# Migration to Drupal ## Legacy CMS to Drupal migration planning and execution ### Content model and taxonomy design, ETL pipelines, and validated cutover #### Modern Drupal foundations for scalable platform evolution Schedule a technical discovery Summarize this page with AI [](https://chat.openai.com/?q=Summarize%20this%20page%20for%20me%3A%20https%3A%2F%2Fwww.pathtoproject.com%2Fservices%2Fmigration-to-drupal "Summarize this page with ChatGPT")[](https://claude.ai/new?q=Summarize%20this%20page%20for%20me%3A%20https%3A%2F%2Fwww.pathtoproject.com%2Fservices%2Fmigration-to-drupal "Summarize this page with Claude")[](https://www.google.com/search?udm=50&q=Summarize%20this%20page%20for%20me%3A%20https%3A%2F%2Fwww.pathtoproject.com%2Fservices%2Fmigration-to-drupal "Summarize this page with Gemini")[](https://x.com/i/grok?text=Summarize%20this%20page%20for%20me%3A%20https%3A%2F%2Fwww.pathtoproject.com%2Fservices%2Fmigration-to-drupal "Summarize this page with Grok")[](https://www.perplexity.ai/search/new?q=Summarize%20this%20page%20for%20me%3A%20https%3A%2F%2Fwww.pathtoproject.com%2Fservices%2Fmigration-to-drupal "Summarize this page with Perplexity") Migration to Drupal services cover the engineering work required to move content, users, media, and platform behaviors from a legacy CMS to a modern Drupal architecture without losing data integrity, URL equity, or operational control. This includes Drupal 10/11 migration engineering and an upgrade-ready architecture approach so the platform can evolve after go-live. Organizations typically need this capability when existing platforms have accumulated inconsistent content structures, bespoke integrations, and undocumented editorial workflows. As the platform grows, manual migration approaches become high-risk: they introduce data drift, break references, and create long stabilization periods after launch. A structured migration establishes a target content model and taxonomy design, repeatable migration pipelines using Drupal’s Content Migration API, verification rules, and a cutover plan aligned with release management. This supports scalable platform architecture by making content and integrations explicit, testable, and maintainable, while enabling future evolution such as multi-site, headless delivery, or incremental replatforming. #### Core Focus ##### Legacy CMS assessment ##### Drupal target modeling ##### Automated migration pipelines ##### Cutover and rollback planning #### Best Fit For * Multi-year platform replacements * Complex content and media * High URL and SEO sensitivity * Regulated publishing workflows #### Key Outcomes * Validated content parity * Reduced migration rework * Predictable go-live windows * Lower post-launch defects #### Technology Ecosystem * Drupal 10 and 11 * Content Migration API * MySQL data extraction * Redis caching patterns #### Platform Integrations * REST API dependencies * GraphQL consumers * Identity and SSO alignment * Search and indexing feeds ![Migration to Drupal 1](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/service-migration-to-drupal--problem--fragmented-data-flows) ![Migration to Drupal 2](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/service-migration-to-drupal--problem--architectural-bottlenecks) ![Migration to Drupal 3](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/service-migration-to-drupal--problem--unstable-content-structures) ![Migration to Drupal 4](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/service-migration-to-drupal--problem--operational-delivery-tension) ![Migration to Drupal 5](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/service-migration-to-drupal--problem--governance-and-quality-gaps) ## Legacy CMS to Drupal Migration Risk Starts with Fragmented Content As digital platforms mature, content models tend to drift. Fields are added without governance, taxonomies are duplicated, and editorial workflows become embedded in templates or custom code. When a migration is initiated, teams often discover that the source system does not represent content consistently, and that critical relationships (references, translations, media usage, redirects) are implicit rather than modeled. These conditions create architectural and delivery bottlenecks. Engineering teams spend time reverse-engineering data meaning, building one-off scripts, and repeatedly re-running partial imports to fix edge cases. Without a repeatable pipeline and validation strategy, it becomes difficult to prove completeness, maintain URL parity, or ensure that downstream integrations continue to function. The result is a migration that is hard to test, hard to audit, and hard to operate. Operationally, this increases cutover risk. Late discovery of data quality issues forces scope changes, delays launch windows, and creates long stabilization periods where content teams cannot reliably publish. The platform may go live with broken references, missing media, inconsistent permissions, or incomplete redirect coverage, which then becomes ongoing technical debt. ## Drupal Migration Delivery Process ### Source System Discovery Inventory content types, fields, taxonomies, media