Software Architecture and Design takes a holistic approach in our architecture design. Our expertise spans horizontally scalable servers, microservice architectures, cloud hosting, distributed systems, asynchronous messaging, and web and mobile-based front ends. We are conversant in multiple object oriented and functional languages, all standard application platforms and integration tools, and we vigilantly apply best practice design patterns.

Custom Software Architecture and Design
Software Architecture and Design Solution makes a rule that our architectural solution fits well with the current application environment. Given a business objective, we identify alternate approaches, explore and then explain tradeoffs between different architectural choices. We bridge understanding from “lines and­ boxes” down to module and code-level development. To bring further value, our consultants help evangelize solutions to technical and nontechnical stakeholders.

We always meet the scaling and robustness requirements of our clients. will design & implement highly-available, scalable, and reliable systems at varying phases of maturity, including:

  • Proof-of-Concept (POC) Prototyping.
  • Production Implementations.
  • Legacy Modernization.

Multi-layer, loosely-coupled, distributed architectures

We specialize in multi-tier, cloud­ ready, enterprise-scale applications. Our offering is based on best practices for selecting the appropriate technology stack.

  • Single page application for web and mobile UI, leveraging best-of-breed open source libraries, or direct native programming on the Android and OSX platforms.
  • RESTful web services – adopting industry standard messaging formats, protocols, documentation and security mechanisms.
  • Adoption of state-of-the-art microservices architecture for server implementations.
  • Introduce highly-scalable NoSQL solutions and mitigate discrepancies with existing relational dependencies.
  • Strike a balance between on-premise vs. cloud architectural decisions.
  • Propose practical legacy integration strategies to preserve existing functionality before a complete migration is absolutely necessary.
  • Design data pipelines feeding transactional data to downstream analytics systems.
  • Inclusion of dashboard-­based real-time monitoring to ensure continued system health.
  • Implement loose-coupling strategies between subsystems to support expansion.
  • Resilience through redundancy, backup, hot-swap architectural techniques; Identify and eliminate single points of failure.
  • Injection of Big Data technologies as first-class design options in order to realize advantages in performance, cost, and simplicity.

On-premise and cloud-based

When choosing between hosting on-premise or in the cloud, you must first understand your workload, risk appetite, and what you are trying to achieve. The market has no shortage of service models, suppliers, and deployment models, with a myriad of cost implications to consider.

The “lift and shift” use case is where the company moves the existing environment completely to the cloud. It eliminates the staffing, maintenance, and capital expenses of traditional infrastructure ownership, and provides cross-region redundancy to fend against man-made and natural disasters. A complete and clean move to the cloud does not always result in optimal cost savings.

Existing systems may be augmented using the “bursting into the cloud” approach where a digital, fast changing presence is established with Big Data analytics, leaving the big product engines behind to retain tight control over security and uptime.

The exact benefit-to-risk equation rests in the analysis of costs while leveraging existing infrastructure. It is crucial to uncover all the hidden costs of each service model before making such a choice. The expert consultants at provide the critical insights and knowledge to help you make the right choice, and follow up with tailored implementation guidance, to ensure that you are reaching your business objectives.

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