Platform Engineering & Developer Platforms
Give your engineers a self-service platform, not a ticket queue.
Platform engineering services that build an Internal Developer Platform (IDP) your engineers actually use. Self-service infrastructure provisioning, GitOps delivery pipelines, and Kubernetes-native environments — eliminating ticket-driven bottlenecks and cutting PR-to-deploy time by 4x without adding headcount.
What We Deliver
Core Capabilities
- Internal Developer Platform (IDP) Design & Build
- Kubernetes Platform Engineering
- GitOps Pipeline Automation (ArgoCD, Flux)
- Self-Service Infrastructure Provisioning
- Developer Portal & Service Catalogue (Backstage)
- Platform Observability & SLO Dashboards
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By the Numbers
What clients achieve with GYSP
same team, same headcount — developer bottlenecks removed by self-service platform delivery
engineers provision environments, databases and pipelines without raising a ticket to the platform team
Kubernetes-native architecture with automated failover, rolling updates and full observability built in
Proven Results
Platform Engineering Case Studies
Global Enterprise AI Platform
A global enterprise AI platform operating ML workloads across recommendation engines, demand forecasting systems, and fraud detection pipelines needed to scale from 4 to 18 data scientists without GPU spend spiralling out of control. GYSP engineered a Kubernetes-native, multi-tenant MLOps platform with Run:ai fractional GPU virtualisation, Karpenter dynamic compute provisioning, and a full FinOps enforcement layer that cut monthly GPU infrastructure spend from $68,000 to $18,000 while driving average GPU utilisation from 27% to 91%.
EdTechLead School
When exam season hits, millions of students can't wait for infrastructure to catch up. Lead School needed surge-proof, compliant, fully automated infrastructure across thousands of schools.
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.
Industry Expertise
Industries We Serve with Platform Engineering
FAQs
Common questions
Everything buyers typically ask before starting a platform engineering engagement.
Ask us anythingWhat do platform engineering services include?
Platform engineering services cover the full IDP build: platform architecture design, Kubernetes cluster setup, GitOps pipeline automation with ArgoCD or Flux, self-service provisioning templates, developer portal configuration using Backstage, and observability integration. We deliver a production-ready Internal Developer Platform your engineering team can operate independently.
What is an Internal Developer Platform and do we need one?
An Internal Developer Platform is a self-service layer that lets engineers provision infrastructure, deploy applications, and run pipelines without raising tickets to the platform team. You need one when developer-to-platform friction is slowing delivery: long PR-to-deploy cycles, frequent environment failures, or engineers blocked waiting on infra access.
How long does a platform engineering engagement take?
A foundational IDP — Kubernetes platform, GitOps pipelines, and self-service provisioning — takes 8–12 weeks to production. A full build including developer portal, service catalogue, and observability dashboards runs 14–20 weeks. We deliver in phases so teams start benefiting from week four onwards.
Which tools do you use for platform engineering?
Kubernetes (EKS, AKS, GKE) for container orchestration, ArgoCD or Flux for GitOps delivery, Crossplane or Terraform for infrastructure provisioning, Backstage for the developer portal and service catalogue, and Prometheus with Grafana for platform observability. We select tooling based on your existing stack, not a fixed template.
How does platform engineering differ from DevOps?
DevOps is a cultural practice focused on collaboration between development and operations teams. Platform engineering is the discipline of building the tooling and infrastructure that makes DevOps practices scalable. A platform engineering team builds the Internal Developer Platform so that every development team can ship independently — without a central DevOps bottleneck.
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