At Dev Nexus 2018 my co-worker, Adarsh, and I led a workshop “Introduction to Kubernetes”
Introduction to Kubernetes is a hands-on, interactive workshop giving attendees a thorough understanding of the fundamentals of Kubernetes. As part of this workshop, you will learn how Kubernetes works, be able to successfully create a kubernetes cluster, deploy microservices to that cluster & also hear about some war stories.
https://contino.github.io/intro-k8/
Developer density @devnexus!
First class speakers!
On December 29th I completed my final goal of the year - I passed the CKA.
TL;DR This is a list of the bare minimum necessary to try to pass.
Do Kelsey Hightower’s tutorial Kubernetes The Hard Way at least three times! Understand it, internalize it. Do all the tasks on https://kubernetes.io/docs/tasks/ Read Kubernetes in Action by Marko Luksa Also practice, practice, and practice. Did I mention practice? This is a practical exam, no multiple choice questions here.
Another year, another re:Invent down! 2018 had everything we have come to expect from AWS and re:Invent - releases, updates, sessions on everything and shots at Oracle. The focus this time was certainly on developer experience, Artificial Intelligence/Machine Learning and Serverless.
There were at least sixteen new releases in regards to ML/AI. Sagemaker got new features in Ground truth and RL. There is now a marketplace for machine learning algorithm writers to release them and earn from all their hard work.
Before we dive into some of the highlights from DockerCon 2017, let’s do a quick overview of what Docker is. Quite simply, a “docker container” is a portable container, of sorts, that allows a collection of apps to run on any operating system.
How is it possible, you ask, for a docker container to allow any app to “Build, Ship and Run,” as the docker motto says, on any OS? A docker container uses kernel features to produce resource isolation (CPU, memory, block I/O and more) as well as separate namespaces, to isolate the application’s view of the operating system (a visual depiction below).
This talk was presented in 2017 at Louisville Local Software Development Conference Codepalousa.
In this presentation I discussed DevOps, how Continuous Integration and Deployment integrates into that, and how CI/CD can be implemented with AWS services.
Running Rules for CI/CD AWS Tool 1. Maintain a code repository Commit 2. Automate the build * 3. Keep the build fast Build 4. Make the build self-testing Deploy 5. Commit early, commit often Commit 6.