Book Image

Implementing Azure: Putting Modern DevOps to Use

By : Florian Klaffenbach, Oliver Michalski, Markus Klein, Mohamed Waly, Namit Tanasseri, Rahul Rai
Book Image

Implementing Azure: Putting Modern DevOps to Use

By: Florian Klaffenbach, Oliver Michalski, Markus Klein, Mohamed Waly, Namit Tanasseri, Rahul Rai

Overview of this book

This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you’ve understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: • Learn Microsoft Azure by Mohamed Wali • Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein • Microservices with Azure by Namit Tanasseri and Rahul Rai
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Auto-scaling


Problem

The load on the services tier of enterprise system is typically nonlinear. Matching the infrastructure services to the workload is a key challenge faced by operation teams these days. The complexity starts with understanding the pattern around increase/decrease in the workload, mapping the workload with a scale-out / scale-up plan and then executing the plan manually. The challenges multiply if the workload keeps changing frequently altering the scalability requirements dynamically.

The following diagram illustrates a scenario where the operations team manually manages the scaling of services:

Auto-scaling (Problem)

Solution

The solution is to employ a software system to perform scaling automatically based on parameters such as number of requests, CPU utilization, memory utilization, and buffer size (queue size), and so on to improve the efficiency of the system and to optimize operational expense.

Auto-scaling is an elastic process which will provision resources based on...