Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
Nectar is an employee recognition software built for the modern workforce.
Our 360 recognition & rewards platform enables everyone (peer to peer & manager to employees alike) to send meaningful recognition rooted in core values. Nectar has the most extensive rewards catalog so users can choose from company branded swag, Amazon products, gift cards or custom reward types. Integrate with your other tools like Slack and Teams to make sending recognition easy. We support top organizations like MLB, SHRM, Redfin, Heineken and more.
ReleaseWorks(R) is a suite of tools to help project teams control and automate the process of release management. Using a three stage process of Gather, Validate, and Publish, it provides a robust way of integrating user changes into the release.
A comprehensive incident reporting system incorporating time tracking, multiple projects, holidays, purchasing, reports and many other aspects of running a business. Developed and heavily used by ECONZ over many years, it is a well-proven system.
Collaboration for developers and complete development teams. An approach to integrate bugtracker (Bugzilla), Wiki (MoinMoin), subversion and other tools. Inspired by trac.
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.