AWS CodePipeline is a fully managed continuous delivery service that helps users automate release pipelines for fast, reliable application and infrastructure updates. CodePipeline automates the build, test, and deploy phases of the release process every time there is a code change, based on the release model a user defines. This is to enable rapid, reliable delivery of features and updates. Users can integrate AWS CodePipeline with third-party services such as GitHub or with a custom plugin. AWS…
$1
per active pipeline/per month
Puppet Enterprise
Score 8.6 out of 10
N/A
Puppet Enteprise is an IT automation and configuration management solution that enables users to manage and automate infrastructure and complex workflows. The vendor states Puppet Enterprise combines both model‑based and task-based capabilities in a way that enables organizations to scale their multi-cloud infrastructure as their automation footprint grows, with more flexibility from both agent-based and agentless capabilities.
I think AWS CodePipeline is a great tool for anyone wanted automated deployments in a multi-server/container AWS environment. AWS also offers services like Elastic Beanstalk that provide a more managed hosting & deployment experience. CodePipeline is a good middle ground with solid, built-in automation with enough customizability to not lock people into one deployment or architecture philosophy.
Puppet is good enough to get the job done, you can use it to automate deployments and maintain files and configurations, if this is all you're looking for it's great. If you're looking for more control over your systems as a whole without having to write your own scripts or install multiple configuration management systems then Puppet is not what you're looking for.
The setup of Puppet is a nightmare compared to ansible. Anyone watching a youtube video can easily set up ansible with minimal IT knowledge. All one needs is the source IP addresses and we are good to go. Setting up Puppet is a more hands-on task and pushing the puppet agents to all the boxes is another issue. If the installation and setup were simplified like ansible that would attract a lot of people to this platform
The syntax of the code for Puppet is not as easy as ansible. Ansible simply follows a YAML format and it's like typing in normal English. Even complicated tasks can be written by just understanding YAML syntax. Perhaps Puppet needs to revisit the lanugage used and try to come up with a much simpler lanugage for writing code. This will make day-to-day usage easier.
Overall, I give AWS Codepipeline a 9 because it gets the job done and I can't complain much about the web interface as much of the action is taking place behind the scenes on the terminal locally or via Amazon's infrastructure anyway. It would be nicer to have a better flowing and visualizable web interface, however.
Our pipeline takes about 30 minutes to run through. Although this time depends on the applications you are using on either end, I feel that it is a reasonable time to make upgrades and updates to our system as it is not an every day push.
We didn't need a lot of support with AWS CodePipeline as it was pretty straightforward to configure and use, but where we ran into problems, the AWS community was able to help. AWS support agents were also helpful in resolving some of the minor issues we encountered, which we could not find a solution elsewhere.
Puppet has top class support. You can simply mail them with their query and they will respond to your query in a timely manner. We do have enterprise license for puppet. Also there is a vibrant community for puppet out there. So even if you dont purchase a premium support option you can simply google your queries and get answers
CodeCommit and CodeDeploy can be used with CodePipeline so it’s not really fair to stack them against each other as they can be quite the compliment. The same goes for Beanstalk, which is often used as a deployment target in relation to CodePipeline.
CodePipeline fulfills the CI/CD duty, where the other services do not focus on that specific function. They are supplements, not replacements. CodePipeline will detect the updated code and handle deploying it to the actual instance via Beanstalk.
Jenkins is open source and not a native AWS service, that is its primary differentiator. Jenkins can also be used as a supplement to CodePipeline.
HPSA is a licensed product and incurs significant upfront investment costs due to COTS licensing. Puppet Data Center Automation has a significantly lower upfront investment and product documentation is more readily available. Chef is a very similar offering, however, at the time our decision was considered, the adoption of Chef vs. Puppet was significantly less in the community.
CodePipeline has reduced ongoing devops costs for my clients, especially around deployment & testing.
CodePipeline has sped up development workflow by making the deployment process automated off git pushes. Deployment takes very little coordination as the system will just trigger based on what is the latest commit in a branch.
CodePipeline offered a lot of out-of-the-box functionality that was much simpler to setup than a dedicated CI server. It allowed the deployment process to built and put into production with much less and effort and cost compared to rolling the functionality manually.
