SmartBear’s Nikhil Kaul and Harsh Upreti Present Webinar, “Automated Tests Lack Speed & Scale? Environments Are the Weakest Link,” on Thursday, March 23, 2017
SOMERVILLE, Mass. — March 20, 2017 —
SmartBear Software, the leader in software quality tools for teams, is hosting the webinar, “Automated Tests Lack Speed & Scale? Environments Are the Weakest Link,” on Thursday, March 23, 2017. Nikhil Kaul, Senior Product Manager, Testing Products at SmartBear and Harsh Upreti, Product Manager, API Products at SmartBear, present on how testing and development teams can reduce complexity, time and costs associated with deploying, managing, upgrading and tearing down test environments.
WHAT: Webinar: “Automated Tests Lack Speed & Scale? Environments are the Weakest Link”
WHEN: Thursday, March 23, 2017:
Session 1 – 10:00 a.m. EDT or
Session 2 – 2:00 p.m. EDT
WHERE: Register at:
Higher levels of automation are necessary to deliver quality applications at speed. However, as your test automation process ramps up, your testing efforts still often lag far behind because of speed and scalability issues. To test modern applications, you need to execute UI and API tests, but to build out environments to test against takes time, money and introduces a great deal of operational complexity.
On-demand, cloud-based test environments and service virtualization tools can go a long way to overcome these challenges. In addition to providing industry-leading test automation tools, SmartBear also provides environment management and service virtualization solutions that enable you to run any test on-demand across UI and API. Join SmartBear for a live webinar on Thursday, March 23rd to lean how they enable automated UI tests on-demand in the cloud and service virtualization for API testing.
- Strategies to enable parallel development and testing
- Challenges with environment provisioning and how to overcome them
- Handling UI and API test environment dependencies
- Ways to easily create test environments
- Selecting the right test environments using a data-driven approach