Services

Five practice areas. One operator mindset.

Platform engineering, site reliability, cloud and AI infrastructure, CI/CD, and security. We pick up what is broken or build what is missing.

  1. 01

    Platform Engineering

    Multi-tenant Kubernetes platforms, internal developer platforms, and the standardised deployment patterns that let one team support many tenants.

    • One platform team supports 10+ tenants without per-tenant snowflakes
    • Every deploy is a pull request, not a ritual: standardised Helm charts and GitOps
    • Hard tenant isolation with RBAC, quotas, network policies, and ambient mTLS
    ▸ Full capability list
    • Multi-tenant Kubernetes architecture with namespaces, RBAC, resource quotas, and network policies
    • Helm chart standardisation across services, environments, and tenants
    • Istio service mesh, including ambient mode for transparent mTLS
    • GitOps workflows and pull-request-driven deploys
    • Per-tenant resource isolation and noisy-neighbour controls
    • Self-service developer platforms on top of Kubernetes
    Kubernetes Helm Istio VMware Tanzu GitOps Multi-tenancy
  2. 02

    Site Reliability & Observability

    Production-grade observability and SRE practices. From per-tenant health scores to DORA metrics, designed for teams that have to be on call.

    • Dashboards and alerts your on-call actually trusts at 3 AM
    • SLOs and error budgets that tell you when to ship and when to stop
    • DORA metrics wired to real deploys, not spreadsheets
    • Incident timelines that correlate deploys, events, and logs
    ▸ Full capability list
    • Prometheus and Grafana stack deployment and dashboarding
    • ELK logging pipeline (Filebeat to Logstash to Elasticsearch and Kibana)
    • Slack alerting, on-call routing, and runbook integration
    • SLO definition, tracking, and error-budget reporting
    • DORA metrics (deploy frequency, lead time, change failure rate, MTTR)
    • Incident timeline correlation across deploys, events, and logs
    • TV-mode dashboards for ops floors and team standups
    Prometheus Grafana ELK OpenTelemetry SLOs DORA
  3. 03

    Cloud & AI Infrastructure

    Deep, hands-on Azure and AWS engineering, with purpose-built GPU platforms for LLM and VLM workloads and AI integrations in production applications.

    • Production LLM and VLM serving on your own GPUs, not someone else's API bill
    • Azure and AWS landing zones hardened for regulated customers
    • GPU platforms taken from quota request to vLLM serving in production
    • Cost governance with budgets, right-sizing, and DR that survives an audit
    ▸ Full capability list
    • Azure landing zones, AKS, and Container Apps for production workloads
    • Event-driven systems on Azure Service Bus, Storage Queues, and Functions
    • Azure Monitor and Application Insights behind AMPLS private link
    • Azure Key Vault, managed identity, and Microsoft Entra ID
    • Azure GPU compute (NCASv3_T4, ND-series) across multiple regions
    • AWS S3 lifecycle tiering (Standard, Glacier Flexible, Deep Archive) for backup and archival
    • AWS EC2, Route 53, CloudFront, and IAM for global delivery and access control
    • NVIDIA GPU Operator, KAITO on AKS, and vLLM for LLM and VLM serving
    • DGX Spark (Grace Blackwell GB200) on Azure Arc with K3s and ARM64 containers
    • Anthropic Claude and OpenAI integrations in production applications
    • VMware Tanzu Kubernetes platform for on-prem and hybrid deployments
    • Cost governance, budget alerts, right-sizing, and multi-region disaster recovery
    Azure AKS AWS NVIDIA GPU Operator KAITO vLLM Anthropic Claude VMware Tanzu

  4. Not sure which practice fits? Describe the system, we will tell you where it hurts.

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  5. 04

    DevOps & CI/CD

    Pipelines, infrastructure as code, and release automation. The supporting craft that makes platform engineering and SRE work possible.

    • Pipelines that ship every branch to the right environment automatically
    • Infrastructure as code: reviewable, repeatable, recoverable
    • Release confidence scoring instead of Friday-deploy anxiety
    ▸ Full capability list
    • Jenkins multibranch pipelines with webhook triggers
    • GitHub Actions workflows for builds, tests, and deploys
    • Infrastructure as Code with Terraform, Bicep, and Ansible
    • Container builds and Harbor registry management
    • Multi-environment deployment strategies (dev, staging, prototype, prod)
    • Branching strategies for environments that actually matter
    • Release tracking with deploy confidence scoring
    Jenkins GitHub Actions Terraform Bicep Ansible Harbor
  6. 05

    Security & Compliance

    Defense-in-depth across Kubernetes, secrets, identity, and certificates. Aligned with what regulated SaaS customers actually require.

    • Secrets out of git and into Vault, with rotation that actually happens
    • mTLS everywhere without touching application code
    • Audit trails and image signing that pass customer due diligence
    ▸ Full capability list
    • Kubernetes RBAC and Pod Security Standards
    • HashiCorp Vault for secrets management
    • Istio mTLS for service-to-service encryption
    • cert-manager for SSL/TLS automation
    • OIDC, LDAP, and MFA integration
    • AMPLS private link for secure telemetry
    • Audit logging for destructive and important actions
    • Container image scanning and signing
    Vault Istio mTLS cert-manager OIDC LDAP MFA

Tell us what is broken.

We work in scoped quarterly engagements. Bring the system, the constraints, and the deadline.

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