Chaos Engineering for SaaS

Qualtrics prepares for Disaster Recovery service-by-service, without disrupting dev cycles

Qualtrics' Quality Engineering team runs dependency experiments in preparation for Disaster Recovery testing.

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40+ Teams
prepared for failover without having to coordinate planned downtime
500+ engineering hours saved
vs. traditional dependency testing

Building out a dedicated Reliability Team

Workiva's Quality Assessment team uses Gremlin to verify the reliability of their Kubernetes application on AWS.

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SaaS applications provide mission-critical systems that customers treat like infrastructure. This requires an always available customer experience, near perfect data durability, and constant innovation.

Deliver cloud provider reliability

Ship updates without downtime by proactively testing for individual services switching over
Prepare for disaster recovery by discovering service dependencies before you run the whole exercise
Prove your on-prem and cloud environments can handle lost connections

Ensure a seamless customer experience

Prevent degradations in non-critical features from ruining the impacting the whole application
Ensure that latency in one part of your distributed architecture doesn’t cascade and affect end users
Prepare mitigation strategies for unreliable network connections to customers

Provide exceptional availability and durability

Build reliable APIs by proving that your platforms have no single points of failure
Ensure that the health checks, timeouts, and retries are properly tuned
Be confident that your disaster recovery plans meet data durability standards

Fulfill your brand's promise

Meet the highest levels of availability by preparing for common failure modes
Push high quality code is production by automating failure testing for each deploy
Avoid breaching your service level agreements by preparing for any failure mode and decreasing your recovery time

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