stores, users, and workflows in the legacy CMS. Identify data ownership, quality issues, and hidden dependencies such as template-driven fields, embedded HTML patterns, and undocumented editorial conventions. ### Target Model Design Define Drupal content types, field schemas, taxonomies, paragraph/component patterns, and translation strategy. Establish mapping rules from source to target, including normalization decisions, reference modeling, and constraints required for long-term maintainability. ### Migration Architecture Design the extraction and import approach using Drupal’s Content Migration API, staging databases, and repeatable execution. Define idempotency, incremental runs, environment parity, and how to handle deltas, deletes, and content freezes during cutover. ### Pipeline Implementation Build migration modules, mapping plugins, and transformation logic for content, media, users, and relationships. Implement deterministic identifiers, reference resolution, and structured logging so runs can be debugged and repeated across environments. ### Integration Alignment Validate how migrated entities interact with REST/GraphQL consumers, search indexing, caching, and authentication. Update contracts where needed and ensure that integration behavior is testable before cutover, not discovered after launch. ### Verification and QA Define reconciliation checks for counts, field-level parity, URL coverage, redirects, and permissions. Execute test migrations, sample-based editorial review, and automated validation to confirm completeness and identify systematic mapping defects. ### Cutover Execution Plan the content freeze window, final delta import, DNS and routing changes, and rollback criteria. Produce operational runbooks and coordinate with stakeholders to execute a controlled go-live with measurable acceptance gates. ### Post-Go-Live Hardening Monitor logs, performance, cache behavior, and editorial workflows after launch. Address residual data issues, tune migration tooling for future runs, and document governance for ongoing content model evolution. ## Core Drupal 10/11 Migration Engineering Capabilities This service focuses on building a migration that is repeatable, testable, and aligned with Drupal’s long-term architecture. The emphasis is on explicit content modeling, deterministic mapping, and automated pipelines that can be executed across environments. Engineering work includes validation mechanisms for data completeness, URL parity, and integration behavior, so cutover becomes an operational procedure rather than an ad-hoc event. ![Feature: Target Content Modeling](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-migration-to-drupal--core-features--target-content-modeling) 1 ### Target Content Modeling Design Drupal content types, field schemas, taxonomies, and component patterns that represent the organization’s information architecture explicitly. The model is optimized for editorial workflows, reuse, and future evolution, while remaining compatible with migration constraints such as legacy field semantics and embedded content patterns. ![Feature: Deterministic Data Mapping](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-migration-to-drupal--core-features--deterministic-data-mapping) 2 ### Deterministic Data Mapping Implement mapping rules that convert legacy structures into Drupal entities with predictable identifiers and stable relationships. This includes normalization, reference resolution, translation handling, and controlled transformations (for example, HTML cleanup or media re-linking) with traceability back to source records. ![Feature: Automated Migration Pipelines](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-migration-to-drupal--core-features--automated-migration-pipelines) 3 ### Automated Migration Pipelines Build migration modules and execution workflows using the Drupal Content Migration API so imports are repeatable and environment-consistent. Pipelines support re-runs, incremental deltas, and structured logging, enabling teams to iterate safely as mappings evolve and defects are corrected. ![Feature: URL and Redirect Parity](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-migration-to-drupal--core-features--url-and-redirect-parity) 4 ### URL and Redirect Parity Preserve URL structures where feasible and implement a URL mapping and redirect strategy for Drupal migration where change is required. The approach includes mapping legacy paths, handling canonicalization rules, and validating coverage to reduce broken links and maintain continuity for search engines and external integrations. ![Feature: Media and Asset Handling](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-migration-to-drupal--core-features--media-and-asset-handling) 5 ### Media and Asset Handling Migrate files, images, and embedded assets with consistent storage conventions and reference integrity. This includes deduplication strategies, metadata preservation, and validation that media usage across content is correctly represented in Drupal, including responsive image and derivative considerations. ![Feature: Integration