Level-Up Real-time Go Applications with Ringbuffers - Fawaz Ghali

Discover how ring buffers can elevate your Go applications for real-time data processing, scalability, and high availability. Learn about their use cases, benefits, and implementation with Hazelcast.

Key takeaways
  • Ring buffers are memory structures used for fast data storage and stream processing.
  • They are particularly useful for large-scale applications that require real-time processing of high volumes of data.
  • Ring buffers can be used to store complex data structures, including those with nested objects and arrays.
  • Serialization is important for efficiently storing and transmitting data in a ring buffer.
  • Ring buffers can be used in conjunction with machine learning and data analytics to provide real-time insights and predictions.
  • They can be deployed on multiple nodes and clusters for scalability and high availability.
  • Ring buffers can be integrated with Go applications using the Hazelcast client library.
  • The Hazelcast ring buffer provides features such as replication, partitioning, and failover for high availability and scalability.
  • Ring buffers can be used to implement stream processing pipelines, where data is processed as it arrives in the buffer.
  • They can be used to perform data enrichment, transformation, and filtering in real time.
  • Ring buffers can be used to connect different microservices and applications, enabling real-time data exchange and processing.