Alfresco on AWS Deployment Architecture (2026): EC2, EKS, S3 & Cost Optimization

Deploying Alfresco Content Services (ACS) on Amazon Web Services can improve infrastructure flexibility, but architecture choices determine reliability and total cost of ownership. This practical guide covers an Alfresco AWS deployment architecture, Amazon EC2 versus EKS, S3 content storage, RDS PostgreSQL, search, messaging, security, cost assumptions, and configuration examples.

Technical scope: This is a reference design, not a ready-to-run production configuration. Validate your exact ACS version, licensed connectors, chart release, search compatibility, and AWS region before implementation.

Quick answer: Start with private Alfresco repository nodes behind an Application Load Balancer, RDS PostgreSQL, a supported S3 Content Connector, a version-compatible search stack, an ActiveMQ-compatible messaging service, and isolated transform services. Choose EC2 for simpler operational requirements or EKS when your team can maintain Kubernetes.

Alfresco on AWS deployment architecture and cost optimization using EC2, EKS, S3 and RDS PostgreSQL

  1. AWS reference architecture
  2. EC2 or EKS?
  3. Deployment and configuration examples
  4. Monthly AWS cost model
  5. Nine optimization opportunities
  6. Production readiness checklist
  7. FAQs

1. Alfresco AWS deployment architecture

In a resilient design, requests reach an HTTPS load balancer; the Alfresco application tier runs in private subnets; persistent metadata is stored in RDS; document binaries reside in S3 via a supported connector. Search, transformations, and asynchronous messaging are deployed and scaled separately.

Architecture diagram: Upload the supplied JPG to Blogger, then insert it here using Blogger's image tool and add descriptive alt text: Alfresco AWS deployment architecture with ALB, EC2 or EKS, Amazon RDS, S3, search services and Amazon MQ.

LayerAWS serviceEngineering decision
EdgeALB, ACM, optional AWS WAFHTTPS and a restricted public entry point
Repository / UIEC2 Auto Scaling or Amazon EKSPrivate nodes; separate sizing for repository, Share and Digital Workspace
MetadataRDS for PostgreSQLVersion-supported driver, storage, backups; Multi-AZ if required
Binary documentAmazon S3Supported Alfresco S3 connector, IAM, encryption, lifecycle review
Full text searchAlfresco Search Services (Solr) or compatible Search Enterprise/OpenSearch designNot interchangeable without migration and support verification
MessagingAmazon MQ for ActiveMQ or supported brokerDo not substitute Amazon SQS without application-level changes
RenditionsTransform Service plus shared file store if neededSize for document conversion workload
OperationsCloudWatch, IAM, KMS, BackupObservability, secrets, encryption and recovery

Official ACS Helm deployment documentation includes an AWS-services example using EKS with S3, RDS, Amazon MQ and OpenSearch. The correct search product depends on your Alfresco release and license. See ACS deployment with AWS services.

Alfresco AWS deployment architecture with load balancer, EC2 or EKS, Amazon RDS PostgreSQL, S3 content storage, search services and Amazon MQ

H2 — Alfresco AWS Deployment Architecture: Reference Design

2. EC2 vs EKS: choosing a deployment model
CriteriaEC2 deploymentEKS deployment
Best fitSmaller teams, familiar VM administrationContainer platform teams operating multiple services
ComplexityOS patching, instances, deployment scriptsKubernetes, Helm, cluster upgrades, pod operations
ElasticityAuto Scaling with validationPod and node scaling with validation
Cost driversEC2, EBS, ALB, networkingEKS cluster fee plus worker compute, storage, networking
RecommendationStart simple if workload is predictableUse when platform expertise and scale justify it

Important: Even if repository binaries move to S3, the database, search indexes and transform temporary/shared storage may still need separate persistent capacity.

