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Azure for Architects

You're reading from   Azure for Architects Create secure, scalable, high-availability applications on the cloud

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839215865
Length 698 pages
Edition 3rd Edition
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Authors (3):
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Jack Lee Jack Lee
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Jack Lee
Ritesh Modi Ritesh Modi
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Ritesh Modi
Rithin Skaria Rithin Skaria
Author Profile Icon Rithin Skaria
Rithin Skaria
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Toc

Table of Contents (21) Chapters Close

Preface 1. Getting started with Azure 2. Azure solution availability, scalability, and monitoring FREE CHAPTER 3. Design pattern – Networks, storage, messaging, and events 4. Automating architecture on Azure 5. Designing policies, locks, and tags for Azure deployments 6. Cost management for Azure solutions 7. Azure OLTP solutions 8. Architecting secure applications on Azure 9. Azure Big Data solutions 10. Serverless in Azure – Working with Azure Functions 11. Azure solutions using Azure Logic Apps, Event Grid, and Functions 12. Azure Big Data eventing solutions 13. Integrating Azure DevOps 14. Architecting Azure Kubernetes solutions 15. Cross-subscription deployments using ARM templates 16. ARM template modular design and implementation 17. Designing IoT solutions 18. Azure Synapse Analytics for architects 19. Architecting intelligent solutions 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...

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