Application performance is critical for any non-trivial business application. In this article, we will discuss the need for application performance analysis and optimization. We will outline the workflow for analyzing an application’s performance, identifying bottlenecks and areas of improvement, and implementing solutions. We will also look at few of the tools available and share some practical case studies of analysis and optimizations that has resulted in enhanced application performance.
Need for Application Performance Analysis
The performance of any application, service, or platform – in terms of response times, throughput etc. – is very critical. In the B2C space, a slow application will result in unhappy users and a dwindling user base. In the B2B space, a sluggish service can cause productivity losses and business downturns for the service consumers. Not only is this an indirect loss for the service provider, it could also drive the customer businesses to turn to competitor services, leading to significant revenue losses. This would mean application teams will always be under pressure to guarantee the best possible application performance.
The primary factor driving the performance for majority of the applications is the compute infrastructure (typically includes CPU and Memory) on which the application operates. Over the years, compute platforms have evolved from mainframes to high-end servers, to Virtual Machines (VMs) and even serverless models with cloud platforms. At the same time, application architectures have also evolved to keep pace with the changes in compute capabilities, transitioning from monolithic structures to services, and further on to microservices.
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This whitepaper authored by Lokesh Chenta was published on TechGig.
