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Diatom Labs
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- · Cloud

AWS Cloud.

Expert architecture design, implementation, and management of AWS services including EC2, ECS, EKS, Lambda, and more - plus Bedrock, SageMaker, and Anthropic on AWS when you're ready to add AI.

AWS Cloud

AWS is our primary platform. It is where we build landing zones for payment companies, run GitOps delivery for regulated clients, and migrate the databases nobody else wants to touch. Most of the case studies on this site are AWS work - read those for the specifics.

What we do

Foundations

  • Multi-account landing zones with AWS Organizations and IAM Identity Center
  • Network architecture: VPCs, Transit Gateway, Client VPN, and segmentation that holds up under an assessor’s questions
  • Keyless CI/CD with GitHub Actions OIDC - no long-lived credentials anywhere in the pipeline

Compute and containers

  • ECS Fargate and EKS for containers; Lambda for event-driven and spiky workloads
  • Serverless architectures where the traffic pattern earns them
  • Scaling policies tuned against real load, not console defaults

Data

  • RDS and Aurora, including large live migrations - see the 150-schema PostgreSQL case study
  • DynamoDB, ElastiCache, S3 lifecycle management, and queue-based integration with SQS/SNS
  • Backup and recovery you can prove works, not just configure

Security and compliance

  • PCI-DSS scoping and controls built into the platform, not bolted on before an audit
  • KMS, Secrets Manager, and a secrets story that is not environment variables
  • Least-privilege IAM, org-wide audit trails, continuous threat detection

Cost

  • Right-sizing, savings plans, and honest “turn this off” recommendations
  • Cost visibility per team, per environment, per tenant

AI on AWS

  • Bedrock, SageMaker, and Anthropic models inside your existing accounts, IAM, and compliance boundary - covered in depth under GenAI on AWS & GCP

How we work

  1. Assess - current accounts, workloads, spend, and the constraints that actually bind
  2. Architect - a target design with the trade-offs written down, not implied
  3. Build or migrate - incrementally, in Terraform or CloudFormation, with rollback paths
  4. Operate - monitoring, cost reviews, and continuous hardening
  5. Transfer - your team ends up able to run it; we stay as backup, not as a dependency

Contact us to talk through your AWS estate - whether it is greenfield or grown organically for years.

- Our approach

A four-stage delivery loop.

  1. 01
    Assessment
    Evaluate current AWS usage and requirements.
  2. 02
    Architecture
    Design cloud-native AWS solutions.
  3. 03
    Migration
    Execute a seamless AWS migration.
  4. 04
    Optimization
    Implement AWS best practices and cost optimization.
- Outcomes

What this engagement delivers.

01
Regulated-workload experience
PCI-DSS landing zones, SOC 2 posture, and audit trails as properties of the platform - the compliance work in our case studies is mostly AWS work.
02
Certified and current
Our team holds AWS certifications up to Solutions Architect Professional and Advanced Networking Specialty, and uses them on real engagements.
03
Keyless delivery
CI/CD into AWS with GitHub OIDC and short-lived credentials. No long-lived access keys sitting in pipeline secrets.
04
Cost honesty
Right-sizing, savings plans, and 'turn this off' recommendations - even when a bigger bill would be more billable for us.

Ready to put this in motion?
A 30-minute call sets the direction.

Book free consultation See where we've shipped