Webinar: Better Testing with Visual Studio for Developers and DevOps

Developers around the world are discovering that load testing isn’t just a one-off project or something you wait until the last minute to do.

Integrating load testing into your DevOps and Continuous Integration lifecycle helps you achieve a few things.

  • Load testing is yet another task you can automate — and we know that’s a good thing
  • Understand the performance impact of each code commit
  • Plot your app or website’s performance trend over time
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Load Testing Execution Phase 3: Continuous Delivery

In the first installment of this mini-series, we outlined how you efficiently prepare for performance testing. In the previous article, we got into the nitty gritty of what tests to run, and how to run them.

The final step toward ensuring you’re shipping high-performance applications and websites is to continuously test throughout your software development lifecycle.

If you’re a DevOps-minded organization that’s already working with Continuous Delivery and Continuous Integration (CD/CI) tools, then you’re off to a great start.

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Video: Overload Impact

tl;dr — One of our awesome users created a command line framework built on top of the Load Impact SDK. Here’s an overview of the tool:

  • Command line tool and framework for writing and running tests suites for loadimpact.com, with support for custom lua libraries
  • The tool uses the Load Impact Python SDK and API
  • Overloadimpact can fire sets of test_configs, create reports and statistics, and reuse code between test scenarios

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Load Testing for Banking Software

As the leading cloud-based performance and load testing solution on the web, Load Impact is all about helping developers understand how their projects will perform in various situations.

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Test Automation and the Spirit of DevOps

Photo Courtesy of StockSnap.io

Faced with the growing appetite for innovation, business agility and cost savings, progressive organizations rally around DevOps-driven values of collaboration, quality and automation.

These capabilities are key to accelerating growth and enabling valuable competitive differentiation with high quality software delivered and deployed at the rapid speed of business demand within budget.

These unprecedented efficiencies result from the infusion of test automation tools and practices as a holistic approach to embracing the true spirit of DevOps in the form of continuous testing, integration, delivery, release and deployment.

Why Automate Testing?

Manual tests designed to exercise and test application functionality compare actual results to ideal or desired performance and report the outcomes. These tests are typically conducted on a frequent basis every time the application changes.

In some cases, QA has to repeat these tests for various combinations of system configurations, operating systems and component integrations.

Manual intervention and limited human capacity lead to error-prone testing procedures that disrupt agility in deploying software applications.

Software defects and costly delays are inherent in traditional manual testing practices when the code is available for testing only after developers throw it over the wall.

QA tests the code for defects and returns it back for developers to try and apply quick fixes, build another version and send it back for testing. This process repeats and forms a death spiral in action that forces Ops to tolerate some software defects and release the application into production.

Each iteration introduces additional technical debt and impacts software quality, functionality, reliability and increases the workload for developers, Ops and QA alike.

The ability to automate repeatable testing practices is critical for QA and Ops to catch up with the fast pace of Agile development sprints and bring agility to the DevOps testing cycle.

Automation Drives the DevOps Testing Cycle

The DevOps methodology aims to bring order to the otherwise complex and chaotic world of software development, testing and production.

The concept eradicates turf wars among siloed departments and independent teams that must work collectively to enable productivity throughout the application lifecycle.

Eliminating siloization among working groups and establishing meaningful connections to facilitate productive and collaborative relationships fosters innovation as much as organizational culture.

The true essence of the DevOps movement lies in providing the right tools and mechanisms that effectively enable this innovation and cultural change.

The potential of continuous testing is gaining steam in revolutionizing DevOps efforts. The practice requires DevOps teams to shift testing to the left, beginning early during the development lifecycle and spanning quality assurance across the delivery pipeline.

The enhanced test coverage and continuous feedback to all stakeholders enables informed decisions, removes waste and strikes an optimal balance between speed and quality.

The DevOps end-goal of automated and continuous deployment is practical only as long as each iteration yields consistent improvements.

The notion of quality is weaved into the fabric of DevOps, which relieves QA's responsibility of constantly identifying defects and starts a process of avoiding many of them in the first place.

Continuous testing in the DevOps world has to start with developers leveraging automated performance testing tools to ensure the entire code is error-free by the time it is delivered to QA.

This is the first major step toward continuous delivery as the application is built, packaged and deployed into a production-like environment for testing. Provisioning new instances for this QA environment is typically expensive, complex to maintain and is limited in availability.

These issues in turn necessitate further automation, in the form of infrastructure automation and service visualization for rapid provisioning and horizontal scaling of powerful and dedicated resources to execute all tests in parallel.

Delivering every iteration to a staging environment using automated systems enables push-button deployment into production as soon as the organization is ready.

Automating with Load Impact

To embrace the radical new DevOps-driven paradigm shift of supporting automation and continuity across all testing practices, organizations must empower developers, Ops and the QA police with next-generation test automation solutions.

The business value of test automation comes down to capabilities that effectively accelerate end-to-end application delivery at low cost and against aggressive timelines.

By integrating with the Load Impact API, DevOps-driven organizations can identify defects faster and accurately, perform quick fixes and pursue unprecedented performance improvement opportunities in deliver high quality applications at accelerated speeds while maximizing profitability.

— Ali Raza, a contributing writer for Load Impact's blog, is a technology consultant and research analyst with leading Fortune 500 companies, promising new startup firms and major international publications. As a racing driver and a stunt master, only cars eclipse his love for technology.

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Load Testing the Scalability of Your App & Infrastructure

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