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更新于 : Nov 07, 2016
不在本期内容中
这一条目不在当前版本的技术雷达中。如果它出现在最近几期中,那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中,那么它很有可能已经不再具有相关性,我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。 了解更多
Nov 2016
采纳 ? 我们强烈建议业界采用这些技术,我们将会在任何合适的项目中使用它们。

Machine images have become a staple of modern deployment pipelines, and there are a number of tools and techniques to create the images. Because of its comprehensive feature set and the positive experiences we've had with it, we recommend Packer over the alternatives. We also recommend against trying to write custom scripts to do what Packer does out of the box.

Jan 2015
试验 ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。

We featured 'Machine image as a build artifact' in the last Radar, as an excellent way to implement fast spin-up, immutable servers. The thing holding this technique back was the difficulty in building images, especially when targeting more than one platform. Packer solves this, using your configuration management tool of choice to create images for a number of platforms including AWS, Rackspace, DigitalOcean and even Docker and Vagrant, although we have found the VMWare support to be problematic.

Jul 2014
试验 ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。
We featured 'Machine image as a build artifact' in the last Radar, as an excellent way to implement fast spin-up, immutable servers. The thing holding this technique back was the difficulty in building images, especially when targeting more than one platform. Packer solves this, using your configuration management tool of choice to create images for a number of platforms including AWS, Rackspace, DigitalOcean and even Docker and Vagrant, although we have found the VMWare support to be problematic.
发布于 : Jul 08, 2014

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