Application & Data Platform Architecture

Application & Data Platform Architecture:

○ Responsible for the design and evolution of software applications and data platforms.

○ Defines robust, scalable, and forward-looking architectures, particularly for digital archiving and interactive personalized content systems.

○ Ensures effective data management, analytics capabilities, and adherence to database best practices. Database implementation is determined by workloads and business logic, often within microservices-based applications.

○ Doxee’s implementations utilize a variety of databases, including SQL (PostgreSQL, MySQL) and NoSQL databases (Key-Value Stores like Redis; Time-series Databases like Prometheus; Graph Databases like Neo4j, GraphDB; Wide-column stores like Redshift, Cassandra; Document stores like MongoDB).

○ Utilizes Message Queues (Kafka, RabbitMQ, Amazon SQS) and Object Stores (Amazon S3, Minio).

○ Addresses seamless integration across the technology landscape via an API-First Approach, predominantly using REST APIs.