# Drupal Infrastructure Architecture ## Kubernetes Drupal infrastructure design for Drupal workloads ### Resilient networking, caching, and delivery layers #### Operational patterns for scalable multi-environment Drupal platforms Schedule an architecture review Summarize this page with AI [](https://chat.openai.com/?q=Summarize%20this%20page%20for%20me%3A%20https%3A%2F%2Fwww.pathtoproject.com%2Fservices%2Fdrupal-infrastructure-architecture "Summarize this page with ChatGPT")[](https://claude.ai/new?q=Summarize%20this%20page%20for%20me%3A%20https%3A%2F%2Fwww.pathtoproject.com%2Fservices%2Fdrupal-infrastructure-architecture "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%2Fdrupal-infrastructure-architecture "Summarize this page with Gemini")[](https://x.com/i/grok?text=Summarize%20this%20page%20for%20me%3A%20https%3A%2F%2Fwww.pathtoproject.com%2Fservices%2Fdrupal-infrastructure-architecture "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%2Fdrupal-infrastructure-architecture "Summarize this page with Perplexity") Drupal platforms often fail operationally for reasons unrelated to application code: inconsistent environments, fragile deployment paths, unclear scaling limits, and infrastructure that cannot be evolved safely. Drupal infrastructure architecture services define the cloud runtime, network boundaries, caching strategy, storage, and delivery topology required to run Drupal predictably across development, staging, and production. This capability focuses on designing infrastructure that aligns with Drupal’s runtime characteristics (PHP-FPM, database and cache dependencies, file/media handling, cron/queues) while meeting enterprise requirements for security, availability, and change control. It commonly includes Kubernetes platform design for Drupal operations and Drupal AWS network architecture so teams can reason about trust boundaries, traffic flow, and operational responsibilities. The output is an architecture that is explicit about failure modes, scaling triggers, and ownership. A well-defined infrastructure architecture enables repeatable provisioning, controlled rollouts, and measurable performance. It also reduces platform risk by making dependencies visible, standardizing environment parity, and establishing observability and runbooks that support long-term platform evolution without accumulating hidden operational debt. #### Core Focus ##### Cloud runtime topology ##### Network and security boundaries ##### Caching and edge delivery ##### Environment standardization #### Best Fit For * Multi-environment Drupal estates * High-traffic content platforms * Regulated enterprise environments * Teams adopting containers #### Key Outcomes * Predictable scaling behavior * Reduced deployment risk * Improved incident response * Clear operational ownership #### Technology Ecosystem * AWS primitives and IAM * Docker container runtime * Kubernetes orchestration * Redis caching layer #### Platform Integrations * CDN edge caching * Centralized logging and metrics * Secrets and key management * CI/CD deployment workflows ![Drupal Infrastructure Architecture 1](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--problem--fragmented-runtime) ![Drupal Infrastructure Architecture 2](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--problem--operational-bottlenecks) ![Drupal Infrastructure Architecture 3](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--problem--security-inconsistencies) ![Drupal Infrastructure Architecture 4](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--problem--governance-gaps) ## Unclear Runtime Boundaries Increase Platform Instability As Drupal platforms grow, infrastructure decisions are often made incrementally: a load balancer added for traffic spikes, a cache introduced to address latency, or a container platform adopted without a clear operating model. Over time, the runtime becomes a collection of coupled components with undocumented assumptions about state, persistence, and scaling. Environment parity erodes, and teams lose confidence that changes in one layer will not break another. These issues surface as architectural friction for engineering and operations teams. Drupal’s dependency graph (database, cache, file storage, cron/queues, search, CDN behavior) requires explicit boundaries and failure handling. Without a defined topology, teams struggle to reason about cache invalidation, session handling, media delivery, and background processing. Security controls also become inconsistent when network segmentation, IAM, and secrets management are not designed as first-class concerns. Operationally, the result is slower delivery and higher risk: deployments require manual steps, rollbacks are uncertain, incident response depends on tribal knowledge, and performance tuning becomes reactive. Costs can rise due to over-provisioning, while reliability remains fragile because scaling triggers and bottlenecks are not measured or governed. ## Drupal Infrastructure Architecture Methodology ### Platform Discovery Review current Drupal runtime, traffic patterns, environments, and operational constraints. We map dependencies such as database, Redis, file/media storage, cron/queues, and CDN behavior, and identify existing failure modes and bottlenecks. ### Target Topology Design Define the reference architecture across compute, networking, storage, caching, and edge delivery. We document trust boundaries, availability zones, scaling