Contract Validation](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-migration-to-drupal--core-features--integration-contract-validation) 6 ### Integration Contract Validation Align migrated content with REST API and GraphQL consumers by validating schemas, payload expectations, and edge cases such as missing fields or unpublished states. Where integrations depend on legacy behaviors, define compatibility layers or controlled contract changes with testable acceptance criteria. ![Feature: Data Quality Verification](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-migration-to-drupal--core-features--data-quality-verification) 7 ### Data Quality Verification Implement reconciliation checks for entity counts, field-level parity, referential integrity, and permission correctness. Verification combines automated validation, sampling strategies for editorial review, and repeatable reports that support go/no-go decisions during cutover. ![Feature: Operational Cutover Controls](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-migration-to-drupal--core-features--operational-cutover-controls) 8 ### Operational Cutover Controls Define runbooks, rollback criteria, and execution sequencing for final delta imports and go-live. Controls include content freeze planning, environment readiness checks, and monitoring hooks so the migration is operated as a controlled release with measurable gates. Capabilities * Legacy CMS content inventory * Drupal content model and taxonomy design * Migration module development * Media and file migration * URL mapping and redirect implementation * Integration compatibility validation * Data reconciliation and reporting * Cutover planning and runbooks Target Audience * CTO * Digital platform teams * Content architects * Engineering managers * Platform architects * Product owners * Operations and SRE teams Technology Stack * Drupal 10 * Drupal 11 * Content Migration API * REST API * GraphQL * Docker * MySQL * Redis ## Delivery Model Delivery is structured around repeatable migration runs, measurable validation, and controlled cutover. Work is organized to reduce late discovery by making content structure, mapping rules, and integration behavior explicit early in the engagement. ![Delivery card for Discovery and Inventory](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-migration-to-drupal--delivery--discovery-and-inventory)\[01\] ### Discovery and Inventory Run workshops and technical discovery to inventory content, users, media, workflows, and integrations. Produce a source system map and identify data quality risks, ownership gaps, and constraints that affect target modeling and cutover planning. ![Delivery card for Target Architecture Definition](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-migration-to-drupal--delivery--target-architecture-definition)\[02\] ### Target Architecture Definition Define the Drupal content model, component strategy, and integration touchpoints. Establish migration principles such as idempotency, delta handling, and URL strategy so implementation decisions remain consistent across teams and environments. ![Delivery card for Pipeline Build-Out](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-migration-to-drupal--delivery--pipeline-build-out)\[03\] ### Pipeline Build-Out Implement migration code, mapping plugins, and transformation logic with structured logging. Set up repeatable execution in containerized environments and ensure migrations can be re-run safely as mappings and content evolve. ![Delivery card for Test Migrations](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-migration-to-drupal--delivery--test-migrations)\[04\] ### Test Migrations Execute iterative test runs against representative datasets and full extracts. Validate referential integrity, translations, media, and permissions, and refine mappings based on reconciliation reports and editorial feedback. ![Delivery card for Integration and Performance Checks](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-migration-to-drupal--delivery--integration-and-performance-checks)\[05\] ### Integration and Performance Checks Validate REST/GraphQL consumers, caching behavior, and search/indexing flows against migrated content. Address performance hotspots in import runs and ensure the target platform is operationally ready for production load and editorial usage. ![Delivery card for Cutover and Go-Live](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-migration-to-drupal--delivery--cutover-and-go-live)\[06\] ### Cutover and Go-Live Coordinate the content freeze, final delta import, redirect activation, and release steps. Use runbooks and acceptance gates to control risk, including rollback criteria and monitoring for early detection of issues. ![Delivery card for Post-Launch Stabilization](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-migration-to-drupal--delivery--post-launch-stabilization)\[07\] ### Post-Launch Stabilization Monitor logs, content integrity, and editorial workflows after launch and resolve residual defects. Document migration outcomes, hand over operational procedures, and define a backlog for ongoing platform evolution. ## Business Impact A structured Drupal migration reduces uncertainty by turning content movement into an engineered process with validation and operational controls. The impact is primarily realized through lower cutover risk, fewer post-launch defects, and a platform foundation that supports ongoing evolution without repeated replatforming effort. ### Reduced Cutover Risk Controlled cutover planning with runbooks, acceptance gates, and rollback criteria reduces the probability of unplanned downtime. Repeatable delta imports and validation reports make go-live decisions evidence-based rather than assumption-driven. ### Faster Stabilization After Launch Data reconciliation and integration validation reduce the volume of defects discovered in production. Teams spend less time on emergency fixes and more time on planned iteration once the platform is live. ### Improved Content Governance A defined target content model and taxonomy strategy makes content structure explicit and enforceable. This reduces long-term drift and lowers the cost of future enhancements, personalization initiatives, and multi-channel delivery. ### Lower Technical Debt from Migration Replacing ad-hoc scripts with maintainable migration modules and documented mappings prevents one-off tooling from becoming permanent operational burden. The migration codebase can be reused for future imports, acquisitions, or phased replatforming. ### Preserved URL Equity and Continuity URL parity and redirect coverage reduce broken links and maintain continuity for external references and search indexing. Validation of redirect rules and canonicalization reduces ongoing SEO remediation work. ### More Predictable Delivery Repeatable migration runs and measurable reconciliation reduce late-stage surprises. Engineering and content teams can plan around known milestones, with clear criteria for when the platform is ready for cutover. ### Integration Reliability Explicit validation of REST/GraphQL consumers and downstream systems reduces integration regressions. Contract alignment and testable edge cases prevent production incidents caused by missing fields, state changes, or legacy behavior assumptions. ## Related Services Adjacent Drupal capabilities that commonly extend migration work into platform architecture, integration, and ongoing evolution. [ ### Drupal Migration Drupal content migration engineering for data, content, and platform change Learn More ](/services/drupal-migration)[ ### AEM to Drupal Migration Services Content and integration migration with controlled cutover Learn More ](/services/aem-to-drupal-migration)[ ### Sitecore to Drupal Migration Services Content model mapping and automated migration pipelines Learn More ](/services/sitecore-to-drupal-migration)[ ### Drupal 7 Migration Secure, Structured Drupal 7 Website Upgrade to Drupal 11/12 Learn More ](/services/drupal-7-migration)[ ### Drupal Platform Modernization Enterprise Drupal upgrade strategy for upgradeable delivery Learn More ](/services/drupal-platform-modernization)[ ### Drupal Upgrade Drupal Major Version Upgrades: Drupal 8/9/10 to 11/12 Learn More ](/services/drupal-upgrade)[ ### Drupal Platform Audit Enterprise Drupal Technical Assessment & Drupal Health Check Learn More ](/services/drupal-platform-audit)[ ### Drupal Development Custom modules, extensions, and feature engineering Learn More ](/services/drupal-development)[ ### Drupal Legacy System Modernization Enterprise CMS modernization services for legacy Drupal estates Learn More ](/services/drupal-legacy-system-modernization) ## FAQ Common questions about Drupal migration scope, architecture decisions, operational execution, and engagement models. How do you design the target Drupal content model during a migration? We start by separating what the legacy system stores from what the organization actually needs to manage. Discovery focuses on content intent, reuse patterns, editorial workflows, and downstream consumers (site rendering, search, APIs, reporting). From there we define Drupal content types, fields, taxonomies, and component patterns (often paragraphs or structured components) with clear ownership and constraints. We then produce a mapping specification that ties each source record and field to a target entity and field, including transformations (normalization, HTML cleanup, media relinking), reference rules, and translation handling. The model is reviewed with content architects and engineering to ensure it supports long-term evolution: predictable entity boundaries, stable identifiers, and minimal coupling to templates. Finally, we validate the model through early test migrations on representative datasets. This quickly reveals hidden edge cases such as implicit relationships, inconsistent field usage, or legacy “special cases” that need explicit modeling in Drupal or a controlled deprecation plan. How do you handle migrations into Drupal 10 vs Drupal 11? The migration approach is largely the same because both versions share the same core migration concepts and APIs. The key architectural decision is to implement migration code as maintainable modules and configuration that align with modern Drupal practices: dependency injection, configuration management, and clear separation between mapping logic and environment-specific settings. For Drupal 10 targets, we ensure the architecture is upgrade-ready by avoiding deprecated APIs and by keeping contributed module dependencies minimal and well-audited. For Drupal 11 targets, we validate module compatibility early and design the build pipeline and local development environment accordingly. In both cases, we treat the migration as part of the platform architecture: content model, URL strategy, caching implications, and integration contracts are designed to survive upgrades. The goal is that the migration does not create a “one-time codebase” that blocks future version upgrades or forces a re-migration later. What does a typical cutover plan look like for a Drupal migration? A cutover plan defines how the organization moves from the legacy CMS to Drupal with controlled risk. It typically includes: a content freeze window (or a strategy for limited publishing), a final delta import plan, DNS/routing changes, redirect activation, and verification steps that must pass before the platform is considered live. Operationally, we define runbooks for each step, including who executes it, expected duration, and rollback criteria. We also define acceptance gates such as reconciliation thresholds (entity counts, key field parity), URL/redirect coverage checks, and smoke tests for critical user journeys and integrations. For complex platforms, we may recommend phased cutover (by site section, language, or domain) or parallel run periods where the legacy system remains available read-only. The goal is to make cutover an operational procedure with measurable checks rather than a single high-risk event. How do you ensure the migration is repeatable across environments? Repeatability comes from treating migrations as engineered pipelines rather than manual scripts. We implement migrations using Drupal’s Content Migration API with deterministic identifiers, idempotent behavior where possible, and structured logging. This allows the same migration to be executed in local, CI, staging, and production environments with consistent results. We also standardize execution via containerized tooling (for example Docker-based environments) and environment configuration management. Source extracts and staging databases are versioned or at least traceable so teams can reproduce a given run and compare outputs. Finally, we define verification reports that can be generated after each run: entity counts, missing references, field-level anomalies, and redirect coverage. These reports make it clear whether a run is acceptable and where mapping logic needs refinement, enabling iterative improvement without losing control of the process. How do you migrate content when other systems depend on REST or GraphQL APIs? We start by identifying all consumers of content and the contracts they rely on: endpoints, payload shapes, field expectations, filtering rules, and state behavior (published/unpublished, language fallbacks). During target modeling, we ensure the Drupal entity model can represent the required data without forcing consumers to infer meaning from legacy artifacts. For REST and GraphQL, we validate schemas and responses early using migrated sample datasets. Where the legacy platform exposed fields differently, we either implement compatibility layers (for example computed fields or view modes) or coordinate controlled contract changes with consumer teams. We also validate non-functional requirements: caching behavior, pagination, rate limits, and authorization. Integration testing is treated as part of migration acceptance, not a post-launch activity, because API regressions often stem from subtle data differences introduced during mapping and transformation. How do you handle search indexing and downstream feeds during migration? Search and downstream feeds are treated as first-class integration surfaces. We identify what systems consume content (search engines, internal search, syndication feeds, analytics pipelines) and what triggers indexing (webhooks, cron, queue workers, or external crawlers). During migration runs, we control indexing behavior to avoid unnecessary load and to prevent partial datasets from being indexed. Depending on the architecture, we may disable indexing during bulk imports and then run controlled reindex operations once reconciliation passes. We also validate that the migrated content supports the same discoverability semantics: canonical URLs, metadata fields, language variants, and structured relationships used for facets or related content. The goal is that search quality and feed correctness are validated as part of pre-cutover testing, not left to production tuning after launch. How do you prevent the new Drupal content model from drifting after migration? Model drift is usually a governance problem expressed as a technical symptom. We address it by defining explicit ownership for content types and taxonomies, documenting the intent of key fields, and establishing rules for when new fields or types can be introduced. On the technical side, we use configuration management to keep content model changes reviewable and deployable through the same pipeline as code. We also recommend patterns that reduce ad-hoc field creation, such as reusable components and well-scoped taxonomies. Operationally, we align editorial and engineering workflows: change requests are evaluated against reuse, reporting, and integration impacts. The migration becomes a baseline with clear rationale, making it easier for teams to evolve the platform without reintroducing the inconsistencies that made the legacy system hard to migrate. What documentation and handover artifacts do you provide? Handover focuses on making the migration and the resulting platform operable by internal teams. Typical artifacts include: the target content model documentation, mapping specifications, migration runbooks, and reconciliation/validation reports that define acceptance criteria. We also document how to execute migrations (commands, environment prerequisites, expected runtimes), how to interpret logs, and how to troubleshoot common failure modes such as missing references, malformed source data, or media import issues. If delta migrations are required post-launch, we document the operational procedure and constraints. For governance, we provide guidelines for evolving the content model safely, including how configuration changes are managed and reviewed. The goal is that teams can maintain and extend the platform without relying on undocumented migration knowledge or one-off scripts. What are the biggest risks in a legacy CMS to Drupal migration? The most common risks are data ambiguity, hidden dependencies, and late validation. Data ambiguity occurs when the legacy system stores meaning implicitly (for example, a field used differently across sections) or when relationships are embedded in markup rather than modeled. Hidden dependencies include integrations, editorial workflows, and URL rules that are not captured in documentation. Late validation is a delivery risk: if reconciliation and editorial review happen only near cutover, teams discover systemic mapping issues when there is little time to correct them. This often results in scope reduction, launch delays, or acceptance of known defects. We mitigate these risks by running early test migrations, producing measurable reconciliation reports, and making integration contracts explicit. We also recommend defining cutover gates and rollback criteria upfront so operational decisions are based on evidence rather than pressure near launch. How do you validate data completeness and correctness before go-live? Validation combines automated reconciliation with targeted human review. Automated checks typically include: entity counts by type, missing or null critical fields, referential integrity (broken entity references), translation completeness, media availability, and permission correctness. We also validate URL coverage and redirect rules, because broken paths are a frequent post-launch issue. We then run sampling-based editorial review on representative sections and edge cases. This is not a subjective “spot check”; it is guided by checklists tied to the content model and known risk areas such as embedded components, complex tables, or legacy shortcodes. Finally, we validate integration behavior using migrated datasets: API responses, search indexing, caching, and critical user journeys. Go-live readiness is defined by explicit acceptance thresholds and documented exceptions, so stakeholders understand what is complete, what is deferred, and what the operational plan is for any remaining deltas. How do you scope a Drupal migration when the legacy platform is poorly documented? When documentation is limited, scoping relies on structured discovery and sampling. We begin with a content and integration inventory: enumerate content types, volumes, languages, media stores, user roles, and external dependencies. We then select representative samples that cover the breadth of patterns in the legacy system, including known “special cases.” From this, we define a migration backlog: mapping rules, transformations, and risk items. We also define what is in scope for parity (what must match exactly) versus what can be improved or normalized during migration. This avoids accidental scope creep where teams try to redesign everything while also migrating. We typically propose phased milestones: first migrate a small but representative slice end-to-end, validate the approach, then scale to full migration. This creates reliable estimates based on observed complexity rather than assumptions derived from incomplete documentation. How does collaboration typically begin for a Migration to Drupal engagement? Collaboration usually begins with a short discovery phase focused on establishing facts and constraints. We start with stakeholder interviews (platform, content, operations) and a technical review of the legacy CMS, including content exports, database access where available, and an inventory of integrations and URL rules. We