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Last updated : Apr 24, 2019
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Apr 2019
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。

In the last year we've seen Chaos Engineering move from a much talked-about idea to an accepted, mainstream approach to improving and assuring distributed system resilience. As organizations large and small begin to implement Chaos Engineering as an operational process, we're learning how to apply these techniques safely at scale. The approach is definitely not for everyone, and to be effective and safe, it requires organizational support at scale. Industry acceptance and available expertise will definitely increase with the appearance of commercial services such as Gremlin and deployment tools such as Spinnaker implementing some Chaos Engineering tools.

May 2018
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。

In previous editions of the Radar, we've talked about using Chaos Monkey from Netflix to test how a running system is able to cope with outages in production by randomly disabling instances and measuring the results. Chaos Engineering is the nascent term for the wider application of this technique. By running experiments on distributed systems in production, we're able to build confidence that those systems work as expected under turbulent conditions. A good place to start understanding this technique is the Principles of Chaos Engineering website.

Nov 2017
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。

In previous editions of the Radar, we've talked about using Chaos Monkey from Netflix to test how a running system is able to cope with outages in production by randomly disabling instances and measuring the results. Chaos Engineering is the nascent term for the wider application of this technique. By running experiments on distributed systems in production, we're able to build confidence that those systems work as expected under turbulent conditions. A good place to start understanding this technique is the Principles of Chaos Engineering website.

已发布 : Nov 30, 2017
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