assumptions, and the responsibilities of each component in the Drupal runtime. ### Security Architecture Design IAM, network segmentation, secrets management, and encryption requirements aligned to enterprise controls. We define least-privilege access patterns for workloads, administrators, and automation, including audit and key rotation considerations. ### Runtime & Scaling Model Specify container and Kubernetes patterns for Drupal (stateless web tier, persistent services, autoscaling triggers). We define session strategy, cache tiers, background processing, and safe handling of shared state such as files and media. ### Observability Design Establish logging, metrics, tracing, and alerting requirements tied to Drupal and infrastructure signals. We define SLO-relevant indicators, dashboards for operations, and incident triage paths that reduce mean time to recovery. ### Resilience & DR Planning Design high availability and disaster recovery patterns including backup/restore, multi-AZ behavior, and recovery objectives. We document dependency ordering, data consistency expectations, and validation steps for recovery exercises. ### Implementation Blueprint Produce infrastructure-as-code patterns, environment templates, and runbooks that teams can implement consistently. The blueprint includes configuration standards, naming conventions, and integration points for CI/CD and change management. ### Governance & Evolution Define how the architecture is maintained over time through reviews, versioned documentation, and operational standards. We establish decision records, capacity planning routines, and a backlog for incremental improvements. ## Core Infrastructure Architecture Capabilities This service establishes the technical foundations required to run Drupal reliably in cloud environments. It focuses on explicit runtime boundaries, repeatable environment design, and operational controls that support safe change. The capability set spans container and Kubernetes patterns, caching and edge delivery, network and identity architecture, and observability. The goal is an infrastructure model that can be implemented consistently and evolved without destabilizing the platform. ![Feature: Reference Topology](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--core-features--reference-topology) 1 ### Reference Topology A documented infrastructure reference model for Drupal that defines compute tiers, network boundaries, data services, and edge delivery. It clarifies which components are stateful versus stateless, how traffic flows through the system, and how environments remain consistent across dev, staging, and production. ![Feature: Kubernetes Runtime Patterns](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--core-features--kubernetes-runtime-patterns) 2 ### Kubernetes Runtime Patterns Workload patterns for running Drupal on Kubernetes, including pod design, health checks, autoscaling triggers, and rollout strategies. The architecture addresses PHP-FPM behavior, shared dependencies, and safe deployment practices such as blue/green or canary where appropriate. ![Feature: Caching Layer Design](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--core-features--caching-layer-design) 3 ### Caching Layer Design A multi-layer caching strategy covering application cache, Redis usage, and CDN behavior. The design specifies cache keys, invalidation paths, session handling implications, and how caching integrates with Drupal render caching and edge delivery to reduce origin load. ![Feature: Network & Security Boundaries](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--core-features--network-security-boundaries) 4 ### Network & Security Boundaries Network segmentation, ingress/egress controls, and identity access patterns aligned to enterprise security requirements. This includes IAM role design, secrets management approach, encryption expectations, and auditability considerations for both human and automated access. ![Feature: State & Storage Strategy](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--core-features--state-storage-strategy) 5 ### State & Storage Strategy Clear handling of persistent state such as media/files, configuration, and backups. The architecture defines storage options, consistency expectations, and operational workflows for media delivery, backup/restore, and lifecycle management across environments. ![Feature: Observability Architecture](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--core-features--observability-architecture) 6 ### Observability Architecture A monitoring and logging model that connects infrastructure signals to Drupal behavior. It defines what to measure, how to alert, and how to correlate incidents across layers, including dashboards for latency, error rates, cache performance, and resource saturation. ![Feature: Resilience & DR Architecture](https://res.cloudinary.com/dywr7uhyq/image/upload/w_580,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--core-features--resilience-dr-architecture) 7 ### Resilience & DR Architecture High availability and disaster recovery patterns with explicit recovery objectives and dependency ordering. The capability includes backup design, restore validation, multi-AZ behavior, and documented recovery runbooks that can be exercised and improved over time. Capabilities * Drupal cloud reference architecture * Kubernetes runtime design * AWS network and IAM design * Redis and