AWS www.sitereliabilityengineering.co Patterns provide a structured way of looking at a problem space along with the solutions which are seen multiple times and proven. Patterns is a concept introduced by Christopher Alexander Looking at distributed systems as a series of patterns is a useful way to gain insights into their implementation.
- AWS www.sitereliabilityengineering.co Our systems face all kinds of adversities: hard disks failures, network can go down, customer traffic can overload and cyberattack can happen. In this chaotic world, how can they still be alive?
can be taken down for routine maintenance by system administrators. It can be killed doing some file IO because the disk is full and the exception is not properly handled. In cloud environments, it can be even trickier, as some unrelated events can bring the servers down.
are two problems to be tackled here: A particular server can not wait indefinitely to know if another server has crashed. There should not be two sets of servers, each considering another set to have failed, and therefore continuing to serve different sets of clients. This is called the split brain.
Engineering? It is the discipline of experimenting failures in production in order to reveal their weakness and to build confidence in their resilience capability. https://principlesofchaos.org/
began at Netflix 2010 Chaos Monkey & Simian Army were launched 2016 Gremlin born 2019 1 Book Chaos massification 2017 SRE Usenix Chaos IQ born ChaosConf 2018 1 Book Chaos Monkey for Spring Boot 2020 1 Book was published Distributed Systems Chaos History
- AWS www.sitereliabilityengineering.co AWS FIS is for running fault injection experiments on AWS to improve an application’s performance, observability, and resiliency. Fault injection experiments are used in chaos engineering for stressing an application in testing or production environments by creating disruptive events, observing how the system responds, and implementing improvements. FIS provides controls and guardrails to run experiments, such as automatically rolling back or stopping the experiment if specific conditions are met.
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