Last week, over five hundred SREs gathered in Santa Clara to share the latest research, tips, tricks, best practices, and more for site reliability engineering. They were joined by some of the biggest names in the reliability space. And, yes, Gremlin was there to answer any and all questions about chaos engineering and proactive reliability. After three days of great conversations and insightful talk, let’s take a look at some of the themes we heard weaving through SRECon.
In January of 2023, Google released its infrastructure reliability guide, which provides guidelines on how to build high-availability applications in Google Cloud. While it's written for Google Cloud, it provides some excellent general-purpose information on how to architect reliable applications on any cloud provider, including: In this blog, we'll explain each of these factors and how you can use Gremlin to ensure you're meeting your reliability requirements.
Imagine a perfect world where software releases ship bug-free. Developers write perfect code the first time, all tests pass without issues, operations teams effortlessly deploy builds to production, and customers never experience defects. Everyone's happy, and the Engineering team can focus exclusively on building and delivering features. Of course, we don't live in a perfect world.
For many businesses, prioritizing reliability is an ongoing challenge. Building reliable systems and services is critical for growing revenue and customer trust, but other initiatives—like building new products and features—often take precedence since they provide a clearer and more immediate return. That's not to say reliability doesn't have clear value, but proving this value to business leaders can be tricky.
Transport Layer Security (TLS), and its preceding protocol, Secure Sockets Layer (SSL), are essential to the modern Internet. Encrypting network communications using TLS protects users and organizations from publicly exposing in-transit data to third parties. This is especially important for the web, where TLS secures HTTP traffic (HTTPS) between backend servers and customers’ browsers.
Chaos engineering is a hot topic in the platform engineering field as organizations try to build more robust applications. Chaos engineering involves deliberately injecting faults into a system to observe its behavior and build confidence in the behavior of that system. The Chaos Monkey from Netflix pioneered the concept of deliberately inflicting chaos on a production system, but the discipline has grown extensively since this initial project.
How can you tell if your systems are reliable when under load? A common answer is to open your observability dashboards, wait for a high-traffic event (like Black Friday), and cross your fingers. While this approach is certainly effective, it's far from ideal. Without proactive reliability and load testing, we have no idea if a system will hold up to real-world usage patterns, which could mean a production outage at the worst possible time.