cache tier strategy * CDN edge delivery architecture * Observability and alerting model * Disaster recovery planning * Infrastructure-as-code blueprints Who This Is For * DevOps Engineers * Platform Architects * Infrastructure Teams * SRE and Operations Leads * CTO and Engineering Leadership * Security and Compliance Stakeholders * Product Platform Owners Technology Stack * Drupal * AWS * Docker * Kubernetes * Redis * CDN * Infrastructure as Code * Centralized logging and metrics ## Delivery Model Engagements follow a clear engineering sequence from discovery through implementation planning and long-term evolution. We work from current-state constraints, define a target topology (including Kubernetes and Drupal AWS network architecture where relevant), and produce blueprints, runbooks, and validation criteria that teams can adopt incrementally. ![Delivery card for Discovery & Assessment](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--delivery--discovery-assessment)\[01\] ### Discovery & Assessment We review current environments, deployment paths, traffic characteristics, and operational pain points. The output is a dependency map and a prioritized list of architectural risks and constraints to carry into design. ![Delivery card for Architecture Definition](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--delivery--architecture-definition)\[02\] ### Architecture Definition We define target-state topology, trust boundaries, and service responsibilities across compute, network, storage, caching, and edge. Decisions are captured as architecture records with clear trade-offs and assumptions. ![Delivery card for Operational Requirements](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--delivery--operational-requirements)\[03\] ### Operational Requirements We specify SLO-aligned observability, incident response expectations, backup/restore needs, and change management requirements. This stage ensures the architecture is operable by the teams who will run it. ![Delivery card for Implementation Blueprinting](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--delivery--implementation-blueprinting)\[04\] ### Implementation Blueprinting We translate architecture into implementable patterns: environment templates, IaC structure, configuration standards, and runbooks. The blueprint is designed for repeatability across multiple Drupal sites or environments. ![Delivery card for Integration Planning](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--delivery--integration-planning)\[05\] ### Integration Planning We define integration points with CI/CD, secrets management, identity providers, and enterprise networking. The output includes rollout sequencing and dependency ordering to reduce risk during adoption. ![Delivery card for Validation & Testing](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--delivery--validation-testing)\[06\] ### Validation & Testing We define validation criteria and test plans for scaling, failover behavior, caching correctness, and recovery procedures. Where possible, we run tabletop exercises or non-production drills to confirm assumptions. ![Delivery card for Handover & Enablement](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--delivery--handover-enablement)\[07\] ### Handover & Enablement We deliver documentation, runbooks, and operational checklists, and align on ownership boundaries. Enablement sessions focus on day-2 operations: deployments, incident triage, and routine maintenance. ![Delivery card for Continuous Evolution](https://res.cloudinary.com/dywr7uhyq/image/upload/w_540,f_avif,q_auto:good/v1/service-drupal-infrastructure-architecture--delivery--continuous-evolution)\[08\] ### Continuous Evolution We establish an evolution backlog and governance cadence for architecture reviews. This supports incremental improvements as traffic, features, and compliance requirements change over time. ## Business Impact Infrastructure architecture affects delivery speed and platform risk because it defines how safely teams can change and operate the system. A clear, repeatable runtime reduces operational surprises, improves recovery outcomes, and supports predictable scaling as Drupal estates grow. ### Lower Deployment Risk Standardized environments and explicit rollout patterns reduce the chance of production-only failures. Teams can deploy more frequently with clearer rollback paths and fewer manual steps. ### Improved Reliability High availability design and well-defined failure modes reduce platform instability under load. Operational teams gain clearer signals and response paths during incidents. ### Predictable Performance Caching and edge delivery strategies reduce origin load and stabilize response times. Performance work becomes measurable and repeatable rather than reactive tuning. ### Reduced Operational Overhead Runbooks, observability, and consistent infrastructure patterns reduce reliance on tribal knowledge. Routine maintenance and incident triage require less ad hoc investigation. ### Scalable Platform Growth A defined scaling model supports growth across traffic, content volume, and multi-site estates. Capacity planning becomes a structured activity tied to measurable constraints. ### Stronger Security Posture Clear trust boundaries, least-privilege access, and consistent secrets handling reduce security drift. Auditability improves because access and changes are easier to trace. ### Cost Control Through