Gremlin

CHAOS ENGINEERING GUIDE

Improving the Reliability of Financial Services

How do we increase development velocity to meet changing customer demands, while ensuring reliability, avoiding outages, and meeting compliance? The answer is with Chaos Engineering.

Learn how you can use Chaos Engineering to proactively increase reliability and mitigate the risk of outages, so you can stay competitive in an ever-changing market.

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What’s inside?

  • An introduction to Chaos Engineering
  • How to improve reliability while reducing IT costs
  • How to mitigate the risk of system failures while increasing development velocity
  • How to proactively test for compliance and fix vulnerabilities before they become high-profile outages

With Chaos Engineering, you can confidently increase development velocity without risking system failures and outages.

In order to keep up with the rapid pace of digital transformation and provide innovative new services, teams must be able to push new changes quickly. However, legacy IT backbones, distributed system ownership, and compliance regulations can cause a bottleneck.

In this white paper, we explore how Chaos Engineering enables you to safely increase development velocity while proactively increasing reliability and mitigating risks of outages.

Over a decade of collective experience unleashing chaos at companies like

  • Amazon
  • Netflix
  • SalesForce
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Improve reliability at every level of your stack

Use Gremlin's comprehensive set of failure modes to experiment across your system, including bare metal, any cloud provider, containerized environments, kubernetes, applications, and serverless.

Build resilient infrastructure

  • Resource Gremlins
    Throttle CPU, Memory, I/O, and Disk
  • State Gremlins
    Reboot hosts, kill processes, travel in time
  • Network Gremlins
    Introduce latency, blackhole traffic, lose packets, fail DNS

Test for application failure

  • Test for failure in your code
  • Fail or delay serverless functions
  • Narrow the impact to a single user, device, or percentage of traffic