Google Cloud Services in Nepal

We implement GCP cost management as a built-in part of every infrastructure design — through right-sized Cloud Run instance configurations, committed use discounts for predictable workloads, Cloud Storage lifecycle policies to automatically move infrequently accessed data to cheaper storage classes, BigQuery slot reservations for consistent analytics workloads, budget alerts through Cloud Billing, and regular cost reviews using the GCP Cost Table to identify and eliminate wasteful resource usage before it compounds into significant monthly spend.

We manage GCP infrastructure using Terraform as our primary infrastructure-as-code tool — writing modular Terraform configurations for every GCP resource, storing state in Google Cloud Storage with state locking, implementing environment-specific configurations for development, staging, and production, and integrating Terraform plans and applies into Cloud Build pipelines for automated, version-controlled infrastructure deployments.

We build CI/CD pipelines using Cloud Build — triggering builds from GitHub or Cloud Source Repositories on pull request and merge events, running automated tests in containerized build steps, building and pushing Docker images to Artifact Registry, deploying to Cloud Run or GKE with traffic splitting for gradual rollouts, and implementing approval gates for production deployments that require human review before traffic is shifted.

Initial GCP infrastructure setup and application deployment engagements usually start with a 2–4 week focused cycle. Larger cloud migrations, GKE 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 GCP’s Well-Architected Framework principles across reliability, security, performance, and cost optimization, enforce infrastructure-as-code for all resource provisioning through Terraform, implement comprehensive Cloud Monitoring dashboards and alerting policies for every production service, conduct regular security posture reviews using Security Command Center, perform load testing before major traffic events, and document all architecture decisions with clear rationale for future infrastructure evolution.

Yes. We stay involved after launch for infrastructure scaling, cost optimization, security patching, GCP service upgrades, performance tuning, new service integrations, 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 GCP project — through least-privilege IAM role assignments with no overly broad primitive roles, VPC Service Controls to restrict GCP API access to trusted networks, Private Google Access for services communicating within VPC without public internet exposure, Secret Manager for all sensitive credentials and API keys instead of environment variables in container images, Cloud Armor WAF rules for protecting public-facing applications from DDoS and OWASP Top 10 attacks, Binary Authorization for ensuring only verified container images are deployed to GKE and Cloud Run, organization policy constraints preventing accidental public bucket exposure, Cloud Audit Logs for comprehensive activity tracking across all GCP services, and regular vulnerability scanning of container images using Artifact Analysis before production deployment.