Software Alternatives, Accelerators & Startups
Register | Login

Packer VS StackStorm

Compare Packer VS StackStorm and see what are their differences

Synced
Scheduling infrastructure for modern teams. AI-powered calendar intelligence that works across companies, integrates with your tools, and lets AI agents schedule on your behalf. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Packer logo Packer

Packer is an open-source software for creating identical machine images from a single source configuration.

StackStorm logo StackStorm

StackStorm is a powerful open-source automation platform that wires together all of your apps...
  • Packer Landing page
    Landing page //
    2023-09-15
  • StackStorm Landing page
    Landing page //
    2023-07-27

Packer features and specs

  • Multi-Provider Support
    Packer supports a wide variety of providers such as AWS, Azure, Google Cloud, VMware, and more. This allows for flexibility and the ability to create machine images across different environments.
  • Automation
    Packer automates the creation of machine images, eliminating the need for manual image configuration and reducing the potential for human error.
  • Script Reusability
    Packer allows for the reuse of scripts and configuration files, enabling a consistent and repeatable process for image creation.
  • Parallel Builds
    Packer can build multiple images in parallel, which can significantly speed up the provisioning process.
  • Idempotency
    Packer ensures that the output machine image is always an identical result given the same input configuration, reducing the risk of inconsistencies.

Possible disadvantages of Packer

  • Steep Learning Curve
    The variety of features and flexibility that Packer offers can make it complex and challenging to learn, especially for beginners.
  • Limited Debugging Tools
    Packer's debugging tools are not as mature or as integrated as those found in some other DevOps tools, making troubleshooting more difficult.
  • Configuration Complexity
    Complex configurations with multiple builders and provisioners can become hard to manage and maintain, leading to potential errors.
  • No State Management
    Unlike Terraform, Packer does not manage state, which means users need to handle state management separately if required.
  • Dependency on External Tools
    Packer often relies on external scripts and tools for provisioning, which can introduce additional dependencies and complexities.

StackStorm features and specs

  • Open Source
    StackStorm is an open-source automation platform, which means it is cost-effective as there are no licensing fees. Users can contribute to its development and customization.
  • Event-Driven Automation
    It supports event-driven automation, allowing users to automate complex workflows that can be triggered by events from numerous sources.
  • Flexible and Extensible
    StackStorm provides a high level of flexibility and extensibility through integrations and customizable actions, allowing it to fit various automation needs.
  • Active Community
    There is an active community supporting StackStorm, which can be beneficial for troubleshooting, sharing best practices, and seeking advice from other users.
  • Self-Service Automation
    With its GUI and command-line tools, StackStorm enables self-service automation, empowering users to initiate and manage automation tasks without deep technical expertise.

Possible disadvantages of StackStorm

  • Complex Setup
    The initial setup and configuration of StackStorm can be complex and time-consuming, requiring a good understanding of the system and its dependencies.
  • Steeper Learning Curve
    Users may experience a steep learning curve due to the wide range of features and the requirement for understanding underlying technologies like Python and YAML.
  • Dependency Management
    Managing dependencies and ensuring compatibility between different integrations and components can be challenging and require continual maintenance.
  • Resource Intensive
    Running StackStorm can be resource-intensive, which might require additional infrastructure or cloud resources, especially for large-scale deployments.
  • Limited Support
    While there is a community for support, professional support options may be limited compared to proprietary solutions, which might be a concern for enterprises needing guaranteed, reliable support.

Analysis of Packer

Overall verdict

  • Packer is a valuable tool for organizations looking to streamline their image building process and maintain consistency across different environments. Its flexibility and wide range of features make it a strong asset in infrastructure automation and DevOps pipelines.

Why this product is good

  • Packer is considered a good tool because it automates the creation of machine images for multiple platforms from a single source configuration. This efficiency reduces errors and speeds up the deployment process. Packer is highly versatile and integrates well with various configuration management tools, broadening its applicability across different environments. It also supports multiple cloud providers, making it a great choice for multi-cloud strategies.

Recommended for

  • DevOps teams
  • Cloud infrastructure engineers
  • Organizations using multi-cloud strategies
  • Teams seeking automated and consistent image building processes
  • Developers looking to integrate infrastructure as code practices

Packer videos

No Packer videos yet. You could help us improve this page by suggesting one.

Add video

StackStorm videos

+ Add

StackStorm 101 (v0.12)

More videos:

  • Review - Recovery from OpenStack Failures using Nagios and StackStorm

Category Popularity

0-100% (relative to Packer and StackStorm)

Packer

StackStorm

DevOps Tools
100 100%
DevOps Tools
0% 0
Automation
0 0%
Automation
100% 100
Continuous Integration And Delivery
100 100%
Continuous Integration And Delivery
0% 0
Workflow Automation
0 0%
Workflow Automation
100% 100

User comments

Share your experience with using Packer and StackStorm. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Packer and StackStorm

Packer Reviews

Introduction to Top Open Source Virtualization Tools
Packer is notably light, high performing, and operates on every major operating system. It assembles and configures all the necessary components for a virtual machine then creates images that run on multiple platforms. Packer doesnโ€™t replace configuration management tools like Puppet or Chef; as a matter of fact, when creating images, Packer can utilize tools like Puppet or...
Source: www.getfilecloud.com

StackStorm Reviews

We have no reviews of StackStorm yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Packer seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Packer mentions (9)

  • Failed to connect to the host via SSH on Ubuntu 22.04
    If you have just upgraded to Ubuntu 22.04, and you suddenly experience either errors when trying to ssh into hosts, or when running ansible or again when running the ansible provisioner building a packer image, this is probably going to be useful for you. - Source: dev.to / almost 4 years ago
  • Create a minimalist OS using Docker Containers and Hashicorp Packer
    I am already using Hashicorp Packer at work and for personal projects and I wanted to test This idea out by wrapping it a single Packer Template file. This reduces the level of maintaining a lot of small scripts, Dockerfiles and configurations and the user can simply trigger a couple of Commands to get a minimalist OS at the end of the process. - Source: dev.to / almost 4 years ago
  • After self-hosting my email for twenty-three years I have thrown in the towel. The oligopoly has won.
    And while it is a slight increase in complexity, it can be an overall net gain in functionality, configurability and reliability. Much like Packer is far more reliable and practical than manually making VM images sitting in front of a terminal, even though making the initial configuration takes some time. Source: almost 4 years ago
  • Customized Ubuntu Images using Packer + QEMU + Cloud-Init & UEFI bootloading
    Hashicorp Packer provides a nice wrapper / abstraction over the QEMU in order to boot the image and use it to set it up on first-boot. Instead of writing really long commands in order to boot up the image using QEMU, Packer provided a nice Configuration Template in a more Readable fashion. - Source: dev.to / almost 4 years ago
  • The journey of sharing a wired USB printer over the network
    Packer seemed like the perfect tool for the job. I have never used it before and wanted to get familiar with the tool. It doesn't come with ARM support out of the box, but there are two community projects to fill that niche. - Source: dev.to / over 4 years ago
View more

StackStorm mentions (0)

We have not tracked any mentions of StackStorm yet. Tracking of StackStorm recommendations started around Mar 2021.

What are some alternatives?

When comparing Packer and StackStorm, you can also consider the following products

Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.

RunDeck - RunDeck is an open source automation service with a web console, command line tools and a WebAPI.

Rancher - Open Source Platform for Running a Private Container Service

Alloy Automation - Launch SaaS integrations faster

Loading...