TrustStore and KeyStore in Kafka We need to have a secure deployment and encrypted communication on each of these four types of arrows. Nowadays, the TLS is mostly used to secure a connection via a CA (Certificate Authority): CA (Certificate Authority): The CA can sign other entities certificates. Client: The client put certificates in the Trust Store and doesn’t hold keys. Server: The server puts certificates, public keys, and private keys in the Key Store. ...
Microservices with Kafka To understand the logic behind doing microservices with Kafka, I believe it is important to take a smaller tour of how databases work. The engine uses a file called the write‑ahead log, or WAL. First, it writes the operation to the WAL. Then, it executes operations on the tables and indexes to reflect what the WAL said they should look like. We have normally two types of microservices: ...
ETL with Apache Kafka One important statement is that Kafka Connect is not an ETL(Extract, Load, Transform) solution itself, it only connects. But with the help of the correct plugins it can have some ETL capabilities. Connectors Source Connectors: Transfer data from a Source to Kafka. Sink Connectors: Transfer data from Kafka to a Sink. You can search through all of the connectors at thre registry: https://www.confluent.io/product/connectors. Standalone vs. Distributed ...
Kafka Consumer Group Consumers are typically done as a group. A single consumer will end up inefficient with large amounts of data. A consumer may never catch up. Every consumer should be on it’s own machine, instance, pod. The consumer group ID is the key so Kafka knows that messages should be distributed to both consumers without duplicating. If we add one more consumer to this group, the last one will be idle, because one partition can’t be share across consumers. One partition can only be assigned to one consumer. Instead, the partitions are the way of Kafka to scale. More partitions imply you can have more consumers in the same consumer group. ...
Kafka Producer Overview Demo: Producing Messages with Kafka CLI Run Kafka Containers Create a docker-compose file docker-compose.yaml containing three Zookeepers, three Kafka Brokers, and a Kafka REST Proxy: --- version: '3' services: zookeeper-1: image: confluentinc/cp-zookeeper:7.4.1 hostname: zookeeper-1 container_name: zookeeper-1 volumes: - ./zookeeper-1_data:/var/lib/zookeeper/data - ./zookeeper-1_log:/var/lib/zookeeper/log environment: ZOOKEEPER_CLIENT_PORT: 2181 ZOOKEEPER_TICK_TIME: 2000 ZOO_MY_ID: 1 ZOO_SERVERS: server.1=zookeeper-1:2888:3888;2181 server.2=zookeeper-2:2888:3888;2181 server.3=zookeeper-3:2888:3888;2181 zookeeper-2: image: confluentinc/cp-zookeeper:7.4.1 hostname: zookeeper-2 container_name: zookeeper-2 volumes: - ./zookeeper-2_data:/var/lib/zookeeper/data - ./zookeeper-2_log:/var/lib/zookeeper/log environment: ZOOKEEPER_CLIENT_PORT: 2181 ZOOKEEPER_TICK_TIME: 2000 ZOO_MY_ID: 2 ZOO_SERVERS: server.1=zookeeper-1:2888:3888;2181 server.2=zookeeper-2:2888:3888;2181 server.3=zookeeper-3:2888:3888;2181 zookeeper-3: image: confluentinc/cp-zookeeper:7.4.1 hostname: zookeeper-3 container_name: zookeeper-3 volumes: - ./zookeeper-3_data:/var/lib/zookeeper/data - ./zookeeper-3_log:/var/lib/zookeeper/log environment: ZOOKEEPER_CLIENT_PORT: 2181 ZOOKEEPER_TICK_TIME: 2000 ZOO_MY_ID: 3 ZOO_SERVERS: server.1=zookeeper-1:2888:3888;2181 server.2=zookeeper-2:2888:3888;2181 server.3=zookeeper-3:2888:3888;2181 broker-1: image: confluentinc/cp-kafka:7.4.1 hostname: broker-1 container_name: broker-1 volumes: - ./broker-1-data:/var/lib/kafka/data depends_on: - zookeeper-1 - zookeeper-2 - zookeeper-3 ports: - 9092:9092 - 29092:29092 environment: KAFKA_BROKER_ID: 1 KAFKA_ZOOKEEPER_CONNECT: zookeeper-1:2181 KAFKA_ADVERTISED_LISTENERS: HOST://localhost:9092,INTERNAL://broker-1:29092 KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: HOST:PLAINTEXT,INTERNAL:PLAINTEXT KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL KAFKA_SNAPSHOT_TRUST_EMPTY: true broker-2: image: confluentinc/cp-kafka:7.4.1 hostname: broker-2 container_name: broker-2 volumes: - ./broker-2-data:/var/lib/kafka/data depends_on: - zookeeper-1 - zookeeper-2 - zookeeper-3 - broker-1 ports: - 9093:9093 - 29093:29093 environment: KAFKA_BROKER_ID: 2 KAFKA_ZOOKEEPER_CONNECT: zookeeper-1:2181 KAFKA_ADVERTISED_LISTENERS: HOST://localhost:9093,INTERNAL://broker-2:29093 KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: HOST:PLAINTEXT,INTERNAL:PLAINTEXT KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL KAFKA_SNAPSHOT_TRUST_EMPTY: true broker-3: image: confluentinc/cp-kafka:7.4.1 hostname: broker-3 container_name: broker-3 volumes: - ./broker-3-data:/var/lib/kafka/data depends_on: - zookeeper-1 - zookeeper-2 - zookeeper-3 - broker-1 - broker-2 ports: - 9094:9094 - 29094:29094 environment: KAFKA_BROKER_ID: 3 KAFKA_ZOOKEEPER_CONNECT: zookeeper-1:2181 KAFKA_ADVERTISED_LISTENERS: HOST://localhost:9094,INTERNAL://broker-3:29094 KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: HOST:PLAINTEXT,INTERNAL:PLAINTEXT KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL KAFKA_SNAPSHOT_TRUST_EMPTY: true rest-proxy: image: confluentinc/cp-kafka-rest:7.4.1 ports: - "8082:8082" depends_on: - zookeeper-1 - zookeeper-2 - zookeeper-3 - broker-1 - broker-2 - broker-3 hostname: rest-proxy container_name: rest-proxy environment: KAFKA_REST_HOST_NAME: rest-proxy KAFKA_REST_BOOTSTRAP_SERVERS: 'broker-1:29092,broker-2:29093,broker-3:29094' KAFKA_REST_LISTENERS: "http://0.0.0.0:8082" Run composed containers: ...
Kafka Architecture Kafka Message Deploy Kafka Create a docker-compose file docker-compose.yaml containing three Zookeepers, three Kafka Brokers, and a Kafka REST Proxy: --- version: '3' services: zookeeper-1: image: confluentinc/cp-zookeeper:7.4.1 hostname: zookeeper-1 container_name: zookeeper-1 volumes: - ./zookeeper-1_data:/var/lib/zookeeper/data - ./zookeeper-1_log:/var/lib/zookeeper/log environment: ZOOKEEPER_CLIENT_PORT: 2181 ZOOKEEPER_TICK_TIME: 2000 ZOO_MY_ID: 1 ZOO_SERVERS: server.1=zookeeper-1:2888:3888;2181 server.2=zookeeper-2:2888:3888;2181 server.3=zookeeper-3:2888:3888;2181 zookeeper-2: image: confluentinc/cp-zookeeper:7.4.1 hostname: zookeeper-2 container_name: zookeeper-2 volumes: - ./zookeeper-2_data:/var/lib/zookeeper/data - ./zookeeper-2_log:/var/lib/zookeeper/log environment: ZOOKEEPER_CLIENT_PORT: 2181 ZOOKEEPER_TICK_TIME: 2000 ZOO_MY_ID: 2 ZOO_SERVERS: server.1=zookeeper-1:2888:3888;2181 