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Episode 6: The Impact of Virtualisation in Testing

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Manage episode 373044959 series 3461985
内容由Curiosity Software提供。所有播客内容(包括剧集、图形和播客描述)均由 Curiosity Software 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Is virtualisation given its rightful place in test design? Deployed in a loosely coupled system, speed and flow increase, whilst reducing technical debt. Team alignment and version handling is improved, setting the terrain for better software delivery. Welcome to this episode of the podcast Why Didn’t You Test That?

Moving from expertise in original service virtualisation to sandboxing, guest John Power, CEO of Ostia Solutions, with Curiosity Software's Huw Price and Rich Jordan shares insight that a proper sandbox is fully simulated, gives a good customer experience to developers and testers, that a sandbox being standalone and generating synthetic data, it isn’t compromised.

Initially offering a proxy, using request-response algorithms for recording and replaying without Mainframes in play, Ostia went to providing full simulation by example of the UK's Open Banking Model. This involved moving the technology from simply record and replay of data to actual data generation.

The hosts share experiences on leading a virtualisation team but also how best to implement Master Data Management using sandboxes in model-based testing to avoid accidental complexity in the system under test. In adopting such an approach, the starting point really is to understand the current confidence level in the interface you’re asking service virtualisation to replace.

In practice, simulating what currently exists a system, through the framework bringing in functional endpoints and business rules, it informs the required APIs to the benefit of time, security and quality. But the challenge is for organisations to value sandboxes in adjusting the system design rather than as a regulatory or end-of-year afterthought. Beyond creating reusable assets, you’ll ensure continuous updates to sandbox data and testing models.

The approach also gives oversight to which contracts and test environments are affected, alongside sandboxes. Though this requires moving away from a centralised management of APIs. In working towards a better architectural design of a system, where dependencies are isolated, we can learn from Conway’s Law.

It suggests a system mimics the organisation's communication, so it's best to improve communication across teams first. Sandboxing will then thrive at an organisational level. You’ll be reducing technical debt, risk, extra effort and in parallel developing mature teams to enable flow, feedback and experimentation in the system under test.

The Curiosity Software Podcast featuring Huw Price and Rich Jordan! Together, they share their insight and expertise in driving software design and development in test. Learn how you can improve your journey to quality software delivery, by considering how much do you really understand about your systems, and when things inevitably go wrong, why didn’t you test that? Spotify | YouTube | Google Podcasts | Amazon Music | Deezer | RSS Feed and iTunes.

  continue reading

30集单集

Artwork
icon分享
 
Manage episode 373044959 series 3461985
内容由Curiosity Software提供。所有播客内容(包括剧集、图形和播客描述)均由 Curiosity Software 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Is virtualisation given its rightful place in test design? Deployed in a loosely coupled system, speed and flow increase, whilst reducing technical debt. Team alignment and version handling is improved, setting the terrain for better software delivery. Welcome to this episode of the podcast Why Didn’t You Test That?

Moving from expertise in original service virtualisation to sandboxing, guest John Power, CEO of Ostia Solutions, with Curiosity Software's Huw Price and Rich Jordan shares insight that a proper sandbox is fully simulated, gives a good customer experience to developers and testers, that a sandbox being standalone and generating synthetic data, it isn’t compromised.

Initially offering a proxy, using request-response algorithms for recording and replaying without Mainframes in play, Ostia went to providing full simulation by example of the UK's Open Banking Model. This involved moving the technology from simply record and replay of data to actual data generation.

The hosts share experiences on leading a virtualisation team but also how best to implement Master Data Management using sandboxes in model-based testing to avoid accidental complexity in the system under test. In adopting such an approach, the starting point really is to understand the current confidence level in the interface you’re asking service virtualisation to replace.

In practice, simulating what currently exists a system, through the framework bringing in functional endpoints and business rules, it informs the required APIs to the benefit of time, security and quality. But the challenge is for organisations to value sandboxes in adjusting the system design rather than as a regulatory or end-of-year afterthought. Beyond creating reusable assets, you’ll ensure continuous updates to sandbox data and testing models.

The approach also gives oversight to which contracts and test environments are affected, alongside sandboxes. Though this requires moving away from a centralised management of APIs. In working towards a better architectural design of a system, where dependencies are isolated, we can learn from Conway’s Law.

It suggests a system mimics the organisation's communication, so it's best to improve communication across teams first. Sandboxing will then thrive at an organisational level. You’ll be reducing technical debt, risk, extra effort and in parallel developing mature teams to enable flow, feedback and experimentation in the system under test.

The Curiosity Software Podcast featuring Huw Price and Rich Jordan! Together, they share their insight and expertise in driving software design and development in test. Learn how you can improve your journey to quality software delivery, by considering how much do you really understand about your systems, and when things inevitably go wrong, why didn’t you test that? Spotify | YouTube | Google Podcasts | Amazon Music | Deezer | RSS Feed and iTunes.

  continue reading

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