Course Description
Containerization and microservices in production! Demand from “the business” is off the charts, but is it really practical to manage it all?
DevOps-style practices have exploded in popularity as a way to transform application and IT service delivery. Microservices are becoming practical strategies not just for Silicon Valley startups, but also for larger, enterprise-scale organizations. For teams who are doing it right, these movements have led to exciting gains in speed, quality and innovation.
However, the engineering concerns necessary to pragmatically adopt these practices don’t always get as much exposure. Among them, few are as important as managing clusters of containers and services, and orchestration of processes and services so they actually stay aligned with the overall value framework we are trying to achieve in the first place. We also need a way to manage increasing layers of abstraction between services and infrastructure.
Get up and running with Kubernetes: the key to orchestration, cluster management and microservices in production.
This workshop is a fast-paced engineering overview which sends you back to work ready to begin using Kubernetes in your own environment. Of the limited tools available to manage containers at scale and implement strategies like microservices pragmatically, Kubernetes strikes a delicate balance between powerful capability and ease of use. We focus on getting you up to speed quickly and attaching your use of the tool to the best practices we’ve seen adopted and proven by top-performing IT teams in the enterprise DevOps community.
Led by an expert, you’ll get a walkthrough of each major feature and capability Kubernetes offers. Learn how to apply them in your own context and get access to a real-world practitioner who will walk you through demos and answer your questions in class. In two fast-paced days, you’ll be up and running with Kubernetes and ready to start making it part of your DevOps toolbox.
- Enable the ability to use the same APIs for all your private and public data centers.
- Use Kubernetes as a tool to offer “container-as-a-service” capabilities to their teams.
- Automate many traditional operational tasks such as Load Balancing, High Availability, Resource utilization, etc.
- Empower both operational and development organizations to synchronize service delivery and common application outcomes.
- Use Kubernetes to support multi-tenancy and a multi-data center control place as an alpha feature.
- Leverage the same open-source Kubernetes technology that has been adopted by Walmart, Pokemon Go, Ebay, Red Hat's Openshift, and other high profile early adopters.
- Automate many traditional operational tasks such as Load Balancing, High Availability, Resource utilization, etc.
- Deliver software and IT services as smaller, faster and more adaptive components of your overall architecture.
- Take major steps towards implementing microservices in a pragmatic, real-world fashion
Substitution & Cancellation Policy:
You may cancel or reschedule up to 21 days prior to the start date of the class at no penalty. For any cancellation or reschedule requests within 21 days, the full course tuition is still due and not eligible for refund. Any paid tuition will be credited towards a future class and must be used within 12 months.
*Partner delivered courses may be subject to different cancellation terms
Agenda
Part 1: Prerequisites – Kubernetes Foundations
- Containers
- Linux Kernel Features
- Container User Experience
- New Container Capabilities
- Gaps using Containers in Production
- Microservices
- DevOps
Part 2: Core Concepts of Kubernetes
- Cluster Orchestration
- Looking at K8S Origination at Google
- Open Source
- Benefits
- Design Principles
Part 3: Navigating Kubernetes Architecture
- Master/Node
- Kubectl
- Replication Controller
- Kubelet
- Kube-Proxy
- Persistent Volumes
- Etcd
- High Availability
Part 4: Using Kubernetes Features
- Pods
- Labels
- Services
- Namespaces
- Resource Quota
Part 5: Security and Kubernetes
- Goals
- Roles
- Attribute-Based Access Control
- Policies
- Service Accounts
- Secrets
Part 6: Networking and Kubernetes
- Docker Networking
- Kubernetes Networking
- Pod to Pod
- Exposing Services
- IP Per Pod
- Inter Pod Communication
- Intra Pod Communication
Part 7: Cluster Add-ons
- Cluster DNS
- Logging with Elasticsearch and Fluentd
- Container Level Monitoring
- cAdvisor
- InfluxDB
- Prometheus
Part 8: Practical Kubernetes Examples
- Hello World
- Wordpress
- Guestbook
- 3 Tier App
- Http/Https Load Balancing
Part 9: Continuous Integration with Kubernetes
- Canary Release
- Blue Green Deployment
- A/B Testing
- Rolling Update
- Jenkins Plugin
Part 10: Roadmap/Beta
- Ingress
- Deployments
- Autoscaling
- Jobs
- DaemonSets
- Network Plugins
- DNS
Part 11: Class conclusion – Implementation, Q and A, Next Steps
- Discussion: What can you apply?
- How can Kubernetes help your situation
- Expert Q and A