We design, build, and manage cloud infrastructure that scales. architects, zero-downtime deployments, automated pipelines, and 99.9% uptime SLAs.
Design scalable AWS architecture or migrate your existing infrastructure. EC2, RDS, S3, Lambda, CloudFront — designed for performance, security, and cost efficiency.
Automated testing and deployment pipelines using GitHub Actions, GitLab CI, Jenkins, or CircleCI. Every commit tested and deployed automatically — no manual deployments.
Containerize your applications for consistency and portability. Kubernetes orchestration for auto-scaling, self-healing, and zero-downtime rolling deployments.
Terraform and AWS CloudFormation to define your entire infrastructure in code. Reproducible, version-controlled, and disaster-recovery ready.
AWS CloudWatch, Datadog, Grafana, and Prometheus setup. Know about problems before your users do — real-time alerts, dashboards, and log aggregation.
Average client saves 30–40% on AWS bills after our audit. Right-sizing, reserved instances, spot instances, and eliminating unused resources. ROI guaranteed.
We audit your existing setup — security vulnerabilities, performance bottlenecks, cost inefficiencies, and scalability gaps. Detailed report with prioritized recommendations.
Design your target AWS architecture with security, cost, and scalability built in from the start. Diagrams, cost estimates, and migration plan.
Zero-downtime migration in stages. Never “big bang” migrations that risk production outages. Your users notice nothing during the migration.
Set up full deployment automation — code commit triggers tests → staging deploy → manual approval → production deploy. Developers ship 10x faster.
Set up monitoring, alerting, and runbooks. Train your team on the new infrastructure. Ongoing support available via retainer or on-demand.
Yes. Vedhin Technology works with AWS, Google Cloud, and Azure. Our team follows cloud best practices including the Well-Architected Framework for security, reliability, performance, cost optimization, and operational excellence.
Yes — this is one of our most common engagements. We migrate from any hosting (cPanel, DigitalOcean, Linode, Heroku, etc.) to AWS. We do it with zero downtime using a blue-green deployment approach. After migration, you typically see 3–10x performance improvement and 20–40% cost reduction.
AWS costs vary massively by workload. A typical small web app: $50–$200/month. A medium-traffic SaaS: $500–$2,000/month. We always provide a detailed AWS cost estimate before starting any infrastructure work, and we design for cost efficiency from day one.
Yes. We have Kubernetes experts who can set up EKS (Amazon Elastic Kubernetes Service), configure deployments, services, ingress, auto-scaling, and monitoring. We also train your team on Kubernetes operations so you’re not dependent on us forever.
For managed infrastructure engagements, we target 99.9% uptime (8.7 hours downtime/year max). We set up multi-AZ deployments, auto-scaling groups, health checks, and automated failover to achieve this. We also set up 24/7 alerting so issues are caught within minutes.
Our primary expertise is AWS (certified). We have working experience with Azure and GCP as well, particularly for multi-cloud setups. If you’re already on Azure or GCP, we can work with it — but for greenfield projects, we recommend AWS for its breadth of services and our deepest expertise.
Very likely yes. Our cost optimization audit typically finds 25–45% savings through right-sizing (many teams massively over-provision), purchasing Reserved Instances for predictable workloads, using Spot Instances for batch jobs, eliminating zombie resources, and using CloudFront for content delivery instead of serving everything from EC2.
Moving to the cloud or optimising your existing setup requires a methodical approach. Here is how we handle it.
We start by analysing your current infrastructure — server configurations, deployment processes, monitoring gaps, security vulnerabilities, and cost inefficiencies. Most businesses we audit are overspending by 30 to 50 percent on cloud resources because of over-provisioned instances, unused storage volumes, and unoptimised database configurations. Our audit report includes specific recommendations with estimated cost savings and a prioritised implementation plan.
Based on the audit findings, we design a cloud architecture that balances performance, reliability, security, and cost. We use infrastructure-as-code tools like Terraform and CloudFormation to define your entire infrastructure in version-controlled configuration files. This means your infrastructure is reproducible, auditable, and can be spun up in a new region within minutes if needed. We also design disaster recovery and backup strategies appropriate to your business criticality.
Whether you are moving from on-premises servers, switching cloud providers, or containerising a monolithic application, we handle the migration with minimal downtime. Our team has migrated databases with terabytes of data, legacy applications with decades of business logic, and real-time systems that cannot afford even seconds of interruption. We use blue-green deployments, database replication, and gradual traffic shifting to ensure smooth transitions.
After deployment, we set up comprehensive monitoring using tools like Prometheus, Grafana, CloudWatch, and PagerDuty. You get real-time dashboards showing application health, infrastructure metrics, error rates, and cost trends. We configure intelligent alerting that notifies your team about genuine issues without drowning you in false alarms. Our ongoing optimisation reviews identify new cost-saving opportunities as your usage patterns evolve.
AWS is our most recommended provider for most use cases due to its breadth of services, reliability, and mature ecosystem. Google Cloud Platform excels for data-heavy workloads and machine learning projects. Azure is ideal if your organisation already uses Microsoft tools and Active Directory. We help you choose based on your specific technical requirements, existing tools, team expertise, and budget constraints rather than pushing a one-size-fits-all solution.
Based on our past audits, most businesses save between 25 and 50 percent on their monthly cloud bill after our optimisation. Common savings come from right-sizing instances, using reserved or spot instances for predictable workloads, implementing auto-scaling to avoid paying for idle capacity, and cleaning up orphaned resources like unused EBS volumes and old snapshots. We helped one client reduce their AWS bill from $8,000 per month to $3,200 per month without any performance degradation.
Yes, our managed cloud plans include 24/7 automated monitoring with escalation procedures. Critical alerts are handled within 15 minutes, and we provide a dedicated Slack channel for real-time communication. Our team is distributed across Indian and US time zones, which means there is always someone available to respond to infrastructure emergencies.
