AWS Cloud Services in Nepal

We implement AWS cost management as a built-in part of every infrastructure design — through right-sized instance selections using AWS Compute Optimizer recommendations, Reserved Instance or Savings Plans commitments for predictable workloads, Spot Instance usage for fault-tolerant batch and worker workloads, S3 Intelligent-Tiering for automatic storage class optimization, RDS instance scheduling for non-production environments, AWS Budgets alerts for proactive spend monitoring, and regular Cost Explorer reviews to identify idle resources, underutilized instances, and unexpected data transfer charges before they compound into significant monthly bills.

We manage AWS infrastructure using Terraform as our primary infrastructure-as-code tool — writing modular Terraform configurations for every AWS resource organized by environment and service domain, storing Terraform state in S3 with DynamoDB state locking, implementing workspace-based environment separation for development, staging, and production, and integrating Terraform plan and apply steps into CodePipeline for automated, version-controlled infrastructure deployments with human approval gates before production changes are applied.

We build CI/CD pipelines using AWS CodePipeline with CodeBuild for build execution and CodeDeploy for application deployments — triggering pipelines from GitHub or CodeCommit on pull request and merge events, running automated tests and security scans in CodeBuild build stages, building and pushing Docker images to ECR, deploying to ECS Fargate with blue/green deployment strategies for zero-downtime releases, and implementing manual approval actions before production deployments that require human review.

Initial AWS infrastructure setup and application deployment engagements usually start with a 2–4 week focused cycle. Larger cloud migrations, EKS cluster setups, and ongoing infrastructure optimization evolve continuously as your application traffic and data requirements grow.

We keep communication structured through clear updates, documented progress, and direct developer access when needed. You always know what is being worked on and what comes next.

We follow AWS Well-Architected Framework principles across all five pillars — operational excellence, security, reliability, performance efficiency, and cost optimization — enforce infrastructure-as-code for all resource provisioning through Terraform, implement comprehensive CloudWatch dashboards and alarm policies for every production service, conduct regular AWS Trusted Advisor reviews for security and cost recommendations, perform load testing with AWS distributed load testing solutions before major traffic events, and document all architecture decisions using Architecture Decision Records for future infrastructure evolution and team knowledge transfer.

Yes. We stay involved after launch for infrastructure scaling, cost optimization, security patching, AWS service upgrades, performance tuning, new service integrations, disaster recovery testing, and cloud architecture evolution as your application traffic, data volumes, and product complexity grow over time.

Pricing depends on scope, complexity, and engagement type. We typically work with fixed-scope infrastructure setup engagements or ongoing cloud management retainers instead of rigid hourly models.

Yes. Security is built into every AWS project — through least-privilege IAM policies following the principle of minimum necessary permissions with no wildcard actions on sensitive services, VPC network isolation with private subnets for databases and application servers, Security Groups and Network ACLs as layered network controls, AWS Secrets Manager for all sensitive credentials and API keys instead of hardcoded environment variables, AWS WAF rules on CloudFront and Application Load Balancers for OWASP Top 10 protection and DDoS mitigation, GuardDuty for continuous threat detection across AWS account activity, Security Hub for centralized security posture management and compliance checking, CloudTrail for comprehensive API activity logging across all AWS services, KMS for encryption key management applied to RDS, S3, and EBS volumes, and regular automated vulnerability scanning of container images using Amazon Inspector before production deployment.