server.2=zookeeper-2:2888:3888;2181 server.3=zookeeper-3:2888:3888;2181 zookeeper-3: image: confluentinc/cp-zookeeper:7.4.1 hostname: zookeeper-3 container_name: zookeeper-3 volumes: - ./zookeeper-3_data:/var/lib/zookeeper/data - ./zookeeper-3_log:/var/lib/zookeeper/log environment: ZOOKEEPER_CLIENT_PORT: 2181 ZOOKEEPER_TICK_TIME: 2000 ZOO_MY_ID: 3 ZOO_SERVERS: server.1=zookeeper-1:2888:3888;2181 server.2=zookeeper-2:2888:3888;2181 server.3=zookeeper-3:2888:3888;2181 broker-1: image: confluentinc/cp-kafka:7.4.1 hostname: broker-1 container_name: broker-1 volumes: - ./broker-1-data:/var/lib/kafka/data depends_on: - zookeeper-1 - zookeeper-2 - zookeeper-3 ports: - 9092:9092 - 29092:29092 environment: KAFKA_BROKER_ID: 1 KAFKA_ZOOKEEPER_CONNECT: zookeeper-1:2181 KAFKA_ADVERTISED_LISTENERS: HOST://localhost:9092,INTERNAL://broker-1:29092 KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: HOST:PLAINTEXT,INTERNAL:PLAINTEXT KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL KAFKA_SNAPSHOT_TRUST_EMPTY: true broker-2: image: confluentinc/cp-kafka:7.4.1 hostname: broker-2 container_name: broker-2 volumes: - ./broker-2-data:/var/lib/kafka/data depends_on: - zookeeper-1 - zookeeper-2 - zookeeper-3 - broker-1 ports: - 9093:9093 - 29093:29093 environment: KAFKA_BROKER_ID: 2 KAFKA_ZOOKEEPER_CONNECT: zookeeper-1:2181 KAFKA_ADVERTISED_LISTENERS: HOST://localhost:9093,INTERNAL://broker-2:29093 KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: HOST:PLAINTEXT,INTERNAL:PLAINTEXT KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL KAFKA_SNAPSHOT_TRUST_EMPTY: true broker-3: image: confluentinc/cp-kafka:7.4.1 hostname: broker-3 container_name: broker-3 volumes: - ./broker-3-data:/var/lib/kafka/data depends_on: - zookeeper-1 - zookeeper-2 - zookeeper-3 - broker-1 - broker-2 ports: - 9094:9094 - 29094:29094 environment: KAFKA_BROKER_ID: 3 KAFKA_ZOOKEEPER_CONNECT: zookeeper-1:2181 KAFKA_ADVERTISED_LISTENERS: HOST://localhost:9094,INTERNAL://broker-3:29094 KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: HOST:PLAINTEXT,INTERNAL:PLAINTEXT KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL KAFKA_SNAPSHOT_TRUST_EMPTY: true rest-proxy: image: confluentinc/cp-kafka-rest:7.4.1 ports: - "8082:8082" depends_on: - zookeeper-1 - zookeeper-2 - zookeeper-3 - broker-1 - broker-2 - broker-3 hostname: rest-proxy container_name: rest-proxy environment: KAFKA_REST_HOST_NAME: rest-proxy KAFKA_REST_BOOTSTRAP_SERVERS: 'broker-1:29092,broker-2:29093,broker-3:29094' KAFKA_REST_LISTENERS: "http://0.0.0.0:8082" Run composed containers: ...
We Call The entity/app creates a message, a publisher, or a producer. The entity/app consuming messages from a channel as a consumer. The system where the channels live and handle these requests as an Event Bus or, more recently, a streaming platform. The channel where messages flow as channel or topic. Definitions We say the pub-sub system is reliable when you ensure there is no message loss. Has at most one processing when you ensure there is no message duplication. And has exactly one processing when you only process a message once ensuring it wasn’t lost. Of course, this is the holy grail. We Had a Ton of Other Pub/Sub Systems Before ...