Operations | Monitoring | ITSM | DevOps | Cloud

It’s been a year and a half since Failure Flags was released. Since then, customers have used Failure Flags to run thousands of tests for applications running on serverless, container, and service meshes.

Not too long ago, a customer came to us with a high-value use case. The customer, a major apparel company with retail and e-commerce applications, needed to prove that a critical service of their payment applications could failover correctly between regions in case of an outage. But there was one snag: the service was built using AWS Lambda. This meant infrastructure-focused tests would have trouble replicating the failure conditions necessary to test the failover due to Lambda’s serverless model.

The AI (artificial intelligence) landscape wouldn’t be where it is today without AI-as-a-service (AIaaS) providers like OpenAI, AWS, and Google Cloud. These companies have made running AI models as easy as clicking a button. As a result, more applications have been able to use AI services for data analysis, content generation, media production, and much more.