AWS

AWS RDS

Unlock the Power of AWS RDS: Master Database Management in the Cloud

Raghunandana Sanur

Staff Data Engineer & MLOps Engineer at Talabat

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Description

Course Description: Unlock the full potential of Amazon Web Services (AWS) Relational Database Service (RDS) with our comprehensive course. Whether you're a novice or experienced AWS user, this program offers a deep dive into the world of RDS, equipping you with essential skills and knowledge to harness the power of managed databases effectively.

Course Highlights:

1. Overview of RDS and its Benefits:

Explore the fundamentals of AWS RDS and its role in modern cloud computing.
Understand the key benefits of RDS, including scalability, managed backups, and automated patching.

2. Different Database Engines in RDS:

Dive into the various database engines supported by RDS, including MySQL, PostgreSQL, Oracle, SQL Server, and more.
Learn how to choose the right engine for your specific use case.

3. RDS Architecture and Concepts:

Get a deep insight into the architecture and core concepts of RDS.
Discover how RDS manages database instances and storage.

4. Single vs. Multi-AZ Instance Deployment vs. Multi-AZ Cluster Deployment:

Explore different deployment options, including single and multi-AZ instances, and cluster deployments.
Learn when and how to choose the most suitable deployment strategy for high availability and fault tolerance.

5. Understanding RDS Networking and Security:

Master networking concepts specific to RDS.
Secure your RDS instances using IAM, VPC, and security groups.

6. Backup and Restore with RDS:

Learn the intricacies of backup and restore operations with RDS.
Implement automated backup and recovery strategies to safeguard your data.

7. Features and Benefits of Aurora:

Delve into Amazon Aurora, a high-performance database engine compatible with MySQL and PostgreSQL.
Understand the unique features and benefits of Aurora for your database workloads.

8. Monitoring RDS Databases:

Implement robust monitoring solutions for RDS databases.
Utilize AWS CloudWatch and other tools to track performance, detect issues, and optimize your database instances.

Join us on this educational journey to become an AWS RDS expert. Whether you're an aspiring cloud architect, developer, or database administrator, this course equips you with the skills needed to manage, optimize, and secure your database workloads effectively on the AWS platform. Enroll now and take the first step towards mastering AWS RDS!

About the instructor

Raghunandana Krishnamurthy, currently serving as a Staff Data Engineer and MLOps Engineer at Talabat, is renowned for his expertise in the fields of data engineering and machine learning operations. He has a strong background in both GCP and AWS platforms, utilizing tools like SageMaker and VertexAI to accelerate model development and deployment.

His experience at HelloFresh as a Senior Data Engineer involved migrating legacy ETL to AWS EMR and managing hybrid data infrastructure, showcasing his proficiency in big data cloud stacks. He was also responsible for creating visibility on ETL's through monitoring and alerting with Prometheus, Grafana, and other tools.

At Careem, Raghunandana was a Data Engineering Technical Lead, focusing on big data platform development and ensuring the health and alignment of the growing team. His responsibilities included maintaining big data platforms and ensuring data quality for analytics, machine learning, and AI applications.

His tenure at Cerner Corporation as a Big Data Engineer further highlights his deep understanding of Hadoop systems and DevOps culture. He was involved in the development, maintenance, and upgrading of Hadoop clusters, as well as in building scalable distributed systems.

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