Service · Cloud Infrastructure

AWS Cloud Engineering Services

End-to-end AWS cloud architecture with Infrastructure as Code, Docker, Kubernetes, and automated CI/CD pipelines. Built for 99.9% uptime and cost efficiency from day one.

99.9%
uptime delivered
60%
avg cost reduction
$35/hr
starting rate

What is Cloud Engineering?

Cloud engineering is the design, implementation, and management of cloud-based infrastructure that powers modern applications. On AWS, this means selecting the right combination of compute, storage, networking, and managed services — then automating the entire infrastructure lifecycle so deployments are repeatable, rollbacks are instant, and costs are controlled.

Done correctly, cloud engineering gives startups and businesses enterprise-grade reliability without enterprise-level overhead. A well-architected AWS setup handles traffic spikes automatically, recovers from failures without human intervention, and scales from 100 to 10 million users on the same infrastructure.

What's Included

  • AWS architecture design and multi-region setup
  • Infrastructure as Code with Terraform (fully version-controlled)
  • Docker containerization and ECS/EKS orchestration
  • Kubernetes cluster management and Helm chart deployment
  • CI/CD pipeline automation (GitHub Actions, CodePipeline)
  • Auto-scaling groups and load balancer configuration
  • RDS/Aurora database setup with Multi-AZ failover
  • CloudWatch monitoring, alerting, and cost dashboards
  • VPC network design, security groups, and IAM policies
  • AWS cost audit and optimization (average 60% reduction)

Technology Stack

AWS EC2AWS LambdaAWS RDSAWS S3AWS ECS/EKSAWS KinesisCloudWatchTerraformDockerKubernetesGitHub ActionsNginx

Engineering Process

  1. 01
    Architecture Review
    Assess current infrastructure (or design from scratch). Define availability requirements, data residency needs, cost targets, and compliance constraints.
  2. 02
    Infrastructure Design
    Design VPC layout, service topology, database strategy, storage architecture, and network security. Produce architecture diagram for review.
  3. 03
    Terraform Development
    Write all infrastructure as Terraform modules. Separate dev/staging/prod environments with shared state management (S3 + DynamoDB lock).
  4. 04
    CI/CD & Automation
    Build deployment pipelines with automated testing, zero-downtime blue/green deploys, rollback capability, and environment promotion workflows.
  5. 05
    Monitoring & Handover
    Configure CloudWatch dashboards, cost alerts, anomaly detection, and PagerDuty/Slack alerting. Full runbook documentation for your team.

Case Study: CloudOps Automation Suite

Problem
Client was manually managing multi-region AWS infrastructure, spending 20+ hours/week on deployments and paying $20K+/month in cloud costs due to over-provisioned resources and no auto-scaling.
Solution
Built a full infrastructure-as-code platform with GitOps workflows using Terraform, automated scaling policies, real-time cost monitoring dashboards, and a CI/CD pipeline with blue/green deployments.
Technology Used
Terraform · AWS Lambda · EC2 Auto Scaling · CloudWatch · Python · Docker · GitHub Actions · Grafana
Business Impact
80%
Deploy Time Saved
$12K
Monthly Savings
50+
Automated Workflows

Frequently Asked Questions

When should a startup use AWS for their infrastructure?

A startup should move to AWS when: (1) your application needs reliable uptime and you cannot afford server management downtime, (2) you are experiencing traffic spikes that require auto-scaling, (3) you need compliance certifications (SOC 2, HIPAA, GDPR) that AWS facilitates, (4) your team needs managed database services (RDS, Aurora) to avoid DBA overhead, or (5) you are building data-intensive features requiring S3, Kinesis, or SageMaker. Early-stage startups with low traffic can start on Vercel or Railway, then migrate to AWS as they scale.

What is Infrastructure as Code and why does it matter?

Infrastructure as Code (IaC) is the practice of managing and provisioning cloud infrastructure through machine-readable configuration files rather than manual processes. Terraform (the most widely used IaC tool) lets you define your entire AWS infrastructure — EC2 instances, VPCs, RDS databases, S3 buckets, IAM roles — in version-controlled code. This means: infrastructure changes are reviewed like code changes, environments are reproducible (no "works on staging, broken on prod"), rollbacks are possible, and onboarding new engineers is faster. IaC is essential for any production system.

What is the difference between AWS EC2 and AWS Lambda?

AWS EC2 (Elastic Compute Cloud) provides virtual servers that run continuously. You control the OS, runtime, and scaling. EC2 is best for long-running processes, stateful applications, and workloads requiring predictable, consistent performance. AWS Lambda is a serverless compute service that runs code in response to events and automatically scales to zero when idle. Lambda is best for event-driven workloads, API backends with variable traffic, scheduled jobs, and data processing pipelines where you only pay for actual execution time. Most modern architectures use both: EC2 or ECS for core services, Lambda for event-driven tasks.

How much does AWS cloud infrastructure setup cost?

AWS infrastructure setup at Navspace starts at $35/hr. A basic production setup (VPC, EC2 or ECS, RDS, S3, CloudFront, basic monitoring) typically costs $1,500-$3,000 in setup fees. Comprehensive infrastructure with multi-region redundancy, Kubernetes (EKS), full IaC in Terraform, CI/CD pipelines, and security hardening ranges from $4,000 to $10,000. Monthly AWS costs depend on your traffic and services — most early-stage SaaS products run for $150-$500/month on AWS. We also specialize in cost optimization, with an average 60% reduction in existing AWS bills.

How is 99.9% uptime achieved on AWS?

99.9% uptime (approximately 8.7 hours of downtime per year) is achieved through: multi-AZ (Availability Zone) deployments so a single data center failure does not bring down your service, auto-scaling groups that replace failed instances automatically, RDS Multi-AZ for database failover, health checks with Application Load Balancers, blue/green deployments for zero-downtime releases, and CloudWatch alarms with automated recovery actions. 99.99% uptime (52 minutes/year) requires multi-region active-active architecture, which is significantly more complex and expensive.

What AWS certifications or compliance standards do you support?

The AWS architectures built by Navspace are designed with security best practices that support common compliance requirements including SOC 2 Type II, HIPAA (healthcare data), GDPR (EU data privacy), and PCI DSS (payment card data). This includes: VPC network isolation, encryption at rest (RDS, S3) and in transit (TLS), IAM least-privilege access policies, CloudTrail audit logging, GuardDuty threat detection, and AWS Config compliance rules. Specific compliance certification requires additional documentation and audit work beyond infrastructure setup.

Ready to Build Production Cloud Infrastructure?

Starting at $35/hr. Free architecture consultation for new projects.

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