Scalable InfrastructurePlanning network deployments with growth in mind.

Scalable Infrastructure

By implementing a scalable infrastructure model to network design and deployment, future capacity requirements can be met by establishing these considerations in the present. The design of scalable infrastructure ties in closely with redundant models as critical infrastructure is provisioned with a level of excess capacity. By using flow analysis and organization growth projections, we can create scalable designs accounting for these requirements while factoring in both organic and strategic growth models.

Altexxa Group believes strategic growth planning plays a key role in the development of scalable infrastructure models. We also believe the scalable model applies not only to physical assets but also logical application and service design. The implementation of a scalable model is applied in network topology, physical infrastructure, logical infrastructure and application layer.

Key Points

  • Establishing present and future requirement considerations
  • Flow analysis and growth projections for factoring requirements
  • Physical and logical implications for scalable models

Considerations

Scalable infrastructure design requires working with projected growth and maintaining redundancy models while allowing for capacity variables. For a base reference when working with determining growth, we can examine the six stages of growth model as published in the Harvard Business Review by Richard L. Nolan. We must also consider the tools of measurement when working within growth models and developing projections. Variations in organizational growth models may also require considerations to determine relevance within our projections.

Developing the required considerations relating to the platform itself involves review of vendor and provider capabilities, and if the offered products and services show compatibility with the scalable model. This factor becomes increasingly important if an existing infrastructure deployment produces logistical conflicts with a scalable model, and determination is needed regarding resolution of these conflicts.

  • Analyzing growth models and generating projection considerations
  • Vendor and provider compatibility within scalable model
  • Determining logistical conflicts of existing infrastructure

Automation

Working in a scalable model, we can design and deploy automation solutions to allow infrastructure to scale on demand. These solutions are software based orchestrators which analyze flow metrics and bandwidth availability to determine traffic paths through network layers. This allows for rapid link provisioning for burst scaling, and builds upon the scalable infrastructure model for future expansion once physical limitations have been addressed.

Altexxa Group places strong importance on the need to develop and deploy automation systems within a scalable infrastructure model. The scalable model must also work with the redundancy model to ensure capacity considerations are made.

  • Infrastructure to scale on demand accounting for growth requirements
  • Software orchestrators to analyze flow metrics and bandwidth availability
  • Working with other infrastructure models to ensure compatibility

Implementation

Implementing a scalable infrastructure model begins with physical availability requiring devices be selected based on expansion capabilities. We utilize modular chassis design for border and core infrastructure which allows for ease of expansion to scale with organization needs. Device connectivity also requires review of growth projections to determine sizing needs. Logical design of core infrastructure will utilize multi-link protocols to allow additional link scalability.

Altexxa Group believes scalable model implementation is a requirement for establishing successful long term growth. Limitations caused by bandwidth bottlenecks can be avoided by the design and deployment of scalable infrastructure.

  • Modular chassis design for border and core infrastructure
  • Working with growth projections within scalable model
  • Avoiding bandwidth limitations during network growth

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