Cloud & AWS Architecture

Cloud that scales without surprises

We design AWS architectures that are resilient, observable, and cost-efficient — not over-engineered monoliths or fragile one-liners. Every deployment comes with monitoring, alerting, and infrastructure-as-code so your stack is reproducible and auditable.

AWS services we work with

• Lambda — serverless Python functions with event-driven triggers, SQS, and S3 notifications
• EC2 and ECS — containerised workloads with Docker, auto-scaling groups, and load balancers
• SQS — reliable message queues for async job processing and service decoupling
• SNS — notification systems, fan-out messaging, and alert routing
• SES — transactional email infrastructure with bounce and complaint handling
• S3 and ECR — object storage, static assets, and container registry management
• OpenSearch — full-text and semantic search infrastructure
• Route 53 — DNS management, health checks, and failover routing
• CloudWatch — custom metrics, dashboards, log insights, and alarms
• SageMaker — ML model hosting and inference with open-source models
• Terraform — infrastructure as code, version-controlled and peer-reviewed

GCP and Azure

Beyond AWS, we have hands-on experience with Google Cloud Platform including Vertex AI, GCP prediction batches, and Cloud Storage. We can architect multi-cloud setups or migrate between providers as your needs evolve.

DevOps and CI/CD

Cloud delivery without CI/CD is just a manual deployment with extra steps. We configure GitHub Actions and CircleCI pipelines that build, test, and deploy automatically — including Docker image builds to ECR and zero-downtime Lambda deployments.