Kubernetes introduction

Kubernetes (commonly stylized as K8s) is an open-sourcecontainer-orchestration system for automating computer application deployment, scaling, and management. It was originally designed by Google and is now maintained by the Cloud Native Computing Foundation. It aims to provide a “platform for automating deployment, scaling, and operations of database management systems”. It works with a range of container tools and runs containers in a cluster, often with images built using Docker. Kubernetes originally interfaced with the Docker runtime through a “Dockershim”; however, the shim has since been deprecated in favor of directly interfacing with the container through containerd, or replacing Docker with a runtime that is compliant with the Container Runtime Interface (CRI) introduced by Kubernetes in 2016.

Many cloud services offer a Kubernetes-based platform or infrastructure as a service (PaaS or IaaS) on which Kubernetes can be deployed as a platform-providing service. Many vendors also provide their own branded Kubernetes distributions.

Kubernetes API

The design principles underlying Kubernetes allow one to programmatically create, configure, and manage Kubernetes clusters. This function is exposed via an API called the Cluster API. A key concept embodied in the API is the notion that the Kubernetes cluster is itself a resource / object that can be managed just like any other Kubernetes resources. Similarly, machines that make up the cluster are also treated as a Kubernetes resource. The API has two pieces – the core API, and a provider implementation. The provider implementation consists of cloud-provider specific functions that let Kubernetes provide the cluster API in a fashion that is well-integrated with the cloud-provider’s services and resources.

Kubernetes uses

Kubernetes is commonly used as a way to host a microservice-based implementation, because it and its associated ecosystem of tools provide all the capabilities needed to address key concerns of any microservice architecture.

DevOps preface

If you’re old, don’t try to change yourself, change your environment. —B. F. Skinner

One view of DevOps is that it helps take on that last mile problem in software: value delivery. The premise is that encouraging behaviors such as teaming, feedback, and experimentation will be reinforced by desirable outcomes such as better software, delivered faster and at lower cost. For many, the DevOps discourse then quickly turns to automation. That makes sense as automation is an environmental intervention that is relatively actionable. If you want to change behavior, change the environment!

In this context, automation becomes a significant investment decision with strategic import. DevOps automation engineers face a number of design choices. What level of interface abstraction is appropriate for the automation tooling? Where should you separate automation concerns of an infrastructure nature from those that should be more application centric?

These questions matter because automation tooling that is accessible to all can better connect all the participants in the software delivery process. That is going to help fos‐ ter all those positive teaming behaviors we are after. Automation that is decoupled from infrastructure provisioning events makes it possible to quickly tenant new project streams. Users can immediately self-serve without raising a new infrastructure requisition.

We want to open the innovation process to all, be they 10x programmers or citizen developers. Doing DevOps with makes this possible, and this blog will show you how.

This is a practical guide that will show how to easily implement and automate powerful cloud deployment patterns using. The container management platform provides a self-service platform for users. Its natively container-aware approach will allow us to show you an application-centric view to automation.

THE 8 ADVANTAGES YOU SHOULD GET FROM A CLOUD-BASED REPOSITORY

1 A UNIVERSAL, END-TO-END 3
SOLUTION FOR ALL BINARIES
• Compatibility with all build and integration tools on the

• packaging formats and integrating with all the moving parts of the ecosystem
and all other major package formats (25+ and growing)
• Supports Maven, npm, Python, NuGet, Gradle, Helm,
2 SCALABILITY AND REDUNDANCY
• pay-only-for-what-you-use cloud model
• Security that all data is stored in multiple locations
3 MANAGEMENT OF MANY BINARIES ACROSS DIFFERENT ENVIRONMENTS THAT SOLVES FOR
and providers

• Lack of metadata context
• Policy enforcement

5 SECURITY, ACCESS, CONTROL AND TRACEABILITY
• Information access management through authenticated users and access control
• Full artifact traceability to fully reproduce a build and debug it
• Secure binaries by identifying vulnerabilities and
6 RELIABLE REMOTE REPOSITORIES
• Consistent and reliable access to remote artifacts
• Local caching of artifacts eliminates the need to download them again as well as removes the dependency on unreliable networks and remote public repositories
7 ACTS AS A SECURE, ROBUST DOCKER REGISTRY
• docker registries
• Smart search for images
• Full integration with your building ecosystem
• Security and access control

8
A KUBERNETES REGISTRY
• Additional insight to your code-to-cluster process while relating to each layer for each application
• As your main Kubernetes Docker registry, collects trace content, dependencies and relationships with other Docker images which cannot be done using a simple Docker registry