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By Andre Newman
Artificial intelligence recently took a major leap from “saying” to “doing.” Instead of simple back-and-forth chats, we’re now allowing automated AI processes to take action on our behalf—from responding to emails to building and deploying complete applications. This shift from “assistant” to “actor” can make applications more capable, but it also creates additional failure modes.
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By Gavin Cahill
There’s a common saying: “A backup isn’t a backup until you’ve tested it.” The same is true whether it’s a simple database failover or an entire data center/cloud provider failover. You simply won’t know if it works if you don’t test it. When it comes to disaster recovery testing, that can be an expensive, painful, and arduous process. But it’s required by companies for a reason. And not just for disasters like hurricanes, flooding, or earthquakes.
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By Andre Newman
Today, we’re launching a new approach to running disaster recovery tests, validating failover processes, and ensuring compliance with regulations such as DORA. With Disaster Recovery Testing, you can run zone, region, and datacenter-scale experiments across your entire Gremlin organization simultaneously.
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By Gavin Cahill
Did you know the third week of January is the most common time for people to fail New Year’s Resolutions? It doesn’t matter whether it’s exercising more, learning a new language, or just trying to drink less coffee, that initial surge of fresh New Year’s energy is fading, and if you want to make a resolution stick, this is the key time to make a lasting change. The same is true with any reliability resolutions you might have made.
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By Gavin Cahill
This fall and winter have had their share of major outages (including AWS, Azure, and Cloudflare), and December was no exception. On December 5, 2025, Cloudflare suffered a 25-minute outage that served responses with HTTP 500 errors to about 28% of HTTP traffic served by Cloudflare. Since Cloudflare handles an average of 81 million HTTP requests per second, this represents a substantial chunk of internet traffic, including LinkedIn, Zoom, and Downdetector.
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By Andre Newman
2025 was a stark reminder of why reliability is so critical in the tech sector. The year wrapped up with multiple high-profile outages across several major cloud providers, costing companies around the world billions of dollars. Building resilient systems has never been more of a priority, especially as we move into the era of agentic AI.
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By Gavin Cahill
Modern applications can easily include hundreds of discrete services, all of which need to be reliable in order for the application to function correctly. While running tests on a handful of critical services can lead to small reliability improvements, real impact requires testing and increased reliability visibility across your entire organization. That’s the logic behind the new, improved Reliability Reports within Gremlin.
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By Andre Newman
On November 18, 2025, X, ChatGPT, Shopify, and many other major sites went offline simultaneously. Even Downdetector, Ookla’s popular outage tracking website, briefly went offline. What caused this issue? Why were so many major websites affected by it? And what steps can you take to reduce the impact on your own applications?
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By Gavin Cahill
On October 29th, 2025, Azure Front Door suffered an outage that impacted Microsoft services on a global level, including Microsoft 365, Outlook, Xbox Live, Copilot, and more. It also affected Microsoft Azure, meaning companies like Costco, Starbucks, and Alaska Airlines ran into issues for both customer-facing and internal systems. The root of the issue was a misconfiguration in the data plane for Azure Front Door and the Azure Content Delivery Network.
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By Gavin Cahill
It’s now easier than ever to start testing Kubernetes with Dynatrace and Gremlin. With a new strategic integration, Kubernetes services set up in Dynatrace are automatically discovered in Gremlin to make testing set up simple and fast. At a time when AI is driving massive expansions in infrastructure and dramatically increasing deployment speed, being able to set up and test new services quickly is more important than ever.
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By Gremlin
Training is at the heart of every LLM model, but it’s still an application running on an infrastructure, which means it can fail. Our GPU test helps you test your training GPUs so you don’t lose that valuable work. TRANSCRIPT: One of the things we built recently was the GPU Gremlin. So if you are training a bunch of models and you're doing a bunch of GPU testing. You know, we want to give you the tools to be able to go test that, to understand how training the model could fail.
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By Gremlin
Reliability testing isn’t a one-and-done thing. You need to test on a regular schedule to make sure your system is reliable in the face of changing systems.
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By Gremlin
Do you know how your system will respond when major outages strike? Disaster Recovery Testing safely simulates real catastrophic failures across your entire system. You can centrally and easily run zone, region, and datacenter-scale reliability tests across your entire organization simultaneously for disaster recovery, business continuity, compliance verification, and more. With Disaster Recovery Testing, tests that used to take engineering-months and dozens of experts can be done safely and securely in hours by a single person.
