In this session, Naman Kapoor talks about the evolving landscape of testing functions, including manual testing, automation, and roles like SDET. Gain a front-row view of industry trends, top countries, and leading companies shaping the future of testing. Naman explores the current perception of testing roles and delves into what tasks can be automated by AI and the unique strengths of human testers.

Our advanced bundle offers advanced automated testing with AI and device cloud capability to cover all bases.

Explore the seamless integration of GitOps with WSO2 API Platform for Kubernetes (APK) in this enlightening screencast session. The need for a robust API management solution that fits naturally into the Kubernetes ecosystem has never been more critical. WSO2 APK emerges as a solution designed to harmonize with Kubernetes-native practices, offering native GitOps integration to API lifecycle management. This session delves into how WSO2 APK not only simplifies the deployment and management of APIs within Kubernetes clusters but also enhances operational efficiency and consistency through GitOps methodologies.

In this session, Vandana Verma explores the intersection of AI and security in software development. Vandana delves into the potential of AI-powered coding tools like GitHub Copilot and ChatGPT to accelerate project delivery while highlighting the inherent security challenges they pose. Through a hands-on demonstration, Vandana showcases the construction of a demo app using GitHub Copilot, followed by the identification and exploitation of vulnerabilities within the AI-generated code.

In the world of microservices, networking and Observabilty is always a challenge, often there are different methodologies used. A service mesh is something that standardizes this. Istio service mesh is a mature framework that runs in K8s and provides a standard interface for this In this session we will do a istio 101 and go over how a service mesh helps with microservices and hybrid architectures.

Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

As organizations scale, data systems often don’t scale perfectly along with them. Data silos, data quality, and tedious technical maintenance - these are just some of the obstacles that enterprise data teams grapple with. In this webinar, Cade Winter, Director of Solutions Engineering at Hevo Data explores the advantages that a cloud-based SaaS approach can provide for large datasets, and how exactly you can implement one to handle your enterprise ELT effectively.

In this video, We will be seeing how to create testcases of popular JavaScript runtime and Toolkit BunJS based application.