SMS Processing Cluster Architecture

SMS processing had to handle request spikes and traffic peaks with clearer capacity planning. I designed and estimated a cluster architecture around In-Memory Data Grid, BigData processing, and reliable load management during high-demand periods.

The cluster design covered GlassFish Server, NoSQL integration, load-balancing mechanisms, capacity planning, and effort estimation for SMS processing infrastructure with varying traffic loads.

• Cluster Architecture Design: Scalable SMS processing cluster, load balancing, peak traffic management
• Capacity Planning: Request spike handling, traffic analysis, performance estimation
• Technology Evaluation: In-Memory Data Grid, BigData processing, NoSQL integration assessment
• Enterprise Integration: GlassFish Server deployment, JPA/Hibernate persistence, Google Guice dependency injection
• Effort Estimation: Project planning, resource allocation, implementation timeline development

• Architecture-First Design: Scalable cluster design, load balancing strategies, peak traffic handling
• Technology Assessment: In-Memory Data Grid evaluation, BigData processing capabilities, NoSQL integration
• Capacity Planning: Request spike analysis, traffic pattern evaluation, performance optimization
• Enterprise Integration: GlassFish Server, JPA/Hibernate, Google Guice, MySQL database integration