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.

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.

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.

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.

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.

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.

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.

Within DevOps, automation has become a North Star. We want to automate the toil away, but the goal of "no toil" is unattainable. Many runbooks can only be partially automated because they still require human intervention and insights. Human-in-the-Loop DevOps is the idea that we can benefit from automating toil while still embracing the human interaction in specific tasks.

For more than a decade, many of us have been working to bring Devops to organizations around the world. We’ve made amazing progress, but there’s so much more to do. Now that we have continuous integration & deployment widespread and developers are taking more ownership of production, what’s next? Amy will talk about what Resilience Engineering is, how it relates to devops, and how she thinks it gives us the science and research we need to take our organizations to the next level of robustness while remaining agile and growing our ability to care for the people around us.

In this video, you’ll learn how to identify right sizing opportunities for your EC2 instances utilizing Datadog metric dashboards. Optimizing your cloud footprint for cost efficiency can be a huge task, especially for large and scaling environments. Utilizing time series data and toplists, Datadog dashboards allow you to see chronically underutilized EC2s in your AWS environment. Template variables allow you to sort EC2s by teams and instance types, so you quickly identify the scope of cost saving opportunities across your organization.