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Will Larson explores how Stripe has evolved its approach to prioritizing technical infrastructure as the company grew from two founders to millions of users and 1,300+ employees.

Software and applications run on a real physical network. Trying to deliver packets across the data center or around the world can pose unique challenges depending on the application and performance requirements because modern networks are a complicated mix of technologies. André Henry explores the sources of latency on the network and explains how to mitigate them.

Chaos engineering provides a mechanism for us to discover vulnerabilities in our infrastructure and applications by proactively seeking it out. While this is a great starting point, Patrick Higgins shares how you can apply its practices to holistically enhance the resilience of your organizations and products.

Heidi Waterhouse explains how to handle uncertainty by adding in error budgets, layered access, and other accommodations for failure and for designing your systems for function over form or purity.

The extended Berkeley Packet Filter (eBPF) ecosystem can be hard to wrap your mind around. Lorenzo Fontana is here to help you understand it while applying eBPF programs to nodes and resources of a Kubernetes cluster.

The mantra with Git is "commit early, commit often." With deep insight into your applications, you can deploy early and deploy often. Darren McCleary explores how the New York Times games team fearlessly pushes changes to production and monitors its impact for 400,000+ crossword subscribers and how the team rapidly drills into issues when they occur.

Observability may be the hot new thing, but for many devs, it's unclear how to gracefully get from where they are now (searching across logs or using canned APM tools) to debugging production with ease. Christine Yen makes the case that observability can be more valuable to devs than ops, and she lays out a series of practical steps to up-level a team's ability to ask questions of production.

Instagram is widely used across the world and serves billions of users every day. Guilin Chen and Shobhit Kanaujia pull back the curtain on how Facebook operates Instagram efficiently at scale.

Many platforms require a deep understanding of client traffic. But efficiently divining the desired signal from the continuous stream of traffic in at-scale edge networks is an enormous challenge. Shannon Weyrick and Clare Gollnick discuss strategy and technology for analysis and aggregation at the edge, plus centralized collection, all based on real-world use cases.

Kubernetes provides a powerful set of APIs and abstractions for building distributed systems, and it provides users with the ability to build and install their own extension APIs alongside the core APIs. Phillip Wittrock covers how core Kubernetes APIs are designed and built and teaches the basics of writing an installable custom Kubernetes API.

The last two years have seen the emergence of several mechanisms to isolate workloads in containers as well as Kubernetes's ability to run these in a single multitenant cluster. Ricardo Aravena explores the pros and cons and explains how users can benefit from them.

Kube-hunter is an open source penetration testing tool for checking the security of your Kubernetes cluster. Liz Rice explores how kube-hunter finds problems and misconfigurations and shares lessons on securing your cluster learned as a result.

As the number of teams, clusters, and namespaces grows within an organization, it becomes increasingly difficult to maintain any kind of coherence. Amy Chen discusses how, by aligning identity, resource limits, and your application’s security posture, cluster operators can get more organizational mileage out of Kubernetes namespaces.

Aaron Schlesinger dives into case studies on why and how it's hard for app developers to adopt Kubernetes. He walks you through the tools to make the transition easier, providing a holistic view of how to fit everything together to make Kubernetes easier for teams. You'll leave with what you need to get your teams started with or improve your team’s productivity on Kubernetes.

Kat Fitzgerald walks you through building and maintaining a secure Kubernetes environment.

Chaos engineering allows security incident response teams to proactively experiment on recurring incident patterns to derive new information about underlying factors that were previously unknown. Join Aaron Rinehart to explore the hidden costs of security incidents, learn a new technique for uncovering system weaknesses in systems security, and more.

Maya Kaczorowski explores how containers offer a fundamentally different, possibly better, security model than you're used to. They enable you to patch your environment more easily, identify when you're affected by a new vulnerability, and enforce governance for what is deployed in your environment.

You may have heard about CVE-2018-1002105, one of the most severe Kubernetes security vulnerabilities of all time. But how does this flaw work? How can it be exploited, and what does it all mean? Ian Coldwater takes a deep dive into the exploit to explain the risks and gives you practical advice about how to protect your clusters.

As BuzzFeed transitioned to microservices, it needed to secure a growing number of internal tools. BuzzFeed's first solution was an open source auth service deployed in front of each app, but this approach had a number of scaling issues. Shraya Ramani discusses SSO, BuzzFeed's open source, homegrown, centralized solution which elegantly solved this problem.

Mehant Baid covers the challenges Dropbox faced while running Edgestore—a low-latency, distributed data store that serves 10 million requests per second. He shares the technical and cultural changes Dropbox adopted that enabled the company to consistently hit its service level objectives.

If we can't seem to get single-process shared data access right, Sean Allen asks, what chance do we have when we use distributed state?

The future is here and the future needs more than your basic relational databases. Amanda Moran explains Apache Cassandra data modeling, how to do it right, and how you can be successful with cloud native distributed databases by avoiding common mistakes.

After five years of helping hundreds of customers use Apache Kafka, you've seen it all. Gwen Shapira provides an overview of the most common ways Apache Kafka users manage to cause downtime and lose data. And how to avoid them.

Alex Rasmussen explores different categorical solutions to the problem of schema evolution—what happens when the structure of your structured data or API payload changes—and the trade-offs associated with each solution.

Vendors are trying to frame mesh as a new technology. However, just microservices are a pattern, not a specific technology, a service mesh is a new way to deploy features that were previously the domain of API management. Marco Palladino discusses the architectural pattern of the service mesh, the reasons for its emergence, and the technical requirements for meshes.

