Rob Richardson

Now that the app is running in Kubernetes, how do we scale it to meet demand? What metric should we use? CPU? Requests? something else? Let's dig into why we auto-scale, and how we auto-scale with lots of examples. Finally we'll look at potential pitfalls and gotchas like how to scale to 0 and how to avoid scaling too big for your budget. Come learn how to scale with Kubernetes.

Are you a Docker aficionado or are you new to the Docker ecosystem? Come see how Kubernetes (K8s) adds a mature solution for running containers in production and development. We'll start with containers, layer in pods, replica sets, deployments, and services. We'll dig into minikube and kubernetes in docker desktop. You'll leave with a solid understanding of the principles of K8s, and a practical set of skills for driving this container orchestrator throughout the software development lifecycle.

It's day 2. Kubernetes is running. You have your deployments and services set. Now how do you migrate the data store? Let's journey together on this code-focused tour through Persistent Volumes, Persistent Volume Claims, and StatefulSets. We'll craft and launch a strategy to care for your users' data in this new container world. You can power your business on Kubernetes: stateless or stateful.

In our quest to secure all the things, do we jump in too quickly? We'll use Istio and Linkerd as example service meshes, and look at the features we would expect from a service mesh. We'll dive into the day-1 experience with both, and some advanced scenarios of using the service mesh. We'll compare this to border security with an app gateway, and compare and contrast the security features, complexities, and implementation costs. You'll leave with a concrete understanding of the benefits and tradeoffs you get when you pull in a service mesh, and be ready to justify the investment.

As we get deeper into Kubernetes yaml files, we see a lot of duplication. Can we move to a higher level that eliminates this duplication? Let's look at Helm, a tool both for templating k8s yaml files and for installing complex infrastructure dependencies as one package. With Helm 3, we now have deeper integration and more security when working with Kubernetes. Join us on this path to a simpler, more repeatable, and more discoverable yaml experience.

Are you looking to modernize your data infrastructure? Or are you confused at what all the terms mean? Let's look at the history of data storage from the humble beginnings of the relational database through the modern cloud-native data mesh paradigm. Data storage has evolved, and you can too.

Slides: https://robrich.org/slides/data-warehouse-mesh-lake/