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Optimizing Observability with Jaeger, M3, and XYS at Uber

When something goes wrong with a piece of code, engineers want to know all the relevant details of the error immediately so they can get right to work remedying the malfunction. 

However, as technology has advanced, measuring system metrics and

Open Source at Uber: A Conversation with Yuri Shkuro, Jaeger Project Lead

Behind your ability to ‘tap a button and get a ride’ on the Uber platform, a complex ecosystem of microservices works together to deliver a seamless user experience. With over 3,000 microservices running at any given time, visibility into Uber’s

How We Saved 70K Cores Across 30 Mission-Critical Services (Large-Scale, Semi-Automated Go GC Tuning @Uber)



As part of Uber engineering’s wide efforts to reach profitability, recently our team was focused on reducing cost of compute capacity by improving efficiency. Some of the most impactful work was around GOGC optimization. In this blog we want

CRISP: Critical Path Analysis for Microservice Architectures

Uber’s backend is an exemplar of microservice architecture. Each microservice is a small, individually deployable program performing a specific business logic (operation). The microservice architecture is a type of distributed computing system, which is suitable for independent deployments and scaling

Introducing Domain-Oriented Microservice Architecture


Recently there has been substantial discussion around the downsides of service oriented architectures and microservice architectures in particular. While only a few years ago, many people readily adopted microservice architectures due to the numerous benefits they provide such as

Why We Leverage Multi-tenancy in Uber’s Microservice Architecture


The performance of Uber’s services relies on our ability to quickly and stably launch new features on our platform, regardless of where the corresponding service lives in our tech stack. Foundational to our platform’s power is its microservice-based architecture

Introducing Uber’s Open Source Principles


Open source software underpins much of Uber’s  technology stack. Our teams also actively contribute to and develop software in the areas of artificial intelligence, deep learning, mobile development, data visualization, and infrastructure. Some of our projects, including Jaeger, Horovod

Uber Open Source in 2019: Community Engagement and Contributions


Open source software has been integral to the success of the Uber platform and its underpinning technologies since the company’s founding in 2009. Since then, Uber engineers have created new open source projects as well as leveraged and gave back

Enabling Collaboration through Open Source: Highlights from Uber Open Summit Sofia 2019

Uber held its first open source summit on November 15, 2018 in San Francisco. Following the success of this event, we held a second edition of the summit in Sofia, Bulgaria in April 2019. Sofia, home to one of

Announcing the Uber Open Summit Sofia 2019

Open source software plays a big part at Uber and other San Francisco Bay Area tech companies, but its impact can be felt globally. Engineers all over the world launch new open source projects that find widespread adoption among leading

Building Locally, Scaling Globally: Meet the Tech Team at Uber New York City

From engineers and data scientists to product managers and designers, Uber’s tech team in NYC hosts our Observability, Uber Eats, Uber for Business, and Payments Engineering teams.

Our Observability team manages the reliability and stability of our microservice

Year in Review: 2018 Highlights from Uber Open Source


The diversity of Uber’s open source offerings speaks to the complexity of our technology stack and the business problems we use these projects to solve. Open source also gives our engineers, data scientists, and researchers the opportunity to further build

Collaboration at Scale: Highlights from Uber Open Summit 2018

Uber held its first open source summit on November 15, 2018, inviting members of the open source community for presentations given by experts on some of the projects we have contributed in the fields of big data, visualization, machine learning,

Observability at Scale: Building Uber’s Alerting Ecosystem


Uber’s software architectures consists of thousands of microservices that empower teams to iterate quickly and support our company’s global growth. These microservices support a variety of solutions, such as mobile applications, internal and infrastructure services, and products along with complex

Preview 7 Open Source Projects from the Uber Open Summit


Open source software pervades the work we do at Uber. On the infrastructure side, we have contributed projects like Jaeger, which lets engineers trace complex architectures, and M3, a metrics platform that works with Prometheus. For

Announcing Uber Open Summit 2018: Collaboration at Scale

Like most technology companies, open source has played a large role in the growth of Uber’s business, and our teams use and contribute to numerous projects. In 2012, we released our first open source project on GitHub. Six years later, …

Introducing QALM, Uber’s QoS Load Management Framework


Much of Uber’s business involves connecting people with people, making the reliability of our customer platform crucial to our success. The customer platform supports everything from ridesharing and Uber Eats, to Uber Freight and Uber for Business. Our

Year in Review: 2017 Highlights from Uber Open Source

Since the beginning, Uber has relied on open source technologies to build reliable, production-hardened systems that can grow at scale. In this spirit, Uber Engineering has given back several technologies to the open source community, ranging from a data visualization

Evolving Distributed Tracing at Uber Engineering

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber Engineering, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds