Mongodb ansible terraform

In order to limit the problems of crash and data loss, it is also replicated with two other servers, ideally in a different geographical area to ensure high availability. This article describes the technical logic that we set up to achieve this. Among these instances, MongoDB will elect a master server, called primary in the MongoDB language as well as slave servers, called secondary. In order for these three servers to share the same data, we will need to create what MongoDB calls a replica seta data set.

What is important to note is that only the primary server will be able to read or write data. The secondary servers are there to take over in case the primary server is unavailable. This is possible thanks to an election that is launched automatically by MongoDB to elect a new primary server. The definition of a server primary or secondary is done through a majority election, which takes place between the servers. Thus, you will necessarily need to have at least three servers so that a majority can be constituted.

Terraform vs Ansible

It is therefore impossible to define this replication model with only two servers in your cluster. Terraform is therefore a tool for industrializing infrastructure tasks such as, in our case, the creation of EC2 machines on our AWS account. This instance will be in the area a of our AWS region, defined as an environment variable. The field you will be interested in is ImageIdwhich you must copy into your Terraform code.

We then specify the type of instance as well as the type of disk and sizing we want to use for our server. To provision the MongoDB server, we use an Ansible playbook. Here is the definition of the playbook:. The db-mongodb host corresponds to both the primary and secondary servers. We distinguish these servers because we need to define a primary server first when we provision the cluster. For the db-mongodb host we will therefore play a project.

Nothing very special so far. Note that the mongod. In order to enable replication, note that we need to specify in this configuration file, a set replica name here, rs0 :. It is also important to secure these exchanges, which is why we will create a key to authenticate the servers discussing with one another:.This is a cluster with a Master and three worker nodes running on the AWS cloud platform.

mongodb ansible terraform

If this is a production deployment with dedicated GitLab runners this can be changed and can be deployed to the private subnet. All the playbooks are stored in the repository itself. In the GitLab pipeline couple of automated and manual stages been used. Automated stages were created to build the cluster, install the dependencies and configure the Kubernetes cluster. Also, I used a manual job to destroy the cluster whenever needed, it was quite useful for my testing purposes and, also another job created to destroy the entire cluster if there was a failure in the pipeline to start from the beginning.

Few variables were stored in the GitLab variables to use as the environment variables when the job runs. Commit to a Master or anytother branch will run the pipeline but, in my pipeline Kubernetes Deployment only applies to the master branch and other branch commits only deploys the cluster. It was quite useful for me to work with the cluster deployment. Otherwise, manual pipeline can be performed. In the next step, branch can be specified and additional environment variable can be passed to the pipeline, run the pipeline to start the deployment.

I initialized the terraform configuration as below in my pipeline. Maintaining the remote state was useful to run my destruction jobs on failure or on demand manual triggers. To install the dependencies on the nodes I created this Ansible Playbook. Again this public subnet configuration can be changed if you are using the dedicated runners inside the VPC.

This is just the method, which I followed and there can be million ways of achieving similar setup. I personally use this cluster to provision my Kubernetes cluster on AWS. Email address :.

Terraform in 17 Minutes : Provision EC2 on AWS - Step by Step guide for beginners

Start Typing. Cloud January 18, Click to rate this post! Ansible GitLab kubernetes terraform. Leave a Reply Cancel reply. Cloud VMware.Elena Neroslavskaya. This is part 1 of a 2-part series demonstrating how to continuously build and deploy Azure infrastructure for the applications running on Azure.

The first article will show how open source tools, such as Terraform and Ansible, can be leveraged to implement Infrastructure as Code. The second article in the series will enhance the infrastructure deployment to build immutable infrastructure for the applications and adding Packer into the set of tools.

In part 1, we will walk though how to continually build and deploy a Java Spring Boot application and its required infrastructure and middleware using Visual Studio Team Services. We will apply software development practices to infrastructure build and configuration. To demonstrate Infrastructure as a Code principle we will use Terraform to codify and provision infrastructure, and Ansible to automate configuration and middleware.

Here is a picture of the flow:. In this example, we first build and package a Spring Boot application using Gradle.

mongodb ansible terraform

On the Triggers tab, enable continuous integration CI. This tells the system to queue a build whenever new code is committed. Save and Queue the build.

Terraform versions, plans and build infrastructure. Ansible automation provides agentless way of managing servers. All it requires is SSH connection and python installed.

