Performance engineering is proactive, continuous, and end-to-end application performance testing and monitoring. It allows seamless collaboration between teams, tools, and processes through continuous feedback loops. Here, it’s not just testers who are responsible for quality assurance but developers, performance engineers, product owners, and business analysts as well.
“Performance engineering is a cultural shift in the way organizations view their essential processes. Performance engineering embraces practices and capabilities that build quality and performance throughout an organization." - Joe Colantonio of Test Guild Podcast: Six Top Trends for Performance in 2020 and Beyond
By leveraging right-sized tools spanning developers to performance engineers, Performance Engineering enables shift-left performance testing and shift-right application performance monitoring. It’s difficult to appreciate just how much of a departure performance engineering is from traditional performance testing without understanding classic performance testing is.
Classic performance testing is effectively a subset of performance engineering. It usually entails running a single round of OpenText™ load testing as part of the post-development quality assurance (QA) cycle. Performance testing involves checking the speed, reliability, scalability, stability, response time, and resource use of an application under the anticipated workload. Before we get into the differences between performance engineering and performance testing, we’ll first take a look at performance testing in isolation and why it’s, by itself, no longer sustainable.
Now, let’s delve into the key differences between performance engineering vs performance testing.
Through the following concepts, DevOps and performance engineering deliver consistent production performance results, allowing customers to deploy applications efficiently with more confidence and to roll out high performing, stable software that fulfil user expectations.
Performance engineering delivers end-to-end system optimization through a continuous testing and monitoring process. This shifts-left performance and load testing into the development process. That’s unlike traditional performance testing where the testing took place after functional testing was stabilized and the code released.
Once the code is released, performance engineering tracks the app in production by tapping into application performance monitoring (APM) tools.
Cross-Functional team of performance stakeholders
Performance engineering enables collaboration among project stakeholders – from business analysts to developers. Maintaining high performance levels that enhance the customer experience, keeping up with the pace of business, and managing end-to-end performance makes everyone, not just QA/Performance Engineers, a steward of product performance. Here’s how.
Testing Center of Excellence
The Testing Center of Excellence (CoE) serves as the trusted testing advisor and the custodian of best practices. The CoE supports different business units, different testing methods (such as DevOps and Agile), and has the flexibility to recommend performance testing and testing tools as needed. To build better testing models and improve test quality, the CoE acts as the single point of consolidating and reusing test data that has been generated and collected across multiple business units over time.
The performance engineer provides a holistic view of all code in development to ensure performance testing criteria is comprehensive, encompasses the bigger picture, and factors all distinct pieces of code in development. The performance engineer is the primary user of performance testing tools and has a high degree of expertise in scripting, designing, running, and analyzing test results. Performance engineering brings the performance engineer to the early phase of development where they can provide performance metrics and scenarios required for code to be considered ready for release. Early involvement means the performance engineer can ensure the solution satisfies the performance expectations set out at the beginning of development. They also confirm that the architecture and design is consistent throughout development.
Developers are experts at coding but often light in both functional and performance testing. They work in their integrated development environment (IDE) and tend to use their preferred tools with little inclination toward learning new ones. Performance engineering shifts-left performance testing which brings it into the software developer’s area of responsibility. With input from the performance engineer, software developers can run performance testing while writing code. The developer doesn’t release their code before it passes performance testing criteria.
The devtester doesn’t exist in classic performance testing since there are clear distinctions between software developers and performance engineers. With performance engineering, the devtester emerges as a stakeholder that connects performance engineering and developer teams. They bridge the gap by having solid coding and testing skills though not quite at the same level of expertise as the developer and the performance engineer. They can run tests quickly and have much greater flexibility than developers in using different tools as is needed.
Business Analysts and Application Engineers
By shifting-right the testing, performance engineering brings on board business analysts and application engineers. This guarantees that business and application performance requirements defining the quality of the user experience are incorporated into the performance criteria. These two roles monitor the app in production to ensure top-notch application performance at all times.
Performance engineering is transforming the software development landscape as well as the job descriptions of all who are engaged in it. And with a greater number of roles now involved, the need for tools and technology to streamline the process is greater than ever before. Performance engineering calls for end-to-end integration and collaboration from right-to-left and left-to-right along with real-time insights and analytics. Traditional performance testing vendors aren’t adequately equipped to address this wave of chaotic change. OpenText though has the proven experience and technology solutions to convert the test chaos into engineered order.
OpenText performance engineering open architecture supports testing across any protocol and application type in any development environment. It permits stakeholders, from developers to business analysts, to use numerous vendor and open source tools so as to enable complete CI/CD integration at scale. OpenText tool integrations provide the ability to quickly eliminate the wait time of development and the testing that slows down application delivery. The integrations do this by enabling the rapid creation of realistic simulations of APIs, network conditions, and virtual services. OpenText performance engineering solutions build upon existing on-premises or cloud infrastructure and promote asset reuse to take advantage of existing investments. This helps scale quickly to meet the demands of performance testing of multiple applications across the enterprise.
Traditional performance testing did not begin until functional testing was complete and didn’t start identifying defects and root causes until the end of performance testing. OpenText performance engineering entails continuous end-to-end measurement and analysis of defects to pinpoint root cause in real-time even before the performance test ends. Performance criteria are included in definition and requirements of ‘done’. OpenText real-time analytics help the performance engineer provide feedback to the developer fast so as to initiate troubleshooting early in the development process. Synthetic monitoring and real user monitoring in production provide insights into performance issues that have escaped testing and must be fixed in the next release. Capture and analysis of end user sentiment from a performance perspective provides more specific feedback to developers so as to optimize the application for better performance.