then produce a migration outline that includes: target platform assumptions (Drupal 10/11), a preliminary target content model direction, a mapping and pipeline approach, key risks, and a proposed validation strategy. This is paired with an initial cutover hypothesis (freeze window, delta strategy, rollback criteria) so operational planning starts early. Once the outline is agreed, we move into implementation with an iterative plan: build the pipeline, run test migrations, validate with reconciliation reports and editorial review, and refine until acceptance gates are met. This staged start reduces uncertainty while keeping the engagement aligned with delivery timelines and platform governance. ## Drupal Migration and Modernization Case Studies These case studies highlight successful Drupal migration and modernization efforts that align closely with the service's focus on structured migration, data integrity, and scalable platform evolution. They showcase practical implementations of Drupal upgrades, content consolidation, and integration validation, providing measurable proof of improved operational readiness and platform stability. \[01\] ### [Copernicus Marine ServiceCopernicus Marine Service Drupal DXP case study — Marine data portal modernization](/projects/copernicus-marine-service-environmental-science-marine-data "Copernicus Marine Service") [![Project: Copernicus Marine Service](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/project-copernicus--challenge--01)](/projects/copernicus-marine-service-environmental-science-marine-data "Copernicus Marine Service") [Learn More](/projects/copernicus-marine-service-environmental-science-marine-data "Learn More: Copernicus Marine Service") Industry: Environmental Science / Marine Data Business Need: The existing marine data portal relied on three unaligned WordPress installations and embedded PHP code, creating inefficiencies and risks in content management and usability. Challenges & Solution: * Migrated three legacy WordPress sites and a Drupal 7 site to a unified Drupal-based platform. - Replaced risky PHP fragments with configurable Drupal components. - Improved information architecture and user experience for data exploration. - Implemented integrations: Solr search, SSO (SAML), and enhanced analytics tracking. Outcome: The new Drupal DXP streamlined content operations and improved accessibility, offering scientists and businesses a more efficient gateway to marine data services. \[02\] ### [United Nations Convention to Combat Desertification (UNCCD)United Nations website migration to a unified Drupal DXP](/projects/unccd-united-nations-convention-to-combat-desertification "United Nations Convention to Combat Desertification (UNCCD)") [![Project: United Nations Convention to Combat Desertification (UNCCD)](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/project-unccd--challenge--01)](/projects/unccd-united-nations-convention-to-combat-desertification "United Nations Convention to Combat Desertification (UNCCD)") [Learn More](/projects/unccd-united-nations-convention-to-combat-desertification "Learn More: United Nations Convention to Combat Desertification (UNCCD)") Industry: International Organization / Environmental Policy Business Need: UNCCD operated four separate websites (two WordPress, two Drupal), leading to inconsistencies in design, content management, and user experience. A unified, scalable solution was needed to support a large-scale CMS migration project and improve efficiency and usability. Challenges & Solution: * Migrating all sites into a single, structured Drupal-based platform (government website Drupal DXP approach). - Implementing Storybook for a design system and consistency, reducing content development costs by 30–40%. - Managing input from 27 stakeholders while maintaining backend stability. - Integrating behavioral tracking, A/B testing, and optimizing performance for strong Google Lighthouse scores. - Converting Adobe InDesign assets into a fully functional web experience. Outcome: The modernization effort resulted in a cohesive, user-friendly, and scalable website, improving content management efficiency and long-term digital sustainability. \[03\] ### [VeoliaEnterprise Drupal Multisite Modernization (Acquia Site Factory, 200+ Sites)](/projects/veolia-environmental-services-sustainability "Veolia") [![Project: Veolia](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/project-veolia--challenge--01)](/projects/veolia-environmental-services-sustainability "Veolia") [Learn More](/projects/veolia-environmental-services-sustainability "Learn More: Veolia") Industry: Environmental Services / Sustainability Business Need: With Drupal 7 reaching end-of-life, Veolia needed a Drupal 7 to Drupal 10 enterprise migration for its Acquia Site Factory multisite platform—preserving region-specific content and multilingual capabilities across more than 200 sites. Challenges & Solution: * Supported Acquia Site Factory multisite architecture at enterprise scale (200+ sites). - Ported the installation profile from Drupal 7 to Drupal 10 while ensuring platform stability. - Delivered advanced