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By Gremlin
In this clip from an AI roundtable with Gremlin, Nobl9, and PagerDuty, Mandi Walls talks about how companies will want to audit AI to keep it reliable.
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By Gremlin
AI operates on the same systems and infrastructure as every application, which means if you want to keep it reliable, you have to keep the systems underneath it reliable. Gremlin CEO Kolton Andrus explains more in this clip from an AI reliability roundtable with @nobl9inc and @Pagerduty.
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By Gremlin
In this webinar clip, Alex Nauda, CTO of Nobl9, explains how keeping AI reliable means changing how you look at SLOs.
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By Gremlin
Even if you know a dependency is critical, you still should test it. Otherwise, who knows what will happen if it goes down?
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By Gremlin
In this clip from an AI roundtable with Gremlin, Nobl9, and PagerDuty, Mandi Walls talks about how AI shifts how you watch your systems to keep them reliable.
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By Gremlin
Failures will occur, but reliability testing helps us understand them instead of being surprised. Gremlin founder and CEO Kolton Andrus sat down with Stephen Townshend on the Slight Reliability podcast to talk about how!
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By Gremlin
Systems fail, sometimes publicly and at great cost. Airlines have experienced system-wide ticketing outages, causing hundreds of flight cancellations and significant inconvenience to customers. Retailers have experienced website crashes on the busiest shopping days of the year, costing millions in lost revenue and customer goodwill. It is vital to understand both DevOps and SRE and the roles they play in preventing such outages.
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By Gremlin
Gremlin provides a variety of ways to test the resilience of your systems, which we call "attacks". Running different attacks lets you uncover unexpected behaviors, validate resilience mechanisms, and improve the overall reliability of your systems and services. This ebook explains each of Gremlin's attacks in complete detail, including what each attack does, how it impacts your systems, and the technical and business objectives the attack helps solve.
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By Gremlin
Learn the basics of Chaos Engineering: discover the tools, tests, and culture needed to create better software and prevent outages and downtime. This whitepaper provides a comprehensive introduction to the discipline of Chaos Engineering including why it is more needed than ever, how to get started, and best practices to maximize learnings and reduce risk.
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By Gremlin
By following this guide, you'll successfully increase your organization's reliability with minimal effort and risk. This document will serve as your guide to implementing Chaos Engineering and Gremlin within your organization. From educating your team on the principles of Chaos Engineering to running automated experiments, this guide will walk through each stage of the adoption process in order to ensure a smooth and successful rollout.
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By Gremlin
Amazon DynamoDB is fast, powerful, and intended for high availability. These are all valuable attributes in a data storage solution, but to be useful as advertised, it must be configured thoughtfully. Learn how to use Chaos Engineering to ensure DynamoDB performs the way you expect. In this guide, we cover: Amazon DynamoDB is one of the most popular NoSQL databases and is the data store of choice for many teams running production workloads in AWS.
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By Gremlin
Win over and convince your coworkers and management to explore and adopt Chaos Engineering and Site Reliability Engineering (SRE). The playbook provides ideas and techniques that can be used to articulate the need and benefits to internal stakeholders in your organization. It also guides the initial implementation in a way that will lead to success and growth across the organization. Implementing something new like Chaos Engineering successfully is a good way to get promoted and help the organization succeed, and this guide is here to help you.
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By Gremlin
MongoDB is designed for performance, scale, and high-availability. But, as with any software, you need to test your configuration to verify that it will work as advertised. Ensure that MongoDB performs the way you expect by using Chaos Engineering to test four key features. This guide includes four experiment tutorials to verify that MongoDB will perform reliably: In order to ensure you get the most out of MongoDB's rich features, including built-in data sharding and replication, it's crucial to test your configuration.
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Gremlin aims to make the internet more reliable and prevent costly and reputation-damaging outages. Its failure-as-a-service platform empowers engineers to build more resilient systems through safe experimentation.
Downtime is expensive and can hurt your brand. Gremlin provides engineers with the framework to safely, securely, and easily simulate real outages with an ever-growing library of attacks. Turn failure into resilience with chaos engineering.
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.
Avoid downtime. Use Gremlin to turn failure into resilience.