Bitnami vs Terraform

Overview

Bitnami

Stacks139

Followers221

Votes6

Terraform

Stacks22.9K

Followers14.7K

Votes344

GitHub Stars47.0K

Forks10.1K

Bitnami vs Terraform: What are the differences?

Deployment Method: Bitnami is more focused on providing pre-configured applications and software stacks that can be deployed quickly, whereas Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently.
Vendor Lock-in: Bitnami is tied to specific cloud providers and platforms, whereas Terraform is cloud-agnostic and allows for multi-cloud deployment and management.
Scope: Bitnami primarily focuses on application deployment and management, while Terraform is more comprehensive, allowing for infrastructure provisioning, configuration, and deployment.
Configuration Complexity: Bitnami simplifies the deployment process by providing pre-packaged solutions with minimal setup, while Terraform requires more setup and configuration but offers greater flexibility and control over the infrastructure.
Integration: Bitnami is often used in combination with existing cloud services or platforms for quick deployments, while Terraform is commonly used for more complex infrastructure setups and automation workflows.
Community Support: Bitnami has a strong community of users and developers, but Terraform is backed by HashiCorp with extensive documentation, support, and updates.

In Summary, the key differences between Bitnami and Terraform lie in deployment method, vendor lock-in, scope, configuration complexity, integration, and community support.

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Advice on Bitnami, Terraform

Sung Won

Nov 4, 2019

Decidedon

Google Cloud IoT Core

Terraform

Python

Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

2.26M views2.26M

Comments

Timothy

SRE

Mar 20, 2020

Decided

I personally am not a huge fan of vendor lock in for multiple reasons:

I've seen cost saving moves to the cloud end up costing a fortune and trapping companies due to over utilization of cloud specific features.
I've seen S3 failures nearly take down half the internet.
I've seen companies get stuck in the cloud because they aren't built cloud agnostic.

I choose to use terraform for my cloud provisioning for these reasons:

It's cloud agnostic so I can use it no matter where I am.
It isn't difficult to use and uses a relatively easy to read language.
It tests infrastructure before running it, and enables me to see and keep changes up to date.
It runs from the same CLI I do most of my CM work from.

385k views385k

Comments

Daniel

May 4, 2020

Decided

Because Pulumi uses real programming languages, you can actually write abstractions for your infrastructure code, which is incredibly empowering. You still 'describe' your desired state, but by having a programming language at your fingers, you can factor out patterns, and package it up for easier consumption.

426k views426k

Comments

Detailed Comparison

Bitnami	Terraform
Our library provides trusted virtual machines for every major development stack and open source server application, ready to run in your infrastructure.	With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.
BitNami Cloud Hosting lets you instantly run every BitNami package you already know and love and have it automatically configured, backed up and monitored.;Launch applications to the cloud with one click.;Choose from 50 popular open source applications, including SugarCRM, Alfresco, Drupal, WordPress, Redmine, JasperServer, Joomla! and many more.;By launching a server without adding any applications to it, you get a ready-to-run development environment that includes Apache, MySQL, Perl, PHP, Ruby, Python, Django, Memcached, Nginx, Subversion, Git, Sqlite, Tomcat and Java.;Run multiple applications on one server and save money by sharing the resources of a larger machine between applications.;Manage multiple Amazon Web Services accounts from one dashboard.;BitNami Cloud Hosting is powered by Amazon, the global leader in Cloud Computing.;Use BitNami Cloud Hosting to schedule weekly, daily or even hourly automatic backups. Backups are complete, incremental snapshots of your server.;Restore a complete, ready-to-run copy of your server, with all of your data and customizations, in one click.;Server scheduling enables you to specify times for your servers to automatically turn on and off.	Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used.;Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure.;Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure.;Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors
Statistics
GitHub Stars -	GitHub Stars 47.0K
GitHub Forks -	GitHub Forks 10.1K
Stacks 139	Stacks 22.9K
Followers 221	Followers 14.7K
Votes 6	Votes 344
Pros & Cons
Pros 6 Cloud Management	Pros 122 Infrastructure as code 73 Declarative syntax 45 Planning 28 Simple 24 Parallelism Cons 1 Doesn't have full support to GKE
Integrations
Amazon EC2 Google Compute Engine Google Kubernetes Engine Docker HP Cloud Compute VMware vSphere Microsoft Azure	Heroku Amazon EC2 CloudFlare DNSimple Microsoft Azure Consul Equinix Metal DigitalOcean OpenStack Google Compute Engine

What are some alternatives to Bitnami, Terraform?

Ansible

Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.

Chef

Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.

Capistrano

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

Fabric

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

AWS OpsWorks

Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

cPanel

It is an industry leading hosting platform with world-class support. It is globally empowering hosting providers through fully-automated point-and-click hosting platform by hosting-centric professionals

Webmin

It is a web-based interface for system administration for Unix. Using any modern web browser, you can setup user accounts, Apache, DNS, file sharing and much more. It removes the need to manually edit Unix configuration files.

Mina

Mina works really fast because it's a deploy Bash script generator. It generates an entire procedure as a Bash script and runs it remotely in the server. Compare this to the likes of Vlad or Capistrano, where each command is run separately on their own SSH sessions. Mina only creates one SSH session per deploy, minimizing the SSH connection overhead.

Related Comparisons

Bitnami vs Terraform: What are the differences?

Deployment Method: Bitnami is more focused on providing pre-configured applications and software stacks that can be deployed quickly, whereas Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently.
Vendor Lock-in: Bitnami is tied to specific cloud providers and platforms, whereas Terraform is cloud-agnostic and allows for multi-cloud deployment and management.
Scope: Bitnami primarily focuses on application deployment and management, while Terraform is more comprehensive, allowing for infrastructure provisioning, configuration, and deployment.
Configuration Complexity: Bitnami simplifies the deployment process by providing pre-packaged solutions with minimal setup, while Terraform requires more setup and configuration but offers greater flexibility and control over the infrastructure.
Integration: Bitnami is often used in combination with existing cloud services or platforms for quick deployments, while Terraform is commonly used for more complex infrastructure setups and automation workflows.
Community Support: Bitnami has a strong community of users and developers, but Terraform is backed by HashiCorp with extensive documentation, support, and updates.

In Summary, the key differences between Bitnami and Terraform lie in deployment method, vendor lock-in, scope, configuration complexity, integration, and community support.

Bitnami vs Terraform

Overview