How can creating chaos achieve better reliability? Chaos and reliability might seem mutually exclusive, but through the use of Chaos Engineering, SREs can bring about meaningful changes to system resiliency.

Distributed systems such as microservices have defined software engineering over the last decade. The majority of advancements have been in increasing resilience, flexibility, and rapidity of deployment at increasingly larger scales. For streaming giant Netflix, the migration to a complex cloud based microservices architecture would not have been possible without a revolutionary testing method known as fault injection. With tools like chaos monkey, Netflix employs a cutting edge testing toolkit.

Gremlin empowers you to proactively root out failure before it causes downtime. See how you can harness chaos to build resilient systems by requesting a demo of Gremlin. With everyone working remotely, video conference tools like Zoom have been a critical part of maintaining business continuity. It’s truly amazing that we can continue to work and connect with one another, even during a time where getting together in an office hasn’t been possible…

Chaos engineering is a practice where engineers simulate failure to see how systems respond. This helps teams proactively identify and fix preventable issues. It also helps teams prepare responses to the types of issues they cannot prevent, such as sudden hardware failure. The goal of chaos engineering is to improve the reliability and resilience of a system. As such, it is an essential part of a mature SRE solution.

Get started with Gremlin's Chaos Engineering tools to safely, securely, and simply inject failure into your systems to find weaknesses before they cause customer-facing issues. API gateways are a critical component of distributed systems and cloud-native deployments. They perform many important functions including request routing, caching, user authentication, rate limiting, and metrics collection. However, this means that any failures in your API gateway can put your entire deployment at risk.

When reading about Chaos Engineering, you’ll likely hear the terms “fault injection” or “failure injection.” As the name suggests, fault injection is a technique for deliberately introducing stress or failure into a system in order to see how the system responds. But what exactly does this mean, and how does this relate to Chaos Engineering?

Chaos engineering has definitely become more popular in the decade or so since Netflix introduced it to the world via its Chaos Monkey service, but it’s far from ubiquitous. However, that will almost certainly change over time as more organizations become familiar with its core concepts, adopt application patterns and infrastructure that can tolerate failure, and understand that an investment in reliability today could save millions of dollars tomorrow.

Chaos Engineering is one of the hottest new approaches in DevOps. Netflix first pioneered it back in 2008, and since then it’s been adopted by thousands of companies, from the biggest names in tech to small software companies. In our age of highly distributed cloud-based systems, Chaos Engineering promotes resilient system architectures by applying scientific principles. In this article, I’ll explain exactly what Chaos Engineering is and how you can make it work for your team.

Modern applications are changing, and traditional testing practices are no longer up to the task. Learn more about the changing landscape of QA and how Chaos Engineering provides the necessary framework for testing modern applications.

Five years ago today, our co-founders launched Gremlin with a simple but bold mission: Build a more reliable internet. Over the past five years, the practice of Chaos Engineering is increasingly employed as a means for proactively testing systems to make them more resilient and reliable.