EPISODE · Mar 3, 2016 · 46 MIN
Becoming A Resilient Coder
from Complete Developer Podcast
<p>Resilience is the ability or capacity to quickly recover from difficulties. Systems that are resilient have less risk, a lower cost of ownership, and the ability to build upon the system. The CAP theorem of Consistency, Availability, and Partition applies to resilience within the domain of distributed systems but is instructive in regards to any system. The seven principles of resilience used in this episode were gleaned from the Stockholm Resilience Centre's guidelines for general-purpose resilience. The first three involve systems design while the final four focus around team and organizational structure.</p> Hosted on Acast. See acast.com/privacy for more information.
What this episode covers
<p>Resilience is the ability or capacity to quickly recover from difficulties. Systems that are resilient have less risk, a lower cost of ownership, and the ability to build upon the system. The CAP theorem of Consistency, Availability, and Partition applies to resilience within the domain of distributed systems but is instructive in regards to any system. The seven principles of resilience used in this episode were gleaned from the Stockholm Resilience Centre's guidelines for general-purpose resilience. The first three involve systems design while the final four focus around team and organizational structure.</p> Hosted on Acast. See acast.com/privacy for more information.
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Becoming A Resilient Coder
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Resilience is the ability or capacity to quickly recover from difficulties. Systems that are resilient have less risk, a lower cost of ownership, and the ability to build upon the system. The CAP theorem of Consistency, Availability, and...