Cloud Infrastructure Services

🤖AI-Ready Cloud Infrastructure & Integration

We build the secure cloud systems that AI-enabled features depend on and integrate those features into existing products, applications, and business workflows.

Our work focuses on the infrastructure surrounding the AI model; including APIs, data storage, retrieval, authentication, deployment, monitoring, and cost control.

What’s included :

• AI and model-provider integration: For chat, search, document processing, RAG, and automation workflows
• Backend infrastructure for APIs, compute, networking, storage, databases, and access control
• Secure document ingestion, storage, indexing, and retrieval
• Vector-search and knowledge-retrieval infrastructure when required
• CloudWatch logging, alarms, audit trails, rate controls, and cost guardrails
• Terraform infrastructure and GitLab CI/CD deployment workflows
• Documentation and operational handoff

Best for companies that need to :

• Add AI-enabled features to an existing software product
• Build a private knowledge system over internal documents
• Connect an application to an external AI or model provider
• Improve the security, reliability, or cost control around an existing AI workflow

🛠️AWS Infrastructure Builds & Migrations

We design, deploy, and migrate AWS infrastructure using repeatable Terraform configurations and clearly documented architecture.

What’s included :

• VPCs, public and private subnets, routing, NAT, and security groups
• ECS Fargate container environments and application networking
• Lambda and API Gateway serverless backends
• Amazon RDS and PostgreSQL database architecture
• S3, CloudFront, ACM, and Route 53 hosting environments
• Development, staging, and production environment design
• Migration planning, cutover support, testing, and validation
• Terraform remote state, reusable modules, and infrastructure documentation

📊Cloud Backends, APIs & Data Systems

API • Database • UI – shipped as one working system. We fix what’s broken and build what’s missing across API, database, and UI — so the whole system works, not just one piece.

• API design, integration, and troubleshooting
• Serverless and container-based backend services
• PostgreSQL and relational database integration
• Document-upload and processing workflows
• Data ingestion, transformation, validation, and retrieval pipelines
• Frontend-to-backend connection troubleshooting
• Authentication, permissions, secrets, and environment configuration
• Logging, error handling, testing, and rollback documentation

User-interface work can also be supported when it is required to complete or repair the broader cloud-backed system.

🔐Cloud Security, Logging & Monitoring

We strengthen AWS environments by reducing unnecessary exposure, improving visibility, and creating practical alerts for important operational and security events.

What’s included :

• IAM reviews and least-privilege access controls
• Encryption for stored data, credentials, and sensitive documents
• Centralized CloudTrail logging and protected log storage
• CloudWatch logs, metrics, dashboards, and alarms
• SNS and EventBridge security notifications
• Security Hub, GuardDuty, AWS Config, and audit-trail foundations
• Secrets Manager and secure credential handling
• Exposure reduction for databases, containers, APIs, and storage
• Operational runbooks and incident-response documentation

⚙️ CI/CD & Infrastructure Automation

Repeatable workflows that validate changes and reduce deployment risk.

• GitLab pipelines for applications, containers, Lambda functions, and Terraform
• Automated formatting, validation, testing, and build stages
• Docker image creation and Amazon ECR publishing
• ECS Fargate and serverless deployment workflows
• Development, staging, and production deployment patterns
• Manual approval and promotion controls when required
• Artifact handling, caching, and pipeline optimization
• Deployment logs, rollback guidance, and operational visibility

🆘Troubleshooting & Cloud Rescue

We diagnose and repair broken AWS environments, failed deployments, unstable services, and cloud systems that are difficult to operate or understand.

Common issues we handle :

• ECS tasks that fail to start or remain healthy
• Broken GitLab pipelines and failed deployments
• IAM permission and access-control errors
• VPC, subnet, DNS, routing, and connectivity problems
• API, Lambda, database, and application connection failures
• Missing logs, alarms, dashboards, and operational visibility
• Terraform state, configuration, and deployment problems
• Unexpected AWS cost increases and unnecessary cloud resources
• Incomplete documentation and fragile manual processes

✅ Engagement Options

Choose the engagement model that best matches the problem, timeline, and level of ongoing support required.

Rescue & Troubleshooting Sprint:

A focused, time-boxed engagement for diagnosing and resolving a specific cloud or deployment issue.

Typical examples include a broken pipeline, an unhealthy ECS service, an IAM failure, a database connection problem, or an unexpected AWS cost increase.

Fixed-Scope Build or Migration:

A defined project with agreed deliverables, responsibilities, and milestones.

Typical examples include building an ECS environment, creating a serverless backend, establishing a CI/CD pipeline, migrating a workload into AWS, or implementing a monitoring and security foundation.

🩺Monthly Infrastructure Support

Choose the engagement model that best matches the problem, timeline, and level of ongoing support required.

• Infrastructure maintenance and improvements
• Deployment and pipeline support
• Troubleshooting and incident assistance
• Monitoring and security reviews
• Cost and resource optimization
• Small infrastructure changes
• Documentation and operational guidance

Monthly coverage is structured according to the number of environments, expected workload, support window, and response priorities.

🚧 How we work

A structured process keeps the work secure, visible, and easy to hand off.

Step 1 — Discovery and Scoping :

We review the current environment, business goal, technical problem, and expected outcome.

Step 2 — Scope and Agreement :

You receive a defined scope, engagement structure, responsibilities, deliverables, and pricing.

Step 3 — Secure Access :

Access is provided through least-privilege AWS roles and approved credentials. Root credentials and shared passwords are not used.

Step 4 — Build, Repair, or Migrate :

The agreed work is completed with regular communication, documented changes, and validation throughout the engagement.

For ongoing support, requests are tracked and prioritized through a ticket-based workflow.

Step 5 — Validation and Handoff :

We validate the completed system and provide the appropriate documentation, runbooks, deployment instructions, and rollback guidance.

Temporary access is removed after one-time engagements unless continued access is part of an active support agreement.

Request an Infrastructure Review

Tell us what is failing, what you need built, or what your company is preparing to scale.

LuxBMI Cloud Systems will review your goals and respond with recommended next steps, the most appropriate engagement model, and pricing.