Amazon Web Services776 тыс
Опубликовано 3 июня 2019, 17:27
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With the wide adoption of micro-services and large-scale distributed systems, architectures have grown increasingly complex and hard to understand. Worse, the software systems running them have become extremely difficult to debug and test, increasing the risk of outages. With these new challenges, new tools are required and since failures have become more and more chaotic in nature, we must turn to chaos engineering in order to reveal failures before they become outages. In this talk, we will make an introduction to chaos engineering, a discipline that promotes breaking things on purpose in order to learn how to build more robust systems and we will deep dive into designing large-scale resilient architectures.
With the wide adoption of micro-services and large-scale distributed systems, architectures have grown increasingly complex and hard to understand. Worse, the software systems running them have become extremely difficult to debug and test, increasing the risk of outages. With these new challenges, new tools are required and since failures have become more and more chaotic in nature, we must turn to chaos engineering in order to reveal failures before they become outages. In this talk, we will make an introduction to chaos engineering, a discipline that promotes breaking things on purpose in order to learn how to build more robust systems and we will deep dive into designing large-scale resilient architectures.
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