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radar blip
radar blip

Focus on mean time to recovery

Last updated : May 05, 2015
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
May 2015
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。

Traditionally operations groups look to improve the mean time between failures. While avoiding failures is obviously still important, lessons from cloud computing have taught us to expect failure and instead to focus on mean time to recovery. Continuous Delivery automation makes rolling out rapid fixes easier and we are also seeing a growth in monitoring techniques to spot failures quickly through a ‘production immune system’. Teams are also successfully using semantic monitoring and synthetic transactions to exercise production systems in non-destructive ways. This combined focus allows teams to move rapidly with higher confidence, it can also reduce the emphasis on expensive test-execution in pre-production environments and is particularly important in responding to the ever-growing list of security vulnerabilities that are being discovered.

Jan 2015
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。
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。
In DevOps-savvy organizations delivery teams often configure production monitoring and respond to incidents themselves. This visibility and access into production environments allows those teams to make changes to their systems to improve their ability to recover quickly when something goes wrong. This focus on mean time to recovery improves quality of service overall, and allows teams to safely deploy more frequently. This can also reduce the emphasis on expensive test execution in non-production environments. Techniques we've used include end-to-end 'semantic monitoring' or reconciliation of real business transactions, and the injection of 'synthetic transactions' which exercise systems in non-destructive ways in production.
Jan 2014
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索
In previous radars we recommended arranging automated acceptance tests into longer journeys and, in what we call semantic monitoring, running these tests continuously against a production environment. We still believe that this is an important technique for scenarios the team can anticipate in advance. A variation of this approach, seen especially with startups, is to reduce the number of tests while increasing monitoring and automatic alarms. This shifts the focus from avoiding problems that can be anticipated to reducing mean time to recovery for all problems.
May 2013
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索
已发布 : May 22, 2013
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