Codefresh vs. HashiCorp Packer

While deploying docker images on kubernetes pods I must say Codefresh helped me a lot. It has made my work easy as an Automation tool. I can setup a simple pipelines to automate my build for kubernetes. but for more complex pipelines Codefresh need some improvement

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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.

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• Continuous Integration and Continuous Development. we can setup jobs that automatically triggered when there is any changes in code and starts building up the build images automatically and then pushing images to Container Registry
• We can involve Version control system like github, bitbucket, gitlab etc for integration of Codefresh with our code stored in these Version control systems.
• On the failure of any jobs/pipeline Codefresh can also send Notification on our email.

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

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• With Codefresh it's become hard to handle complex pipelines
• Need to focus more on Documentation part
• UI can be more attractive
• Security can be more increased

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• Manageability
• Manageability
• Manageability

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

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

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I only once required support and it was very smooth.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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

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It's very scalable It is cost effective It easily get integrated with third party tools It easily get integrated with Kubernetes Docker.

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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

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Positive:
• As an Automation tools I must say it has reduced manual labour , reduced errors and improved quality of work.
• It easily get integrated with third party tools which increases ease ness in our work
• Negative:
• Although being a very good tools in CI/CD
• It requires improvement in UI, it's speed, security, optimization.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info