Optimizing Cloud-Native Applications: From Scalability to Real-Time Data

Abstract

Optimizing Cloud-Native Applications: From Scalability to Real-Time

Data

Objectives:
1. Understand the fundamental principles of cloud-native architecture for building scalable and
resilient systems.
2. Explore microservices, containerization, and orchestration techniques to enhance application
performance and agility.
3. Analyze strategies for achieving efficient scalability and optimizing resource utilization in
cloud-native environments.
4. Examine real-time data processing models that enable instant insights and responsive
decision-making.
5. Evaluate best practices for ensuring reliability, observability, and security in cloud-native
applications.

Table of Contents
CHAPTER 1 The Cloud-Native Paradigm
CHAPTER 2 Designing for Optimization
CHAPTER 3 Horizontal and Vertical Scaling Strategies
CHAPTER 4 State Management in Distributed Systems
CHAPTER 5 Resilience and Fault Tolerance
CHAPTER 6 Application Performance Monitoring (APM)
CHAPTER 7 Optimizing the Application Layer
CHAPTER 8 Network and Cost Optimization
CHAPTER 9 Introduction to Real-Time Data Processing
CHAPTER 10 Building the Real-Time Data Pipeline
CHAPTER 11 Real-Time Applications in Practice
CHAPTER 12 The Future of Cloud-Native Optimization