Automate the Lab
Modern development processes that use continuous integration/deployment to accelerate time-to-market are making automation an imperative. Unfortunately, the sophisticated and expensive equipment required (product under development, test tools, infrastructure, software, etc.) is often located in silos around the company, simultaneously under-utilized and inaccessible to many. The answer is to create a self-service, on-demand, automated, and flexible environment, so that for example, a remote Jenkins server can initiate a complete regression, accessing and configuring both on-prem physical and virtual assets across multiple locations, as well as public cloud infrastructure.
- Model and provision complex infrastructure and test bed sandboxes that may include physical, virtual, cloud, and network components
- Deploy sandboxes interactively via a self-service catalog or automatically via external processes via REST API
- Allow 24/7 global access to labs and data-centers
- Minimize hoarding by automating setup and teardown of sandboxes on demand
- Federate global sites into single self-service cloud
- Manage, track, and control infrastructure usage down to port level
- Enable dynamic power control for true “lights out” operations
Who Are Software-Defined Labs For?
Software-defined labs are suited for teams conducting ongoing network testing, particularly those with complex lab environments or those that are distributed across internal groups or facilities.
- Carriers—accelerate service onboarding, testing of updates and patches, developing and testing new services
- Network Equipment Makers—integrate SDL into your DevOps continuous integration, deployment, test and delivery into product development, facilitate solution demonstrations to prospective customers, and reduce customer support time
- Enterprises—simplify onboarding, developing and testing new services
- Security—enhance cyber range training with easily customizable scenarios
Faster Time to Market
Sandboxes with repeatable blueprints slash environmental setup and configuration times, speed QA and validation cycles, enable consistency across lifecycles, and reduce complications when pushing to production.
Software-defined labs reduce hoarding, redundant purchases, and overall spend by pooling labs and resources across the organization and automating physical-layer connectivity. Now you can get better ROI through maximized utilization of test equipment and reduced waste and overlap while delivering cloud-based access to users anywhere in the world.
See who is using which resources and how much they are using them. Enjoy better insights and easier scheduling with easy-to-use web-based dashboards.
By modeling production-like environments earlier in the software or product lifecycle and integrating with continuous processes, defects can be caught earlier, test and innovation shifted left, and overall quality increased.