Design, deploy, and manage large-scale containers using Kubernetes
Key Features
- Gain insight into the latest features of Kubernetes, including Prometheus and API aggregation
- Discover ways to keep your clusters always available, scalable, and up-to-date
- Master the skills of designing and deploying large clusters on various cloud platforms
Book Description
If you are running a number of containers and want to be able to automate the way they're managed, it can be helpful to have Kubernetes at your disposal.
This Learning Path guides you through core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You'll get started by learning how to integrate your build pipeline and deployments in a Kubernetes cluster. As you cover more chapters in the Learning Path, you'll get up to speed with orchestrating updates behind the scenes, avoiding downtime on your cluster, and dealing with underlying cloud provider instability in your cluster. With the help of real-world use cases, you'll also explore options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you'll gain insights into custom resource development and utilization in automation and maintenance workflows.
By the end of this Learning Path, you'll have the expertise you need to progress from an intermediate to an advanced level of understanding Kubernetes.
This Learning Path includes content from the following Packt products:
- Getting Started with Kubernetes - Third Edition by Jonathan Baier and Jesse White
- Mastering Kubernetes - Second Edition by Gigi Sayfan
What you will learn
- Download, install, and configure the Kubernetes code base
- Create and configure custom Kubernetes resources
- Use third-party resources in your automation workflows
- Deliver applications as standard packages
- Set up and access monitoring and logging for Kubernetes clusters
- Set up external access to applications running in the cluster
- Manage and scale Kubernetes with hosted platforms on Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)
- Run multiple clusters and manage them from a single control plane
Who this book is for
If you are a developer or a system administrator with an intermediate understanding of Kubernetes and want to master its advanced features, then this book is for you. Basic knowledge of networking is required to easily understand the concepts explained.
Table of Contents
- Introduction to Kubernetes
- Understanding Kubernetes Architecture
- Building a Foundation with Core Kubernetes Constructs
- Working with Networking, Load Balancers, and Ingress
- Using Critical Kubernetes Resources
- Exploring Kubernetes Storage Concepts
- Monitoring and Logging
- Monitoring, Logging, and Troubleshooting
- Operating Systems, Platforms, and Cloud and Local Providers
- Creating Kubernetes Clusters
- Cluster Federation and Multi-Tenancy
- Cluster Authentication, Authorization, and Container Security
- Running Stateful Applications with Kubernetes
- Rolling Updates, Scalability, and Quotas
- Advanced Kubernetes Networking
- Kubernetes Infrastructure Management
- Customizing Kubernetes API and Plugins
- Handling the Kubernetes Package Manager
- The Future of Kubernetes
Jonathan Baier is an emerging technology leader living in Brooklyn, New York. He has had a passion for technology since an early age. When he was 14 years old, he was so interested in the family computer (an IBM PCjr) that he pored over the several hundred pages of BASIC and DOS manuals. Then, he taught himself to code a very poorly-written version of Tic-Tac-Toe. During his teenage years, he started a computer support business. Throughout his life, he has dabbled in entrepreneurship. He currently works as Senior Vice President of Cloud Engineering and Operations for Moody's corporation in New York.
Gigi Sayfan is a principal software architect at Helix a bioinformatics and genomics start-up and author of Mastering Kubernetes. Gigi has been developing software professionally for more than 20 years in domains as diverse as instant messaging, morphing, chip fabrication process control, embedded multimedia applications for game consoles, brain-inspired machine learning, custom browser development, web services for 3D distributed game platforms, IoT sensors and virtual reality. He has written production code in many programming languages such as Go, Python, C, C++, C#, Java, Delphi, JavaScript, and even Cobol and PowerBuilder for operating systems such as Windows (3.11 through 7), Linux, Mac OS, Lynx (embedded), and Sony PlayStation. His technical expertise includes databases, low-level networking, distributed systems, unorthodox user interfaces, and general software development life cycle.
Jesse White is a 15-year veteran and technology leader in New York City's very own Silicon Alley, where he is a pillar of the vibrant engineering ecosystem. As founder of DockerNYC and an active participant in the open source community, you can find Jesse at a number of leading industry events, including DockerCon and VelocityConf, giving talks and workshops
