Everest Tax Calc Application Architecture
About This Architecture
Everest Tax Calc is a Kubernetes-native, multi-cloud tax calculation application built in Java, orchestrated via EKS with dedicated namespaces for application, service, and worker pods. Data flows from external APIs (JIRA, Google Drive, Vertex AI) through an API Gateway and JIRA Agent Service into the core application, which reads source data from Snowflake and logs results to PostgreSQL. Comprehensive testing layers—unit, E2E, and regression suites—validate transactions via a dedicated Validation Framework before processing, ensuring accuracy and compliance in high-volume tax scenarios. This architecture demonstrates cloud-agnostic microservices patterns with clear separation of concerns: presentation, integration, processing, and data layers. Fork and customize this diagram on Diagrams.so to adapt the testing pipeline, add observability stacks, or integrate additional tax data sources.
People also ask
How do you architect a scalable tax calculation application on Kubernetes with multi-cloud integrations and comprehensive testing?
Everest Tax Calc demonstrates a Kubernetes-native architecture using EKS with separate pods for application, service, and worker logic. External APIs (JIRA, Google Drive, Vertex AI) feed into an API Gateway and JIRA Agent Service, which route validated transactions through a Validation Framework before the Java application processes them. Snowflake stores source data and results, while PostgreSQL
- Domain:
- Cloud Multi
- Audience:
- Cloud architects designing multi-cloud tax processing platforms on Kubernetes
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