Four platform disciplines.
One operating model.
Each layer reduces the operational surface your teams manage. Together, they form a repeatable delivery platform — auditable, version-controlled and recoverable from day one.
Cloud Infrastructure
The challenge
Manual AWS environments produce configuration drift, undocumented state and infrastructure that cannot be reliably reproduced. When an account is provisioned by hand, every subsequent environment diverges.
Engineering approach
Codified AWS environments with defined networking, security boundaries and access policies. Terraform modules that can be audited, version-controlled and reproduced across accounts. Every resource has an owner. Every change has a commit.
Operational outcomes
- Multi-AZ environments reproducible from a single Terraform workspace
- Remote state with S3 backend and DynamoDB locking — no state file conflicts
- Least-privilege IAM policies defined as code and reviewed before apply
- Security groups, ACLs and VPC boundaries enforced at provisioning time
- CloudWatch alarms configured before the first workload reaches production
Technology stack
Platform Engineering
The challenge
Development teams raising infrastructure tickets to deploy software is a bottleneck. Every manual handoff is a delay. Every undocumented cluster configuration is a risk.
Engineering approach
Kubernetes clusters operated as internal platforms. GitOps delivery through ArgoCD. Development teams deploy without raising infrastructure tickets. The platform enforces policy, not the operator.
Operational outcomes
- EKS clusters with HPA and resource limits — autoscaling without manual intervention
- GitOps delivery via ArgoCD — Git is the only deployment interface
- Helm Charts with per-environment values — one chart, multiple promotion stages
- Development teams deploy by merging a pull request, not filing a ticket
- Cluster configuration is auditable, reproducible and recoverable
Technology stack
DevOps Automation
The challenge
Manual release processes introduce human error, compress deployment windows and make rollback difficult. When releases are infrequent, each one carries disproportionate risk.
Engineering approach
End-to-end pipelines that enforce tests, security scans and policy gates before code reaches a cluster. Every release is traceable. Every rollback takes one command. Credentials are replaced by OIDC identity.
Operational outcomes
- Build → test → quality gate → container build → deploy without manual steps
- SonarCloud coverage gates enforced on every pull request — not post-deployment
- OIDC authentication to AWS — no static credentials in CI environments
- Rolling updates with maxUnavailable=0 — zero-downtime deployments
- Full audit trail: every release tied to a commit, a pipeline run and a timestamp
Technology stack
Observability
The challenge
Discovering problems through user reports is not an operating model. Dashboards built after the first incident detect the second. Observability added retroactively never covers what matters.
Engineering approach
Instrumented from day one, not after the first incident. Prometheus metrics, structured logs and alerting thresholds configured before the first user hits production. SLIs and SLOs defined at design time.
Operational outcomes
- Prometheus scraping workload metrics from deployment day, not incident day
- Grafana dashboards covering infrastructure and application health in one view
- CloudWatch Container Insights for EKS workloads and cluster-level visibility
- Alerting thresholds defined before go-live — CPU, memory, error rates, latency
- SLIs and SLOs documented alongside the architecture, not added after outages
Technology stack
How we work
Every engagement starts with understanding your current state. We do not propose solutions before we understand the problem.
Infrastructure Review
We assess your current architecture, identify gaps in resilience, delivery automation and observability, and produce a concrete gap analysis with a prioritized remediation path.
- Current state architecture review
- Resilience and availability gap analysis
- Delivery automation assessment
- Observability coverage audit
- Written findings with remediation priorities
Platform Implementation
End-to-end platform delivery. We design, build and hand over a production-ready AWS environment with automated delivery pipelines, Kubernetes orchestration and integrated observability.
- Modular Terraform AWS environment
- EKS or ECS Fargate orchestration
- End-to-end CI/CD pipeline
- GitOps delivery via ArgoCD
- Prometheus, Grafana and CloudWatch
- Documentation and runbook delivery
- 30-day post-handover support window
Operational Support
Ongoing platform operations. We monitor, patch, optimize and evolve your infrastructure while your teams focus on application delivery.
- Proactive alerting and incident response
- Security patching and version management
- AWS cost optimization reviews
- Infrastructure evolution and scaling
- Monthly state-of-platform report
Every engagement is scoped to your architecture.
We assess before we propose. Bring your current state and we will outline a concrete path — with scope, timeline and expected outcomes — before any commitment.
Start with a technical reviewStart with an infrastructure review.
Bring your current architecture. We identify gaps in resilience, delivery automation and observability — and outline a concrete path forward.