Our Services

Comprehensive cloud, platform, and Kubernetes solutions tailored to your needs

How We Work

1

Platform Build

We design and build your Kubernetes platform from scratch. 4-8 weeks to production.

2

Migration

Migrate existing workloads to a modern, standardized platform with minimal disruption.

3

Ongoing Operations

Continuous monitoring, security updates, cost optimization, and platform improvements.

Compliance Ready

Our platform standards help you meet regulatory requirements and pass audits with confidence.

SOC 2 Type II
Aligned
ISO 27001
Aligned
GDPR
Aligned
PCI-DSS
Ready
CIS Benchmarks
Aligned

Platform Engineering

Build and operate production-ready Kubernetes platforms on AWS, GCP, or on-premises.

End-to-End Kubernetes Deployment

From setting up a single-node cluster to multi-region HA cloud or on-prem environments, we tailor Kubernetes deployments to your needs.

Key Features:

  • EKS, GKE & KOPS deployments
  • Helm charts & package management
  • Encrypted persistent storage
  • Multi-AZ high availability

Cloud Providers Expertise

Deep expertise across major cloud platforms. We help you choose the right services and optimize your cloud strategy.

Key Features:

  • AWS, GCP & Azure* expertise
  • EKS, GKE & KOPS clusters
  • Kubernetes on-prem*
  • VPC, IAM & security best practices

Platform Operations & Reliability

We handle the complexity so you can focus on your product. Always-on infrastructure with continuous improvements.

Key Features:

  • High availability & failover
  • Zero-downtime upgrades
  • 24/7 monitoring & maintenance
  • Capacity planning & optimization

Platform Security

Comprehensive security from secrets management to identity federation and runtime protection.

Key Features:

  • Encrypted secrets management
  • Identity-based access control
  • Least-privilege policies
  • Runtime security hardening

Autoscaling & Cost Optimization

Intelligent scaling that grows with demand and shrinks when quiet. Pay for what you use.

Key Features:

  • Horizontal & Vertical Pod Autoscaling
  • Cluster Autoscaler configuration
  • KEDA event-driven scaling
  • FinOps & resource optimization

Observability & Alerting

Full-stack monitoring, centralized logging, and intelligent alerting to keep your platform healthy.

Key Features:

  • Real-time monitoring & dashboards
  • Centralized log management
  • Proactive alerting & notifications
  • Cloud-native integrations

DevOps & Developer Enablement

Empower your development teams with modern tooling, automation, and best practices.

GitOps & Infrastructure as Code

Everything defined in Git. ArgoCD for continuous deployment, Terraform for infrastructure. Complete audit trail and instant rollback.

Key Features:

  • ArgoCD continuous deployment
  • Terraform modules & best practices
  • Drift detection & auto-reconciliation
  • Kustomize environment overlays

CI/CD Pipelines

Automated build, test, and deployment pipelines that integrate seamlessly with your Kubernetes platform.

Key Features:

  • GitHub Actions workflows
  • Container image builds & vulnerability scanning
  • ECR & Artifact Registry integration
  • Multi-environment deployments

Auth & SSO Integrations

Secure access to your platform with identity federation and single sign-on across all your tools.

Key Features:

  • Okta, Cognito & Keycloak integration
  • OIDC & SAML support
  • VPN with SSO authentication
  • RBAC & access control policies

Microservices Architecture Consulting

Design scalable, maintainable software architectures. From monolith decomposition to greenfield microservices design.

Key Features:

  • Domain-driven design
  • API design & versioning strategies
  • Container-native design patterns
  • Stateless & stateful workload patterns

Configuration Audits

Get a health check for your existing clusters, including security, performance, and compliance recommendations.

Key Features:

  • Security assessment
  • Performance optimization
  • Compliance checks
  • Best practices review

Data & AI/ML Platform Support

Enable your Data Science and AI/ML teams with scalable infrastructure for data pipelines, model training, and production ML workloads.

Key Features:

  • Data lake infrastructure
  • Workflow orchestration
  • ML experiment tracking
  • GPU workloads & model serving