Case Study
Leading Enterprise Software Company Achieves 99.99% Faster API Delivery with Jade Global's AI-Native DaaS Platform
Download Case StudyIndustry: Enterprise SaaS
Key Technologies: Azure Kubernetes Service (AKS), Python, FastAPI Framework, Kubernetes Custom Resource Definitions (CRDs), Kubernetes KOPF Operator Framework, ODATA, JSON Filter Mechanism (Lark Library), Docker, Jenkins, CloudBees CI/CD Pipeline, Splunk
About the Client
A leading enterprise cloud software company best known for its IT Service Management (ITSM) platform that digitizes and automates business workflows across IT, HR, customer service, and security operations. Serving thousands of enterprise customers worldwide, the company continues to expand its platform capabilities to help organizations work faster and more intelligently.
Business Challenges
A leading enterprise software company faced increasing challenges as fragmented data platforms, manual API development, and limited scalability struggled to keep pace with growing business and data demands. The organization needed a Data Platform Modernization initiative to unify enterprise data access, enable API Automation, and build a scalable, AI-ready platform.
Key challenges included:
- Data Duplication Across Platforms: Data was spread across several application platforms rather than being managed through a single source, creating duplicate information and governance challenges.
- No Natural Language Processing (NLP) Capability: Since the platform did not support NLP, it could not power AI-driven capabilities or provide intelligent data insights.
- Slow API Delivery: Launching a new data API was a lengthy process, requiring nearly 60 person-days of manual development and deployment effort.
- Scalability Limitations: The existing API infrastructure was designed with fixed capacity, so performance began to decline as data volumes and demand increased.
The Solution
Jade Global partnered with the organization to deliver a comprehensive Data Platform Modernization initiative by building a cloud-native DaaS Microservices Ecosystem on Azure Kubernetes Service (AKS). The solution standardized enterprise data access through data-as-a-service solutions, enabled end-to-end API Automation, and created a scalable foundation for future growth.
Features of the Solution
- AKS Microservices Architecture: The platform was re-architected using containerized AKS Microservices on Azure Kubernetes Service, providing horizontal scalability, high availability, fault isolation, and simplified lifecycle management.
- AI-Native Core Layer: Integrated natural language processing capabilities that translate natural language queries into standard JSON and ODATA filters, enabling intelligent data access.
- Data-as-a-Service Platform: Implemented centralized data-as-a-service solutions that standardize enterprise data access through well-defined APIs, eliminating duplication and providing a consistent data access layer.
- Template-Based APIs: Introduced reusable, configuration-driven API templates that allow production-ready APIs to be provisioned through standardized configurations.
- API Automation: Developed a custom AKS Operator to automate API provisioning, configuration validation, and deployment, reducing deployment time from weeks to seconds. Centralized Data Discovery: Built a common discovery platform that enables authorized teams to browse, search, and access enterprise data assets from a single location.
Key Use Cases Delivered
- Data as a Service Solutions: Standardized enterprise-wide data access through a centralized DaaS platform.
- API Automation: Automated API deployment using Kubernetes Operators and configuration-driven templates.
- AKS Microservices Platform: Built a cloud-native microservices architecture capable of scaling on demand.
- Enterprise Data Discovery: Enabled centralized discovery and access to enterprise data assets for authorized teams.
Business Benefits Achieved
- 99.99% Faster API Delivery: Reduced API development & deployment time from 60 person-days to 10 seconds.
- 96% Lower API Response Latency: Improved API response time from 5 seconds to less than 200 milliseconds.
- 100% Data Discoverability: Enabled centralized discovery and accessibility of enterprise data assets.
- Eliminated Data Duplication: Established a unified data access layer across application platforms.
- On-Demand Scalability: Replaced fixed-capacity infrastructure with elastic scaling through AKS Microservices.
Conclusion
By partnering with Jade Global, the client completed its Data Platform Modernization initiative by implementing data-as-a-service solutions on an AKS Microservices architecture. The solution enabled API Automation, reduced API deployment from 60 person-days to 60 seconds, eliminated data duplication, and delivered centralized enterprise data access through a scalable DaaS platform.
