Quality Assurance and Project Management

Mar 28 2018   9:39PM GMT

Performance Monitoring of Application and Infrastructure is Critical

Jaideep Khanduja Jaideep Khanduja Profile: Jaideep Khanduja

Application performance
Big Data
Machine learning
Performance monitoring

Performance Monitoring has become a critical factor for all business applications running in an enterprise. There are various reasons for it. Firstly, no application functions in isolation. There is always a dependency either backward or forward. It is either pushing data to another application. Or is pulling data from another application. As a matter of fact, infrastructure is not away from the scan of performance monitoring. Everything has to be in sync. Because it is the overall performance that matters in the organization. So, even if your infrastructure is modern and state-of-the-art performing at a rocket speed it loses its value if applications residing on it are under-performing. Let us have a look at the rising trends in performance monitoring for both – application as well as infrastructure. The key contributors to it are Big Data, Machine Learning, IIoT, etc. SaaS delivery model plays a significant role in this.

Performance Monitoring

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Overall, industrial architecture is not as simple as it was a few years back. This is the age of complex applications. Features like Containerization, Microservices, and Heterogenous clouds to tackle data overloads are becoming critical and important. Data, in fact, is flooding from all directions. It is very important to analyze it. There are various ways to adapt to a proper performance monitoring mechanism. It is necessary to learn about each. These are Code-level APM (Application Performance Monitoring), Network Performance Monitoring or NPM, Performance Testing, Real User Monitoring or RUM, and Synthetic Monitoring. Code-level APM is a good tool to report load time and response time. In fact, it smartly figures out the lines of code in the application that are causing these troubles. New technologies obviously require new approaches. For instance, technologies like containerization and microservices need tracking of the tremendous amount of data to ascertain performance.

Performance Monitoring Needs Better Tools

Looking at the complexities of performance monitoring, vendors offering APM and similar services include machine learning methodologies to attain optimum results in data mining and generate important information. After all, it is the performance that matters most in an organization. And it becomes the responsibility of the IT department to ensure the performance of any employee in the organization doesn’t get any negative impact due to the poor performance of an application or infrastructure in place. Usually, it is somebody on the top in the technology department of an organization to own this responsibility. In fact, this is the person who is answerable for any kind of issues in the performance.

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