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Yes. Migration to AEMaaCS is one of our most common engagements. The engineer starts with the Best Practices Analyzer and the Cloud Acceleration Manager to assess your code and content readiness, then uses the Code Refactoring Tooling (the AIO CLI app) to restructure your project into the required separated mutable (apps) and immutable (content) package layout. They migrate content with the Content Transfer Tool and validate via the Content Migration step, refactor custom code that relied on the local file system or unsupported APIs, and replace the legacy dispatcher with the cloud-managed dispatcher and the SDK-based local validation. They understand the move from author-publish-dispatcher to the cloud topology with the Author, Publish, and Preview tiers. The PM confirms your current version so the upgrade path and effort are scoped accurately.

Yes. Cloud Manager is the only sanctioned deployment path for AEMaaCS, and our engineers configure it end to end. They set up full-stack, front-end, and config pipelines, wire them to your Git repository, and tune the build and quality gates the code quality scan (SonarQube-based rules), security testing, and performance testing so failing gates block bad code before production. They manage environment variables and secrets at the pipeline and environment level, configure non-production pipelines for feature branches, and set up the production pipeline with its mandatory staging stage and go-live approval. They also handle the cloud dispatcher configuration that ships through the pipeline and validate it locally with the dispatcher SDK first. The result is repeatable, gated deployments instead of manual package installs.

On AEMaaCS the dispatcher is managed but configured as code, and our engineers treat it that way. They author the dispatcher configuration in the project, validate it locally with the dispatcher SDK and the validator before any deployment, and tune cache rules, filters, and invalidation so the publish tier is protected and content stays fresh. They configure the Adobe-managed CDN cache-control headers, TTLs, push invalidation via the purge API, and rules through the cdn.yaml and traffic filter rules for WAF-style protection. They understand the difference between dispatcher caching and CDN caching and how surrogate keys and stale-while-revalidate keep performance high under load. The PM confirms your traffic profile so the caching strategy matches real demand.

A PM is assigned within 10 minutes of booking and scopes your requirement on the first call. For a clearly defined task a pipeline setup, a dispatcher fix, or a content transfer a vetted AEM Cloud Service engineer typically starts the same day. We offer three engagement models: project-based (a fixed migration or pipeline deliverable with milestones), dedicated (an engineer embedded with your team full-time for a migration program), and on-call burst capacity (hours drawn down as production issues arise). You can scale up or down between sprints and cancel after any engagement. The PM coordinates the engineer with your DevOps, Cloud Manager admins, and Adobe support so environment provisioning and entitlements are never a blocker.

Yes. AEMaaCS continuously updates the base image, so code must be cloud-native and upgrade-stable. Our engineers build against the AEM SDK and the released, supported APIs only no reliance on the local file system, no long-running startup jobs, and no use of deprecated or internal APIs flagged by the SDK. They follow the immutable/mutable repository split, externalise binaries to cloud storage and the asset microservices, and design custom code to survive rolling updates and instance recycling. They use the Developer Console for logs, the cloud-native logging and the OpenTelemetry-based observability, and structured logging so issues are traceable across ephemeral instances. This keeps your customisations working through every Adobe-pushed update instead of breaking on the next release. The PM confirms scope so the code stays cloud-ready.