3. AWS configuration examples

3.1 Create a private S3 content bucket

The bucket should be created in an approved AWS region. Use a globally unique bucket name and inspect retention, object-versioning, and deletion semantics before enabling costly policies.

aws s3api create-bucket \
  --bucket YOUR-UNIQUE-ACS-BUCKET \
  --region us-east-1

aws s3api put-public-access-block \
  --bucket YOUR-UNIQUE-ACS-BUCKET \
  --public-access-block-configuration \
  BlockPublicAcls=true,IgnorePublicAcls=true,BlockPublicPolicy=true,RestrictPublicBuckets=true

aws s3api put-bucket-encryption \
  --bucket YOUR-UNIQUE-ACS-BUCKET \
  --server-side-encryption-configuration '{"Rules":[{"ApplyServerSideEncryptionByDefault":{"SSEAlgorithm":"AES256"}}]}'

These CLI examples use ; bucket-creation arguments differ for other AWS regions. IAM role policies and the installed S3 connector must be configured independently. For KMS-managed encryption, include the correct key policy and request charges in the cost model.us-east-1

3.2 RDS PostgreSQL connection properties

# Illustrative alfresco-global.properties fragment
# Check property support for your ACS version.
db.driver=org.postgresql.Driver
db.url=jdbc:postgresql://YOUR-RDS-ENDPOINT:5432/alfresco
db.username=alfresco
db.password=${ALFRESCO_DB_PASSWORD}

Use a secure deployment-time property-resolution mechanism or secrets integration supported by your ACS release. Do not assume the placeholder syntax automatically reads environment variables in every Alfresco deployment. Restrict PostgreSQL port 5432 to application security groups and enable TLS according to your JDBC driver and certificate setup.

3.3 Configure a supported S3 content store

The correct S3 connector artifact and keys vary by release. Install the connector version officially compatible with your ACS version and follow its documented S3 subsystem instructions; avoid copying properties from an unrelated release. Documentation: Alfresco Content Connector for AWS S3.alfresco-global.properties

3.4 An illustrative deployment topology

Internet clients
  -> HTTPS / ALB / optional WAF
  -> Private application nodes: Alfresco repository + UI
      -> RDS PostgreSQL (metadata)
      -> S3 via compatible connector (document content)
      -> Solr Search Services OR supported Search Enterprise stack
      -> Amazon MQ / compatible ActiveMQ broker
      -> Transform services and temporary/shared storage
  -> CloudWatch, backup policies and security controls

When running EKS, follow the maintained Helm chart and official AWS deployment example for your target release rather than treating a generic values.yaml snippet as production-ready.

4. Alfresco AWS monthly cost estimate: transparent assumptions

Below is a worked budgeting scenario, not live AWS pricing or a vendor quote. Assume 730 hours/month, one region, Linux on-demand workloads, approximately 2 TB of stored documents, modest document processing, and no unusually high transfer or reindex spikes. Prices are rounded illustrative planning allowances in USD. Real charges differ significantly across AWS regions, instance classes, HA designs, purchase commitments and service tiers.

Cost itemAssumptionIllustrative USD/month
Application computeTwo modest repository/UI nodes$350
Search capacityDedicated search compute + volumes$300
Transform / ancillary servicesOne modest service allocation$130
RDS PostgreSQLInstance, storage and backups allowance$280
S3 documents2 TB × assumed $0.023/GB-month (~2,048 GB)$47
ALB and networkingLoad balancer, NAT, data transfer allowance$200
Amazon MQBroker allowance$120
Monitoring / snapshotsLogs, metrics, backup overhead$100
Illustrative subtotal$1,527/month

Arithmetic: $350 + $300 + $130 + $280 + $47 + $200 + $120 + $100 = $1,527/month, or $18,324/year before taxes. The S3 example assumes decimal-style GB billing and rounded quantities; request, retrieval, lifecycle transition and replication charges are excluded.

alfresco-aws-cost-optimization-cover-2026


Not included: Alfresco licenses/support, implementation and migration labor, enterprise backup retention, disaster recovery environment, Windows/other software licenses, compliance operations, unexpected cross-AZ transfer, major Solr rebuilds or search reindexing, and possible EKS control-plane fees. High availability can substantially increase the budget.

