Big Data Teaching Assistant at Center for Cloud Computing and Big Data, PES University
Real User
Top 5
2024-10-25T14:11:00Z
Oct 25, 2024
I have worked with Redpanda for the past two to three months. Mainly in the tech industry or software industry, there's a huge rise of streaming data. Redpanda serves as a very reliable and fast message broker, which lets you build applications asynchronously. The major use case is for my project specifically, we're using it for a monitoring system that we're building.
Lead DevOps Engineer at Activelobby Information Systems Pvt Ltd.
Real User
Top 10
2024-09-19T11:03:00Z
Sep 19, 2024
We handle high volumes of telemetry data and operate under stringent latency requirements, with our data pipeline demanding sub-second response times. Redpanda seamlessly integrates into our data plane, particularly as a message broker system, where performance is absolutely critical. Its low-latency capabilities and robust performance have been essential to meeting our operational demands
We use the tool for a simple use case. We use it for data streaming and data normalization. We receive a lot of messages from many different systems. We normalize them and highlight errors. We get 5000 to 6000 messages per minute, so we dump them in the database to handle the load. We use the tool for microservices.
Redpanda offers a modern, intuitive interface with efficient resource usage, seamlessly integrating with Kafka, and enhancing performance through fast operations and reliable support. Organizations benefit from its memory efficiency and high performance for demanding data workloads.Built on a C++ foundation, Redpanda integrates easily with Kafka clients and stands out for fast operations, simplified Docker setup, and effective metrics monitoring. Performance is enhanced by memory efficiency...
I have worked with Redpanda for the past two to three months. Mainly in the tech industry or software industry, there's a huge rise of streaming data. Redpanda serves as a very reliable and fast message broker, which lets you build applications asynchronously. The major use case is for my project specifically, we're using it for a monitoring system that we're building.
We handle high volumes of telemetry data and operate under stringent latency requirements, with our data pipeline demanding sub-second response times. Redpanda seamlessly integrates into our data plane, particularly as a message broker system, where performance is absolutely critical. Its low-latency capabilities and robust performance have been essential to meeting our operational demands
We use the tool for a simple use case. We use it for data streaming and data normalization. We receive a lot of messages from many different systems. We normalize them and highlight errors. We get 5000 to 6000 messages per minute, so we dump them in the database to handle the load. We use the tool for microservices.