Cloud & DevOps Engineering
Faster deployments. Zero downtime. Lower costs.
End-to-end cloud migration, architecture, and CI/CD automation across AWS, Azure, GCP, and OCI. From Platform Engineering and GitOps to FinOps and full-stack observability — we've delivered 99.99% uptime for enterprises processing millions of daily transactions.
What We Deliver
Core Capabilities
- Cloud Migration & Architecture
- Platform Engineering & Internal Developer Platforms
- CI/CD & GitOps Implementation (Argo CD, Flux)
- Infrastructure as Code (Terraform, Pulumi)
- Observability — OpenTelemetry, Metrics & Distributed Tracing
- FinOps & Multi-Cloud Cost Optimisation
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By the Numbers
What clients achieve with GYSP
identified and recovered within 90 days of a FinOps engagement — without a re-architecture project
for enterprise clients processing millions of daily transactions across multi-region deployments
after Platform Engineering implementation — same team, same headcount, faster delivery
Proven Results
Cloud & DevOps Case Studies
Telecom5G Telecom Giant, Thailand
A national 5G telecom leader in Thailand needed to migrate an entire on-premises platform to Oracle Cloud Infrastructure — across four heterogeneous data systems, with zero production downtime, and a mandate to build a reusable blueprint for 11 more sites to follow.
Enterprise TechnologyConfidential Enterprise Client
A confidential enterprise client engaged GYSP as a dedicated Oracle resource to architect and execute an 8-phase Oracle Cloud data migration — moving Revenue Management and Customer Information Management data through a validated pipeline, achieving zero data mismatches across 14 staging tables.
TravelTechExpedia India
Manual deployments, peak-season exposure, and reactive monitoring — at the scale of millions of daily travel bookings. The infrastructure needed to match the ambition.
Client Voices
What our clients say
“GYSP's expertise in secure, compliant infrastructure allowed us to scale transactions confidently. From AWS-to-GCP migration to DevSecOps pipelines, their work cut deployment time and strengthened compliance. What impressed us most was how they delivered cost optimisation while ensuring zero downtime.”
“The GYSP team completely transformed our infrastructure. Moving from a monolith to microservices, building full observability, and ensuring compliance — all while keeping costs predictable. Teachers and students experienced faster, more reliable access, and our dev team gained real velocity. They've been more of a partner than a vendor.”
“We needed a partner who could modernise our travel platform while meeting strict compliance standards, and GYSP delivered beyond expectations. Their expertise in cloud migration, security, and automation gave us a scalable foundation to support millions of travellers. The platform runs smoother, safer, and faster — exactly what we needed.”
FAQs
Common questions
Everything buyers typically ask before starting a cloud & devops engagement.
Ask us anythingHow long does a cloud migration typically take?
A lift-and-shift migration for a medium-complexity workload takes 8–12 weeks. A re-architecture migration (modernising to cloud-native services) runs 16–24 weeks. We always migrate in phases to protect uptime — production never goes dark.
Can you reduce our cloud costs without a full re-architecture?
Yes — and this is where we start. A FinOps engagement identifies 20–40% spend reduction within 90 days by rightsizing, eliminating waste, optimising reserved capacity, and restructuring data transfer costs. No re-architecture required.
What is Platform Engineering and do we need it?
Platform Engineering is building an Internal Developer Platform — a self-service layer that lets your engineers provision infrastructure, deploy, and run pipelines without tickets or DevOps bottlenecks. You need it when developer-to-platform-engineer friction is slowing delivery: long PR-to-deploy times, frequent environment issues, developers blocked on infra.
How do you handle zero-downtime migrations for production systems?
Blue/green deployments, canary releases, traffic shifting with automated rollback triggers, and feature flags for gradual exposure. We design the migration strategy before writing a single Terraform file — cutover risk is engineered out, not managed during the event.
Which cloud provider do you recommend — AWS, Azure, or GCP?
It depends on your workload, team expertise, and existing investments. AWS leads for breadth of services. Azure is the natural choice for Microsoft-heavy organisations. GCP is strongest for ML/data workloads. We're certified across all three and advise based on your specific context — not vendor preference.
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