Right-Sizing Measured scaling triggers and caching efficiency reduce over-provisioning. Teams can align spend with actual workload characteristics and performance targets. ## Related Services These related services extend Drupal infrastructure architecture into adjacent concerns—application and content architecture, multisite and search patterns, delivery automation, and governance—so the platform design, operations, and standards evolve together. [ ### Enterprise Drupal Architecture Designing Scalable Digital Foundations Learn More ](/services/drupal-architecture)[ ### Drupal Content Architecture Drupal content architecture design and editorial operating design Learn More ](/services/drupal-content-architecture)[ ### Drupal Data Architecture Entity modeling and durable data structures Learn More ](/services/drupal-data-architecture)[ ### Drupal Governance Architecture Drupal editorial workflow engineering and permissions model design Learn More ](/services/drupal-governance-architecture)[ ### Headless Drupal Headless Drupal Development Services for API-First Front-Ends Learn More ](/services/drupal-headless)[ ### Drupal Multisite One Platform. Multiple Brands. Infinite Scalability. Learn More ](/services/drupal-multisite)[ ### Drupal Search Architecture Scalable indexing and relevance design Learn More ](/services/drupal-search-architecture)[ ### Drupal DevOps & CI/CD Automated CI/CD Pipelines. Reliable Infrastructure. Learn More ](/services/drupal-devops)[ ### Drupal High Availability Architecture Enterprise Drupal uptime engineering through resilient infrastructure design Learn More ](/services/drupal-high-availability-architecture) ## FAQ Common questions from platform and infrastructure teams evaluating Drupal infrastructure architecture for cloud operations and long-term maintainability. What does a Drupal infrastructure architecture typically include? A Drupal infrastructure architecture defines the runtime topology and the operational rules that make the platform predictable. It typically covers compute (VMs or containers), network boundaries (VPC/VNet, subnets, ingress/egress), identity and access (IAM roles, service accounts), and the data services Drupal depends on (database, Redis, file/media storage). It also includes delivery and edge concerns such as CDN behavior, TLS termination, cache invalidation paths, and how requests flow from edge to origin. For container platforms, it specifies Kubernetes patterns: health checks, autoscaling triggers, rollout strategies, and how to handle stateful dependencies. Finally, it defines day-2 operations: observability (logs/metrics/traces), alerting and SLO signals, backup/restore and disaster recovery objectives, and runbooks. The goal is to make assumptions explicit so teams can implement and evolve the platform without relying on undocumented tribal knowledge. How do you design for multi-site Drupal estates and shared services? Multi-site estates usually introduce shared dependencies (CDN, WAF, identity, logging, CI/CD) and a mix of site-specific requirements (traffic profiles, content models, release cadence). Architecture work starts by defining what is shared versus isolated: network segmentation, namespaces or clusters, database isolation, and how caching is partitioned to avoid cross-site impact. We typically define a reference environment template that can be instantiated per site or per group of sites, with consistent observability and security controls. Shared services are treated as platform products with clear SLAs and change control, rather than “global” resources that drift over time. We also address operational blast radius: how a single site’s deployment, cache purge, or traffic spike can affect others. This includes rate limits, autoscaling boundaries, and resource quotas, plus governance for onboarding new sites and evolving shared components safely. What operational practices are required to run Drupal reliably in the cloud? Reliable cloud operations for Drupal depend on repeatability and visibility. Repeatability comes from consistent environment templates (ideally infrastructure as code), standardized configuration management, and a deployment process that does not require manual production steps. Visibility comes from logging, metrics, and alerting that reflect both infrastructure health and Drupal-specific behavior. Operational practices typically include defined on-call ownership, incident response runbooks, and routine maintenance workflows (patching, certificate rotation, key rotation, dependency upgrades). Capacity planning should be tied to measurable signals such as request latency, cache hit rates, database saturation, and queue backlog. We also recommend periodic resilience exercises: backup/restore validation, failover drills where applicable, and post-incident reviews that feed an improvement backlog. The architecture should support these practices by making dependencies and failure modes explicit rather than implicit. How do you handle environment parity across dev, staging, and production? Environment parity is achieved by standardizing the topology and operational controls, not by making every environment identical in size. We define a reference architecture that is consistent in structure (same components, same traffic flow, same security boundaries) while allowing right-sized capacity for non-production. In practice this means using the same container images, configuration