Packt – Becoming a Cloud Expert Microsoft Azure IaaS Level 2-XQZT
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Cloud computing is one of the biggest technology revolutions in the IT industry, spreading at the speed of light all over the world. A growing number of business companies and organizations are looking for ways to migrate their applications into the cloud or build new cloud-native applications from scratch on top of cloud infrastructure. The demand for more skilled people in the area of cloud computing is increasing every day across multiple industries. Companies are looking for cloud experts!
Becoming a cloud expert – If you are looking to become a cloud expert, then this training program is designed to help you build your knowledge of, and experience with, cloud computing while using the Azure cloud platform. The training program is divided into levels.
Level 2 – All about monitoring.
In level 1, we learned to build an end-to-end cloud solution on the Microsoft Azure platform. Now is the time to learn how to monitor our IaaS solution effectively. In level 2, we will learn how to monitor and analyze the performance and health of our Azure resources, applications, and the Azure platform and services. One thing for sure, it is going to be an exciting journey!
All the codes and supporting files for this course are available at – github.com/PacktPublishing/Becoming-a-Cloud-Expert—Microsoft-Azure-IaaS—Level-2
A comprehensive overview of the Microsoft Azure platform
A unique balance between theoretical topics and practical demonstrations
The second level of Becoming a Cloud Expert training program
Understand operational and business requirements for monitoring the performance and health of a cloud solution
Understand the different types of telemetry data (metrics and logs) that can be collected
Build your own demo system in Azure (using Linux, Apache, MySQL, and PHP)
Set up alert rules and action groups to create an automation layer
Simulate traffic load on the demo system
Monitor the status of the Azure platform and services
Monitor your Azure resources (such as VMs, storage accounts, VNet, interfaces, NSGs, and web apps)
Analyze performance metrics in multiple layers (Azure hosting infrastructures, guest OSes, applications)
Analyze logs using the kusto query language in log analytics
Manage the life cycle of Azure alerts