San Jose, CA, USA
Jul 16, 2020   |  By Kolton Andrus
We’re excited to announce the third annual Chaos Conf! Given the events with Covid-19 this year, we will be holding this event fully online for the health and safety of attendees. The unforeseen impact of this virus on our lives, our businesses, and our software highlights the importance of preparing for the unexpected. Our theme for this year highlights this: Prepare for moments that matter. Chaos Conf will take place over the course of three days: October 6–8.
Jul 15, 2020   |  By Jason Yee
As systems become increasingly complex, we’ve seen the growth of engineering tools to abstract away and manage the complexity. But often our tools are “opinionated” and the default actions or settings may not align with how our systems are intended to work or how we think they work. Chaos Engineering is a good way to not only test your applications, but also the tools you use to build them.
Jul 15, 2020   |  By Andre Newman
For decades, information technology in the financial services industry meant deploying bulky applications onto monolithic systems like mainframes. These systems have a proven track record of reliability, but don’t offer the flexibility and scalability of more modern architectures such as microservices and cloud computing. During periods of unexpectedly high demand, this inflexibility can cause technical issues for organizations ranging from personal trading platforms to major banks.
Jul 9, 2020   |  By Jacob Plicque III
Fulfillment pipelines for order management in e-commerce have a lot of intricate moving parts that depend on one another. Sales orders, fulfillment, negotiation, shipment, and receipt are closely interconnected but require different actions while depending on one another closely. You also need messaging around order statuses, conditions, actions, rules, and inventory, just to name a few of the important parts of these complex systems.
Jul 7, 2020   |  By Jacob Plicque III
One of the reasons companies practice Chaos Engineering is to prevent expensive outages in retail (or anywhere, for that matter) from happening in the first place. This blog post walks through a common retail outage where the checkout process fails, then covers how to use Chaos Engineering to prevent the outage from ever happening in the first place. Let’s dive in. Maybe you’ve been there.
Jul 2, 2020   |  By Taylor Smith
The financial services industry has built in more capital buffers to prevent market shocks from bringing another economic collapse. In addition to these financial controls, many banks and personal trading platforms have begun building resiliency into information technology shocks. Despite these new precautions, we’re still seeing outages today, preventing customers from depositing and withdrawing their money, completing transactions, and executing trades during key events.
Jun 26, 2020   |  By Andre Newman
You’ve pored over the MongoDB documentation, crafted highly polished and well-tuned queries, and confidently deployed your new code to production. Everything ran great at first, but once CPU or RAM usage hit a certain point, your queries suddenly slowed to a crawl. What happened, and how can you prepare for situations like this in the future? This is an unfortunate but common scenario with databases like MongoDB.
Jun 23, 2020   |  By Matt Schillerstrom
One of the most important aspects of any Chaos Engineering program is knowing that every experiment is being run safely. And one of the simplest ways to ensure safe experiments is by having safeguards that prevent running chaos experiments on a system that is unhealthy or has an incident in progress. Today, Gremlin is excited to announce Status Checks, which run before you kick off a Chaos Engineering Scenario in order to verify your system is in a steady state.
Jun 18, 2020   |  By Matthew Helmke
Microsoft Windows is a popular operating system for many enterprise applications, such as Microsoft SQL Server clusters and Microsoft Exchange Servers. About 30% of the world’s web application hosting systems are running Windows, making it an important part of every enterprise’s plans to prevent outages and enhance reliability.
Jun 16, 2020   |  By Eugene Wu
Chaos Engineering was conceived as a direct response to the complexity and nondeterministic nature of cloud-based applications. Thoughtful fault injection closes the gap between traditional testing methodologies and modern approaches to software engineering like microservices, continuous delivery, and DevOps.
Jul 1, 2020   |  By Gremlin
In this talk, Gremlin CTO Matthew Fornaciari discusses moving from reactive to proactive operations.
May 5, 2020   |  By Gremlin
When humans are faced with a traumatic experience, our brains kick in with survival mechanisms. These mechanisms are the familiar fight or flight response, but can also include the freeze response - which occurs when we are terrified or feel that there is no chance of escape.
May 5, 2020   |  By Gremlin
Every disaster is a concatenation of smaller failures. How can we design software and processes to accept that we live in an imperfect world? Explore the concepts of resiliency, harm reduction, over-engineering, and planning for failure with real examples.
May 5, 2020   |  By Gremlin
Everything fails all the time. Knowing how to deal with these failures in serverless applications becomes essential to building resilient, highly-available systems. In traditional monolithic applications, catching errors and handling retries is relatively straightforward. But as our systems become more distributed, we now have multiple (often asynchronous) components processing events from several sources, all with vastly different retry behaviors and failure mechanisms. Utilizing old patterns can cause errors to get swallowed, creating brittle, unreliable systems that are difficult to debug and hard to maintain.
May 5, 2020   |  By Gremlin
While outage-driven news headlines can cause stock prices to plummet short term, the performance-driven reputation loss is a slow burn for longer-term customer loss. This session compares slowdowns vs outages and the resulting need for insight more than observability. By understanding these difference, you'll be ready to drive agile applications, gain funding for lowering technical debt, and focus on customer retention.
May 5, 2020   |  By Gremlin
Recent world-impacting events have caused us all to have to rethink the way we go about our daily work; in this talk, we'll look at how some of the pillars of Resilience Engineering might help you and your team deal with the changes we're all being forced to confront.
May 5, 2020   |  By Gremlin
In this session, we will dive into a case study of how a team can recover & improve a distributed system after a major incident. Distributed systems are more prone to failure than other systems due to their incredible complexity and scale, and incidents are a fact of life with these systems.
May 5, 2020   |  By Gremlin
Chaos and uncertainty are all around us. Tammy Butow kicks off Failover Conf by sharing why reliability and resilience matter now more than ever — and how you can achieve it.
May 5, 2020   |  By Gremlin
When starting a new application build, starting with an eye on resiliency prevents headaches down the line. There are many ways to tackle this, especially within different language environments and system eco-systems, but there are many shared across them all. Getting a high-level take-away list to use as a reference later, from a dive into them during this talk, viewers will learn how to develop software that is more fault-tolerant and able to with-stand impact of failures.
May 5, 2020   |  By Gremlin
We built support for SLOs (Service Level Objectives) against our event store so we could monitor our own complex distributed system. In the process of doing so, we learned that there were a number of important aspects that we didn’t expect from carefully reading the SRE workbook. This talk is the story of the missing pieces, unexpected pitfalls, and how we solved those problems. We’d like to share what we learned and how we iterated on our SLO adventure.
Jul 25, 2020   |  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.
Jul 25, 2020   |  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.
Jul 25, 2020   |  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.
Jul 1, 2020   |  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.
Jul 1, 2020   |  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.

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.