CircleCI vs. HashiCorp Packer

CircleCI is perfect for a CI/CD pipeline for an app using a standard build process. It'll take more work for a complex build process, but should still be up to the task unless you need a lot of integrations with other tools. If you have a big team and can spare someone to focus full time on just the CI/CD tools, maybe something like Jenkins is better, but if you're just looking to get your app built, tested, and delivered without a huge amount of effort, CircleCI is probably your preferred tool.

Incentivized

We use packer to generate new machine images for multiple platforms on every change to our Configuration Management tools like Chef/Puppet/Ansible It's act single tool for Image building for Multi-provider like AWS/Azure/GCP Helps to achieve Dev/Prod Parity Packer itself doesn't have a state like Terraform. You can't do packer output AMI ID. If you have a scenario where you want to maintain the state for images it would be tough to manage via Packer.

Incentivized

• Multiple builds can be run at the same time in parallel.
• The CircleCI web interface (UI/UX) is very easy to understand and use.
• Easy Configuration to learn and use. Just a single configuration YAML file.
• Many integrations. We use the GItHub, Slack, and DataDog integrations.

Incentivized

• Multi-provider portability
• Greater testability
• Super fast infrastructure deployment

Incentivized

• The "phases" their config file uses to separate out options seem very arbitrary and are not very helpful for organizing your config file
• No way that I know of to configure which version of MongoDB you use. You have to write your own shell script to download and start MongoDB if you want a specific version.
• Hard to access build artifacts in the UI

Incentivized

• Manageability
• Manageability
• Manageability

Incentivized

We are happy with the use of Packer in our organization. Apart from manageability, I don't find any other drawback with Packer.

Incentivized

CircleCI interface is awesome in that it is relatively modern and makes it clear exactly which parts of the engineering lifecycle you are in

Incentivized

It's best for building Image with many features and benefits.

Incentivized

It's pretty snappy, even with using workflows with multiple steps and different docker images. I've seen builds take a long time if it's really involved, but from what I can tell, it's still at least on par if not faster than other build tools.

Incentivized

Unless you have a reasonably large account, you're going to be mainly stuck reading their documentation. Which has improved somewhat over the years but is still extremely limited compared to a platform like Digital Ocean who invested in the documentation and a community to ensure it's kept up to date. If you can't find your answer there, you can be stuck.

Incentivized

I only once required support and it was very smooth.

Incentivized

I haven't found any issue in Implementation that itself describes how well this tool is built.

Incentivized

Circle was the first CI with simple setup, great documentation, and tight integration with GitHub. Using Jenkins was too much maintenance and overhead, TeamCity was limited in how we could customize it and run concurrent builds, TravisCI was not available for private repos when we switched.

Incentivized

There are lot of tools in market which does the job for Image creation but all of them are not complete Machine/Image as a code. All other alternatives can create Image partially. Main reason for selecting Packer are Packer is lightweight, portable, and command-line driven Packer helps keep development, staging, and production as similar as possible. Packer automates the creation of any type of machine image Multi-provider portability is the feature to die for

Incentivized

• It has eased the burden of standardizing our testing and deployment, making onboarding new developers much faster, and having to fix deployment mistakes much less often.
• It allows us to focus our process around the GitHub workflow, ignoring the details of whatever environment the thing we're working on is actually hosted in. This saves us time.

Incentivized

• Super fast infrastructure deployment
• Quick turnaround of infrastructure in multiple cloud using single tool.
• Increase productivity by reducing time in infrastructure building.

Incentivized