Schedule: Framework-focused sessions

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.

The next evolution of AI and ML is cloud native, managed platforms, and custom-hardware AI. Noah Gift and Robert Jordan teach you how to use managed AI and ML platforms to create solutions in a fraction of the time as a “roll your own" ML solution. Join in to see how these cloud-managed solution compare so you can pick the right solution for the task at hand. 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.

Architecture standards change in months, not years, bringing new capabilities, but taking advantage of them requires constant monitoring and tight feedback loops. We’ve embraced continuous delivery, but how do we enable continuous evolution? Paula Paul and Cassandra Shum explore architecture as code as a means to enable continuous evolution. Read more.

Enterprise organizations are attempting to use managerial mechanisms from previous ages to direct software delivery in this one. The problem is that the principles of modern software-delivery approaches are not translating to the business. Mik Kersten presents the Flow Framework—a new approach to software delivery bridging the gap between business strategy and technology delivery. 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.

Private clouds present many unique challenges to architects and software engineering wishing to build and deploy machine learning solutions. Derek Ferguson and Laura Schornack walk you through a real-world example that addresses these challenges using Kubernetes, TensorFlow, and KubeFlow. Read more.

Testing microservices can be hard as they’re often coupled together through APIs or messaging. This can lead to too much reliance on slow end-to-end testing or unreliable unit tests caused by inaccurate stubs of other microservices. Andrew Morgan offers an overview of the consumer-driven contract testing technique, a TDD approach at the API level that aims to mitigate these problems. Read more.

OpenCensus is a new standard for tracing and metrics of cloud services, used for observability into applications that span multiple clouds and technological stacks. Simon Zeltser explains how to use vendor-agnostic client libraries for OpenCensus to export telemetry to common distributed tracing systems and covers core concepts like tags, metrics, exporters, zPages, and context propagation. 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.