conventions, and deployment mechanisms across environments, with differences limited to parameterized values (instance sizes, replica counts, feature flags, and external integrations). Secrets and credentials are managed per environment with clear access controls. We also define how data moves between environments, including sanitization requirements, and how to validate changes before production. The goal is to reduce “works in staging” gaps by ensuring that the same failure modes and operational behaviors can be observed earlier in the lifecycle. How does this architecture integrate with CI/CD for Drupal deployments? CI/CD integration starts with defining what the pipeline is responsible for versus what the runtime platform enforces. The architecture typically specifies immutable build artifacts (container images), environment promotion rules, and how configuration and database changes are applied safely. For Drupal, this includes handling config imports, database updates, and cache rebuilds in a controlled sequence. We define integration points for secrets injection, image scanning, policy checks, and deployment strategies (rolling, blue/green, or canary). The pipeline should be able to deploy consistently across environments using the same mechanisms, with approvals and change control aligned to enterprise governance. We also define observability hooks: deployment markers, health checks, and automated rollback criteria where appropriate. The result is a delivery flow that is compatible with operational requirements rather than fighting them. How do you integrate Redis and a CDN with Drupal without breaking correctness? Correctness depends on understanding what is cached, where it is cached, and how it is invalidated. For Redis, we define its role (cache backend, lock backend, session storage where appropriate) and ensure configuration aligns with Drupal’s cache bins and concurrency behavior. We also design for resilience: what happens when Redis is unavailable, and how to avoid cascading failures. For CDN integration, we define cacheability rules, TTL strategy, purge/invalidation mechanisms, and how authenticated versus anonymous traffic is handled. We pay particular attention to cookies, vary headers, and edge behaviors that can accidentally cache personalized content. The architecture includes a clear cache hierarchy (browser, CDN, reverse proxy if used, Drupal render cache, Redis) and a test plan to validate cache hit rates and content correctness under real traffic patterns. What governance is needed to keep the infrastructure architecture from drifting? Architecture drift usually happens when changes are made under time pressure without updating standards, documentation, or templates. Governance should be lightweight but explicit: versioned infrastructure-as-code, documented architecture decision records, and a review cadence for changes that affect topology, security boundaries, or shared services. We typically define a small set of non-negotiable standards (naming, tagging, network segmentation, secrets handling, logging/metrics requirements) and a process for exceptions. Ownership boundaries are also part of governance: who can change what, how changes are approved, and how they are communicated. Finally, governance should include operational feedback loops: post-incident actions, capacity reviews, and periodic security reviews. The goal is to make the architecture a living system that evolves deliberately rather than a one-time design document. How do you document and operationalize runbooks for Drupal platforms? Runbooks are most useful when they are tied to observable signals and specific actions. We document runbooks around common operational events: deployment failures, elevated error rates, latency spikes, cache issues, database saturation, queue backlog, and recovery procedures. Each runbook includes prerequisites, decision points, and verification steps. Operationalization means integrating runbooks with monitoring and alerting. Alerts should link to the relevant runbook and dashboards, and dashboards should reflect the metrics that matter for Drupal (PHP worker saturation, cache hit rate, database connections, response codes, and edge/origin latency). We also define ownership and rehearsal: who is responsible for keeping runbooks current, and how teams validate them through drills or post-incident reviews. This reduces reliance on individual expertise and improves consistency during incidents. What are the main risks when migrating Drupal to Kubernetes? The main risks are usually around state, operational maturity, and hidden coupling. Drupal web workloads can be made largely stateless, but dependencies such as file/media storage, sessions, cron/queues, and cache invalidation must be designed explicitly. If these are treated as afterthoughts, teams can end up with fragile deployments and inconsistent behavior across pods. Operationally, Kubernetes introduces new responsibilities: cluster upgrades, resource quotas, autoscaling behavior, and troubleshooting across layers. Without clear observability and runbooks, incident response can become slower because failures are harder to localize. We mitigate these risks by defining workload patterns, dependency boundaries, and rollout strategies early, and by validating assumptions with non-production load and failure testing. The goal is to adopt Kubernetes for repeatability and scaling without increasing