AWS CodeDeploy Reviews & Product Details

Easy to push new updates and forms to our templated pages Review collected by and hosted on G2.com.

Seems to only cooperate with AWS products Review collected by and hosted on G2.com.

This really is a tool for ops automation at the larger scales. Every resource is versioned and labels / notification of changes can be attached to AWS natively, or externally via hooks. There are some finer-grained controls for rolling deploys, and being able to programmatically enable deployment groups — this was a big deal for us, in planning to roll-out in high use environments. It was a lynchpin to doing staged CD via CodePipeline. Review collected by and hosted on G2.com.

This tool is rather dependent on CodePipeline and other AWS systems, so you're paying to integrate with it all, or using something else. As such, the docs and all related discussion about one gets confounded with the other. This is a pain when Onboarding new people. Since there is no strong UI (being a programmatic tool) visualizations of the overall system could be better — or you'll self-support. Many times, we are looking at other tools to best-see the state of the overall systems (like NewRelic or Ruxit, etc) Review collected by and hosted on G2.com.

I especially like the fact that CodeDeploy can be integrated with GitHub, so new code can be instantly and automatically deployed to our servers. appspec.yml (CodeDeploy's config file) also allows to hook your own scripts, making for a very flexible solution. Review collected by and hosted on G2.com.

The integration with ELB/autoscaling could be somewhat better; failed deploys can sometimes lead to a loop where EC2 instances keep on being started/stopped, and there's no way to avoid it saved for manual intervention.

On top of that, I'd love to be able to do automatical rollbacks. Review collected by and hosted on G2.com.

1- automatically deploy to new EC2 instances that are spun up by Autoscaling.

2- Minimize downtime.

3- launch and track the status of your deployments through the AWS CodeDeploy console or the AWS CLI.

4- platform-agnostic and works with any application. You can easily reuse your setup code. AWS CodeDeploy can also integrate with your software release process or continuous delivery toolchain. Review collected by and hosted on G2.com.

1- AWS CodeDeploy only supports deployments on EC2 instances at this time.

2- AWS CodeDeploy requires an agent to be installed on any EC2 instance that it will be deploying code to.

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It is so simple to start with that product both using windows and linux endpoints. I use as a last step of our continuous integration solution. It makes so easy to give feedback through the CLI. Review collected by and hosted on G2.com.

I am missing an option for partial deployments. There are different behaviours for shipping code to instances, but one scenario our team handles is the option of working with different versions of code simultaneously. To be able to test that scenario we tweak ec2 tags to deploy to some of the machines. However is a workaround tweaking codeDeploy behaviour. Review collected by and hosted on G2.com.

It makes all the deployment and continuous integration part quite easy to manage. Once the pull request to the GIT repository is made and merged, it automatically deploys the code to multiple server and performs different actions. Another good part is that you integrate with GIThub. Review collected by and hosted on G2.com.

Amazon services are not for free is the only drawback I could think of. Review collected by and hosted on G2.com.

You can launch and track the status of your deployments through the AWS CodeDeploy console or the AWS CLI. It gives report on every revision and the date when it was deployed. Very handy to keep track of all the updates in your application. You can even stop the deployments if you find any mistake on the go. Review collected by and hosted on G2.com.

It was a bit confusing and hard to start with. Had to read a lot about how to use it. A setup guide from the amazon would be nice. Review collected by and hosted on G2.com.

It is straightforward by itself, but also composes nicely with many other systems. It can be used to package up binaries, static assets, or scripts and then deploying them to a cluster of EC2 instances. I have even used it as the deploy mechanism for an internal PaaS to deploy scripts that then manage and run docker containers. Review collected by and hosted on G2.com.

It has relatively few options for timing deploying code through a cluster. The default is to deploy to each instance in serial. You can tell it to deploy all at once or some groups, but the options are limited. And there is no way to say "only deploy to X% of my instances" for testing a deployment. Review collected by and hosted on G2.com.

it is very simple to use. the code-deploy agent is installed on the instance, and deployments can occur automagically. also, the agent can be installed on non-aws servers, as long as they can connect to the codedeploy endpoint Review collected by and hosted on G2.com.

code-deploy is an "in-place" deployment mechanism, so it is at odds with the immutable infrastructure methodology Review collected by and hosted on G2.com.

Code deployment is one hectic job, sometimes even after the project is ready it takes few days to go live because of deployment issues. This problem is quite nicely tackled by this tool. Code deployments and automations are made quite easy. Review collected by and hosted on G2.com.

AWS has a lot of other services to provide but I find this particular one a little more expensive than what it should have been. Apart from this one might take some time to get used to it as flow isn't very intuitive to somebody who's new at code deployments. Review collected by and hosted on G2.com.