Azure Pipelines vs. HashiCorp Packer

With a fully Microsoft Azure based workflow - Azure Pipelines makes absolute sense. Azure Pipelines are robust and work very well with SonarQube for test coverage and are shared with our developers. This prevents the developers for pushing code without unit tests across our backend and frontend platforms. We have reduced our instances of manual regression tests especially when there are multiple teams working across the same repositories.

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

• Code Integration/Code Deployment
• Azure Engine Auto Scaling Up with help of Pipeline
• Managing Version Control and deploy in rollback with just one click

Incentivized

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

Incentivized

• Error messaging when team members don't have permissions

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

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

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

We have used the GitHub CI/CD. Earlier we were using the Azure Pipelines but after GitHub had their actions, we integrated that for CI/CD. It runs the tests and makes a production build which can be live. GitHub CI/CD is more useful because we have to make script only once then just by few changes we can deploy it onto Azure, AWS, Google anywhere so we found it more convenient

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

• We don't have to deploy changes manually
• But because of this that we automated some tasks, we need to be still aware of some edge cases we can meet and which can cause a pipelines failures
• We can deploy changes pretty fast

Incentivized

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

Incentivized