DevOps

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Building and Running Custom AMIs on AWS Using Packer and Terraform

Introduction In this article we are going to talk about two open-source infrastructure-as-code tools that we use at Flugel. These tools are Packer, to build machine images for different platforms, and Terraform, to manage infrastructure resources.   By using the two in combination  it’s possible to create infrastructure-as-code solutions that automatically build and run custom…

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5 Ways to launch Kubernetes in 5 Minutes

This article describes 5 different ways to launch Kubernetes in 5 minutes. These steps are not intended for production usage; they are my own, personal notes on how to create clusters for use in testing and development. I use them when I want to launch K8s for quick, personal testing. I created this article in…

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Building Custom Kubernetes Operators Part 6: Building Operators using Metacontroller

Kubernetes operators were introduced as an implementation of the Infrastructure as software concept. Using them you can abstract the deployment of applications and services in a Kubernetes cluster. This is the sixth and last of a series of articles explaining how operators work and how they can be implemented in different languages.   Introduction In…

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Building Custom Kubernetes Operators Part 5: Building Operators in Python

Kubernetes operators were introduced as an implementation of the Infrastructure as software concept. Using them you can abstract the deployment of applications and services in a Kubernetes cluster. This is the fifth of a series of articles explaining how operators work and how they can be implemented in different programming languages.   Introduction In past…

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Building Custom Kubernetes Operators Article Part 4: Automatic testing using Operator SDK

Kubernetes operators were introduced as an implementation of the Infrastructure as Software concept. Using them you can abstract the deployment of applications and services in a Kubernetes cluster. This is the fourth in a series of articles explaining how operators work, and how they can be implemented in different languages. Introduction In the previous article…

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Building Custom Kubernetes Operators Part 3: Building Operators in Go using Operator SDK

Kubernetes operators were introduced as an implementation of the Infrastructure as Software concept. Using them you can abstract the deployment of applications and services in a Kubernetes cluster. This is the third in a series of articles explaining how operators work, and how they can be implemented in different languages. Introduction Previously in this series…

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Success story: From on premise to AWS in 1 hour

The problem: The client required migration of his microservices-based application to AWS, using containers.  The application was running on site, using legacy DevOps tooling, Xen VMs, Chef, and some scripting. So what, exactly, was the problem? Both security concerns and network limitations precluded this migration from being performed progressively. The only component permitted to exist…

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Success story: Automating 100 of applications on the corporate world

The Problem: The client, a  large company providing a wide variety of contact center solutions, must support a wide variety of product features. The ongoing product offerings required on-premise installation of a great number of moving parts. Such installation would involve a hundred applications and their dependencies, installed on four major operating system versions in…

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Failover is dead

When doing a quick Google search of the keywords “failover meaning”, you will find this definition: “a procedure by which a system automatically transfers control to a duplicate system when it detects a fault or failure.” The definition is perfect, but the concept is broken. Failover is broken. It was ostensibly a good idea years…

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Continuous Delivery Pipelines for Infrastructure Code

Pipelines are not for application code only. Continuous Delivery matters. In modern application and infrastructure management, programmers and sysadmins not only work purely in application code but also in terms of infrastructure code. The latter includes all the code that deploys the essentials needed to run your application: cloud resources (ie. instances, DBs), operating system…

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