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Conference: KubeCon + CloudNativeCon North America 2022
Authors: Bella Wiseman
2022-10-27
tldr - powered by Generative AI
Chaos engineering is essential for verifying the resiliency of cloud-native applications, but traditional techniques are often not viable for managed services in the cloud. Defining success criteria, measuring steady state, injecting failure, observing outcomes, and restoring the system are the five parts to running a chaos test.
- Chaos engineering involves deliberately causing production incidents to determine the impact on the environment.
- Defining success criteria is important to determine what success means for the test.
- Measuring steady state involves observing how the system behaves when everything is going well.
- Injecting failure is the actual chaos test itself.
- Observing outcomes involves seeing what happens during the chaos test.
- Restoring the system is necessary if required.
- Managed services in the cloud make traditional chaos engineering techniques difficult.
- Chaos engineering is essential for verifying the resiliency of cloud-native applications.
- Defining success criteria, measuring steady state, injecting failure, observing outcomes, and restoring the system are the five parts to running a chaos test.
Conference: Transform X 2021
Authors: Marty Chavez
2021-10-07
R. Martin (“Marty”) Chavez, Ph.D., is Partner and Vice Chairman of Sixth Street Partners and former CEO and former CFO of Goldman Sachs. widely renowned as a trailblazer and leader who turned the Wall Street trading business into a software business, during his time at Goldman Sachs. Marty joins Scale AI CEO Alexandr Wang in a fireside chat to discuss how machine learning is impacting the world of finance and beyond. Together they discuss the 'digital revolution' of Wall Street and financial services which saw a transformation where traditional finance roles worked directly with programmers to build new tools that unlocked new opportunities. Join this session to hear how Financial Services transformed with AI, and how those lessons can be applied to other industries.