Turf Dev

Kubernetes-Native Infrastructure Engineering

Infrastructure engineered for scale, reliability, and control.

Kubernetes-native platforms for enterprise systems and high-growth teams operating under delivery pressure, reliability mandates, and cost accountability.

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Trusted By

Ecovista
Iacuity Fintech
Agasty AI
Agro Tredix
MAHEM IMPEX
Xalted Information Systems
Risk Care Insurance Group
Georgia Cyber Range

Services

Four engagements. One connected path to Operate.

A single Kubernetes specialization, delivered through four named products — each mapped to where your platform stands today.

01

Secure

Score, prioritize, and close the gaps in a cluster you already run.

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02

Launchpad

Stand up a production-ready Kubernetes platform from zero.

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03

Migrate

Move applications onto a cluster you already run — no rebuild required.

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04

Operate

Keep the platform patched, monitored, and accountable — every month.

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Where We Operate

Infrastructure mandates defined by uptime, throughput, and governance.

Platform ownership, regulated delivery, and workload elasticity shape the environments where Turf Dev is engaged.

Public sector and government-grade systems requiring compliance-ready security, isolation, and auditable operations.

Fintech and regulated systems requiring release control, auditability, and resilient runtime behavior.

AI and compute-heavy workloads where elasticity, cost governance, and observability are operational requirements.

Enterprise modernization programs moving legacy delivery models onto Kubernetes-native foundations.

Platform Approach

Platform engineering built around production readiness.

Delivery models are structured around infrastructure standards, operational safety, and scalable control planes.

Kubernetes platform engineering with standardized clusters, policy controls, and runtime guardrails.

Production infrastructure design for multi-environment delivery, networking, secrets, and resilience planning.

DevSecOps automation across build, release, policy enforcement, and operational response workflows.

FinOps and cost governance with usage visibility, budget controls, and efficiency tuning at platform level.

Capabilities

Engineering scope aligned to platform scale and operational risk.

Core capabilities span platform foundations, runtime reliability, and infrastructure economics.

Capability

Kubernetes Platform Engineering

Cluster architecture, workload standards, policy enforcement, and operational tooling designed for long-term scale.

Capability

Infrastructure Architecture

Cloud and on-prem foundation design across networking, data movement, identity, observability, and systems integration.

Capability

Production Reliability Engineering

Release safety, incident resilience, recovery posture, and runtime engineering for business-critical platforms.

Capability

FinOps & Cost Optimization

Cost governance models, resource efficiency, and platform-wide controls that reduce waste without weakening reliability.

Metrics / Proof

Aggregate outcomes across recent platform engineering programs.

These are portfolio-level figures, not results from a single engagement — see the case studies below for what was actually delivered, client by client.

31%

cloud cost reduction across infrastructure optimization programs

58%

deployment failure reduction after platform stabilization work

99.95%

availability targets supported for high-growth production systems

Engagement-Specific Outcomes

Case Studies

Selected enterprise delivery work.

Ecovista

Unified ERP, analytics, and communications platform on GKE

Engagement
Enterprise cloud modernization and systems integration
Client
EcovistaLinkedIn

Delivered a cloud-native operating platform that brought ERP, analytics, and communication systems into one managed architecture. The engagement included ERPNext on GKE, secure data movement from an on-prem Microsoft SQL Server environment in Nigeria to BigQuery, and an AI-enabled VoIP layer for integrated business communication.

  • Centralized operational data for executive reporting and real-time analytics
  • Migrated 90-day business data into BigQuery through a reliable transfer pipeline
  • Integrated ERP, data, and communication workflows under a scalable cloud architecture
GKEBigQueryERPNextEnterprise VoIPData Engineering

Iacuity Fintech

Production-grade on-prem Kubernetes platform for fintech workloads

Engagement
Secure financial platform infrastructure and release governance
Client
Iacuity FintechLinkedIn

Established a secure, production-grade platform foundation for distributed financial services. The engagement modernized Java and Node.js workloads into containerized services, introduced Apache Kafka for event-driven processing, and created governed CI/CD pipelines for reliable, auditable releases.

  • Enabled scalable transaction-oriented workloads across distributed services
  • Improved resilience through high availability and fault-tolerant platform design
  • Standardized secure release cycles across Java and Node.js service teams
KubernetesApache KafkaDockerDevSecOpsMicroservices

Agasty AI

Production GKE platform for scalable AI model serving

Engagement
Cloud-native AI application deployment and operations
Client
Agasty AILinkedIn

Deployed and optimized a production-grade AI application on Google Kubernetes Engine. The engagement established containerized workloads, autoscaling policies, resource allocation standards, and deployment strategies to support variable compute demand for AI model serving.

  • Improved model-serving reliability through tuned Kubernetes deployment strategies
  • Supported variable AI workload demand with autoscaling and resource controls
  • Integrated monitoring and logging for stable cloud-native AI operations
Google Cloud PlatformKubernetesAI OperationsCloud ArchitectureDocker

Georgia Cyber Range

Secure, multi-tenant cyber range platform on Kubernetes (EKS)

Engagement
Cybersecurity infrastructure design and deployment on AWS EKS
Client
Georgia Cyber RangeLinkedIn

Designed and deployed a production-grade cybersecurity training platform on AWS using EKS. The engagement established multi-tenant Kubernetes environments with strong isolation, implemented IAM-based access controls, network segmentation, and integrated monitoring and logging to support large-scale offensive and defensive cyber scenarios.

  • Supported 1000+ concurrent isolated cyber lab environments
  • Achieved strong tenant isolation using Kubernetes and network segmentation
  • Enabled real-time monitoring and logging for threat visibility and analysis
AWSKubernetes (EKS)Cloud SecurityDevSecOpsInfrastructure ArchitectureIAM & Access Control

Testimonials

Platform delivery recognized by operating stakeholders.

"The TurfDev team successfully designed and deployed our cloud infrastructure on Google Cloud using Kubernetes (GKE), along with ERPNext implementation and a robust data pipeline to BigQuery. Their ability to translate business needs into scalable, production-ready systems significantly improved our reporting and operational efficiency. We highly recommend TurfDev for enterprise cloud and DevOps solutions."

Arpita M.

Human Resources Manager at MAHEM IMPEX PRIVATE LIMITED

ERPNext Deployment on GKE | Apr 2026 | Verified

"We have been working with TurfDev for quite some time now. Their team is dedicated and goes out of the way to help their clients. They have helped my technical team achieve their product goals through continuous collaboration. I highly recommend TurfDev, as they are genuine and take 100% ownership to get the task done."

Sanjukta M.

Director HR at Xalted Information Systems Pvt. Ltd.

Kubernetes Deployment and Migration

"The TurfDev team has been a highly reliable and capable partner in managing our AWS infrastructure. Their strong technical expertise, proactive approach, and clear ownership ensure our systems remain secure, scalable, and efficient. We value their professionalism and would confidently recommend TurfDev to any organization seeking a dependable cloud infrastructure partner."

Mr. Dalbir Singh

Managing Director

Risk Care Insurance Group

Mississauga, Ontario, Canada

"The TurfDev team played a key role in successfully transitioning our application from a local development setup to a production-ready environment on GKE. Their expertise in containerization and Kubernetes ensured a smooth migration of our Java Spring Boot application with minimal disruption. They demonstrated strong technical depth, clear execution, and ownership throughout the process, delivering a scalable and reliable infrastructure foundation."

Rakesh Upadhayaya

Founder

Agasty AI

Architecture Review

Platform direction for high-stakes infrastructure programs.

Discuss Kubernetes architecture, production reliability, and cost-governance priorities with an engineering-led team.

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