Cloud Metrics are one of the great ways to optimize the cloud benefits for your business. If you want to launch a cloud application or migrate a project to the cloud, you need a cloud provider such as Amazon Web Service or Microsoft Azure to match your performance levels.
Whether you are engaged in a cloud migration project or looking to start fresh with a brand new cloud implementation, you will need to match your workload performance to the cloud provider that best suits your needs without overspending. Cloud computing performance benchmarks are the perfect way to compare pricing with performance.
Continuous Operations is the key to cloud success
Finding out what your actual computing needs are, is the first step to choosing the right cloud solution. By analyzing your systems, activities, and processes you can accurately identify your unique requirements.
Continuous operations is the backbone of any business. It means 24/7 working conditions. You have the infrastructure in place to eliminate planned maintenance, and applications will continue to service customers until they’re switched over to newer versions once you’ve deployed and tested the new applications.
To achieve the goal of continuous operations, businesses are opting for cloud provisioning servers from multiple redundant platforms. While the use of the cloud makes it easier to provision for the required resource, you still end up paying for them in the event of a planned maintenance.
The cost of a downtime affects the company whether it’s a planned or unplanned schedule. As the companies move towards continuous operations, cloud metrics plays a crucial role. Only through continuous and regular cloud metrics collection and analysis will they be able to provide a consistent and reliable service for the customers.
Importance of cloud metrics
By analyzing the cloud metrics and data, you can pre-empt and spot issues, beforehand to counter a failure in operations. It could include read/write errors or security concerns from your cloud storage, which could be an indication that a drive is about to fail and needs to be replaced.
Cloud metrics provides insights into your cloud computing. It allows predictive analysis of your system, to determine when your servers are under load and requires provisioning.
By using the cloud metrics data you can set up thresholds via policies that react to certain conditions during the cloud operations. This allows the cloud to self heal with possible auto fixes in the event of any operational failures.
There are some other metrics on which the CIOs measure their cloud usage.
- Which services the employees are using and to what extent?
- Whether the popular services should be evaluated for enterprise usage?
- What is the risk and security factor involved in using these services?
- Are my security policies, proxies and firewalls capable of protecting my sensitive data when accessed by these services?
The other key metrics on which the cloud computing are benchmarked are:
Elasticity – You should be able to scale up and down your resources depending on the business requirements. The agility to track the needs of the workload and adequately increase the throughput when a new resources is added.
Performance and Response time should be in line with the cloud provider’s SLA.
Variability – It is a metric that tracks the temporal nature of performance. Due to the variable background load nature of the resources, it’s difficult to track the overall performance of the cloud.
Given availability is an indicator for quality of cloud service, cloud vendors will continue to invest in additional infrastructure to support a growing number of customers and enterprises. Therefore, a better way to measure cloud availability would be to apply qualitative metrics, such as mean time to repair (MTTR) and the mean time between failures (MTBF).
Microsoft Azure has various analytical tools such as Data Lake Analytics, HDInsights, Visual Studio online and more to collect the loud metrics. Amazon Web Services has the Amazon Cloud Watch, AWS Cloud Formation, AWS Cloud Trail etc.
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