configuration management strategy for safe incremental rollout across released sites. - Improved page loading speed by refactoring data fetching and caching strategies. Outcome: The platform was modernized into a stable, scalable multisite foundation with improved performance, maintainability, and long-term upgrade readiness. ## Testimonials It was my pleasure working with Oleksiy (PathToProject) on a new Drupal website. He is a true full-stack developer—the ideal mix of DevOps expertise, deep front-end knowledge, and the structured thinking of a senior back-end developer. He is well-organized and never lets anything slip. Oleksiy understands what needs to be done before being asked and can manage a project independently with minimal involvement from clients, product managers, or business analysts. One of the best consultants I’ve worked with so far. ![Photo: Andrei Melis](https://res.cloudinary.com/dywr7uhyq/image/upload/w_100,f_avif,q_auto:good/v1/testimonial-andrei-melis) #### Andrei Melis ##### Technical Lead at Eau de Web Oleksiy (PathToProject) and I worked together on a Digital Transformation project for Bayer LATAM Radiología. Oly was the Drupal developer, and I was the business lead. His professionalism, technical expertise, and ability to deliver functional improvements were some of the key attributes he brought to the project. I also want to highlight his collaboration and flexibility—throughout the entire journey, Oleksiy exceeded my expectations. It’s great when you can partner with vendors you trust, and who go the extra mile. ![Photo: Axel Gleizerman Copello](https://res.cloudinary.com/dywr7uhyq/image/upload/w_100,f_avif,q_auto:good/v1/testimonial-axel-gleizerman-copello) #### Axel Gleizerman Copello ##### Building in the MedTech Space | Antler Oleksiy (PathToProject) is demanding and responsive. Comfortable with an Agile approach and strong technical skills, I appreciate the way he challenges stories and features to clarify specifications before and during sprints. ![Photo: Olivier Ritlewski](https://res.cloudinary.com/dywr7uhyq/image/upload/w_100,f_avif,q_auto:good/v1/testimonial-olivier-ritlewski) #### Olivier Ritlewski ##### Ingénieur Logiciel chez EPAM Systems ## Further reading on Drupal migration planning These articles expand on the planning, dependency mapping, and content-model decisions that make a Drupal migration successful. They are useful for teams evaluating how to move legacy content and integrations into Drupal with less risk and better long-term operability. [ ![Drupal 11 Migration Planning for Enterprise Teams](https://res.cloudinary.com/dywr7uhyq/image/upload/c_fill,w_1440,h_1080,g_auto/f_auto/q_auto/v1/blog-20260304-drupal-11-migration-planning-for-enterprise-teams--cover?_a=BAVMn6ID0) ### Drupal 11 Migration Planning for Enterprise Teams Mar 4, 2026 ](/blog/20260304-drupal-11-migration-planning-for-enterprise-teams) [ ![AEM to Drupal Migration: The Dependency Mapping Work Most Teams Underestimate](https://res.cloudinary.com/dywr7uhyq/image/upload/c_fill,w_1440,h_1080,g_auto/f_auto/q_auto/v1/blog-20230914-aem-to-drupal-migration-dependency-mapping-before-cutover--cover?_a=BAVMn6ID0) ### AEM to Drupal Migration: The Dependency Mapping Work Most Teams Underestimate Sep 14, 2023 ](/blog/20230914-aem-to-drupal-migration-dependency-mapping-before-cutover) [ ![How to Audit Enterprise Content Models Before a CMS Migration](https://res.cloudinary.com/dywr7uhyq/image/upload/c_fill,w_1440,h_1080,g_auto/f_auto/q_auto/v1/blog-20250916-how-to-audit-enterprise-content-models-before-a-cms-migration--cover?_a=BAVMn6ID0) ### How to Audit Enterprise Content Models Before a CMS Migration Sep 16, 2025 ](/blog/20250916-how-to-audit-enterprise-content-models-before-a-cms-migration) [ ![Why Enterprise Search Breaks After a CMS Replatform and How to Prevent It](https://res.cloudinary.com/dywr7uhyq/image/upload/c_fill,w_1440,h_1080,g_auto/f_auto/q_auto/v1/blog-20210527-why-enterprise-search-breaks-after-a-cms-replatform--cover?_a=BAVMn6ID0) ### Why Enterprise Search Breaks After a CMS Replatform and How to Prevent It May 27, 2021 ](/blog/20210527-why-enterprise-search-breaks-after-a-cms-replatform) [ ![Drupal vs WordPress for Structured Content Platforms in 2026](https://res.cloudinary.com/dywr7uhyq/image/upload/c_fill,w_1440,h_1080,g_auto/f_auto/q_auto/v1/blog-20260327-drupal-vs-wordpress-for-structured-content-platforms-in-2026--cover?_a=BAVMn6ID0) ### Drupal vs WordPress for Structured Content Platforms in 2026 Mar 27, 2026 ](/blog/20260327-drupal-vs-wordpress-for-structured-content-platforms-in-2026) ## Plan a controlled Drupal migration Let’s review your legacy CMS constraints, define the target Drupal architecture, and establish a migration plan with validation gates and a cutover runbook. Schedule a technical discovery ![Oleksiy (Oly) Kalinichenko](https://res.cloudinary.com/dywr7uhyq/image/upload/c_fill,w_200,h_200,g_center,f_avif,q_auto:good/v1/contant--oly) ### Oleksiy (Oly) Kalinichenko #### CTO at PathToProject [](https://www.linkedin.com/in/oleksiy-kalinichenko/ "LinkedIn: Oleksiy (Oly) Kalinichenko") ### Do you want to start a project? Send