Service Virtualisation | Network Virtualisation | Lifecycle Virtualisation | Infuse

Environment Management

Service & Network Virtualization (SNV)

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What is it - image

What is it?

  • Lifecycle Virtualisation enables the creation of virtual services, data and networks—mirroring those in production— to simulate behaviour in test and development environments
  • When service virtualisation, network virtualisation, and test data management are combined, you can enable full lifecycle virtualisation
  • While Infuse can use enterprise or open source tools for its service virtualisation and network virtualisation solution, we work closely with Hewlett Packard Enterprise (see the video on this page for more)
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How does it work?

  • Discover and Baseline
    • Analyse your current test environment
  • Design, Build and Pilot
    • Define which actions (policies, standards, processes, guidelines) and toolsets are needed to implement lifecycle virtualisation in the organisation
    • Help customers the choose the right tools for LV
    • Offer a pilot or proof of value to show the selected tools can deliver the Virtualisation required – service virtualisation, network virtualisation, etc. – within the client organization, and that the proposed process can deliver the expected benefits.
  • Deploy
    • Provide a full Lifecycle virtualisation rollout
  • Realise
    • Support and train customer all the way through the process, beyond the rollout.
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Which issues does it address?

  • Complexity – Provisioning a full production environment for testing is a prohibitive cost for most projects and has a number of constraints from a compliance perspective for data, access, etc.
  • Integration – Too many integration issues being caught in integration testing
  • Cost – Expensive third party services need to be replicated
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How does it help?

  • Faster – Remove reliance on operational teams making services available.
  • Smarter – Gather data as it would be in production and play that back as part of a performance test. Reduce the overheads on managing stubs and mocks within development teams
  • Better – Easily model extreme network conditions in a simulated environment without the need for large integrated pre-production environments. By removing these bottlenecks potentially slash your software release cycle by 40%

Introduction to Infuse SNV
Powered by Hewlett Packard Enterprise

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Customer Use Case – 1

pain

You are planning a major new web-presence and e-commerce solution that will generate significant revenue for your remodelled company. Your board is looking for positive press coverage and is seeking a guarantee for successful launch

solution

Virtualize the entire development cycle. The design of the ‘order to cash’ and ‘procure to pay’ solution is replicated entirely in the virtualized system. Real-world customer interactions and work-loads can be simulated and problem areas are identified and solved in a ‘shift-left’ approach that drives confidence. Analyze root cause and validate the optimal solutions, all prior to roll out. Regular reporting to your board using simple RAG status reporting profiles per project stage will help drive confidence.

Customer Use Case – 2

pain

Business is rolling out a mobile application and needs to understand how that app will perform for a distributed user base operating under diverse mobile network conditions

solution

Virtualize real-world network conditions in the test lab, impairing connections for each mobile virtual user to represent unique network conditions (e.g. 2.56, 36, 46). This will provide for a highly reliable performance test that will identify user groups or geographies that could experience performance problems, isolate and diagnose potential issues, and remediate/ optimize performance, all prior to roll out.

Customer Use Case – 3

pain

A major infrastructure change is planned (e.g. data center relocation, cloud, virtualization, mobile migration, QoS, etc.) and the customer needs to understand performance in the future target environment prior to the change.

solution

Emulate conditions in the target environment then test for future state performance; analyze performance bottlenecks to optimize both infrastructure and applications prior to performing the change.