In this blog post, you will find a setup that deploy Docker swarm cluster to AWS.
Here is one idea how to automate AWS infrastructure to deploy it easily and safety, using a tool from HashiCorp. That tool is Terraform. Using Terraform helps to create the infrastructure you can change, and trace safely and efficiently.
Go to this link in GitHub for details of the setup.
The istruction how to install the tool you may find on the official page. I use a docker image by amontaigu to run Terraform as a Docker container. To run Terraform commands, I created a shell script you can find it in the repo.
That is it.
Terraform is managing infrastructure by the *.tf files. In README, It is provided all necessary information you may need to use the setup. I just describe the files, help you to build a picture how it works.
A small swarm cluster will be created during startup. One swarm manager + two swarm workers. The swarm is initiated during provisioning. All other swarm agents (workers) will connect to the manager by a token, generated during the swarm initialisation. The trick is we should do it automatically, but we don’t know the token before the initialisation. To send the token to the agents, I copy it to a file on the swarm-manager instance and do “scp” to the agent’s machines.
After all configuration files are ready, you can do check if there are no mistakes
This command will show up either syntax errors or list of resources will be created. After you can run
This command will build and run all resources in the *.tf files. If you run this command many times, Terraform will be destroying previous instances before creating new ones. That is it. Now you have fully functioned docker swarm cluster in AWS.
Using Terraform, you may also configure secure groups, VPC, networks, iam’s and so on. It is the power tool to automate infrastructures. The most important thing is tools like Terraform helps you keep configuration tracible, like this setup in GitHub. It gives you the ability to deploy your infrastructure repeatedly from any host.
I am an Atlassian certified trainer and over the years I have been spending much time with clients and their Jiras. In this blogpost, I have collected some small tips and tricks that will make your Jira usage better.
Jira Software is a powerful tool deployed in so many organizations, yet in day to day usage people are missing out on improvements, big and small.
In this post, I’ll take a closer look at the version of Jenkins X using Tekton, to give you an idea of how the general development, build, test, deploy flow looks like with Jenkins X. How does it feel to ship your code to production using a product coming from the Jenkins community that has very little Jenkins in it?
A crash course in Jenkins X and how to test it out on a local Kubernetes cluster
In this blog I will show you how to create snapshots of Persistent volumes in Kubernetes clusters and restore them again by only talking to the api server. This can be useful for either backups or when scaling stateful applications that need “startup data”.
Sneak peak at CSI Volume snapshotting Alpha feature
When I read Fowler’s new ‘Refactoring’ book I felt sure the example from the first chapter would make a good Code Kata. However, he didn’t include the code for the test cases. I can fix that!
Writing tests for ‘Theatrical Players’
Nicole Forsgren and the Accelerate DORA team has just released the newest iteration of the State of DevOps report. The report investigates what practices make us better at delivering valuable software to our users as measured by business outcomes. Read on for our analysis of the report, and how it can be best put to use.
The latest drivers of software delivery performance
A major challenge of software development is that our work is by and large invisible. This makes our folklore essential in business matters. Some of our commonly used arguments and visualizations are digital urban legends rather than solid foundations for informed decisions. Here, we’ll go through a few examples and some measures to address our misconceptions.
How the stories we tell influence our decisions
When you embark on your cloud native journey there will be important choices to make about cloud providers, continuous deployment, environments’ setup and separation. This guide will help you make the right choices by sharing lessons learnt from running cloud native apps in production.
Kubernetes has become the de facto container orchestration platform. When we help clients of different sizes and domains start their cloud native journeys in Kubernetes, we assist them in making sound decisions and technology choices. There is no one-size-fits-all solution when it comes to choosing cloud providers, CI tools, continuous deployment pipelines etc., so it is important to make the right decisions at the start. Failing to do so can be very costly in terms of lost time and money.
How to make the right technical choices on your cloud native journey
Learn how Docker and Kubernetes work and the key benefits they bring. Using real demos, I show how Docker is a great packaging and distribution technology, and how Kubernetes provides a powerful runtime for containerized applications.
Watch this introduction to Docker and Kubernetes at the Trondheim Developer Conference (TDC)
In the world of Agile and DevOps we use many figures, charts and diagrams to argue and reason about our world and how we prioritize and make choices. However, at all levels of the organization, we misuse and misinterpret figures. It’s time to be explicit, measure the right things and act on them. Watch this talk from DevOpsDays Zurich in May 2019.
Watch this talk from DevOpsDays Zurich
Summer is a great time to catch up on reading, whether you’re at the beach, in a summer house, or cozy at home. If your book backlog is on the short side, don’t worry! We compiled a list of great books for summer reading.
Inspiration for your summer reading list
Hear about upcoming events in Scandinavia, latest tech blogs, and training in the field of Continuous Delivery and DevOps