Book Image

Azure for Architects - Third Edition

By : Ritesh Modi, Jack Lee, Rithin Skaria
Book Image

Azure for Architects - Third Edition

By: Ritesh Modi, Jack Lee, Rithin Skaria

Overview of this book

Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions.
Table of Contents (21 chapters)
20
Index

DevOps with containers

In a typical architecture, container runtimes are deployed on virtual machines and containers are run within them. The typical architecture for IaaS container-based solutions is shown here:

IaaS container-based solution architecture
Figure 13.18: Architecture for IaaS container-based solutions

These containers are managed by container orchestrators such as Kubernetes. Monitoring services are provided by Log Analytics and all secrets and keys are stored in Azure Key Vault. There is also a pull server, which could be on a virtual machine or Azure Automation, providing configuration information to the virtual machines.

Containers

Containers are a virtualization technology; however, they don't virtualize physical servers. Instead, containers are an operating system-level virtualization. This means that containers share the operating system kernel provided by their host among themselves and with the host. Running multiple containers on a host (physical...