Case Studies
Enterprise platform work built around reliability, governance, and scale.
These engagements focus on the operating capabilities leadership teams need from infrastructure: resilient platforms, controlled releases, integrated data, and systems that can support growth.
Ecovista
Unified ERP, analytics, and communications platform on GKE
- Engagement
- Enterprise cloud modernization and systems integration
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
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
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
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
Paxform
Production and staging infrastructure on DigitalOcean
- Engagement
- Cloud infrastructure setup and CI/CD implementation
Set up separate production and staging environments for several applications on DigitalOcean. The work also covered GitHub and GitLab deployment pipelines, automated releases, encrypted file handling, and object storage.
- Created separate production and staging environments for safer releases
- Automated application deployments through GitHub and GitLab pipelines
- Set up encrypted file transfers to DigitalOcean Spaces
DigitalOceanDigitalOcean SpacesGitHub CI/CDGitLab CI/CDEncryption
StockJarvis
GCP infrastructure for a trading and backtesting platform
- Engagement
- Trading platform infrastructure and Kubernetes
Managed the infrastructure behind StockJarvis, a platform used for multi-exchange trading and backtesting. The work included Docker services on GCP and VPS servers, Kubernetes on GCP, and support for applications built with Go, Python, Node.js, React, and PostgreSQL.
- Supported infrastructure for multi-exchange backtesting workflows
- Managed containerized services across GCP and VPS environments
- Improved the platform's deployment process and use of cloud resources
Google Cloud PlatformKubernetesDockerPostgreSQLTrading Platform
ClikIT
CI/CD and application delivery on Azure Kubernetes Service
- Engagement
- DevOps automation and Kubernetes delivery
Built CI/CD workflows and Kubernetes-based deployment processes for ClikIT, now Backline. The work made releases more consistent and helped the team deploy application updates to Azure Kubernetes Service with less manual effort.
- Automated build and deployment workflows
- Moved application delivery to Azure Kubernetes Service
- Reduced manual release work and the risk of deployment downtime
Azure Kubernetes ServiceKubernetesCI/CDDevOpsContainer Orchestration
Atakian
Docker environments for a full-stack application
- Engagement
- Application containerization and deployment
Containerized a full-stack application built with Node.js, React, and MongoDB. The work covered container builds, coordination between services, and matching the development and production environments more closely.
- Containerized the Node.js, React, and MongoDB services
- Set up repeatable multi-service environments for development and production
- Simplified deployments and reduced environment-related issues
DockerNode.jsReactMongoDBContainerization
Sean Brown
Faster WordPress hosting on VPS infrastructure
- Engagement
- WordPress performance and VPS optimization
- Client
- Sean Brown
Improved the performance of a WordPress site hosted on a VPS. The server was tuned and Redis, Memcached, and Varnish were configured to serve pages faster and keep the site stable under load.
- Added Redis, Memcached, and Varnish caching
- Tuned the VPS for more stable WordPress performance
- Reduced page load times and unnecessary server work
WordPressVPSRedisMemcachedVarnish
WebApp Solutions
Migrated production websites from a monolithic environment to microservices
- Engagement
- Website migration, Docker, and CI/CD
- Client
- WebApp Solutions
Moved production websites from a monolithic Plesk environment into containerized services. Separate development, staging, and production environments were created, with GitLab pipelines handling controlled and repeatable deployments.
- Migrated production websites from monolithic hosting to containerized services
- Created separate development, staging, and production environments
- Automated deployments with GitLab CI/CD
DockerPlesk MigrationGitLab CI/CDProduction DeploymentWeb Hosting
