Azure DevOps for the Data Science and Machine Learning platform, DataRobot, for a renowned American EdTech organization
Industry:
Education Technology (EdTech)
Region:
USA
Technology:
Azure DevOps, ML
About the Company
A renowned American organization delivering both online and on-campus postsecondary education, offering a range of undergraduate and graduate programs, partnered with Evoke Technologies to modernize its infrastructure deployment processes. The engagement focused on creating a scalable, secure, and automated cloud environment to support the deployment of its Data Science and Machine Learning platform, DataRobot. Evoke Technologies implemented Infrastructure as Code (IaC), CI/CD pipelines, and automated provisioning on Microsoft Azure to improve deployment speed, consistency, and manageability.
Challenges
- Manual Deployment Process: The fully manual deployment process led to inefficiencies and errors.
- Security and Compliance Concerns: Lack of secure and standardized management of secrets and configurations posed potential risks.
- Lack of Visibility and Control: Insufficient tracking and control across environments hindered effective deployment management.
- Difficulty in Artifact Management and Version Control: Complex and time-consuming artifact and version management processes affected deployment efficiency.
Solutions
- Evoke created Infrastructure as Code (IaC) using Terraform and ARM templates. This setup enabled auto-provisioning of several Azure services. These tools were used to streamline and secure the deployment process and its infrastructure in the cloud
- Evoke’s Azure-powered CI/CD pipelines automated the deployment infrastructure, ensuring seamless and error-free deployments
- The solution also provided periodic checks and validation of application performance and deployed infrastructure
Results
- Faster Deployment: Enabled quick deployment of packages to development, staging, and production environments, reducing time-to-market.
- Improved Deployment Quality: Validation and gate checks ensured higher-quality deployments, minimizing errors and enhancing reliability.
- Enhanced Tracking: Facilitated easy tracking of key metrics, logs, and performance data, providing real-time insights into system health.
- Compliance Assurance: Helped meet compliance requirements, ensuring the deployment process adhered to industry standards and regulations.
- Simplified Management: Streamlined the management of Azure Kubernetes clusters (AKS), reducing complexity and improving operational efficiency.
