Hello!
The team at Ulap is passionate about enabling developers and data scientists to quickly and securely build and deploy solutions on their cloud of choice. As a result, we built a cloud-native data platform that enables teams to securely deploy cloud infrastructure and applications through the automation of CloudOps. This allows developers and data scientists to focus on delivering new capabilities and models without having to worry about the complexities surrounding cloud deployment and operations. So, how does it work?
What Is Ulap All About?
Ulap securely integrates with the leading global cloud providers in order to enable users to deploy and operate cloud infrastructure. In addition, it also provides users with the ability to deploy open-source applications optimized by the Ulap team—or custom applications developed by customers.
Teams that use Ulap are able to:
- Deploy and operate cloud infrastructure via click-button wizards
- Deploy pre-configured open-source applications via click-button wizards
- Deploy custom applications via click-button wizards
- Monitor cloud infrastructure and applications via a single user experience
The Cloud Native Data Platform of Your Dreams
If you've been searching for a solution that caters to your team's needs, this is it. No longer will you have to experience delays you've been enduring for as long as you can remember. When you want to accomplish your goals, you need a platform that works with you to achieve them on your schedule.
Ulap is a truly cloud-native data platform that enables teams to securely work together in a single unified platform. Teams now have the ability to quickly and securely deploy cloud resources to their cloud of choice, without having to deal with the complexities of deployment. Sounds like a relief, doesn't it?
Developers, Data Scientists, and Ops United
Ulap provides teams with secure workspaces for them to all work in single location. Within each workspace, members of the team can deploy and operate Kubernetes clusters in order to deploy applications, interact with data, and monitor the platform.
Once the resources are deployed, teams can deploy open-source applications in order to create their open-source and cloud-native data platform. Additionally, Data Science teams can deploy leading Data Science technologies in order to build, train, deploy and operate ML models and applications.
The best part? All of this can be done via a single user interface.
What's Next?
Upcoming blogs will provide step-by-step tutorials for using Ulap to create a secure workspace for your team to deploy Kubernetes clusters and open-source applications and custom applications. If you want to learn more about Ulap, please check out our website or register for a free 30-day trial.
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