Systems | Development | Analytics | API | Testing

Software Testing Jobs on 1st June | Automation Tester Vacancies | Curated Job Openings for QAs

This video is an top resource that provides you with the latest job opportunities in the software testing and quality assurance (QA) industry. It allows you to stay up-to-date with the rapidly changing technological landscape by exploring exciting career prospects in both manual and automation testing. Given the high demand for qualified software testers, now is an excellent time to enhance your career prospects.

Exporting data from Countly through DB Viewer

DB Viewer is a plugin that provides a UI to browse databases. But it is also a great option to access Database data through REST API, for example, to export data. In this article, we will explain how to navigate the data scheme and find all the needed information to export events and their granular data from Countly. ‍ Let's say you have some other database, and you want to populate it with data from Countly. Or you just want to prepare some kind of report through a third-party application.

GraphQL Authorization with Konnect, OPA and OIDC

🚀 Join us live to learn about how to implement authentication and authorization for GraphQL APIs using OIDC and OPA with Konnect! 🤝 This tutorial focuses on the solution that can solve for the Authentication and Authorization concerns at the gateway layer. We'll first authenticate users, and if authenticated, then the user’s fine-grain permissions will be evaluated to determine if the user has permission to run the incoming GraphQL request (whether the request is nested or using query variables).

Cloud Data Warehouse: A Comprehensive Guide

With the advent of modern-day cloud infrastructure, many business-critical applications like databases, ERPs, and Marketing applications have all moved to the cloud. With this, most of the business-critical data now resides in the cloud. Now that all the business data resides on the cloud, companies need a data warehouse that can seamlessly store the data from all the different cloud-based applications. This is where Cloud Data Warehouse comes into the picture.

MLOps for Generative AI with MLRun

The influx of new tools like ChatGPT spark the imagination and highlight the importance of Generative AI and foundation models as the basis for modern AI applications. However, the rise of generative AI also brings a new set of MLOps challenges. Challenges like handling massive amounts of data, large scale computation and memory, complex pipelines, transfer learning, extensive testing, monitoring, and so on. In this 9 minute demo video, we share MLOps orchestration best practices and explore open source technologies available to help tackle these challenges.