- utc_offset
- UTC+5:30
- focus
- compliance, cost optimization, cluster architecture
- core_stack
- Kubernetes, EKS/GKE, Istio, Cilium, ArgoCD, Terraform, Prometheus/Grafana/Loki
Production infrastructure, done right
Production-ready, multi-cloud, compliant, cost-controlled, fully visible. Pick your problem — we've solved it before.
An independent consultancy with engineers based across Asia and Europe, helping teams get their infrastructure production-ready, scale across multi-cloud and multi-region, stay compliant, control cluster spend, and see what's actually happening on their platform.
- Multi-cloud & multi-region builds
- PCI DSS & SOC 2 experience
- Kubernetes since v1.6
Five problems we get called for
Whichever one brought you here, it's the reason this consultancy exists.
🏗️
Production-ready infrastructure
Take what works in staging and make it hold up under real traffic, real load, and real failure modes.
🌐Multi-cloud, multi-region scale
Scale workloads across clouds and regions without re-architecting every time you grow.
🔒Infrastructure that's compliant
PCI DSS, HIPAA, SOC 2 — built into the platform, not bolted on before an audit.
💸Cluster spend, under control
Know exactly where every cluster dollar goes, and cut the parts that shouldn't be there.
📡Next-level platform visibility
See what's actually happening across your platform — signal, not a wall of dashboards.
Five problems we get called for
Each one expands into the specific work — click a row to see what's inside.
- PCI DSS readiness & audits — cardholder data environment scoping, network segmentation, QSA-ready evidence
- SOC 2 Type I/II preparation — control mapping, automated evidence collection, audit-day dry runs
- HIPAA technical safeguards — encryption at rest/in transit, access logging, infrastructure for BAAs
- Compliance-as-code — policy engines (OPA, Kyverno) enforcing controls before merge, not after audit
- Vulnerability & pen-test remediation — triage, patch, and re-test cycles that don't stall releases
- Cloud spend audits — right-sizing EC2, EKS, and GKE workloads against real usage
- Commitment strategy — Reserved Instances, Savings Plans, and CUD modelling
- Kubernetes resource tuning — requests/limits, HPA/VPA, bin-packing, node autoscaling
- FinOps tagging & showback — cost visibility down to team and service
- Storage & egress reduction — lifecycle policies, tiering, and cross-AZ traffic cuts
- Anomaly detection — ML-based baselining on metrics and logs, not static thresholds
- Unified telemetry pipelines — Prometheus, Grafana, Loki, Tempo, and OpenTelemetry, wired together
- Alert correlation — collapsing duplicate pages into one actionable incident
- Predictive capacity planning — forecasting scale needs before they become incidents
- AIOps copilots — natural-language incident summaries for faster handoffs
- Fleet management — consistent operations across EKS, GKE, AKS, and on-prem clusters
- GitOps at scale — ArgoCD ApplicationSets and Flux for hundreds of app deployments
- Multi-cluster service mesh — Istio and Cilium ClusterMesh for cross-cluster traffic
- Centralized RBAC & policy — one identity and guardrail model across every cluster
- Cross-region failover — disaster recovery that's tested, not theoretical
- Migration strategy — lift-and-shift vs. re-platform, decided by workload, not habit
- Containerization — moving VM-based workloads onto EKS/GKE without a rewrite
- Multi-cloud & cloud-to-cloud — AWS↔GCP↔Azure migrations with data-gravity accounted for
- Zero-downtime cutover planning — traffic shifting, dual-write windows, rollback paths
- Post-migration tuning — the work that's usually skipped once the migration "works"
Delivered by senior engineers, across two regions
Every engagement is worked directly by senior platform engineers based across Asia and Europe — not handed off to a bench of juniors.
- utc_offset
- UTC+2 / +3
- focus
- DevOps consulting, observability, AI-assisted operations
- core_stack
- Kubernetes, GitOps pipelines, CI/CD, cloud migrations
Together: 15+ years of combined platform and SRE experience, including AWS DevOps Engineer Professional, AWS Solutions Architect Professional, and CKA certifications — applied directly to your infrastructure, engagement to engagement.
How an engagement runs
Four stages, same shape as a release pipeline.
-
discovery
Discovery call
30–45 minutes. You describe the environment and the pain; we ask the questions a QSA or an SRE would ask.
-
assess
Assessment
We review access, architecture diagrams, and telemetry where available, and scope what's actually involved.
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proposal
Proposal
Fixed-scope or ongoing retainer, priced against the work — not a day-rate guess.
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deliver
Delivery
Direct Slack/Teams access to both of us, working in your repos, with changes reviewed like any other PR.
Tell us what's going on
The more specific, the faster we can scope it. No sales call required to get a real answer.