Jobs as Code
Jobs as
Code
Code
Jobs as Code brings IT Ops and DevOps closer together. Instead of working in silos, both teams collaborate more effectively where Developers manage jobs like application code in the tools they already use every day, and IT Ops maintain the centralized oversight required for a secure, reliable hybrid IT environment.
What is Jobs as Code?
Jobs as Code (JaC) is a DevOps practice that makes automation workflows easier to version, test, and maintain. Instead of building jobs (or workflows) with an automation platform’s drag-and-drop designer, Developers can define them in a JSON or YAML file.
With this approach, automation jobs are managed just like application code — using the same tools and processes Developers already rely on:
- Stored in a source control management (SCM) system like GitHub where code can be versioned and tracked in a collaborative environment.
- Tested and validated in CI/CD pipelines before moving to production, ensuring workflows are versioned, peer-reviewed, and automatically deployed just like application code.
- Shared and reused across environments, ensuring consistency and reducing human error.
So Why Dacier?
Today’s hybrid IT environments span on-premises, cloud, containers, and SaaS platforms. Managing automation across these ecosystems with traditional tools is error-prone and slow. Jobs-as-code addresses these challenges by:
- Improving cross-team collaboration: IT Ops and DevOps work from a single source, ensuring consistency across environments.
- Increasing reliability: Jobs are defined, tested, and validated before deployment, reducing errors in production.
- Accelerating delivery: Updates can be built into DevOps workflows and CI/CD pipelines to speed release cycles.
- Supporting governance and compliance: A centralized orchestration platform provides audit trails, policies, and visibility across all job changes.
Dacier allows Developers to define, test, and deploy their automation rules during the software delivery lifecycle rather than bolting them on at the end. This structured approach to automation ultimately results in more efficient and reliable application delivery.