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Chaos Engineering

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How to make your services zone redundant

Feb 8, 2024 By Andre Newman In Gremlin
In January of 2020, an entire availability zone (AZ) in AWS’ Sydney region suddenly went dark. Multiple facilities lost power, preventing customers from accessing EC2 instances and Elastic Block Storage (EBS) volumes. Customers who didn’t have backup infrastructure in another zone had to wait nearly 8 hours before service was restored, and even then, some EBS volumes couldn’t be recovered. Major cloud provider outages are rare, but they happen nonetheless.
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Measuring the impact of your reliability work with reports

Feb 6, 2024 By Andre Newman In Gremlin
Improving reliability is important, but how do you prove that your efforts are having an impact? A critical part of reliability work is having the tools to measure and track your progress. Gremlin supports this by providing several built-in reports, which update automatically and are available on-demand. This blog post is a quick introduction to Gremlin’s reporting capabilities.
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Reducing cloud reliability risks with the AWS Well-Architected Framework

Feb 1, 2024 By Andre Newman In Gremlin
Designing and deploying applications in the cloud can be a labyrinthian exercise. There are dozens of cloud providers, each offering dozens of services, and each of those services has any number of configurations. How are you supposed to architect your systems in a way that gives your customers the best possible experience? AWS recognized this, and in response, they created the AWS Well-Architected Framework (WAF) to guide customers.
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How Gremlin's dependency discovery feature works

Jan 22, 2024 By Andre Newman In Gremlin
Modern applications are rarely created entirely from scratch. Instead, they rely on a framework of pre-existing applications and services, each adding specific features and functionality. These dependencies empower teams to build and deploy applications more efficiently, but they bring their own set of challenges. Tracking, managing, and updating these dependencies is difficult, especially in large, complex applications where dependencies are likely managed by different teams.
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How to troubleshoot unschedulable Pods in Kubernetes

Dec 19, 2023 By Andre Newman In Gremlin
Kubernetes is built to scale, and with managed Kubernetes services, you can deploy a Pod without having to worry about capacity planning at all. So why is it that Pods sometimes become stuck in an "Unschedulable" state? How do you end up with Pods that have been "Pending" for several minutes? In this blog, we'll dig into the reasons Pods fail to schedule. We'll look at why it happens, how to troubleshoot it, and ways you can prevent it.
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Kubernetes Reliability Risks: How to monitor for critical issues at scale

Dec 18, 2023 By Gremlin In Gremlin
Learn how to automatically find and fix the most critical Kubernetes reliability risks in enterprise organizations. Recent research shows that nearly every organization has reliability risks in their Kubernetes clusters. Many of them are caused by simple misconfiguration, but they can have devastating consequences—including taking critical services offline. And while you could manually review every Kubernetes deployment, the speed and scale at which most organizations deploy to Kubernetes makes that impractical.
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How to fix Kubernetes init container errors

Dec 14, 2023 By Andre Newman In Gremlin
One of the most frustrating moments as a Kubernetes developer is when you go to launch your pod, but it fails to start because of a problem during initialization. Init containers are incredibly useful for setting up a pod before handing it off to the main container, but they introduce an additional point of failure. In this post, we'll take an in-depth look at init containers in Kubernetes: what they are, how they work, how they can fail, and what that means for your Kubernetes deployments.
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Release Roundup Dec 2023: Driving reliability standards (and much more)

Dec 12, 2023 By Andre Newman In Gremlin
2023 is coming to a close and the holiday season is here, but that doesn’t mean things at Gremlin are slowing down. In fact, we’ve released a ton of new features and improvements to make testing and improving reliability even easier. Now you can run Chaos Engineering experiments in serverless environments, create custom reliability test suites, create more flexible Scenarios, and more easily identify critical components in your environment.
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Failure Flags helps build testable, reliable software-without touching infrastructure

Dec 11, 2023 By Ryan Detwiller In Gremlin
Building provably reliable systems means building testable systems. Testing for failure conditions is the only way to reliably root out issues before they impact customers. However, most current Chaos Engineering and resilience testing is focused on the underlying infrastructure. This helps identify potentially catastrophic failures, but misses the more frequent failures that still significantly impact customer experience.
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datadog

Monitor your chaos engineering experiments with Steadybit's offering in the Datadog Marketplace

Dec 8, 2023 By Candace Shamieh In Datadog

Steadybit is a software reliability platform that uses chaos engineering and fault injection to help organizations improve the stability and performance of their applications. By allowing customers to simulate turbulent scenarios in a controlled environment, Steadybit enables you to identify and mitigate potential system issues to reduce downtime and improve resilience.

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