CA Technologies is the leader in business automation. Customers rely on Automic Continuous Delivery Automation (formerly CA Continuous Delivery Automation) to drive continuous delivery across the enterprise for their cloud-native apps, core packaged apps, classic middleware apps and legacy mainframe apps. Automic Continuous Delivery Automation empowers digital transformation giving businesses the agility, speed and reliability required to stay competitive in the digital age. Partner with CA Technologies to provide consistent, repeatable and auditable deployments across all of your continuous delivery pipelines.
Agile development methodologies applied pressure on delivery pipelines by introducing smaller, yet more frequent updates. Then came business demand for faster and more frequent releases into production due to competitive pressures and market disruption.
Since Operations are both responsive to interruption and responsible for stability and compliance, they often can’t keep pace with developers. They can’t invite risk, no matter how small, into production environment.
Most application release automation vendors focus on providing continuous delivery capabilities. However, if the definition of continuous delivery is to make production updates available for production deployment, then continuous delivery stops at production’s door. Continuous deployment is the next step, where approved updates are not just made available for production deployments, they can be automatically deployed into production.
Production-proven release automation ensures predictability and compliance for deployments of both production and lower environments. Automic Continuous Delivery Automation enables both continuous delivery and continuous deployment.
Customers using Automic Continuous Delivery Automation no longer need to maintain custom scripts for deployment, configuration and provisioning. CA Technologies customers move beyond islands of automation and separate practices for PROD and non-PROD. CA customers become agile enterprises that scale from mainframe to microservices.