
By the end of the lecture, you will have a solid understanding of what AWS RDS is and how it can help you manage your relational databases in the cloud with ease.
By the end of the lecture, you will have a solid understanding of DB Instance classes in AWS RDS, and how to select the right compute and memory configuration for your database workloads.
Some actions, such as changing the recovery model of a SQL Server database, can break the sequence of logs that are used for point-in-time recovery. In some cases, Amazon RDS can detect this issue and the latest restorable time is prevented from moving forward. In other cases, such as when a SQL Server database uses the BULK_LOGGED recovery model, the break in log sequence isn't detected. It might not be possible to restore a SQL Server DB instance to a point in time if there is a break in the log sequence. For these reasons, Amazon RDS doesn't support changing the recovery model of SQL Server databases.
This lecture covers how to use the SQL Server Agent service to execute and schedule administrative tasks in SQL Server. The SQL Server Agent is a Windows service that runs as a background process and performs jobs that contain one or more steps.
In this lecture, we will explore Amazon Web Services (AWS) Systems Manager, a management service that helps you automate operational tasks and ensure compliance across your infrastructure.
In this lecture, we will explore Amazon Web Services (AWS) Relational Database Service (RDS) for Microsoft SQL Server and how to configure Multi-AZ deployments for high availability and disaster recovery. We will cover the benefits of Multi-AZ deployments, such as automatic failover and synchronous replication, and discuss how to achieve them through RDS for SQL Server.
By the end of the lecture, you will have a solid understanding of how to convert a single AZ RDS instance to a Multi-AZ deployment and ensure high availability and disaster recovery for your database.
This course is designed to help participants master the use of SQL Server RDS on AWS. Participants will learn how to deploy, manage, and scale SQL Server databases on AWS RDS. The course covers a broad range of topics, including best practices for database migration, data security, and high availability.
Participants will start by learning how to set up an RDS instance for SQL Server and how to create and manage databases. They will also learn how to optimize performance using techniques such as indexing and query store.
The course will then cover how to ensure data security by implementing authentication, authorization, and encryption mechanisms. Participants will also learn how to set up backups and disaster recovery solutions.
Finally, the course will cover how to achieve high availability using features such as Multi-AZ deployments and Read Replicas. Participants will also learn how to troubleshoot common issues that can arise when working with SQL Server on AWS RDS.
By the end of the course, participants will have a comprehensive understanding of SQL Server RDS on AWS and the skills needed to manage databases in a cloud environment. They will also have the knowledge to optimize performance, ensure data security, and achieve high availability for their SQL Server workloads.