Schedule: Hands-on sessions

Software engineers usually find themselves changing hard-coded content on the presentation layer, changing a paragraph here and there; that’s difficult to maintain and hard to scale. Now imagine you have to support and apply the same changes on the website and other devices. Edwin Maldonado provides the tools you need to design a reusable information architecture. Read more.

With systems like Travis CI, Circle CI, and CodeBuild, we're never more than a few lines of YAML away from a complete continuous delivery pipeline. However, ephemeral build systems constantly recreate the world from scratch, increasing build time and lengthening the CD feedback loop. John Chapin addresses those challenges and shares a reference pipeline using AWS CodePipeline and CodeBuild. Read more.

Valentina Rodriquez shares a manifest describing a set of principles to design high-quality architectures. If you're planning to change your career or just want to improve your architect skills, join in. Read more.

Join Christian Hernandez to learn Kubernetes basics using curl, kubectl, oc, and other command-line tools. You'll discover how to model portable, scaleable, and highly available solutions using open source tools for distributed computing. Read more.

A web API, like a website, is a channel into your business domain. Because of its simplicity, REST is the de facto standard for developing web APIs. But translating complex domain behavior to simple REST concepts is not straightforward. Tom Hofte and Marco van der Linden discuss RESTful resource modeling and share practical solutions to bridge the gap between a domain model and a RESTful API. Read more.

Join Philip Wittrock to learn the fundamentals behind Kubernetes API creation and build your own Kubernetes extension API. You'll cover the fundamentals of defining APIs as resources (e.g., versioning semantics) and implementing APIs as controllers. During the second half, you'll apply the conceptual material as we build our own Kubernetes API for MongoDB from scratch. Read more.

Serverless architecture opens up a world of opportunity for development, providing ease of use while deploying and operating at scale. But this can decrease visibility, making it difficult to see when your environment is misbehaving in terms of throughput, functionality, and performance. Tal Weiss introduces a successful new framework for debugging serverless architecture with real-world examples. Read more.

Being wrong is often seen as the worst thing that can happen, especially when you build business-critical applications and services. Never before has software owners had such an opportunity, or the power, to be wrong. Russ Miles turns being wrong into a superpower for you and your organization. Read more.

Anuar Nurmakanov shares his team’s journey with DDD from the very beginning of a project and outlines the many problems they faced. He then details some anti-patterns to be afraid of and how to deal with them, DDD best practices, and how DDD and microservices ideas can leave together. Read more.

Reactive software development is becoming essential to implementing responsive, resilient, elastic, and message-driven solutions. Vaughn Vernon shows you how, by aligning scale and throughput with business-driven model fluency of your core initiatives, you can achieve critical differentiating competitive advantage. Read more.

The growing number of commercial and open source satellite imagery datasets is enabling remote sensing data for industrial applications. Alex Kudriashova walks you through designing and building an entire processing infrastructure and discusses its challenges, like infrastructure scalability, large frame size, data accessibility and latency, and cross-calibration between the data sources. Read more.

The resiliency of microservices-based applications heavily depends on how well they handle interservice communication over an unreliable network. Kasun Indrasiri provides an in-depth overview of common microservice resiliency patterns such as timeout, retry, circuit breaker, fail-fast, bulkhead, transactions, and failover/load balancing, and the role service meshes play in realizing them. Read more.

Containers have become the new standard to build cloud native microservice-based applications, and organizations are leveraging service meshes to solve common issues like service discovery, traffic management, circuit breaking, telemetry, fault injection, and more. Join Samir Behara to go beyond the buzz and understand microservices and service mesh technologies. Read more.

One of the main issues with deploying deep learning solutions is finding the right way to operationalize models within the company. The serverless approach for deep learning provides cheap, simple, scalable, and reliable architecture. Rustem Feyzkhanov shows you how to deploy the TensorFlow model for image captioning on AWS infrastructure. Read more.