operational complexity beyond what the team can support. How do you reduce the risk of outages during infrastructure changes? Risk reduction starts with making changes reversible and observable. We design rollout strategies that support incremental adoption: parallel environments, controlled traffic shifting, and clear rollback paths. For Drupal, we also define safe sequencing for changes that affect caching, sessions, and database connectivity. We recommend implementing change gates based on health checks and SLO indicators rather than time-based assumptions. This includes deployment markers, automated smoke tests, and dashboards that show edge/origin latency, error rates, and resource saturation during changes. We also address operational readiness: runbooks for expected failure modes, on-call coverage for high-risk windows, and post-change validation steps. The architecture should enable these controls by standardizing environments and reducing one-off manual procedures. What does an engagement typically deliver, and what do teams implement themselves? An engagement typically delivers an implementable architecture package: target topology, security and network design, caching and edge strategy, observability requirements, resilience/DR approach, and a blueprint for infrastructure-as-code structure and environment templates. We also provide decision records, operational runbooks, and validation criteria so teams can confirm the architecture behaves as designed. Implementation responsibilities depend on your operating model. Some teams implement everything internally using the blueprint, while others ask us to pair with their engineers to build the initial templates and establish patterns. In either case, we aim to leave you with repeatable artifacts and a clear path for onboarding additional environments or sites. We align early on what “done” means: which environments are in scope, what integrations must be proven (CI/CD, secrets, logging), and what operational readiness is required (alerts, dashboards, recovery steps). How does collaboration typically begin for Drupal infrastructure architecture work? Collaboration typically begins with a short discovery phase to establish context and constraints. We start by reviewing your current Drupal topology, environments, deployment flow, traffic characteristics, and operational pain points. We also identify non-functional requirements such as availability targets, compliance constraints, and security controls that shape the design. Next, we agree on scope and decision boundaries: which parts of the stack are in play (AWS accounts, Kubernetes, Redis, CDN, networking), what is fixed versus changeable, and what timelines or release commitments must be respected. We define the outputs you need (reference architecture, IaC blueprint, runbooks, DR plan) and who will own implementation. From there, we run structured working sessions with platform, DevOps, and application stakeholders, producing a target topology and a prioritized adoption plan. The goal is to move quickly from assessment to an implementable blueprint with clear next steps and measurable validation criteria. ## Enterprise Drupal Infrastructure and Performance Case Studies These case studies showcase advanced Drupal infrastructure architecture, including scalable hosting, secure network design, and performance optimization. They highlight real-world implementations of Kubernetes runtime patterns, AWS network architecture, caching strategies, and observability models that align closely with Drupal infrastructure architecture services. The selected examples demonstrate measurable improvements in platform stability, security, and operational efficiency at enterprise scale. \[01\] ### [Bayer Radiología LATAMSecure Healthcare Drupal Collaboration Platform](/projects/bayer-radiologia-latam "Bayer Radiología LATAM") [![Project: Bayer Radiología LATAM](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/project-bayer--challenge--01)](/projects/bayer-radiologia-latam "Bayer Radiología LATAM") [Learn More](/projects/bayer-radiologia-latam "Learn More: Bayer Radiología LATAM") Industry: Healthcare / Medical Imaging Business Need: An advanced healthcare digital platform for LATAM was required to facilitate collaboration among radiology HCPs, distribute company knowledge, refine treatment methods, and streamline workflows. The solution needed secure medical website role-based access restrictions based on user role (HCP / non-HCP) and geographic region. Challenges & Solution: * Multi-level filtering for precise content discovery. - Role-based access control to support different professional needs. - Personalized HCP offices for tailored user experiences. - A structured approach to managing diverse stakeholder expectations. Outcome: The platform enhanced collaboration, streamlined workflows, and empowered radiology professionals with advanced tools to gain insights and optimize patient care. \[02\] ### [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. \[03\] ### [DeprexisDrupal Performance Stabilization & Secure eCommerce Payment Workflows](/projects/deprexis-digital-mental-health-platform "Deprexis") [![Project: Deprexis](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/project-deprexis--challenge--01)](/projects/deprexis-digital-mental-health-platform "Deprexis") [Learn More](/projects/deprexis-digital-mental-health-platform "Learn More: Deprexis") Industry: Digital Health / Mental Health Business Need: The Deprexis mental health digital platform on Drupal required stabilization, faster performance, and a secure ecommerce payment workflow to support online services. The solution needed to meet strict reliability and security expectations common for digital healthcare products. Challenges & Solution: * Critical performance bottlenecks were identified and resolved with caching and rendering optimizations. - A secure eCommerce/payment module was implemented with ABank integration for online checkout. - Automated regression coverage was introduced to protect sensitive order workflows and reduce release risk. - Quality gates were improved through test-driven delivery and repeatable validation in CI. Outcome: The platform was stabilized, performance was improved, and secure checkout workflows were delivered with strong automated coverage to reduce operational and compliance risks. \[04\] ### [London School of Hygiene & Tropical Medicine (LSHTM)Higher Education Drupal Research Data Platform](/projects/lshtm-london-school-of-hygiene-tropical-medicine "London School of Hygiene & Tropical Medicine (LSHTM)") [![Project: London School of Hygiene & Tropical Medicine (LSHTM)](https://res.cloudinary.com/dywr7uhyq/image/upload/w_644,f_avif,q_auto:good/v1/project-lshtm--challenge--01)](/projects/lshtm-london-school-of-hygiene-tropical-medicine "London School of Hygiene & Tropical Medicine (LSHTM)") [Learn More](/projects/lshtm-london-school-of-hygiene-tropical-medicine "Learn More: London School of Hygiene & Tropical Medicine (LSHTM)") Industry: Healthcare & Research Business Need: LSHTM required improvements to its existing higher education Drupal platform to better manage and distribute complex research data, including support for third-party integrations, Drupal performance optimization, and more reliable synchronization. Challenges & Solution: * Implemented CSV-based data import and export functionality. - Enabled dataset downloads for external consumers. - Improved performance of data-heavy pages and research content delivery. - Stabilized integrations and sync flows across multiple data sources. Outcome: The solution improved data accessibility, streamlined research workflows, and enhanced system performance, enabling LSHTM to manage complex datasets more efficiently. \[05\] ### [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 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 As Dev Team Lead on my project for 10 months, Oleksiy (PathToProject) demonstrated excellent technical skills and the ability to handle complex Drupal projects. His full-stack expertise is highly valuable. ![Photo: Laurent Poinsignon](https://res.cloudinary.com/dywr7uhyq/image/upload/w_100,f_avif,q_auto:good/v1/testimonial-laurent-poinsignon) #### Laurent Poinsignon ##### Domain Delivery Manager Web at TotalEnergies ## Further reading on Drupal platform operations These articles expand on the operational and architectural decisions that shape a reliable Drupal platform. They cover governance, identity boundaries, multisite standardization, and migration planning—useful context for teams evaluating infrastructure design, delivery controls, and long-term platform maintainability. [ ![Drupal Configuration Drift in Multi-Team Platforms: Why Release Confidence Erodes Over Time](https://res.cloudinary.com/dywr7uhyq/image/upload/c_fill,w_1440,h_1080,g_auto/f_auto/q_auto/v1/blog-20240918-drupal-configuration-drift-in-multi-team-platforms--cover?_a=BAVMn6ID0) ### Drupal Configuration Drift in Multi-Team Platforms: Why Release Confidence Erodes Over Time Sep 18, 2024 ](/blog/20240918-drupal-configuration-drift-in-multi-team-platforms) [ ![How to Standardize a Drupal Multisite Platform Without Freezing Local Delivery](https://res.cloudinary.com/dywr7uhyq/image/upload/c_fill,w_1440,h_1080,g_auto/f_auto/q_auto/v1/blog-20250722-drupal-multisite-standardization-without-blocking-local-teams--cover?_a=BAVMn6ID0) ### How to Standardize a Drupal Multisite Platform Without Freezing Local Delivery Jul 22, 2025 ](/blog/20250722-drupal-multisite-standardization-without-blocking-local-teams) [ ![Drupal SSO Boundaries: Where Identity Integration Should Stop in Enterprise Experience Platforms](https://res.cloudinary.com/dywr7uhyq/image/upload/c_fill,w_1440,h_1080,g_auto/f_auto/q_auto/v1/blog-20230214-drupal-sso-boundaries-for-enterprise-experience-platforms--cover?_a=BAVMn6ID0) ### Drupal SSO Boundaries: Where Identity Integration Should Stop in Enterprise Experience Platforms Feb 14, 2023 ](/blog/20230214-drupal-sso-boundaries-for-enterprise-experience-platforms) [ ![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) [ ![Redirect Governance Before an Enterprise CMS Migration: Why URL Decisions Become Cutover Risk](https://res.cloudinary.com/dywr7uhyq/image/upload/c_fill,w_1440,h_1080,g_auto/f_auto/q_auto/v1/blog-20240814-redirect-governance-before-enterprise-cms-migration--cover?_a=BAVMn6ID0) ### Redirect Governance Before an Enterprise CMS Migration: Why URL Decisions Become Cutover Risk Aug 14, 2024 ](/blog/20240814-redirect-governance-before-enterprise-cms-migration) ## Define a Drupal runtime your teams can operate confidently Let’s review your current Drupal infrastructure, identify operational risks, and produce an implementable target architecture with clear runbooks and validation criteria. Schedule an architecture review ![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