Kubernetes Course from a DevOps guru (Kubernetes + Docker)

More Information
  • Deploy production-grade applications on Kubernetes
  • Administer, understand, and deploy Kubernetes
  • Deploy highly available Kubernetes clusters on AWS
  • Make applications running on Kubernetes reliably available to users using load balancing
  • Best practices for working with Kubernetes and Docker in the field.
  • Invaluable DevOps skills.

Kubernetes is at the cutting-edge of how the greatest apps scale, the most successful businesses ensure reliability day-in and day-out through all kinds of conditions, and how DevOps engineers around the world keep calm and stay effective. After being released as open-source from Google, where Kubernetes remained their "secret-sauce" in their seemingly infinite ability to scale their global-scale products and services without a hitch for almost a decade, Kubernetes + Docker have become the dominant and de facto standard in how applications containerized using technologies such as Docker are architected, deployed, managed, and scaled. If you consider Docker containers in an application as the individual members of an orchestra, each with a specific job and responsibility to stay on-tempo and on-track with the rest of their peers to deliver a great performance, you can think of Kubernetes as the conductor of the orchestra. It's no wonder then that, with its deep history and long track-record managing production applications ranging from small startups to the biggest companies in the world, Kubernetes is the de facto standard in the emerging area of Container Orchestration. From our first simple deployment of a Tomcat container on a local cluster to building a high-availability cluster serving up WordPress on MySQL that can withstand failures of machines, networks, or disks, we walk you through each task and show you not just the how, but also help you understand the why. We cover practical "gotchas" and other pieces of advice that just reading the documentation won't provide. Whether you're a newbie system administrator, an advanced developer, or even a CTO, when you Learn Kubernetes from a DevOps guru you're bound to gain an understanding into the technology that underpins the most well-designed and delivered applications available today. You will go from zero to Kubernetes hero in 5 hours.

Style and Approach

In this course, you'll use Kubernetes to deploy real-world applications; by doing so, you won't just learn by rote the concepts necessary to perform the individual tasks needed to operate Kubernetes, you'll also gain a fundamental understanding of how you can use Kubernetes to build and deploy robust applications.

  • This Kubernetes course contains a mini crash course on Docker, so even if you have zero knowledge about Docker, you can still follow along!
  • Master DevOps Skills and stay ahead in the competitive job market!
Course Length 6 hours 56 minutes
ISBN 9781789806823
Date Of Publication 19 Sep 2018


Basit Mustafa

Basit Mustafa’s technology career has focused on successfully applying technology to solve big problems, teaching others how to do the same, and leading teams that apply technology to solve business problems. He started his by a career at IBM as a software developer and rose through the technical ranks before leaving and starting his own startups. Most recently, he founded a startup where he architected, built, and brought to market the world's first Artificial Intelligence jury selection application for lawyers. Today, as he grows that business, he enjoys coaching and teaching others to do the same with a focus on using the latest technology to build whatever is their passion! In Level up, they aim to teach technology the way it is used in the industrial world. The Level up Big Data program is established to deliver high-quality data analytics courses from industry experts and influencers.

James Lee

James Lee is a passionate software wizard working at one of the top Silicon Valley-based start-ups specializing in big data analysis. He has also worked at Google and Amazon. In his day job, he works with big data technologies, including Cassandra and Elasticsearch, and is an absolute Docker geek and IntelliJ IDEA lover. Apart from his career as a software engineer, he is keen on sharing his knowledge with others and guiding them, especially in relation to start-ups and programming. He has been teaching courses and conducting workshops on Java programming / IntelliJ IDEA since he was 21. James also enjoys skiing and swimming, and is a passionate traveler.

Tao W.

Tao W. is a passionate software engineer who works in a leading big data analysis company in Silicon Valley. Previously Tao worked in big IT companies such as IBM and Cisco. Tao has a MS degree in Computer Science from University of McGill and many years of experience as a teaching assistant for various computer science classes. When Tao is not working, Tao enjoys reading and swimming, and he is a passionate photographer. In Level up, they aim to teach technology the way it is used in the industrial world. The Level up Big Data program is established to deliver high-quality data analytics courses from industry experts and influencers. Level UP was founded by James Lee and Tao W.