Shipping fast shouldn’t mean stitching tools and writing glue code. With CodeNOW, you can take cloud based continuous integration and continuous delivery from commit to production on autopilot—standardized pipelines, self-service environments, and built-in governance for every team.
In brief: Cloud-based CI/CD automates build, test and deployment so you can ship reliably and often. Industry guidance defines CI/CD as the practice of integrating code frequently and delivering or deploying changes through automated pipelines with minimal manual steps.
In brief: CodeNOW standardizes your “golden” CI/CD and release automation flows per repo. Commits trigger pipelines, create versioned releases, and—where permitted—auto-deploy to the right environment with the correct configuration and service bindings.
.codenow.yaml, with preview vs release flows..codenow.triggers.yaml (e.g., main → release build → auto-deploy).codenow/config/ and .codenow.config.yaml for resources and connected services.In brief: Instead of DIY toolchains, CodeNOW provides a unified developer platform: scaffolders, CI/CD, environments, and governance in one place—so cloud CD and application release automation become default behaviors, not side projects.
In brief: CI = frequent integration and automated tests; CD = automation that readies changes for production; release automation = orchestration of packaging, approvals and deployment steps across environments.
In brief: A devops toolchain assembled from many vendors is flexible but costly to maintain. A unified platform reduces glue code, standardizes controls, and shortens onboarding.
In brief: Map your pipeline controls to NIST’s Secure Software Development Framework (SSDF) and adopt SLSA provenance/attestations. CodeNOW centralizes steps and evidence so audits are repeatable.
In brief: Whether you’re “cloud CD” across providers or migrating between clouds, CodeNOW keeps pipelines and configs consistent.
In brief: Kubernetes and cloud-native adoption keep rising; DORA highlights platform engineering and developer experience’s growing impact.
In brief: Pilot with one service, then scale. Measure lead time, change failure rate, MTTR and onboarding time before/after to prove ROI.
Is this vendor-agnostic? Yes.
Can we use our own Dockerfile/Helm? Absolutely.
How does this reduce audit time? Release automation centralizes approvals, SBOM and logs; evidence is consistent across teams and releases.
Which metrics should we track? Lead time, MTTR, change failure rate, deployment frequency, onboarding time.
Ready to turn “cloud based continuous integration” into a push-button reality? See the platform or book a demo.