Cassandra: Architecture| Deployment| Performance Monitoring

Contents

What You’ll Learn Requirements Description Who this course is for:

What
You’ll Learn

The core architecture of Apache Cassandra
Strategies for deploying Cassandra in production environments
Replication and sharding concepts for distributed systems
Tools and techniques for performance monitoring and optimization

Requirements

Basic knowledge of databases and distributed systems
Familiarity with Linux and command-line tools (helpful but not mandatory)
A system capable of running Cassandra for hands-on exercises

Description

Introduction

This course offers a complete exploration of Apache Cassandra, focusing on its architecture, deployment methodologies, replication, sharding, and performance monitoring strategies. Designed for professionals and enthusiasts, this course will help you unlock the potential of Cassandra for large-scale, distributed applications while ensuring optimal performance and reliability.

Section 1: Understanding Cassandra Architecture

In this section, we delve deep into the foundation of Cassandra’s architecture. You’ll learn about the fundamental principles that make Cassandra a reliable, distributed database. Each lecture builds progressively to provide a thorough understanding of its components and design choices.

Lecture 1: Introduction to Architecture (Preview enabled)
Lecture 2: Introduction to Architecture Continued (Preview enabled)
Lecture 3: Architecture Part 1
Lecture 4: Architecture Part 2 (Preview enabled)
Lecture 5: Architecture Part 3
Lecture 6: Architecture Part 4

Section 2: Cassandra Deployment Strategies

This section covers everything you need to know about deploying Cassandra in a production environment. From initial setup to advanced deployment techniques, you’ll gain practical insights into creating a reliable database infrastructure.

Lecture 7: Deployment
Lecture 8: Deployment Continued

Section 3: Replication and Sharding

Replication and sharding are essential for distributed databases like Cassandra. This section explores these concepts, helping you design systems that are scalable, fault-tolerant, and optimized for performance.

Lecture 9: Replication
Lecture 10: Sharding
Lecture 11: Sharding Continued

Section 4: Performance Monitoring Strategies

Performance monitoring is critical for maintaining a high-performing Cassandra cluster. This section guides you through strategies and tools to monitor and optimize Cassandra’s performance, ensuring long-term reliability and efficiency.

Lecture 12: Performance Monitoring Strategies
Lecture 13: Performance Monitoring Strategies Continued

Conclusion

By the end of this course, you’ll be able to design, deploy, and monitor Cassandra databases effectively, with a clear understanding of its architecture and key operational strategies.