From AEM code
to platform architecture.

An AEM 6.5 LTS proof of concept should answer which customizations can move, which need refactoring and what remains unproven. This representative assessment separates Java and dependency compatibility from OSGi service behavior and production-readiness evidence.

Headless AEM is a choice of content contract, not simply a switch from HTML to JSON. This representative proof of concept compares Content Fragment GraphQL delivery with Sling Model Exporter and identifies what changes for frontend consumers, caching and editorial preview.

A repeatable development environment needs explicit inputs, not merely a Dockerfile. This representative approach versions supporting services and setup steps, separates configuration from image construction, and makes local AEM development assumptions visible.

Moving an AEM-adjacent service to containers changes how it starts, receives configuration and accepts traffic. This representative design focuses on complementary workloads in Azure and Kubernetes, without assuming that standard AEM product deployments run there.

An AEM pipeline is only useful if it can explain what was built, what was deployed and what was validated. This representative delivery design follows application packages and complementary container artifacts through explicit quality gates and environment checks.

AEM site search needs an explicit contract between published content, the search index and the user-facing filters. This representative integration separates relevance from exact filtering and makes content freshness and dependency failures visible in the design.

Responsive imagery connects editorial choices in AEM Assets to the bytes a browser downloads. This representative design aligns Dynamic Media transformations, component image requests and asset publication, while treating the asset delivery endpoint separately from the AEM page cache.

Cross-environment content movement needs a clear source of truth and a conflict policy. This representative synchronization design makes selection, write scope and retry behavior explicit, rather than treating one repository as a disposable copy of another.

Producing PDF and RTF from the same input requires more than changing a file extension. This representative Java tool design separates input mapping from format-specific rendering and makes document correctness testable without claiming an AEM Forms implementation.

An AEM caching strategy must explain both when a response can be reused and when it becomes stale. This representative design separates Dispatcher eligibility from CDN behavior, with explicit tests for query parameters, publication and user-specific content.

A maintainable AEM component should not own every integration decision it triggers. This representative architecture separates Sling presentation models from Java service contracts, with OSGi configuration and dependency behavior treated as part of the application design.

A slow AEM page can originate in delivery, application code, repository access or an external service. This representative diagnostic method follows a request across those boundaries, distinguishes evidence from assumptions and defines how to validate a proposed correction.

Reusable content begins with a model that survives more than one page layout. This representative AEM design separates domain content from presentation, defines reference and optional-field behavior, and treats model changes as changes to both editorial and consumer contracts.

Design a disposable review environment for each change to an AEM-adjacent Java API. This scenario follows the complete lifecycle from branch creation to namespace removal, treating isolation, test data and cleanup as engineering requirements.

Define a release pipeline for Java integration services around AEM, from Maven verification to Kubernetes promotion. The central decision is to promote the same tested image while recording configuration and deployment evidence separately.

Compare two release strategies for an API consumed by AEM: switch between validated blue/green environments or gradually expose a canary to selected traffic. Both require observable behavior and backward-compatible contracts, not simply a healthy container.

Design one deployable image with explicit environment inputs for AEM-adjacent services. This architecture separates ordinary configuration, sensitive credentials and runtime validation while connecting the same discipline to cloud-ready AEM service design.

Follow one integration request from AEM through a Kubernetes-hosted API to an external system. This scenario designs the evidence needed to distinguish application failures, dependency latency and deployment regressions across ownership boundaries.

Place the search API for an AEM experience behind a Kubernetes service boundary while treating Elasticsearch as a separately operated dependency. The focus is query isolation, indexing coordination and controlled scaling—not a claim of Elasticsearch cluster administration.

Explore a proof-of-concept architecture that connects governed AEM Content Fragments to retrieval and an enterprise assistant. Kubernetes supplies workload boundaries and rollout controls; the PoC must still establish permission safety, content freshness and answer quality.

Plan the modernization of a VM-hosted integration service toward Docker, a registry and Kubernetes in an Azure environment. This scenario makes hidden machine dependencies and persistent state explicit before attempting an automated cutover.