Cloud architecture that performs
Multi-cloud strategy, migration execution, and FinOps cost governance — certified across Azure, AWS, and GCP with 50+ successful migrations.
Cloud done right — performance, cost, and governance
Cloud engineering and FinOps services encompass multi-cloud architecture design, migration planning and execution, cost governance automation, and infrastructure optimization across Azure, AWS, and GCP. With 50+ successful migrations and 40% average cost savings, every workload lands on the right platform based on technical requirements — not vendor lock-in or sales incentives.
Our FinOps practice embeds cost governance into your engineering culture. Real-time spend visibility, automated rightsizing, reserved instance optimization, and showback models that make cloud costs transparent to every team.
Certified architects across Azure, AWS, and GCP — we bring deep platform expertise with the objectivity to recommend the right tool for each workload, including hybrid and multi-cloud patterns that maximize flexibility.
Complete cloud lifecycle services
From strategy through optimization — every phase of your cloud journey with certified expertise.
Cloud Strategy
Workload assessment, TCO analysis, platform selection, and migration roadmaps. Data-driven recommendations that balance performance, cost, and organizational readiness.
Migration & Modernization
Lift-and-shift, re-platform, and re-architect strategies. Zero-downtime migration with automated testing, validation, and rollback capabilities for critical workloads.
FinOps & Cost Governance
Real-time spend analytics, automated rightsizing, RI/SP optimization, and anomaly detection. Showback models and tagging strategies that drive accountability across teams.
Security & Compliance
Zero-trust architecture, identity federation, encryption at rest and in transit. SOC2, HIPAA, PCI-DSS, and ISO 27001 compliance automation with continuous monitoring.
Kubernetes & Containers
AKS, EKS, and GKE design and operations. Service mesh, auto-scaling, multi-cluster federation, and GitOps deployment patterns for microservices at scale.
Serverless & Event-Driven
Lambda, Azure Functions, and Cloud Run architectures. Event-driven patterns with managed services that eliminate operational overhead and scale to zero when idle.
From assessment to optimized cloud
A structured migration and optimization methodology proven across 50+ enterprise migrations.
Assess
Inventory workloads, analyze dependencies, calculate TCO, and identify migration waves. Output: cloud strategy document with platform recommendations and business case.
Architect
Design target architecture, landing zones, networking, security controls, and governance framework. Define FinOps operating model and cost allocation strategy.
Migrate
Execute migration waves with automated tooling. Parallel run validation, performance benchmarking, and zero-downtime cutover for production workloads.
Optimize
Rightsizing, reserved capacity planning, spot/preemptible workload scheduling, and architecture refinement based on production telemetry data.
Govern
Continuous cost monitoring, policy enforcement, compliance scanning, and automated remediation. Monthly optimization reviews with measurable savings targets.
Cloud & FinOps Impact
Frequently asked questions
Cloud engineering and FinOps services encompass multi-cloud architecture design, migration planning and execution, cost governance automation, and infrastructure optimization across Azure, AWS, and GCP. Maharadha has completed 50+ successful migrations with 40% average cost savings and 99.99% uptime SLA.
FinOps is a cloud financial management discipline that combines real-time spend analytics, automated rightsizing, reserved instance and savings plan optimization, and anomaly detection. By embedding cost governance into engineering culture with showback models and tagging strategies, organizations typically achieve 40% or greater cost savings while maintaining performance.
Our multi-cloud approach places each workload on the optimal platform based on technical requirements — not vendor lock-in or sales incentives. We assess performance needs, compliance constraints, cost profiles, and organizational readiness to recommend Azure, AWS, GCP, or hybrid patterns that maximize flexibility and minimize risk.
A typical cloud migration wave completes in approximately 72 hours with zero-downtime cutover for production workloads. End-to-end migration programs span 8—16 weeks depending on complexity, covering assessment, architecture design, execution, validation, and optimization phases across multiple migration waves.
Maharadha maintains certified architects across all three major cloud platforms: Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). We also support hybrid and multi-cloud patterns, Kubernetes (AKS, EKS, GKE), serverless architectures, and event-driven designs across all providers.
Ready to optimize your cloud?
Whether you're migrating, optimizing costs, or building multi-cloud — we'll deliver measurable results in weeks, not months.