Daniel Hinojosa

Machine Learning Data Pipelines

Monday, 11:00 AM EST

This workshop builds an entire event driven data pipeline with Machine Learning and Kafka. From Kafka where we use producers or Kafka Connect to generate information, we then will Kafka Streams to apply a machine learning model to make business decisions.

This intensive lab will start by integrating sources into our backplane, then train our models, and operationalize our model using Kafka Streams. We will then create result topics when we can read in as a report and display visualizations of our data. The result will also be scalable and fault tolerant.

Hashicorp Vault

Wednesday, 11:00 AM EST

Hashicorp Vault stores encrypted secrets securely. You can store anything that you want into Vault including API keys, passwords, and certificates. Vault can also store dynamic secrets where it can negotiate with a cloud service on your behalf without direct interaction with your API keys. Hashicorp Vault is well thought out “bank” of information that handles storage, encryption, leasing, sealing.

• Setting up a vault dev server
• Adding key values
• Secrets Engine
• Dynamic Secrets
• Establishing Policies
• Sealing
• Leases
• Rest API Access
• Deploy to Kubernetes

Hashicorp Vault

Wednesday, 1:00 PM EST

Hashicorp Vault stores encrypted secrets securely. You can store anything that you want into Vault including API keys, passwords, and certificates. Vault can also store dynamic secrets where it can negotiate with a cloud service on your behalf without direct interaction with your API keys. Hashicorp Vault is well thought out “bank” of information that handles storage, encryption, leasing, sealing.

• Setting up a vault dev server
• Adding key values
• Secrets Engine
• Dynamic Secrets
• Establishing Policies
• Sealing
• Leases
• Rest API Access
• Deploy to Kubernetes

Spinnaker and Kubernetes

Wednesday, 5:00 PM EST

Back in 2005, when an unknown program called Hudson came onto the scene, I was pretty excited. I had used CruiseControl up to that point and was getting pretty comfortable with the notion of Continuous Integration. Hudson had terrific graphics and an intuitive UI, unlike Cruise Control with XML laden directives. I thought the future was here. Then some cracks started showing, particularly in the delivery aspect of Hudson. I had used a Tomcat plugin, but trying to get a jar, use various environments, became a juggling act. Then came Docker, and I loved it because we get to deploy an image! No more SSHing into a box and messing things up. We had immutability. Now, we have Kubernetes, a system that takes these immutable containers and monitors them, among other great features. Jenkins still has its place but as CI, Continuous Integration. In this presentation, I will demonstrate Spinnaker, a system developed by Netflix for CD, Continuous Delivery. I will demonstrate how to set up, deploy, , monitor, rollback, and scale our pods with the ease of just selecting an item on a menu.

• Discuss Artifacts and Accounts
• Administering with Halyard
• Run a Jenkins Job to Triggering a Kubernetes Job
• Manage Deployments
• Baking

Kubernetes Security Concepts Part 1

Wednesday, 7:00 PM EST

There are multiple elements to Kubernetes where each component seems like a character in a book, pods, services, deployments, secrets, jobs, config maps, and more. In this presentation, we just focus on the security aspect of Kubernetes and the components involved. Particularly centered around RBAC and ServiceAccounts. What they are, what they do. We discuss etcd and secrets. We will also discuss other options for security in Kubernetes.

• Service Accounts
• Secrets
• Kubernetes API
• Authentication
• Authorization
• RBAC
• Roles and Cluster Roles