May 1, 2024
3 minute read
Upscaling your knowledge of Automatic Scaling, a crucial component of cloud infrastructure and application architecture, opens doors to a world of opportunities for learners and professionals alike. Whether you're looking to quench your curiosity, fulfill academic requirements, or fuel your career aspirations, Automatic Scaling serves as an indispensable tool for navigating today's digital landscape. Embark on an enriching learning journey as we delve into what Automatic Scaling entails, why it's worth exploring, and how online courses can propel your understanding.
What is Automatic Scaling?
Automatic Scaling refers to the automated adjustment of computing resources in a cloud computing environment based on real-time demand. It's a critical practice that ensures optimal performance, cost-effectiveness, and availability of cloud-based applications. By dynamically scaling up or down the number of servers or containers, Automatic Scaling helps you meet fluctuating workloads without compromising on quality.
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Find a path to becoming a Automatic Scaling. Learn more at:
OpenCourser.com/topic/vmb490/automatic
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Automatic Scaling.
Collection of essays by Martin Kleppmann, a renowned expert in scalability. It covers various topics related to scalability, including automatic scaling, and provides valuable insights into the challenges and considerations involved in building scalable systems.
Presents a collection of design patterns for cloud computing, including patterns for implementing automatic scaling. It provides practical guidance on how to design and develop cloud-based applications that are scalable, reliable, and efficient.
Covers serverless architectures on AWS and includes a chapter on automatic scaling. It provides guidance on how to design and deploy serverless applications that are scalable, cost-effective, and reliable.
Covers the concepts and practices of microservices architecture, which is often used in conjunction with automatic scaling. It provides guidance on designing, building, and deploying microservices-based applications and discusses the role of automatic scaling in such architectures.
Provides a comprehensive overview of the Google Cloud Platform and covers various services, including automatic scaling. It offers practical guidance on how to use GCP services to build and deploy scalable applications.
Covers Apache Kafka, a distributed streaming platform, and includes a section on how to use Kafka for scaling applications. It provides detailed explanations and practical examples of using Kafka for building scalable and fault-tolerant systems.
Comprehensive study guide for the AWS Certified Solutions Architect exam and covers various aspects of AWS cloud computing, including automatic scaling. It provides detailed explanations, practice questions, and hands-on labs to help prepare for the exam.
Covers various aspects of designing and building data-intensive applications, including techniques for scaling such applications. While it does not focus specifically on automatic scaling, it provides valuable insights into the challenges and considerations involved in scaling data-intensive systems.
While this book does not focus specifically on automatic scaling, it provides a good introduction to Kubernetes, a container orchestration platform that is widely used for deploying and managing scalable containerized applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/vmb490/automatic
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