

devopsbay undertook a comprehensive project to develop a custom platform for Paperspace, a leading cloud computing company known for its innovative approach to machine learning and AI. This implementation utilized a sophisticated blend of advanced technologies, including Kubernetes, Golang, Python, Node.js, SQL, and RabbitMQ. The primary objective was to create a robust and scalable solution that effectively meets the growing demands of the organization and its clients.
The successful deployment of the platform was marked by high-quality code, effective collaboration among teams, and enhanced operational capabilities. The end product not only met but exceeded initial expectations, paving the way for future innovations.
Onboarding & Team
Reorganization
Main Feature
Development & Growth
Handover
Training & Documentation
Onboarding & Team
Reorganization
Main Feature
Development & Growth
Handover
Training & Documentation
Objective:
Implement Lean principles, reorganize the team structure, and introduce improved planning practices.
Activities:
- Onboarding & Knowledge Transfer: Paperspace provides detailed specifications for the custom platform, covering functional requirements and performance expectations, ensuring all team members are aligned on the project's scope.
- Team Reorganization: Shift to Lean methodology and organize the team around atomic, manageable tickets for better planning and execution. This will foster clearer responsibilities and improve coordination.
- Process Improvements: Encourage teams to better organize themselves and adopt more efficient workflows, ensuring that everyone understands their roles and tasks clearly from the start.
The project maintained high standards of code quality through continuous integration practices and code reviews, resulting in a stable product ready for future enhancements.
Integration with Paperspace's internal team was seamless, facilitated by tools like Jira for task management and Quip for documentation sharing. This fostered a culture of transparency and accountability among team members.
Devopsbay's deep expertise in Kubernetes significantly enhanced the project's success by ensuring that deployment processes were efficient and reliable. This expertise allowed Paperspace to leverage cloud-native capabilities fully.
The project maintained high standards of code quality through continuous integration practices and code reviews, resulting in a stable product ready for future enhancements.
devopsbay took ownership of key parts of the Gradient platform, focusing on:
The platform was restructured into a microservice architecture, enabling independent scaling - services could scale individually based on traffic demands, avoiding unnecessary resource allocation and efficient resource usage - low-demand services utilized fewer resources, while high-demand services scaled dynamically to maintain performance.
devopsbay restructured Paperspace's technical teams to promote autonomy and accountability - transitioned from a centralized team structure to smaller, cross-functional squads aligned with product features. Empowered teams with end-to-end ownership of specific modules, reducing dependencies and increasing productivity.
To address the inefficiencies of sprint-based development, devopsbay implemented lean principles and micro-deployments. Focusing on delivering continuous value to users by prioritizing small, incremental changes over large, infrequent releases. Teams were encouraged to deploy updates multiple times a day, quick resolution of issues, and validation of new features.
The project’s success relied on seamless collaboration among diverse roles: Python Developers, Machine Learning Engineers, QA Engineers, Front-end Developers. By leveraging tools like Jira and Quip, teams communicated effectively, aligned goals, and fostered a transparent, cooperative environment. This enabled high efficiency and ensured project milestones were met on time.
The ongoing collaboration between Paperspace and devopsbay has resulted in the successful development and deployment of a custom platform tailored specifically to meet industry demands. This project highlights devopsbay's proficiency in Kubernetes, effective project management methodologies, and unwavering commitment to delivering high-quality software solutions. Looking ahead, it is advisable for both teams to establish tools that minimize remote work friction further while enhancing real-time collaboration among teams. Continuous improvement initiatives will be essential as both organizations strive to innovate further in cloud computing and machine learning domains.
Devopsbay helped a multinational manufacturing company on a project to speed up the data preparation process by 70% by implementing DataRobot Data Prep. The project focused on automating the cleaning and transformation of data from multiple sources, significantly reducing the time required to prepare data for analysis.
Devopsbay worked with Algorithmia on a platform for managing AI/ML models. We implemented central management and flexible deployment options. We added integrations with Kafka and Bitbucket SCM. The results were faster model deployment, better scalability and lower operational costs. The client gained a comprehensive tool for managing the lifecycle of AI/ML models.