For Ansible to be able to communicate to VMs it has to know server IPs, provided to it in the form of inventory file. Once Terraform completes provisioning, we will output servers IPs into a file which is used by Ansible. Here is the Release pipeline definition it could be imported from GitHub as well :. Shell Script — Terraform Init — point to Terraform init. Terraform must initialize Azure Resource provider and configured backend for keeping the state Azure storage in this example before the use.

Here is the snippet doing it from our Terraform template:. Here is a configuration example that uses Storage account we created as part of prerequisites:. Upon successful run it will have following output indication terraform has been initialized.

Terraform generates an execution plan describing what it will do to reach the desired state, and then executes it to build the described infrastructure. As the configuration changes, Terraform is able to determine what changed and create incremental execution plans that can be applied.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. No Problem. DevOps is all about People, Process and Tools.

You will learn the basics of Terraform and Ansible and implement Infrastructure as Code. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

Sign up. Java Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit. Latest commit c2e7 Apr 2, Do you need more reasons for enrolling for this amazing course on DevOps? Look No Further!Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead. I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.

mongodb ansible terraform

It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. As our Vagrant environment is now functional, it's time to break it! Sloppy environment setup? This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product. I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting.

This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers.

That's why we start with Vagrant as developer boxes should be as easy as vagrant upbut the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab ElasticsearchKibanaand Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically within some limits and horizontally.

If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkinsbut it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins like quality REST API which comes built-in with TeamCity.

It also comes with all the common-handy plugins like Slack or Apache Maven integration. The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1.

Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information.

This is your actual error. Terraform plan does not capture this error as local-exec commands are not evaluated by terraform plan. Do you have ansible installed on the machine where you are trying to run the above terraform? And if installed, is it on the path. Try installing ansible if its not installed already. Learn more. Terraform error when make's terraform apply command Ask Question.

Asked 2 years, 5 months ago. Active 2 years, 5 months ago. Viewed times.

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Learn how users of the HashiCorp stack can use Ansible to achieve their goals of an automated enterprise—through complimentary security, image management, post provisioning configuration, and integrated end to end automation solutions.

I'm based out of Austin, Texas. I'm out of this fair Bay Area of San Francisco. Sean: So today we're going to present to you our musings on the subject of how our tools work better together. So just kick back, enjoy the ride with us and hear us muttering amongst ourselves on how these work together. Dylan: And keep your hands up. How many of you are actually Ansible users as well? All right. A fair amount. Dylan: I'll apologize in advance.

I've got a boring slide coming, but we'll get past that one pretty quickly. Dylan: So, the first question. Well, we look at it this way, from Red Hat Ansible automation side, which really is the culmination of engine, tower, galaxy, Ansible vault, it's how do we take that tool set and take the community that comes from it and extend it out to the rest of the ecosystem.

So, occasionally you'll hear us mention Ansible as the glue of all that is automation, all that is the DevOps tool ecosystem that we all work with. Taking that step back, Ansible doesn't necessarily have to own and do every single task that it sets out to do.

So, being that glue or being the orchestrator, think of it as the composer of a nice symphonic piece, we can reach out and tell other tools and work with other tools to do the task that it's best suited for. So, we're not that big instrument that owns the whole piece. There are other instruments that can do the job better than us, or can actually do it in a sense that we wouldn't actually be able to tackle it with.

So that being said Sean: Today we'll be showing you how three different HashiCorp tools can benefit the Ansible user. First we'll take a look at how HashiCorp Vault—our secrets management product—and how it compares to Ansible Vault. Next we'll show you how Ansible can be combined with Terraform or Packer to enable powerful and efficient build pipelines. There are many products and projects that contain "vault" in their name.

When you think of a vault, you might think of a giant safe in a bank with a big door, and you can lock your secrets inside of the vault. HashiCorp Vault can certainly be used to store your secrets, but it can also generate new secrets or even encrypt your data on the fly. Think of a modern, multi-cloud distributed API-driven secrets management engine.

Dylan: And we have a lot of those same concepts as well with our Ansible Vault, but we want to expand on this by saying a couple of things. Sean: HashiCorp Vault comes in both open source and enterprise versions.

The Vault Cluster can store secrets or generate dynamic credentials. Multiple authentication methods are possible, so Vault is easy to integrate with the provisioning and config management tools, just like Ansible or Terraform.

Dylan: And when we talk about Ansible vault, it really is just a feature to us.