How we solve real problems for our clients

See all our highlighted use cases at a glance. We are constantly adding new ones as we realize more projects with our customers.

Legacy Migration into the Cloud

Shift-Left

PaaS

DevOps

Problem Statement

Having to migrate a large landscape of legacy applications to the cloud without exhausting existing DevOps resources.

Solution with Codesphere

  • Eliminated DevOps Bottlenecks: By stripping away the need for a DevOps team, Codesphere eliminates bottlenecks and enables teams to do more with the same resources.

  • Enabled Ownership: Without the need for in-depth knowledge of complex tools like Kubernetes, developers can now take ownership of their applications' infrastructure.

  • Improved Cost-Efficiency: Codesphere's off-when-unused environments allow for the creation of development environments while keeping operational and infrastructure cost significantly lower than before.

  • Introduced Standardization: By implementing Codesphere, our standardized CI/CD definitions and workflows now facilitate a cleaner and more organized development process.

Modern & Easy Orchestration on Custom Data Centers

Custom Infrastructure

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DX

Problem Statement

Struggling with establishing streamlined development workflows with great Developer Experience (DX) that can easily adapt to an ever-evolving project landscape.

Solution with Codesphere

  • Faster Workflows: Codesphere manages containerization, eliminating the need to convert applications into Docker images or Docker Compose setups, regardless of the application's size.

  • More Efficient Infrastructure: Codesphere's infrastructure handling makes it a cost efficient solution, eliminating need for pricey set up before writing the first line of code.

  • Improved DX: By using Codesphere as the frontend, they were able to leverage DX Codespheres benefits and turn their hardware and private cloud into usable increments for their developers.

  • Attracts Talent: New talent is hard to find and wants to work on interesting problems with modern technologies. Codesphere empowers teams in restricted sectors to do just that.

Worldwide Standardized Deployments

Custom Infrastructure

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Problem Statement

Operating datacenter with different providers across the globe leads to a really fragmented deployment landscape and inefficient processes, a nightmare for central dev teams.

Solution with Codesphere

  • Global Infrastructure: We enable our users to chose the right data center per region and have only one deployment process. No matter if they’re installing Codesphere on Bare Metal, Hyperscalers or using it as PaaS.

  • Environment Management: Provides a centralized platform for managing and tracking multiple development environments, simplifying environment management and reducing configuration drift.

  • Security & Compliance: Improved data privacy and security by encrypting files at rest and in transit, supporting various authentication methods, and adhering to industry standards and regulations.

  • Cloud Resource Optimization: Codesphere will pack existing hardware with more workspaces, increasing the density of defined workspaces on an infrastructure that otherwise would already be too small to handle.

Affordable Self-Hosted AI Use Cases Without Complexity

GPU

Data Privacy

DevOps

Problem Statement

Using LLMs in pair with sensitive data can be a challenging task as managed LLMs use data for further training. Self hosting LLMs can lead to significant complexity and costs.

Solution with Codesphere

  • No DevOps Needed: Codesphere eliminates the need for dedicated DevOps teams to set up reactive inference.

  • Cost-Efficiency: Codesphere drastically lowers the cost of custom hosted LLMs, making custom AI-cases affordable.

  • Cutting Edge Hardware: We offer the latest hardware such as T4 and A100 GPUs and are constantly updating our offering.

  • Data Ownership & GDPR: Each AI solution is hosted and governed by order of customer. This way the solution is encapsulated and can be safe to operate on any given GDPR background.

Using Codesphere as a Front End to Orchestrate Your Hardware

GPU

AI

Cloud Frontend

Problem Statement

Turning existing hardware into cloud ready entities that can be resold to end users typically require massive development projects to orchestrate the computing and distribute via a frontend.

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Solution with Codesphere

  • Intuitive Developer Experience: Install optimized frontend & managed services to your datacenter(s) with minimal effort.

  • Faster Cold Starts: Through patented technology, Codesphere can switch GPUs on and off within milliseconds resulting in major cost savings (scale to 0) for low traffic apps.

  • More Efficient Allocation: Faster activation/deactivation of GPUs, allows them to be promptly redistributed among users, allowing to operate with higher margins.