University of OXford & University of camBRiDGE
...is a collective term for characteristics that the two institutions share.
Kubernetes Microservices
by Richard Chesterwood
Publisher: Manning Publications
Release Date: April 2019
ISBN: 10000DIHV201804
Lecture Size: 39x150
Lecture Date: 05.2019
Lecture Link: https://www.oreilly.com/
| Microservices designs require you to change how you build and
| deploy applications. Instead of creating a tightly-integrated
| collection of related components, microservices employ a system of
| single-purpose mini-applications that cooperate as a system. This
| can get tricky quickly when you're in a distributed cloud-based
| environment with lots of moving parts. Kubernetes, a component
| management system developed by Google, provides a configurable
| layer for deploying, managing, and scaling the parts of a
| microservices application. Combined with the Docker container
| system, Kubernetes makes deploying and monitoring microservices on
| a cloud system like AWS much safer and more stable than using
| home-brewed processes. In the comprehensive Kubernetes
| Microservices video course, expert instructor Richard Chesterwood
| teaches you to deploy and monitor microservice systems on AWS
| using Kubernetes, Docker, and other industry-standard tools.
| about the subject
| Kubernetes, aka K8S, is a container orchestration system perfect
| for automating the management, scaling, and deployment of
| microservice applications. This incredibly popular framework
| allows you to manage hundreds or thousands of containers at
| production scale. It's backed by a passionate open-source
| community, and can run practically anywhere. It's also an
| incredibly-valuable skill to have on your resume. Google has
| trusted it to run its production workloads for more than 15 years.
| Companies like them and other happy Kubernetes users including
| IBM, Ocado Technology, and Github will be on the lookout for
| Kubernetes-savvy developers.
| about the video
| In Microservices Kubernetes, seasoned instructor Richard
| Chesterwood takes you through the process of getting a
| microservice system running on a production cluster, with the help
| of visual examples and real-world exercises. You'll explore pods
| and replica sets, and you'll run Kubernetes locally using
| Minikube, an easy-to-use tool designed for that purpose. You'll
| also learn which factors and tradeoffs to consider when making
| decisions about managing complex microservice systems. You'll
| complete the first part of this illuminating liveVideo course on
| your standalone development computer. Then you'll move to the
| cloud where you'll use a real AWS account. Working in a realistic
| production environment gives you hands-on experience monitoring
| your system using industry-standard tools such as ELK/Elastic
| Stack, Prometheus, and Grafana. As you go, you'll practice
| priceless Kubernetes skills like container deployment, live
| cluster monitoring, log analysis, and more!
| Because microservices systems can be complex to set up, this
| course comes with a pre-built application to deploy and run. And
| don't worry if you're not a Microservices guru! Along the way,
| Richard offers experience-driven insight into the design and
| implementation of these systems.
| Inside:
Deploy containers to a Kubenetes cluster
Run Kubernetes in AWS using the Kops management tool
Monitor a live cluster using Prometheus and Grafana
Analyze system-wide logs using the ELK Stack
Handle alerts by notifying Slack channels
| This course assumes you're a competent developer familiar with
| typical application back ends. Some experience with working from
| the Linux command line, as well as with Docker and AWS is helpful,
| although not absolutely necessary.
| Richard Chesterwood has been developing high-quality software
| systems for 25 years. Passionate about great technical education,
| he's been delivering training courses worldwide for the last 15
| years, particularly in the area DevOps. He currently manages
| several large scale microservices projects in the cloud.