The Continuous Delivery Tools solutions below are the most common alternatives that users and reviewers compare with Codegiant. Continuous Delivery Tools is a widely used technology, and many people are seeking easily administered, secure software solutions with automation. Other important factors to consider when researching alternatives to Codegiant include reliability and ease of use. The best overall Codegiant alternative is CircleCI. Other similar apps like Codegiant are CloudBees, Jenkins, GitHub, and GitLab. Codegiant alternatives can be found in Continuous Delivery Tools but may also be in Continuous Integration Tools or Version Control Hosting Software.
CircleCI gives you all the benefits of continuous integration with none of the headaches of maintaining it.
Enabling the world’s biggest and brightest companies to transition from incoherent, disconnected DevOps to self-service, fast, secure workflows connecting software delivery to business outcomes.
Jenkins is an application that monitors executions of repeated jobs, such as building a software project or jobs run by cron.
An open source web interface and source control platform based on Git.
LaunchDarkly's vision is to eliminate risk for developers and operations teams from the software development cycle. As companies transition to a world built on software, there is an increasing requirement to move quickly, balanced with the desire to maintain control. LaunchDarkly is the feature management platform to control the whole feature lifecycle from Concept → Launch → Value.
Red Hat Ansible Automation Platform is a simple way to automate apps and infrastructure. Application Deployment + Configuration Management + Continuous Delivery.
Automate your builds and deployments with Pipelines so you spend less time with the nuts and bolts and more time being creative
Copado DevOps weaves security best practices into agile planning, CI/CD and testing to help you safely accelerate software delivery.
Harness is the first Continuous Delivery-as-a-Service platform that uses Machine Learning to simplify the entire process of delivering code from artifact into production – quickly, safely, securely, and repeatably.