Backend & Cloud
AWS & Google Cloud Development
Enterprise-grade cloud infrastructure built for scale, security, and cost control. From serverless to containers, we design reliable AWS/GCP architectures that stay fast under load—and easy to maintain for your team.
Benefits
What you get
Serverless + event-driven systems (Lambda / Cloud Functions)
Containers at scale (ECS / EKS / GKE / Cloud Run)
Production networking (VPC, subnets, NAT, peering, private access)
Managed databases + caching (RDS / Cloud SQL / DynamoDB / Redis)
CI/CD + IaC (Terraform / CDK) with safe rollbacks
Observability + cost controls (logs, metrics, alerts, budgets)
Features
What we deliver
Serverless & Event-Driven Architecture
Build scalable APIs and background jobs with queues, events, cron schedules, and retries—pay-per-use with automatic scaling.
Containers & Microservices
Run services on ECS/EKS/GKE/Cloud Run with autoscaling, health checks, rolling deploys, and zero-downtime releases.
Cloud Networking & Zero-Trust Security
VPC design, private subnets, security groups, WAF, secrets management, and least-privilege IAM—built for real production threats.
Data Layer (DB, Cache, Storage)
Reliable database setups with backups, read replicas, migrations, and performance tuning—plus Redis caching and object storage/CDN.
Infrastructure as Code
Terraform/CDK deployments that are version-controlled, repeatable, and reviewable—no click-ops, fewer production surprises.
Observability, SRE & FinOps
Dashboards, alerts, tracing, error reporting, and cost guardrails (budgets, tagging, right-sizing) so ops stays predictable.
Process
How we work
Discovery
Requirements gathering and planning
Design
UI/UX design and prototyping
Development
Iterative sprints with demos
Launch
Deployment and support
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Startup Infrastructure
Start lean with serverless + managed services, then evolve into containers/microservices as product and traffic grow.
Cloud Migration
Move from shared hosting/on-prem to AWS/GCP with minimal downtime—improve reliability, security posture, and deployment speed.
Enterprise Cloud & Compliance
Multi-account/project setups, audit trails, least-privilege IAM, encryption, and patterns that support SOC 2 / HIPAA-style requirements.
Rescue & Optimization
Fix latency spikes, stabilize deployments, reduce cloud waste, and harden security—without blocking ongoing product work.
Decision Guides
Not sure which to choose?
FAQ
Frequently asked questions
AWS is the broadest ecosystem and common enterprise default. GCP shines for Kubernetes (GKE), data/analytics, and some AI workflows. We typically choose based on your team comfort, region needs, compliance, and total cost profile.
We implement least-privilege IAM, private networking, secret management, encryption in transit/at rest, WAF rules, audit logs, and baseline hardening. We also review threat paths (public buckets, overly broad roles, insecure APIs).
We design with FinOps in mind: right-sizing, autoscaling, caching, minimizing NAT/egress surprises, budgets + alerts, and tagging. We also identify waste (idle resources, oversized DBs, noisy logs) and fix it systematically.
We use multi-AZ deployments, load balancing, managed DB failover, backups + restore drills, and optional multi-region strategies depending on your RTO/RPO requirements.
Yes—GitHub Actions pipelines with environment separation, automated tests, approvals, and deployment strategies like rolling or blue/green with quick rollback paths.
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