Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Keep company data safe with Chrome Enterprise
Protect your business with AI policies and data loss prevention in the browser
Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
Test automation framework, for building fast, re-usable and reliable system tests under windows OS. It includes a tool for developing automation in .NET, and a GUI tool to compose automation with no coding skills. Learn more: http:/qaliber.org
A model-based test automation framework for GUI applications
This framework supports a wide variety of model-based GUI testing techniques. The innovation lies in the architecture of GUITAR, which uses plug-ins to support flexibility and extensibility. Software developers and quality assurance engineers may use this architecture to create new toolchains, new workflows based on the toolchains, and plug in a variety of measurement tools to conduct GUI testing.
More detail is presented in this publication:
GUITAR: An Innovative Tool for Automated...
Jdptool is a debug and profiler tool which based on JPDA; It provide both swing based and browser based GUI. It has sophisticated debugger without user interfere. It also provide profiler to memory usage and threads with numerous new feature
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.