Summary
As we wrap up this chapter, let’s take a look at the different aspects we learned. First, we dove deep into the concept of identifying partial failures and how you can use different AWS services such as Amazon CloudWatch to effectively identify those. In the same section, we also discussed the AWS FIS service, which helps you to conduct simulated failure drills in order for your teams to identify potential weak points in your architecture. In the second section, we learned about deploying various architecture patterns to follow in order to reduce dependencies in such a way that failures can be confined to a smaller portion of the application/infrastructure. Subsequently, we explored the benefits of using preconfigured actions in order to automatically take corrective actions during outages. In the final section, we learned about using ML and GenAI to accelerate and optimize issue identification and troubleshooting.
In the following chapter, we will explore more deeply...
