CI/CD workflow design
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Streamline application development and deployment with AWS DevOps and CI/CD solutions. Datanet Hosting helps businesses automate workflows, improve release processes and manage cloud infrastructure efficiently.
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AWS DevOps solutions can use CI/CD pipelines, infrastructure as code, automated testing, monitoring and container services to improve software delivery workflows.
Automate software build, test, release and infrastructure workflows using AWS DevOps services.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
A delivery platform should define source control, build reproducibility, test gates, artifact storage, deployment strategy, secrets and rollback procedures.
Automate software build, test, release and infrastructure workflows using AWS DevOps services.
Automate software build, test, release and infrastructure workflows using AWS DevOps services.
Automate software build, test, release and infrastructure workflows using AWS DevOps services.
Automate software build, test, release and infrastructure workflows using AWS DevOps services.
Automate software build, test, release and infrastructure workflows using AWS DevOps services.
Assess repositories, build tools, tests, environments, approvals and release requirements.
Configure source, build, test, artifact and deployment stages with appropriate permissions.
Test deployment strategies, environment promotion, notifications and rollback procedures.
DevOps combines development and operations practices to automate build, test, deployment and infrastructure management workflows.
A delivery platform should define source control, build reproducibility, test gates, artifact storage, deployment strategy, secrets and rollback procedures.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Automate software build, test, release and infrastructure workflows using AWS DevOps services.
DevOps scope depends on source control, build tools, deployment targets, environments, security requirements and release frequency. Third-party licences and AWS consumption are separate unless agreed.
Discuss your repositories, build process and deployment targets to plan an AWS CI/CD workflow.
Automate software build, test, release and infrastructure workflows using AWS DevOps services.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
Pipeline design is tailored to application architecture, team workflow, release frequency and deployment risk.
| Service feature | Starter | Business | Managed |
|---|---|---|---|
| Source and CI/CD workflow assessment | ✓ | ✓ | ✓ |
| CodeBuild and deployment pipeline setup | ✓ | ✓ | ✓ |
| Infrastructure as Code automation | — | ✓ | ✓ |
| Release strategies and rollback controls | — | ✓ | ✓ |
| Recurring pipeline and deployment support | — | — | ✓ |
DevOps scope depends on source control, build tools, deployment targets, environments, security requirements and release frequency. Third-party licences and AWS consumption are separate unless agreed.
Select regions for build, artifact and deployment resources based on target infrastructure, latency, data location and service availability.
AWS DevOps practices support automated application releases, container delivery, repeatable infrastructure provisioning and multi-environment deployments.
AWS DevOps practices support automated application releases, container delivery, repeatable infrastructure provisioning and multi-environment deployments.
AWS DevOps practices support automated application releases, container delivery, repeatable infrastructure provisioning and multi-environment deployments.
AWS DevOps practices support automated application releases, container delivery, repeatable infrastructure provisioning and multi-environment deployments.
| Project area | Datanet Hosting | Self-managed |
|---|---|---|
| Build and release workflow assessment | ✓ | Customer-led |
| Pipeline and artifact configuration | ✓ | Customer-led |
| Infrastructure as Code and deployment controls | ✓ | Self-configured |
| Pipeline monitoring and improvement | ✓ | Customer-managed |
AWS CodePipeline, CodeBuild, CodeDeploy, ECR, ECS, EKS and CloudFormation can support different parts of a delivery workflow.
Yes. Infrastructure as Code using services such as CloudFormation can make approved infrastructure changes repeatable and reviewable.
Pipelines can build and publish container images and deploy them to supported targets such as ECS or EKS.
The release design can include health checks, approval gates, deployment strategies and rollback procedures appropriate to the application.
A delivery platform should define source control, build reproducibility, test gates, artifact storage, deployment strategy, secrets and rollback procedures.
Define repository permissions, branching and change review practices.
Create repeatable build steps, automated tests and artifact versioning.
Use staged releases, environment approvals and health validation.
Protect deployment credentials and apply least-privilege pipeline roles.
Automate software build, test, release and infrastructure workflows using AWS DevOps services.
