Everything You Need to Shift-Left Performance Testing Across Your Organization - Part 2
October 04, 2018

Chris Colosimo
Parasoft

How do you integrate tools to enable shift-left performance?

Start with Everything You Need to Shift-Left Performance Testing Across Your Organization - Part 1

Selecting the right tools for a shift left performance testing process is important, but not as important as using them together in automated workflows. Testers should be using specialized commercial tools that enable them to create performance tests in an automated way. Developers can use similar tools to optimize their efforts or to create low-level scripts to drive automation and load.

The following tools will simplify maintenance, can be managed in a centralized way, and provide an easy-to-use UI to comprehend results.

A functional testing tool

Functional testing should already be a part of your continuous testing strategy. The tool you select for functional test automation should focus at both the API layer of the application (to simplify the test case execute action and maintenance) as well as the UI layer (for end-to-end and user experience testing). Functional testing tools are used to create baseline (re-use) execution paths, whether at the UI level or at the API level. These execution paths match up to user stories, so there will be a correlation between the performance test’s result and the user story that is impacted.

A performance testing tool

Specifically, you need a performance testing tool that can consume the functional testing artifacts and run them under load. These tools should have a variety of load control parameters such as number of virtual users or transactions over time. These tools should then report into a centralized dashboard for aggregating results.

A service virtualization tool

Service virtualization tools address the missing components of monolithic applications in the early stages of shift-left performance testing. One of the primary challenges you will face in early stage performance testing is a lack of supporting infrastructure, by parallel development efforts or third-party components. By establishing the baseline of those dependent systems and modeling them in virtual services, you can create similar application baseline conditions to production and laser focus on individual component performance during your test.

A continuous integration tool

Shift-left performance testing works best when it’s an automated process. If automation is deployed, "performance testing" means simply the review/maintenance of the automated performance tests, reducing time to execute tests over the long run since the process is automated and not manual. Your CI tooling should enable you to execute the performance tests as a function of code check in so that consistent performance tests can run nightly.

A centralized dashboard for aggregating results

A centralized dashboard is important because it enables users to understand the incremental impact of component performance tests by displaying trending information by project, component, API etc.

Your centralized dashboard should provide the ability to automate performance tests, define SLAs that turn the performance tests into pass/fail indicators, and see historical trends. Additionally, the reporting dashboard should provide details that link performance tests to their initial requirements so the business can properly prioritize issues that arise, as well as the high-level pass/fail view and, at the same time, every little detail, so you can determine the causes of failures after they have been detected.

The shift-left approach adds developers as dashboard users (in addition to managers and testers), so the dashboard has to have the low level details that the developers are looking for to effectively investigate and establish the causes for SLA failures or historic trends.

Summary

Consumers are burnt out with constant hot patches and performance optimization updates. They hunger for new features and functionality. Since performance testing is traditionally done at the end of the cycle, it inevitably impacts delivery deadlines, and as such it is looked at through a negative lens. By federating out the performance testing process and enabling agile teams to adopt a "shift left," iterative approach to performance testing, issues can be identified early. Not only does this ensure that technology decisions made can be easily assessed for performance degradation, but ultimately provides a more performant product overall by optimizing each individual area and laser focusing on performance.

Chris Colosimo is a Product Manager at Parasoft
Share this

Industry News

December 12, 2019

Accenture launched the Accenture Cloud Native Core Solution to help enterprises leverage the public cloud for maximum business agility and results.

December 12, 2019

SmartBear released CucumberStudio.

December 12, 2019

Upbound, the company behind open source projects Rook and Crossplane, announced an integration to manage multiple cloud services from a single interface in GitLab.

December 11, 2019

Bonitasoft announced that the Bonita platform is now available with advanced low-code features that permit better collaboration between citizen developers and professional developers.

December 11, 2019

Solo.io announced WebAssembly Hub, a service for building, sharing, discovering and deploying WebAssembly (Wasm) extensions for Envoy Proxy-based service meshes.

December 11, 2019

Datawire unveiled the new Ambassador Edge Stack 1.0, an integrated edge solution that empowers developer teams to rapidly configure the edge services required to build, deliver and scale their applications running in Kubernetes.

December 10, 2019

Redgate Software launched its fourth annual State of Database DevOps Survey.

December 10, 2019

Compuware has signed a definitive agreement to acquire the assets of INNOVATION Data Processing, a provider of enterprise data protection, business continuance and storage resource management solutions serving the mainframe market.

December 10, 2019

Dynatrace announced its Autonomous Cloud Enablement (ACE) Practice to accelerate DevOps’ movement to autonomous cloud operations.

December 09, 2019

NS1, announced the expansion of its suite of integrations to include Kubernetes, Consul, Avi Networks (VMWare NSX), NGINX, and HAProxy.

December 09, 2019

CloudBees announced an extension of its partnership with Google. As a Google Cloud Run launch partner, CloudBees will offer developers more flexibility in their deployment of containerized applications.

December 09, 2019

EPAM Systems has expanded its crowdtesting software solutions to enable user story testing.

December 05, 2019

Parasoft announced the newest release of Parasoft C/C++test, the unified C and C++ development testing solution for enterprise and embedded applications.

December 05, 2019

Datadog announced Security Monitoring, a new product that enables real-time threat detection across the entire stack and deeper collaboration between security, developers, and operations teams.

December 05, 2019

Pulumi announced the availability of Pulumi Crosswalk for Kubernetes, an open source collection of frameworks, tools and user guides that help developers and operators work better together delivering production workloads using Kubernetes.