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Infrastructure product vendors often build and maintain expensive shadow labs containing multiple versions of their own products as well as competitive products. While these labs are useful for interoperability testing, they come with a very high opex and capex cost. Developers frequently have to upgrade these system to keep up with the latest and greatest software being released. This is an error-prone, time consuming endeavor.
Mu's approach of rapidly transforming service traffic into test cases to emulate multiple service endpoints drastically reduces the cost of ownership in maintaining these labs. With the Mu Test Suite, product vendors quickly capture service traffic between different versions and vendors of products and use that as the basis for interoperability testing. There is also a high degree in monitoring, reporting and automation in this process to further reduce capex and opex costs.
A key application of this capability is in field issue resolution. Before Studio Fx, when a operator customer reported an issue to a vendor, they frequently provided a packet capture, but traditional test tools do not provide a straightforward way to map the content in the pcap to the local network environment. The customer support lab isn't using the same IP addresses as are present in the customer's network, so the pcap can't be easily replayed without doing a lot of surgery on it. Tedious surgery that has to be manually performed on each packet in the pcap. Enter Studio Fx: Mu's intelligent pcap processing separates the transport from the higher-level protocol sessions. When the Mu Test Suite creates test traffic based on that pcap, it creates brand-new life-like sessions that use local IP addresses and follow the steps of the original pcap, so they are guaranteed to work in the local environment. Now, customer-reported issues are quickly converted into actionable, reproducible bug reports that can be quickly processed through Engineering and QA teams.
This allows testing teams to verify that the latest version of their product continues to work seamlessly with other systems. Using proven Data Driven Testing methodologies, testing teams now rapidly run large number of test cases across a wide variety of service traffic to ensure interoperability and backwards compatibility. This allows the product vendors to:
- prevent breakage
- achieve better quality
- faster time-to-market
- lower development cost
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