Learning with LiveStreams: Cloud-Native Apache Kafka and Serverless Stream Processing
Blog post from Confluent
LiveStreams is a YouTube show dedicated to exploring Confluent and real-time data streaming technologies, offering practical insights into coding and DevOps. Each episode provides hands-on experience with tools such as Kafka and Confluent, addressing common questions from a global audience. The show covers a range of topics, including setting up Spring Boot with Confluent Cloud, processing data with Kafka Streams, and optimizing data using binary formats like Avro and Protobuf. It also delves into automating tasks with ccloud-stack, building event-driven microservices, and utilizing ksqlDB Java client for data interaction. Episodes further explore integrating Project Reactor with ksqlDB for reactive programming, generating materialized views for data access, and combining Kubernetes, Spring Boot, and Kafka Streams for advanced application deployment. The program emphasizes a transition in Spring Cloud Stream towards a function-based approach, simplifying the creation of event-driven applications. Viewers are encouraged to subscribe for upcoming episodes that focus on managing secrets with Kubernetes and HashiCorp Vault and developing event-driven microservices with Apache Kafka.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 5 | 1,032 | 143 | 52 | -5% |
| Real-time | 5 | 907 | 335 | 104 | +25% |
| Data Pipeline | 2 | 150 | 48 | 26 | +23% |
| Secrets Management | 2 | 443 | 57 | 26 | +76% |
| Serverless | 2 | 539 | 101 | 46 | +36% |
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