Cloud Architecture & DevOps Consulting Services

Whether you are migrating from on-premises infrastructure, optimising an existing cloud environment that has grown organically without proper architecture, or building a new platform from scratch to support AI workloads, RAVIM's cloud architects and DevOps engineers deliver infrastructure that is secure, cost-efficient, and purpose-built for the demands of modern software delivery.

Too many cloud environments suffer from the same problems: oversized instances burning budget, manual deployments that are slow and error-prone, insufficient monitoring that leaves teams blind to performance issues, and security configurations that were set once and never reviewed. We fix these problems systematically — applying infrastructure as code, automated CI/CD pipelines, container orchestration, and proactive monitoring to create an environment your team can rely on and your business can grow with.

What We Deliver

• A cloud architecture designed for your workload and budget
• Infrastructure as code, so environments are reproducible
• CI/CD pipelines with automated testing and staged rollout
• Monitoring, alerting and cost controls from day one
• A documented operational handover

Our Approach

Infrastructure Assessment

We start by auditing your current infrastructure — whether on-premises, cloud, or hybrid. We evaluate architecture, security posture, cost efficiency, deployment processes, and monitoring coverage. This assessment identifies specific areas for improvement and forms the basis of our recommendations. For greenfield projects, we focus on understanding your workload requirements, scalability needs, and compliance constraints.

Architecture & Pipeline Design

Based on the assessment, we design a target-state architecture and DevOps pipeline strategy. This includes infrastructure blueprints, CI/CD pipeline definitions, container strategies, monitoring and alerting plans, and a security architecture. We present the design for your team's review and refine it based on feedback before moving to implementation.

Migration & Optimisation

We implement the architecture incrementally — migrating workloads, setting up CI/CD pipelines, deploying monitoring, and hardening security. For migrations, we follow a phased approach that minimises downtime and risk. After go-live, we optimise performance and costs based on real usage data. Our handover includes thorough documentation and training so your team can manage the environment independently.

Technologies We Use

• Cloud & runtime Where it runs, and how it scales.
  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes
• Orchestration & automation How the steps are wired together.
  • Terraform
  • GitHub Actions
• Measurement & analysis How we know it is working.
  • Prometheus
  • Grafana

Frequently Asked Questions

The right cloud platform depends on your existing technology stack, team expertise, compliance requirements, and specific workload needs. AWS offers the broadest service catalogue and is strong for general-purpose workloads. Azure integrates deeply with Microsoft ecosystems and is often the best choice for organisations using .NET, Active Directory, or Microsoft 365. GCP excels in data analytics and machine learning workloads. We assess your specific requirements during the discovery phase and recommend the platform — or multi-cloud approach — that best fits your needs.

A cloud migration timeline depends on the number and complexity of workloads being migrated. A focused migration of a few applications typically takes 6 to 12 weeks. A comprehensive enterprise migration involving dozens of services, data migration, and re-architecting for cloud-native patterns can take 3 to 9 months. We always recommend an incremental approach — migrating the least risky workloads first to build confidence and identify patterns before tackling more complex systems.

Yes. Cloud cost optimisation is a core part of our service. Many organisations overspend on cloud infrastructure due to oversized instances, unused resources, lack of auto-scaling, or inefficient architectures. We conduct a thorough cost audit that identifies specific savings opportunities — typically reducing cloud spend by 20 to 40 percent without impacting performance. We also implement ongoing cost monitoring and alerting to prevent cost drift over time.

Infrastructure as Code (IaC) means defining your cloud infrastructure — servers, databases, networking, security rules — in code files rather than configuring them manually through cloud provider consoles. This matters because it makes your infrastructure reproducible, version-controlled, and auditable. If something goes wrong, you can rebuild your entire environment from code in minutes. It also eliminates configuration drift and enables consistent deployments across development, staging, and production environments.

Yes. We offer flexible post-deployment support plans that include infrastructure monitoring, incident response, performance optimisation, security patching, and cost management. We can serve as your dedicated cloud operations team or work alongside your internal team to provide specialist expertise when needed. Our support plans are designed to scale with your needs as your cloud environment grows and your workloads evolve.