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AWS Development From Application Deployment to AI Infrastructure

Our engineers deploy and optimize your AWS environment so your application, data, and AI features run reliably in production.
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When your AWS bill outpaces your confidence

Your application runs on AWS but nobody can explain the full architecture. EC2 instances were configured in the console two years ago, RDS doesn’t have proper failover, Lambda functions run on deprecated runtimes, and cost spikes show up on the invoice with no trace back to the feature that caused them. Curotec engineers bring your AWS infrastructure under code, under monitoring, and under control.

Our capabilities include:

Who we support​

We manage AWS infrastructure for teams whose applications have outgrown manual configuration and need production-grade deployment, monitoring, and cost controls.

SaaS Teams Running on AWS Without IaC

Your infrastructure was built in the AWS console and nobody documented what was clicked. Changes are risky because there's no way to reproduce the environment. You need your architecture defined in code so deployments are repeatable, auditable, and recoverable.

Companies with Rising AWS Costs

Your monthly bill grows but you can't trace spend back to specific features or services. Reserved instances are underutilized, Lambda invocations spike unpredictably, and nobody's right-sized anything in months. You need cost visibility tied to your actual architecture.

Engineering Leads Adding AI to AWS

Your application runs on AWS but your AI features need Bedrock endpoints, SageMaker hosting, or GPU instances that nobody on your team has provisioned before. You need engineers who connect AI infrastructure to your existing VPC, IAM, and deployment pipeline.

Ways to engage

We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.

Staff Augmentation

Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.

Retainer Services

Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.

Project Engagement

Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.

We'll spec out a custom engagement model for you

Invested in creating success and defining new standards

At Curotec, it is more than just the solutions we build. We value relationships between our people and our clients — that partnership is why CEOs, CTOs, and CMOs turn to Curotec.
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Helping a Series B SaaS company refine and scale their product efficiently

Why choose Curotec for AWS development?

Our engineers deploy your actual application on AWS because we build the applications too. Your Laravel API runs on ECS because we configured the task definitions. Your AI features call Bedrock because we connected the endpoints to your VPC. Your bill makes sense because we tagged resources to the features that use them. We don’t consult on AWS — we operate on it.

1

Extraordinary people, exceptional outcomes

Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration. 

2

Deep technical expertise

We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.

3

Balancing innovation with practicality

We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.

4

Flexibility in our approach

We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.

Where our AWS engineering goes deep

Application Deployment & Containers

Deploy on ECS, Fargate, or App Runner with task definitions, scaling rules, and health checks matched to your traffic patterns.

Infrastructure-as-Code & Automation

Define your entire AWS environment in Terraform or CDK so every resource is versioned, reviewable, and reproducible across staging and production.

Database & Storage Configuration

Configure RDS, Aurora, or DynamoDB with failover, backups, read replicas, and connection pooling tuned to your application's query patterns.

AI & ML Infrastructure

Provision Bedrock endpoints, SageMaker hosting, and GPU instances connected to your existing VPC, IAM roles, and deployment pipeline.

Cost Visibility & Optimization

Tag resources by feature, right-size instances, set reserved capacity, and configure alerts so your spend is traceable and predictable.

Monitoring & Incident Response

Set up CloudWatch dashboards, structured logging, alerting rules, and runbooks so your team responds to real incidents, not noise.

The stack behind our AWS deployments

Compute & Container Services

Our engineers deploy your application on the compute layer that fits your scaling needs, from persistent containers to event-driven functions.

  • ECS & Fargate – Container orchestration with task definitions, service auto-scaling, and ALB integration for running Docker workloads without managing servers
  • Lambda – Serverless functions with SnapStart for fast cold starts, durable execution, and EventBridge triggers for event-driven workflows
  • App Runner – Simplified container deployment from source or image with automatic scaling, HTTPS, and load balancing for straightforward web services
  • EC2 – Compute instances for workloads that need persistent state, GPU access, or custom networking configurations beyond what containers provide
  • CloudFront – Edge distribution for static assets, API caching, and server-side rendering with sub-50ms latency at the edge
  • Elastic Load Balancing – Application and network load balancers with health checks, target groups, and path-based routing across your services

Database & Storage

Curotec configures managed databases and storage services tuned to your data model, query patterns, and availability requirements.

  • RDS – Managed PostgreSQL, MySQL, and SQL Server with automated backups, failover, read replicas, and parameter group tuning
  • Aurora – High-performance relational database with automatic storage scaling, global replication, and zero-ETL integration with Redshift
  • DynamoDB – NoSQL database with single-digit millisecond latency, auto-scaling capacity, and global tables for multi-region applications
  • ElastiCache – Managed Redis and Memcached for session storage, caching, and pub/sub messaging at the data layer
  • S3 – Object storage with lifecycle policies, versioning, cross-region replication, and presigned URLs for secure client-side uploads
  • OpenSearch – Managed Elasticsearch for full-text search, log analytics, and vector search in AI-powered retrieval pipelines

Networking & Security

Our developers configure VPCs, access controls, and secrets management so your infrastructure is isolated and secure by default.

  • VPC & Subnets – Network isolation with public/private subnets, NAT gateways, and security groups scoped to your application’s service boundaries
  • IAM – Role-based access with least-privilege policies, service-linked roles, and cross-account permissions for multi-environment setups
  • Secrets Manager – Encrypted credential storage with automatic rotation for database passwords, API keys, and third-party tokens
  • WAF & Shield – Web application firewall rules and DDoS protection configured per endpoint for public-facing APIs and web applications
  • ACM & Route 53 – TLS certificate management and DNS routing with health checks, failover policies, and latency-based routing
  • SSM Parameter Store – Centralized configuration management for environment variables, feature flags, and service endpoints across stages

AI & ML Services

We provision AI services and connect them to your VPC, IAM roles, and deployment pipelines alongside your existing application.

  • Bedrock – Managed access to foundation models from Anthropic, Meta, and Cohere with private networking and enterprise security controls
  • SageMaker – Model hosting with auto-scaling endpoints, built-in monitoring, and notebook environments for training and fine-tuning
  • Lambda for AI – Lightweight inference endpoints and RAG pipeline orchestration using serverless functions triggered by API Gateway or EventBridge
  • OpenSearch Vector Search – Vector similarity queries for retrieval-augmented generation alongside traditional full-text search in a single managed service
  • Step Functions – Workflow orchestration for multi-step AI pipelines with retry logic, parallel execution, and visual debugging
  • EventBridge – Event routing for triggering model inference, ingestion jobs, and evaluation pipelines based on application events

Infrastructure-as-Code & CI/CD

Curotec defines resources in code and deploys through automated pipelines so infrastructure is repeatable, auditable, and safe.

  • Terraform – Multi-cloud IaC with state management, plan/apply workflows, and modular configurations for your full AWS environment
  • AWS CDK – Infrastructure defined in TypeScript or Python with constructs that generate CloudFormation under the hood
  • CloudFormation – Native AWS provisioning with stack management, drift detection, and nested templates for complex architectures
  • GitHub Actions – CI workflows that build, test, and deploy to AWS on every pull request with environment-specific configurations
  • ECR – Private container registry for storing and scanning Docker images deployed to ECS, Fargate, and Lambda container targets
  • CodePipeline – Native AWS CI/CD with source, build, and deploy stages for teams standardized on AWS-native tooling

Monitoring & Observability

Our engineers configure monitoring that surfaces real incidents instead of flooding your team with noise from misconfigured alarms.

  • CloudWatch – Metrics, logs, alarms, and dashboards configured with actionable thresholds instead of default noise across your services
  • Datadog – APM tracing, infrastructure maps, and log management integrated with your AWS resources for full-stack observability
  • Prometheus – Time-series metrics collection for container workloads, custom application metrics, and alerting via Alertmanager
  • X-Ray – Distributed tracing across Lambda, ECS, and API Gateway to identify latency bottlenecks and failed service calls
  • CloudTrail – API activity logging for security auditing, compliance tracking, and investigating who changed what in your account
  • Cost Explorer & Budgets – Spend tracking by service, tag, and account with budget alerts and anomaly detection for unexpected cost spikes

FAQs about our AWS development services

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No. We migrate workloads incrementally — starting with the services that benefit most from managed infrastructure. Your application stays live throughout. We define the target architecture in Terraform so each phase is repeatable and reversible.

We tag every resource by feature and team, right-size instances based on actual utilization, configure reserved capacity where usage is predictable, and set budget alerts before spikes hit your invoice. Most teams see meaningful savings once spend is visible.

Yes. We audit what’s running, import existing resources into Terraform, and improve from there. We don’t require starting over. The goal is getting your current infrastructure under code and monitoring without disrupting what already serves your customers.

Yes. We provision Bedrock endpoints, SageMaker hosting, and GPU instances connected to your existing VPC and IAM structure. Your AI infrastructure deploys through the same pipeline as your application instead of running as a separate account or project.

We write the Terraform, document the modules, and walk your engineers through the patterns. Pull requests show exactly what changes before anything applies. Your team learns IaC by reviewing real infrastructure changes, not reading documentation.

CloudWatch configured with actionable thresholds, not defaults. Datadog for APM if your application needs deeper tracing. CloudTrail for audit logs. Cost Explorer with anomaly alerts. We set up monitoring that surfaces real problems instead of generating noise your team ignores.

Ready to have a conversation?

We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.

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