Cloud native sessions

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 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.

There are many good reasons to use a microservices architecture, but there are no free lunches. The advantages of microservices come with added complexity. Teams should happily take on that complexity…provided the application in question benefits from the upside of microservices. Nathaniel Schutta cuts through the hype to help you make the right choice for your unique situation. 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.

Every organization has at least a phalanx or two in the cloud. This is, understandably, changing the way we architect our systems. But your application portfolio is full of heritage systems that hail from the time before everything was as a service. Not all of those applications will make it to the valley beyond, so join Nathaniel Schutta for tips on grappling with your legacy portfolio. Read more.

Service mesh discussions are dominated by vendors trying to frame mesh as a new technology. However, just as microservices are a pattern, not a specific technology, service mesh is a new way to deploy features that API management once comprised. Marco Palladino explores the service mesh pattern, notes the reasons for its emergence, and outlines the technical requirements. Read more.

Twilio SendGrid delivers more than 50 billion emails per month from some of the most recognizable brands on the internet. Three years ago, SendGrid began a journey to fully rearchitect its systems to cloud native, as a precursor to public cloud migration. Join J.R. Jasperson to explore the drivers, trade-offs, and technical decisions that enabled SendGrid’s transition to the cloud. Read more.

When you’re operating multiple services, outages can feel like murder mysteries. Forensics tools such as monitoring and observability are essential, but it's a challenge balancing priorities between new features and tools to pinpoint root causes. Thomas Rampelberg discusses how Linkerd 2.0 provides many of the tools you need to tame the chaos of operating microservices in a cloud native world. 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.

The ecosystem in which we are building our solutions is rapidly growing, and it's challenging to make the right decisions and keep track of the expanding options. Lena Hall and Adron Hall share solution architecture best practices for distributed cloud native systems. Find answers to hard questions to help design failure-proof, manageable, flexible, ready to adjust to future changes systems. 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.

Eric Brewer discusses the importance of Istio and its role in shaping the future of microservices management by offering a more secure environment, visibility for monitoring, and logs for services. Join in to explore Istio and learn how the project is optimized to work with on-premises and cloud infrastructures. 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.