streaming service. Resources included in a virtualized broker cluster are monitored and automatically scaled-up, scaled-down, or re-balanced in a way that is transparent to data producing and/or data consuming clients of the data streaming service.