I’ve been distracted for over a year now, writing a (~500 page) end-to-end tutorial on constructing data-centric platforms with Kubernetes. The book is titled “Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning”
Blockchain technologies have been made famous by Cryptocurrencies such as Bitcoin and Ethereum. However, the concepts behind Blockchain are far more reaching than their support for cryptocurrency. Blockchain technologies now support any digital asset, from signal data to complex messaging, to the execution of business logic through code. Blockchain technologies are rapidly forming a new decentralized internet of transactions.
kubefwd helps to enable a seamless and efficient way to develop applications and services on a local workstation. Locally develop applications that intend to interact with other services in a Kubernetes cluster. kubefwd allows applications with connection strings like http://elasticsearch:9200/ or tcp://db:3306 to communicate into the remote cluster. kubefwd can be used to reduce or eliminate the need for local environment specific connection configurations.
FaaS or Function as a Service also known as Serverless computing implementations are gaining popularity. Discussed often are the cost savings and each implementations relationship to the physical and network architecture of a specific platform or vendor. While many of the cost and infrastructure advantages of FaaS are compelling, its only one of many advantages. Below, I hope to demonstrate how easy it is to develop and deploy FaaS components into a custom Kubernetes cluster. The functions I develop are nearly all business logic, and I believe therein lies the advantage, high-density business logic. Functions can have a higher degree of focus directly on business logic and communication with other services. Functions can communicate with other functions, microservices or monoliths. In this article, I demonstrate this with Elasticsearch.
This guide walks through a process for setting up Kibana within a namespace on a Kubernetes cluster. If you followed along with Production Grade Elasticsearch on Kubernetes then aside from personal or corporate preferences, little modifications are necessary for the configurations below.
Installing production ready, Elasticsearch 6.2 on Kubernetes requires a hand full of simple configurations. The following guide is a high-level overview of an installation process using Elastic’s recommendations for best practices. The Github project kubernetes-elasticsearch-cluster is used for the Elastic Docker container and built to operate Elasticsearch with nodes dedicated as Master, Data, and Client/Ingest.
RBAC (Role Based Access Control) allows our Kubernetes clusters to provide the development team better visibility and access into the development, staging and production environments than it has have ever had in the past. Developers using the command line tool kubectl, can explore the network topology of running microservices, tail live server logs, proxy local ports directly to services or even execute shells into running pods.
Using ingress-nginx on Kubernetes makes adding CORS headers painless. Kubernetes ingress-nginx uses annotations as a quick way to allow you to specify the automatic generation of an extensive list of common nginx configuration options.
Basic Auth is one of the oldest and easiest ways to secure a web page or API endpoint. Basic Auth does not have many features and lacks the sophistication of more modern access controls (see Ingress Nginx Auth Examples). However, Basic Auth is supported by nearly every major web client, library, and utility. Basic Auth is secure, stable and perfect for quick security on Kubernetes projects. Basic Auth can easily we swapped out later as requirements demand or provide a foundation for implementations such as OAuth 2 and JWT.
txToken is a small high performance microservice utility container. txToken is used for adding JSON Web Token based security to existing or new API development. txToken is specifically for systems that communicate in JSON over HTTP. txToken is called from a client with a JSON post body and passes received JSON to a remote endpoint. JSON retrieved from a remote endpoint is used to create a JWT token with an HS256 symmetrically encrypted signature.
Use cert-manager to get port 443/https running with signed x509 certificates for Ingress on your Kubernetes Production Hobby Cluster. cert-manager is the successor to kube-lego and the preferred way to “automatically obtain browser-trusted certificates, without any human intervention.” using Let’s Encrypt.
Helm is the de facto package manager for Kubernetes. If you are looking to start using Helm or want to test its capabilities, I suggest you set up a Production Hobby Cluster. This article is a continuation of the Production Hobby Cluster configuration but should be entirely useful on its own.
Customize the Upstream Nameservers used by kube-dns by Pods when looking up external hostnames from within a Kubernetes cluster. I found that adding custom Upstream Nameservers to my kube-dns solved many issues encountered in in the past with external hostname resolution on individual Pods.
There are more than a handful of ways to set up port 80 and 443 web ingress on a custom Kubernetes cluster. Specifically a bare metal cluster. If you are looking to experiment or learn on a non-production cluster, but something more true to production than minikube, I suggest you check out my previous article Production Hobby Cluster, a step-by-step guide for setting up a custom production capable Kubernetes cluster.
When setting up nginx ingress on Kubernetes for a private Docker Registry, I ran into an error when trying to push an image to it.
I use Minikube to run a local Kubernetes single node cluster (cluster?). However, I also work with a custom production cluster for work. This cluster consists of development and production nodes. I often need to switch between working on my local Minikube and the online Kubernetes cluster.
The following is a collection of articles, videos, and notes on Microservices. The Microservices architecture is a variant of the service-oriented architecture (SOA), a collection of loosely coupled services.