Join Ryan Kitchens for an introduction to Safety-II concepts that will help move the industry forward, increasing the opportunity for learning from success with some fundamental and practical ways that get us from "Why did things go wrong?" to "How did things go right?"

Nicolas Brousse and Oleksii Mykhailov found a distributed infrastructure that leverages public cloud providers and a private cloud with open infrastructure can deliver dynamic advertising content with low latency, preserving its high availability in an award-winning paper. Join them as they present their techniques and demonstrate how to design an ad-serving service that is resilient to failure.

NS1 first developed and operated a SaaS DNS platform, then shifted to releasing versioned software for on-prem use of its DNS products. Renee Orser shares the many lessons learned, including the relationship between system architecture and organizational design, while the team managed the challenges brought by diversification of a single platform across a suite of deployment models.

As one of the key drivers, an architect must be able to answer to any questions coming from developers, business analysts, and even Scrum Masters. Anuar Nurmakanov shares a journey using DDD and the many problems they faced. He shows what an architect can do to influence a team to start and keep using DDD even if facing obstacles and problems. Real life experience from the trenches.

Karthik Gaekwad walks you through security strategies and pitfalls viewed through a serverless lens. You'll leave with a solid understanding of how to approach security conversations about serverless applications in the enterprise.

Applications are subject to intense scrutiny over their performance with research showing more than one-third of users will leave an app and never return if performance is not satisfactory. Whether you're just getting stated with your journey or looking to take your performance testing to the next level, you won't want to miss Kevin Dunne highlighting all of the latest tips and tricks.

Artificial intelligence for IT operations (AIOps) breaks the traditional, bottom-up, rules-driven approach to incident management. Using AIOps, you can improve customer service, lower operational costs, and boost productivity. Richard Whitehead explores how AIOps is capable of delivering continuous service assurance.

Rajesh Raman dives deep into the practice of observability, demonstrating how a more analytics-driven approach to metrics, traces, and other monitoring signals improves observability. You'll learn a framework for kick-starting a culture of observability in your organization, informed by Rajesh's experience building and deploying observability tools at SignalFx.

Interested in becoming more data driven and empowering your peers and coworkers with insights and data? Yoni Leibowitz and Sasha Rosenbaum share how Microsoft has been constantly transforming its engineering, support, finance, and marketing work via new tech for data-driven decisions.

The scale of cloud native environments can be overwhelming. How do you employ cutting-edge technology to ensure the best app performance for customers executing thousands or even billions of transactions a day? Jon Hodgson, Jeremy Tupa, and Marcelo Soares share practical advice you can apply to your own environment, whether large or small.

Application delivery now spans a range of technologies and deployment models: virtual machines (VMs), containers, serverless functions. Protecting these environments efficiently and minimizing errors is challenging unless your security is based on application identity and verifiable policies. Dimitri Stiliadis explains how to achieve robust security with end-to-end auth n, auth z, and encryption.

Program chairs Nikki McDonald, James Turnbull, and Ines Sombra open the first day of keynotes.

Microservices and cloud native technologies is the path for building large-scale, distributed systems. Can it do the same for teams? Chen Goldberg leads the Google engineering team building Kubernetes, Istio, GKE, and Anthos and explains how the same tech can help build happy teams.

Dave Andrews sheds light on how the edge landscape has been—and is still—evolving with a look at the new class of low-latency/high-bandwidth application domains and how Verizon Digital Media Services is helping to deliver this to its customers.

Jess Kerr argues that most programming careers aren't about writing software; they're about changing it. With this distinction, she'll share some things about reuse, delivery, quality, and how to grow as a programmer.

Lachlan Evenson and Bridget Kromhout discuss Microsoft's journey to build Kubernetes policy controller Gatekeeper in the open and explain how the tool helped inform how an enterprise offering on Azure. Join in for pragmatic tips on how to effectively contribute to and use open source tools.

Yaniv Aknin dives into the secret sauce for a successful SRE organization: high-quality measurements of reliability. He explains why measuring reliability is crucial (and why it’s so hard), shares a couple of tips for getting it right, and explores why it’s the key differentiator between SRE and DevOps.

Lena Hall takes you on an adventure into the multifaceted universe of ever-changing distributed systems.

Program chairs James Turnbull, Nikki McDonald, and Ines Sombra close the first day of keynotes.

Join other attendees during lunch at Velocity to share ideas, talk about the issues of the day, and maybe solve a few problems. If you aren’t sure which topic to pick, don’t worry—it's not a long-term commitment. Try two or three, and settle on a different one tomorrow.

If you’d like to make new professional connections and hear ideas for supporting diversity in the tech community, come to the diversity and inclusion networking lunch on Wednesday.

Join us in the Expo Hall for drinks and food at the Velocity Expo Hall Reception.

Jumpstart your networking at Velocity by coming to Speed Networking before the keynotes begin. Bring your business cards and prepare a minute of chitchat about yourself, your projects, and your interests.

Join us for the O'Reilly 5K Fun Run/Walk! You don’t have to be a serious runner. We encourage you to go at your own pace and stop to take in views of San Jose.

Join us at The Tech to enjoy the best of local food, drink, and entertainment and have a chance to win amazing prizes. Attendees of both Velocity and Software Architecture are invited, so you'll have the opportunity to network with everyone.