To create a region-specific estimate, open the AWS Pricing Calculator, then add EC2/EKS, RDS, S3, ALB, Amazon MQ, EBS/EFS, CloudWatch, NAT Gateway and data-transfer usage separately.

5. Nine practical cost-optimization levers

  1. Right-size after measurement: Collect JVM heap, CPU, memory, request throughput and garbage collection metrics over a representative workload.
  2. Keep search separate: Size Solr/OpenSearch for index volume, query concurrency, shards and reindex requirements; avoid oversized clusters by default.
  3. Use S3 lifecycle rules cautiously: Moving active Alfresco content to infrequent-access or archive tiers can cause retrieval penalties or application failures. Test connector behavior and restoration expectations first.
  4. Review database capacity: Track connection pools, IOPS, storage growth, backup retention and Multi-AZ requirements before changing instance classes.
  5. Reduce inter-AZ and NAT transfer: Inspect repeated application-to-storage transfers and consider supported VPC endpoints where beneficial.
  6. Scale transforms independently: CPU-heavy OCR, PDF and office rendition workloads should not force permanent overprovisioning of repository nodes.
  7. Use purchase discounts on stable loads: Evaluate Savings Plans or reservations only after confirming steady-state consumption.
  8. Control observability spend: Put practical retention periods on CloudWatch logs, and monitor high-cardinality metrics.
  9. Set AWS Budgets and tags: Track separate environments and components so unexpected search, egress or snapshot costs are visible.

6. Production deployment and migration checklist

  • Confirm supported ACS, Java, database, search and S3 Connector version combinations.
  • Choose single-AZ vs Multi-AZ deliberately; document RTO/RPO and recovery testing.
  • Put repositories, search, database and brokers in private subnets.
  • Configure TLS, least-privilege IAM, encryption and secrets rotation.
  • Validate object write/read/delete and retention behavior before S3 cutover.
  • Test custom AMPs/JARs, audit integrations, workflows and transforms.
  • Measure baseline JVM heap, Solr reindex time, DB IOPS, worker queues and latency.
  • Test sustained load, failover, restore and end-to-end document lifecycle.
  • Calculate total cost with region-specific pricing and projected growth.
  • Set alerts and review costs 7, 30 and 90 days after rollout.

7. Frequently asked questions

Is AWS S3 enough for Alfresco persistence?

No. S3 can hold document binaries when a supported connector is configured; Alfresco still needs metadata persistence, search indexes and potentially transform shared storage.

Should I deploy Alfresco on EC2 or EKS?

EC2 is often simpler for teams without Kubernetes operational experience. EKS can be appropriate for organizations already operating production container platforms. Compare total engineering effort, not just compute charges.

Can Alfresco Search Services be replaced with Amazon OpenSearch directly?

No universal drop-in replacement should be assumed. Search Services (Solr) and Alfresco Search Enterprise have different integration and support models; verify the product version and migration requirements.

How much does Alfresco on AWS cost per month?

There is no universal amount. This post models an illustrative $1,527/month infrastructure-only case; actual costs depend on compute sizing, search design, deployment availability, region and licenses.

Will S3 Glacier always reduce Alfresco costs?

No. Storage savings can be offset by retrieval delays and charges, and direct archiving of live content may violate application expectations. Test policies on suitable cold data and compatible connectors first.om

Related technical articles

Alfresco Upgrade Strategy 7.x for the Modern Enterprise 

Camunda 7 to Camunda 8 Migration Guide (2026) 

Browse Alfresco tutorials on this blog

Final recommendation: Start with a version compatibility matrix and a measured workload profile, then choose deployment options based on recovery requirements and projected total cost—not marketing claims about cloud savings. If this guide helped, share your Alfresco/AWS questions in the comments.

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