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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: ...
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2 Exclusive Ways to Start Kafka Services

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The Kafka services start or stop you can do in two ways. Those are  Systemd  and  Systemctl  (sudo user). Below, you will find the commands for these two methods. How to start/stop Kafka service Here are exclusive ways. With these, you can start or stop Kafka services .   1. Systemd service The concept of unit files people who worked on Linux servers have familiarity with it. Also, they know creating the unit file to use by systemd. To summarize,  it initializes and maintains components throughout the system . This means that you can define ZooKeeper and Kafka as unit files, which then will be used by systems. Commands The first command starts the service, and the second command stops the service. ... [Service] ... ExecStart=/opt/kafkainaction/bin/zookeeper-server-start.sh ExecStop= /opt/kafkainaction/bin/zookeeper-server-stop.sh 2. Systemctl by Sudo (root) user The root user can start or stop the Kafka services. This is more like front-end processing...
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