O'Reilly Velocity Conference

5 things Go taught me about open source?

February 29, 2020

This talk is about the unexpected things Dave learned along the way trying to convince programmers to try Go and how they might translate to the experiences that all have working in an ecosystem of open source projects.

A fairy tale about habits; Or what we can learn from Cinderella and her peers in DevOps

February 29, 2020

Like Cinderella's "The good in the potty, the bad in the croppy," Sabine Wojcieszak explains why you should take a closer look at your habits and decide which of them will support your DevOps endeavors and which will harm them.

A GDPR retrospective: Implementation by a large-scale data organization in reality

February 29, 2020

GDPR was likely one of the biggest challenges in data management that occurred in 2018. Yulia Trakhtenberg dives into a one-year retrospective about how it was executed in reality at a large-scale data organization.

Accelerating engineering delivery tempo

February 29, 2020

The Splice engineering team grew almost 10 times in 18 months. The delivery practices that worked when it was 5 people broke way before it got to 50. Juan Pablo Buritica explains how the engineering team accelerated delivery using industry insights and data.

Autoscaling in reality: Lessons learned from adaptively scaling Kubernetes

February 29, 2020

Andy Kwiatkowski takes a deep dive into how Shopify saved a million dollars a year in infrastructure costs by rolling its own autoscaler.

Building a data ecosystem at Sweden's Television: Lessons and pitfalls

February 29, 2020

Sweden's Television manages online products that range from providing news to TV series and are used by millions of people. To make sure that it creates content that engages, entertains, and educates, it started its own platform for collecting and analyzing user data. Ismail Elouafiq highlights the architectural choices the company made and the lessons it learned in building its data ecosystem.

Building high-performing engineering teams, 1 pixel at a time

February 29, 2020

Psychological safety is one of the leading indicators of a high-performing team. Yet, Lena Reinhard explains, forging deep human relationships and building trust can be difficult when your team is distributed or largely interacts on screens.

CD with Kubernetes: The prequel (sponsored by GitLab)

February 29, 2020

If you're interested in learning a framework of reference to enable continuous deployment to Kubernetes for business-critical production applications, join in. Priyanka Sharma bridges the gap between how to make large-scale migrations of production applications and the nitty gritty details that engineering managers and leaders need to consider.

Chaos engineering: When the network breaks (sponsored by Gremlin)

February 28, 2020

Ho-Ming Li outlines how to use chaos engineering to accelerate your understanding of how your network can break (packet loss, black hole attacks, latency injection, and packet corruption) and impact your services.

Complex change through simple steps: 3 principles to reduce deployment time by 99%

February 28, 2020

While its great to think big, it's important to start small and sensibly. David Jungwirth explains how Enterprise Studio by HCL Technologies helped an enterprise achieve a deployment time reduction of 99%, double its releases, and massively reduce its overhead costs for each release with few small improvements over a period of two and a half years.

Controlled chaos: The inevitable marriage of DevOps and security

February 28, 2020

Software is eating the world, and security will be eaten as well if it doesn't evolve. Kelly Shortridge exposes why chaos and resilience engineering represents the future of security programsand why it catalyzes the dawn of defensive innovation. You'll examine how adopting distributed, immutable, and ephemeral infrastructure (the "DIE" triad) can create powerful security benefits.

Creating a scalable monitoring system that everyone will love

February 28, 2020

Molly Struve gives you the tools and strategies you need to build a monitoring system that will scale with your team and your infrastructure.

Everything is a little bit broken; or, The illusion of control

February 28, 2020

We never change the amount of work or technical debt; we just shift it, and with it, we change how it emerges and appears. Heidi Waterhouse explains how you can handle this level of uncertainty.

Fixing HTTP/2 and preparing for HTTP/3 over QUIC

February 28, 2020

Deploying HTTP/2 correctly can be challenging in practice, and HTTP/3 will make things even more difficult as the underlying QUIC protocol runs over user datagram protocol (UDP). Robin Marx explores practical proxying, caching, load balancing, and routing issues and how to overcome them.

