We are excited to publicly announce our Series A and also thrilled to have this event featured in TechCrunch. You can find Anthony Ha’s article here but to mark the occasion, we wanted to write a few words of our own.
As systems engineers with decades of experience working on critical software infrastructure, we are intimately familiar with the problems associated with debugging software. These experiences have taught us that debugging is not simply an act, but a difficult multi-step process riddled with inefficiencies. Existing products left us with insufficient means to capture error data and archaic methods to explore this data. They forced us to try and replicate errors locally, and conduct manual root-cause investigation that relied on deep domain expertise. We know we aren’t alone in this experience: the cost of debugging was an estimated $312B a year in 2013.
We found that solutions today aren’t focused on solving these inefficiencies, especially for critical infrastructure, where uptime and reliability are crucially important. To address these problems, engineers need a system that first, provides the means to capture in-depth information about their errors, and second, a way to manage, explore, and analyze that data in a flexible and efficient manner.
Thus, we established Backtrace with the goal of becoming the platform that software teams use to diagnose, support, and maintain software in unprecedented detail and unparalleled speed. We’ve built a single system to manage software errors, across languages, environments, and platforms with first-class native application support. Our mission is to improve the process, not just the act, of debugging, from capture, triage, and investigation to impact analysis, resolution, and post-mortems.
Backtrace provides a unique offering compared to error reporting and application performance management (APM) products. In the former case, error reporting captures a small amount of data and focuses their workflow and integrations around the unit of an error. APM solutions focus on capturing and analyzing “surface-level” metrics over time, like RPS and QPS but lack the information necessary to truly investigate errors. From our experience, the process of debugging software demands both the means to capture in-depth information about the event of an error and the ability to evaluate and share that data, across multiple dimensions, multiple events, and in high-fidelity.
We raised $5M last fall and used that capital to further expand our product offering, our team, and our customer acquisition efforts. We’ve since attracted marquee clients across ad tech, CDNs, ISVs, and other industries, and we’re proud of the traction we’ve made. Backed by great customers, we’re ready to change the way software organizations—from start-ups to large enterprises—operationalize their software error data.
We’re proud to have Amplify Partners and Work-Bench join Rally Ventures and Tribeca Venture Partners as investors. With their guidance, we will continue growing the team, the product, and acquiring new customers on our quest to improve the way software is developed and maintained.