Amid the escalating buzz surrounding AI in the testing landscape, it's critical to identify the real, actionable benefits that AI can provide. This webinar ventures beyond the hype to explore the substantial impacts of AI integration on testing organizations—from role adjustments and productivity measurements to process enhancements. We will also discuss the qualitative and quantitative ROI that can be achieved by adopting an AI-first approach, supported by high-level case studies and analysis of cost reduction drivers. If you are leaders of QA, Engineering, or Product organizations, this session is for you! Join us to translate the potential of AI into tangible advantages for your organization.
End-to-end testing is essential for monitoring your applications to ensure your users can get through their key journeys as expected. The shift towards agile development workflows has made it increasingly time consuming for teams to create and maintain these tests, especially when they deploy code changes on a daily basis.
Some key challenges to traditional testing include:
- Writing code to test your applications can limit the number of people who can create tests and takes bandwidth away from your engineering team
- Maintaining your own infrastructure to deploy and run tests is challenging and costly
- Siloed testing and monitoring tools for troubleshooting that remain separate from your existing monitoring stack
Datadog Synthetic Monitoring enables application engineering, quality assurance, and DevOps/SRE teams to simplify, automate, and scale their testing workflow.
Join us for a demo on how to:
- Quickly configure API tests to verify your endpoints and simplify test creation with no-code, self-healing browser and mobile tests that simulate real user journeys
- Test comprehensively across global locations, browsers, devices and network protocols
- Shift-left by incorporating synthetic tests into your CI/CD pipeline for earlier issue detection and to ensure safe releases
Learn more about Datadog here.
Speakers
Lauren is a Product Marketing Manager for Synthetic Testing and Monitoring at Datadog. Prior to Datadog, she was a field marketer and solutions engineer at IBM for cloud cost management and cybersecurity solutions, respectively. Born and raised in Miami, FL, she currently lives in New York City and enjoys discovering great restaurants and reading in her free time.
Hakan Bakkalbasi
Hakan is a senior product manager working on Synthetic Monitoring and Testing at Datadog. Prior to Datadog, he was a product manager and engineer at Addepar, Automattic, and S&P Global. Hakan is based in New York, NY.