AWS Cloud Consultancy for the Modern Enterprise
Smallfries Digital is an AWS-focused cloud consultancy helping businesses modernize, secure and optimize their cloud environments. We specialize in DevOps, Data, DR/BCP, Cloud Security, DevSecOps, Networking, and AI/ML — delivering production-grade solutions that scale with your business.
Our Services
Deep expertise across the full AWS stack.
DevOps & CloudOps
Infrastructure as Code with CloudFormation, AWS CDK and Terraform. CI/CD pipelines with AWS CodePipeline, GitHub Actions and GitLab CI. Automated deployments, configuration management and cloud operations across your AWS environments.
Cloud Security & DevSecOps
Implement security controls and compliance measures for your networks, services, users and data on AWS. Leverage AWS WAF and AWS Network Firewall for protecting API, Web and ingress/egress network traffic. Detect and respond to threats with Amazon GuardDuty, AWS Security Hub and Amazon Inspector. Ensure compliance to CIS, PCI-DSS, SOC2, HIPAA, NIST CSF, ISO and more.
Data & Analytics
Modern data platforms on AWS with Amazon RDS, Aurora, DynamoDB, DocumentDB and Amazon Redshift. Build data pipelines with AWS Glue, Amazon Kinesis and Amazon MSK. Data lake architecture with Amazon S3 and AWS Lake Formation. Real-time analytics and business intelligence with Amazon QuickSight and Amazon OpenSearch.
DR/BCP & Resilience
Design and implement Disaster Recovery and Business Continuity plans on AWS. Multi-region architectures, automated failover with Amazon Route 53, cross-region replication for databases and storage. Backup strategies with AWS Backup. RTO/RPO planning, runbook automation and regular DR testing.
Networking
AWS networking architecture with Amazon VPC, Transit Gateway, PrivateLink and VPC Endpoints. Hybrid connectivity with AWS Direct Connect and Site-to-Site VPN. Global networking with AWS Cloud WAN for multi-region and multi-account network management, and AWS Global Accelerator for optimized traffic routing and improved application performance. DNS management with Amazon Route 53. Network segmentation, firewall policies and traffic inspection with AWS Network Firewall.
AI/ML — Agentic AI, GenAI & RAG
Build intelligent applications with Amazon Bedrock, Amazon SageMaker and AWS Lambda. Implement Retrieval-Augmented Generation (RAG) with Amazon Bedrock Knowledge Bases and Amazon OpenSearch. Deploy Agentic AI workflows with Amazon Bedrock Agents. Fine-tune foundation models and run GPU-accelerated workloads on Amazon EKS.
Containers & Kubernetes
Container orchestration on Amazon ECS and Amazon EKS. GitOps delivery with Argo CD and Flux. Kubernetes-native configuration with Helm Charts. Node lifecycle management with Karpenter. Progressive delivery with Argo Rollouts. Service mesh with Istio and API ingress with Envoy Gateway.
Serverless & Event-Driven
Custom development of application services, microservices, APIs and data workflows using Node.js, TypeScript and Python on AWS Lambda and AWS Fargate. Event-Driven Architecture with Amazon EventBridge, Amazon SNS, Amazon SQS and AWS Step Functions.
Observability & Monitoring
End-to-end monitoring with Amazon CloudWatch, AWS X-Ray and CloudWatch Application Signals. Cloud-native observability with Prometheus, Grafana and OpenTelemetry on Amazon Managed Service for Prometheus and Amazon Managed Grafana. Log analytics with Amazon OpenSearch. Alerts via Slack, MS Teams and e-mail.
Cost Optimization
Right-size your compute, database and analytics workloads for optimal cost and performance. Adopt AWS Graviton (Arm-based) instances for better price/performance. Maximize Spot Instances, Savings Plans and Reserved Instances. Implement tagging strategies and cost allocation with AWS Cost Explorer and AWS Budgets.
Your trusted AWS partner for cloud modernization and innovation
To get the most from your AWS investment, you need a partner who understands your business and technology challenges. Smallfries Digital designs and delivers cloud solutions that generate ongoing strategic value — from infrastructure modernization and security hardening to AI/ML innovation and disaster recovery planning.
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Containers
Containerization helps organizations focus on their core business objectives, leading to greater potential revenue gains. Container adoption strongly impacts the portability of applications and reduces vendor lock-in. Organizations that use Containers experience a 40% reduction in downtime. Containerization features like granular access permissions, policy automation and standardization drive increased compliance and more stable products. Using Containers increases the number of mission-critical applications developed with agile methodologies by 36%.
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Serverless
Serverless architecture helps organizations be more productive and reduce costs. It enables faster feature deployment, more frequent releases and higher levels of cloud-native deployment. Serverless organizations can better match infrastructure to demand using automatic scaling, resulting in a 23% improvement in compute utilization. Organizations using Serverless report spending 39% less on IT infrastructure and converting monolithic applications to cloud-native 22% faster.
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Managed Data
AWS Managed Data services like Amazon RDS, Aurora, DynamoDB, DocumentDB and Amazon Redshift let you build purpose-built, highly scalable applications. Organizations using managed data report a 71% increase in cloud-native applications and a 28% increase in revenue driven by faster insights and greater data accessibility. Managed data enables business agility through better integration and utilization of your data assets.
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GenAI, Agentic AI & ML
Build and deploy production-grade AI agents and generative AI applications on AWS. We help you go from prototype to production using Amazon SageMaker Unified Studio as your single environment for data, analytics and AI — with serverless notebooks, model training, data cataloging and GenAI app development in one place. Deploy autonomous AI agents at scale with Amazon Bedrock AgentCore, which provides purpose-built agent runtime, identity management, memory, tool integration and observability without infrastructure overhead. Implement RAG pipelines with Bedrock Knowledge Bases and Amazon OpenSearch, apply Guardrails for responsible AI, and fine-tune foundation models on your own data.
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