GitOps 101

February 28, 2020

GitOps is the practice of continuous delivery using Git repos as the single source of truth, managing infrastructure and applications in an immutable and declarative manner. Michael Hausenblas motivates the model and shows it in action, using Kubernetes and a number of tools.

Helping your dev teams succeed at ops, post-Kubernetes

February 27, 2020

Michael Hobbs takes a look at how best to ensure your service owners can succeed with responsibilities and concerns that were traditionally the domain of ops teams prior to the deployment of Kubernetes for production load within a business.

Highly available cross-region deployments with Kubernetes

February 27, 2020

Out-of-the-box Kubernetes makes it easy to deploy and scale your applications within one Kubernetes cluster in one single region. But it's also possible to deploy an application over multiple clusters in different regions, so it becomes truly highly available even if a complete region fails. Learn how to deploy one application across multiple federated Kubernetes clusters with Bastian Hofmann.

How to deploy infrastructure in just 13.8 billion years

February 27, 2020

The reliability of cloud services tends to operate in the perpetual present tensefocused more on maintaining systems right now more than preparing for a far future. Ingrid Burrington explores how reframing the time scales of computation can change and maybe improve the way your build infrastructure.

How to make sense of real user performance metrics

February 27, 2020

Gilles Dubuc takes a deep dive into how Wikipedia interprets large amounts of real user performance data and the many pitfalls you can fall into when doing so.

Knative: A Kubernetes framework to manage serverless workloads

February 27, 2020

Knative is a Kubernetes-based platform to build, deploy, and manage modern serverless workloads. It provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere. Join Nikhil Barthwal to explore using Knative to build and deploy modern serverless workloads in a vendor neutral fashion.

Kubernetes at scale: The good, the bad, and the ugly (sponsored by Oracle Cloud Infrastructure)

February 27, 2020

Karthik Gaekwad explores why the Oracle Container Engine for Kubernetes (OKE) is one of Oracle Cloud's most popular platforms. You'll learn the good and some ugly lessons learned along the way on how to manage, operate, and scale Kubernetes at a cloud provider scale.

Kubernetes the very hard way

February 27, 2020

Laurent Bernaille examines the lessons he learned operating large Kubernetes clusters.

M3 and Prometheus: Monitoring at planet scale for everyone

February 27, 2020

Rob Skillington and ukasz Szczsny explore scaling monitoring, alerting, and configurational complexity for a single view of your applications, databases, infrastructure, and operations across all regions using M3 and Prometheus.

Making S3 even more resilient using Lambda@Edge

February 27, 2020

Julia Biro explains technical solutions and insights from building a true multiregion active-active file service using Lambda@Edge and S3 (with buckets in multiple AWS regions).

Measuring chaos: Chaos engineering and team health

February 26, 2020

Once restricted to companies like Netflix, chaos engineering is becoming a common practice in organizations of all sizes. Paul Osman outlines techniques Under Armour uses to measure service health with chaos engineering. He details its operational maturity model and how the company uses it to blamelessly identify teams that need additional help and action items to improve resiliency and happiness.

My love letter to computer science is very short and I also forgot to mail it

February 26, 2020

Details to come.

Observability: Understanding production through your customers' eyes

February 26, 2020

By empowering you to ask new questions of your software, observability fuels curiosity about the world as it is, not how you expect it to be. In the end, after all, Christine Yen explains, "Nines don't matter if your users aren't happy."

Operating a global cloud native platform

February 26, 2020

Operating cloud native infrastructure is more than just spinning up a container orchestrator. Auxiliary services are required in order to operate effectively and provide developers with a true platform experience. Josh Michielsen explores how Cond Nast operates multiple Kubernetes clusters across the world, with a focus on observability, testing, app delivery, and developer experience.