Improve Azure Key Performance Indicators through Azure Training




Microsoft’s Azure is a cloud computing service that was created to build, deploy, test, as well as manage application and services with the help of Microsoft-managed data centers. For modern enterprises, Azure presents a refreshing alternative to cloud platform providers such as Amazon Web Services and Google Cloud. Companies that are currently investing in Azure adoption, have a good return on investment in the horizon, given they take all the necessary steps and focus on all the right KPIs, to ensure a successful migration.

The KPIs however, are not the simplest to measure, let alone directly target for a positive overhaul. This is because Azure is bound to have different metrics for success, as compared to legacy systems and processes. To that end, this article talks about how enterprises can deliver Microsoft Azure training in order to improve upon the key performance indicators, and lead to organizational success.

Top Key Performance Indicators That Need to Be Worked on Through Azure Training

Now that we have discussed the importance of KPIs and how they can help you out, let’s move to the top performance metrics that need to be worked on through Azure training. It is important you know that Azure offers premium quality services, but Azure administrators play an important part in determining optimal performance of their applications. One question that you must be thinking is how to work on these indicators? The answer is simple- through Azure training. Let’s have a look at the areas that you will need to work on:

Response Rate

One of the most important elements of cloud computing is availability, as well as response rate. If you have good availability, it means that the systems you have on Azure have constant up time. One of the primary jobs of Azure Administrators is to see the availability as well as the service time of Azure resources. If you want to improve this KPI, you will have to make sure that you get trained to measure the storage, network, services and computing metrics.

Storage Capacity and Scalability

Azure’s infrastructure consists of a number of different data management and storage services. They also include web scalable databases (SQL Azure) and raw storage capacity (Azure Storage). In order to improve this KPI, you will have to measure:

Storage Availability: To know the processing services available.

Storage Scalability: The ability of database infrastructures to scale with workloads.

Storage Utilization: The amount of data services used.

Scalability and Capacity

Servers are where most of the processing takes place. The processing power as well as capacity is one of the most important items in Azure hosted services and applications. In order to improve this KPI, you need to be trained to measure the following:

Server Availability: This is the availability of virtual machine servers over a period of time.

Server Utilization: This is the limit to which the resources of the server are being used in the given time. It includes memory, power as well as I/O operations.

Server Responsiveness: The rate at which the servers reply to the requests, be it internal or external

Servers Capacity: The level of utilization and the capacity left.

Server Scalability: The limit to which a server or a number of servers can be scaled with added workload.

Network Capacity and Utilization Metrics

Want to know the communication backbone of cloud-based environments? The answer is networks. They are important because they help in transferring queries, messages, as well as instructions across different cloud services. In the same way, when it comes to Azure Cloud Infrastructure, one of the key factors that is extremely important in connecting it to Azure Cloud Platform is network performance. Let’s have a look at some of the important factors that determine the Azure Cloud Infrastructure:

Network Availability: This is the overall time through which network services and resources are available.

Network Capacity: This determines the scalability of current network resources before they reach their limit.

Network Responsiveness: This measures how quick the network is in responding to network requests.

Network Throughput: This is the amount of data that goes in and out of the network, as well as the available bandwidth.

Network Utilization: This determines the utilization level of Azure. Is it being utilized in the right manner? Is it over utilized or is it underutilized?

Azure Recovery

It goes without saying that Azure’s Infrastructure is extremely reliable. However, just like any other system, it also experiences performance issues as well as downtimes. Even the best cloud infrastructure faces downtimes sometimes. Since you can’t always be sure if it will be available all the time, Azure Recovery metrics are important in determining the efficiency of the infrastructure and how long it will take for the system to work in case of failure. Some of the key performance metrics, when it comes to Azure recovery are:

Switchover Time: This is the total time it takes to switch from a failed node to an alternate one.

System Recovery Time: This is the time expected for Azure to recover and resume in case of a failure.

Learning about Microsoft Azure Performance Monitoring Software

If you want to monitor Azure Web and Worker Rules, you can use Azure Portal.

In conclusion, if you want to improve your key performance indicators, it is important that you get trained and get your Azure certification, as it will help you to understand all the basics as well as the complexities that are attached with Azure cloud computing,

About The Author
Travis
Account Manager (Northwestern United States) at QuickStart

Travis Hameed

Travis Hameed is an expert when it comes to navigating complex sales, and making prospects' lives easier and hassle-free. As a sales rep with over 6 years of experience, he has decided to be a part of QuickStart's blog and share his thoughts regarding the questions that he comes across frequently. When he is not helping customers with their IT skills training challenges, he loves to cook.