Infrastructure Solutions Architect at a real estate/law firm with 10,001+ employees
Real User
Oct 11, 2022
This has always been our choice for continuous product development. I'm using the latest version of the product. I would recommend the solution to others. It is one of the best options for continuous deployment. I'd rate it nine out of ten.
Senior Software Engineer | AWS Certified Solutions Architect at Venture Garden Group
Real User
Aug 8, 2022
Before deployment, I would advise getting the necessary processes ready before using the CI/CD flows provided by Octopus. In the course of setting up Octopus, you need to have a rollback script and scripts that handle the customization of Docker. Once these things are in place, it makes the setup faster. Depending on the load, we run a cluster multiple server deployment because as the number of engineers increases and the number of deployments increases, it can slow down the system. I would rate this solution a seven out of ten because it has served our use case very well.
Release Automation streamlines software deployment, enhancing efficiency by automating repetitive tasks and reducing human error. It facilitates faster release cycles and increases software reliability, crucial for businesses aiming for quick time-to-market.With growing demands for rapid software releases, Release Automation supports continuous integration and delivery, providing a seamless transition from development to production. It reduces bottlenecks by automating manual tasks, offering...
It's a deployment tool. It does one thing, and it does it well. I would rate it an eight out of ten.
This has always been our choice for continuous product development. I'm using the latest version of the product. I would recommend the solution to others. It is one of the best options for continuous deployment. I'd rate it nine out of ten.
Before deployment, I would advise getting the necessary processes ready before using the CI/CD flows provided by Octopus. In the course of setting up Octopus, you need to have a rollback script and scripts that handle the customization of Docker. Once these things are in place, it makes the setup faster. Depending on the load, we run a cluster multiple server deployment because as the number of engineers increases and the number of deployments increases, it can slow down the system. I would rate this solution a seven out of ten because it has served our use case very well.