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Materialized Views with Kafka Streams and Spring Boot | Livestreams 011
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Tune in as Viktor Gamov (Developer Advocate, Confluent) kicks off a new series on event-driven microservices, Apache Kafka®, and Confluent Cloud.
Use the promo code SPRINGSTREAMS200 to receive an additional $200 of free Confluent Cloud usage.
VIDEO LINKS
TIMESTAMPS
0:00 - Stream starts
0:39 - Welcome to Livestreams!
12:00 - Materialized views explained
19:58 - Let's test our code with TopologyTestDriver
33:46 - Produce test data for our microservice
37:29 - Expose a Kafka Streams key-value store via REST
42:45 - Create a Kafka cluster in Confluent Cloud and configure a Spring Boot application
44:16 - Question: How are you initializing KafkaTemplate?
44:43 - Question: Are you using in-memory or RocksDB state stores? What's is the advantage of using RocksDB?
45:49 - Putting all together!
50:03 - Testing our materialized view microservice using HTTPie
55:29 - It's a wrap!
ABOUT CONFLUENT
#confluent #apachekafka #materializedviews
Use the promo code SPRINGSTREAMS200 to receive an additional $200 of free Confluent Cloud usage.
VIDEO LINKS
TIMESTAMPS
0:00 - Stream starts
0:39 - Welcome to Livestreams!
12:00 - Materialized views explained
19:58 - Let's test our code with TopologyTestDriver
33:46 - Produce test data for our microservice
37:29 - Expose a Kafka Streams key-value store via REST
42:45 - Create a Kafka cluster in Confluent Cloud and configure a Spring Boot application
44:16 - Question: How are you initializing KafkaTemplate?
44:43 - Question: Are you using in-memory or RocksDB state stores? What's is the advantage of using RocksDB?
45:49 - Putting all together!
50:03 - Testing our materialized view microservice using HTTPie
55:29 - It's a wrap!
ABOUT CONFLUENT
#confluent #apachekafka #materializedviews
Materialized Views with Kafka Streams and Spring Boot | Livestreams 011
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