- Scaling out scales your application horizontally (by adding additional instances), while scaling up scales your application vertically (so better hardware is provisioned).
- In most cases, you scale out rather than scale up. This is because the performance of the hardware is limited and it is easier to add another machine to the set rather than provision a new CPU and memory.
- Not really—while conceptually it could be possible, serverless services avoid scaling up.
- Yes—if you scale out Azure App Service, the price for the service will be multiplied by the number of instances currently working.
- In SF, scaling out is perfectly fine. The dangerous operations are scaling up as it requires you to take your workload from one place and migrate it to another one.
- Manual scaling can be problematic when the traffic your application handles...
Hands-On Azure for Developers
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Hands-On Azure for Developers
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Overview of this book
Microsoft Azure is one of the fastest growing public cloud service providers in the market currently, and also holds the second highest market share after AWS. Azure has a sophisticated set of services that will help you build fault-tolerant and scalable cloud-based applications.
Hands-On Azure for Developers will take you on a journey through multiple PaaS services available in Azure, including App Services, Functions, and Service Fabric, and explain in detail how to build a complete and reliable system with ease. You will learn about how to maximize your skills when building cloud-based solutions leveraging different SQL/NoSQL databases, serverless and messaging components, and even search engines such as Azure Search. In the concluding chapters, this book covers more advanced scenarios such as scalability best practices, serving static content with Azure CDN, and distributing loads with Azure Traffic Manager.
By the end of the book, you will be able to build modern applications on the Azure cloud using the most popular and promising technologies, which will help make your solutions reliable, stable, and efficient.
Table of Contents (24 chapters)
Preface
Free Chapter
Azure App Service
Azure WebJobs
Deploying Web Applications as Containers
Distributed Applications and Microservices with Service Fabric
Using Azure Search
Mobile Notifications with Notification Hub
Serverless and Azure Functions
Integrating Different Components with Logic Apps
Swiss Army Knife - Azure Cosmos DB
Reactive Architecture with Event Grid
Using Azure Storage - Tables, Queues, Files, and Blobs
Big Data Pipeline - Azure Event Hub
Real-Time Data Analysis - Azure Stream Analytics
Enterprise Integration - Azure Service Bus
Using Application Insights to Monitor Your Applications
SQL in Azure - Azure SQL
Big Data Storage - Azure Data Lake
Scaling Azure Applications
Serving Static Content Using Azure CDN
Distributing Load with Azure Traffic Manager
Tips and Tricks for Azure
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