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Step-by-Step Guide to Creating an AWS RDS Database Instance

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 Amazon Relational Database Service (AWS RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Instead of managing servers, patching OS, and handling backups manually, AWS RDS takes care of the heavy lifting so you can focus on building applications and data pipelines. In this blog, we’ll walk through how to create an AWS RDS instance , key configuration choices, and best practices you should follow in real-world projects. What is AWS RDS? AWS RDS is a managed database service that supports popular relational engines such as: Amazon Aurora (MySQL / PostgreSQL compatible) MySQL PostgreSQL MariaDB Oracle SQL Server With RDS, AWS manages: Database provisioning Automated backups Software patching High availability (Multi-AZ) Monitoring and scaling Prerequisites Before creating an RDS instance, make sure you have: An active AWS account Proper IAM permissions (RDS, EC2, VPC) A basic understanding of: ...

How to Check Kafka Available Brokers

Brokers


Here's the command to check the list of brokers present in a Kafka Cluster. You can say the Broker is the heart of the Kafka cluster. In simple terms, it works as a process.

The main function is to receive messages from publishers and gives permission to access messages by consumers.

How to Check Available Brokers in Kafka

Here is the command:

linux$ ./zookeeper-shell.sh zookeeper-IPaddress:2181 | "ls /brokers/ids"

Just use the above command to get the number of brokers present in your host (Kafka Cluster).

What is Default Broker-id in Kafka 

The default broker id is -1. When you create a new broker, it adds to -1. Then, it gives a new broker id. The broker ids will be generated from reserved.broker.max.id + 1.


Types of broker ids.

  1. Use assigned
  2. Zookeeper generated broker id.


According to Wiki:

Kafka runs on a cluster of one or more servers (called brokers), and the partitions of all topics are distributed across the cluster nodes. 


Overview of Kafka

Additionally, partitions are replicated to multiple brokers. This architecture allows Kafka to deliver massive streams of messages in a fault-tolerant fashion and has allowed it to replace some of the conventional messaging systems like Java Message Service (JMS), Advanced Message Queuing Protocol (AMQP), etc. Since the 0.11.0.0 release, Kafka offers transactional writes, which provide an exactly-once stream.


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