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Platform Architecture

The platform stack,
layer by layer.

Six layers that form an auditable, repeatable infrastructure operating model. Each one is version-controlled and recoverable.

What makes this model work

Immutable infrastructure
Every change goes through Terraform and Git. The aws-terraform-devops modules deploy VPC, EKS and RDS with zero manual operations. Remote state in S3 with DynamoDB locking prevents conflicts.
GitOps delivery model
ArgoCD uses Git as the single source of truth — k8s-on-premise has auto-sync enabled from Phase 3. gitops-stack uses Jenkins CI with GitHub for full pipeline automation.
Instrumented from day one
gitops-stack includes CloudWatch and CloudTrail from first deploy. k8s-on-premise roadmap: Prometheus (Phase 6) and Grafana (Phase 7) before first production workload.
Designed for failure
RDS Multi-AZ with automatic failover in aws-terraform-devops. Calico CNI network policies in k8s-on-premise. HPA in the kubernetes roadmap — reliability built in, not bolted on.

Platform reliability at scale

Real production metrics from infrastructure we design, build and operate.

6+
Open Source Projects
github.com/lra-cloud-ops
18
K8s Roadmap Phases
k8s-on-premise platform
100%
Infrastructure as Code
Zero manual changes
25+
AWS Services
Via aws-devops-agent
4+
Years in Production
Real environments
24h
Response Time
Support SLA

Trusted technologies we operate in production

AWS
Terraform
Kubernetes
Docker
GitHub Actions
ArgoCD
Helm
Jenkins
Ansible
KinD
CloudWatch
Prometheus
Grafana
Alertmanager
CloudTrail
SonarCloud
ShellCheck
containerd
Vagrant
Linux

Production workloads.
Documented outcomes.

CLI Terminal
Claude Sonnet Reasoning
boto3 Python SDK
AWS 25+ services
AI & Cloud Automation

aws-devops-agent

In Development

AI-powered CLI agent for managing 25+ AWS services in natural language. Claude Sonnet as reasoning layer, boto3 as execution layer — query infrastructure, deploy workloads and manage resources without leaving the terminal.

25+ supported
AWS services
Natural language CLI
Interface
Claude Sonnet
AI model
boto3
Execution layer
PythonClaude Sonnetboto3AWSAnthropic APICLI
  • Natural language → AWS API — describe what you need, the agent executes it
  • Claude Sonnet as reasoning layer — interprets intent, selects the right boto3 call
  • 25+ AWS services supported — EC2, S3, EKS, RDS, IAM, CloudWatch and more
GitHub Actions CI/CD
Terraform IaC
AWS EKS Kubernetes
RDS Multi-AZ
Cloud Infrastructure

aws-terraform-devops

Production

Production-ready AWS infrastructure with Terraform. Scalable architecture with EKS, RDS Multi-AZ, VPC and automated CI/CD pipelines using GitHub Actions and Jenkins. Remote state management and SonarCloud coverage gates.

Modular — reusable
Terraform modules
Dual — GitHub Actions + Jenkins
CI/CD pipelines
RDS Multi-AZ
Database
SonarCloud enforced
Coverage gate
TerraformAWS EKSRDS PostgreSQL 15GitHub ActionsJenkinsSonarCloudFlaskDocker
  • Modular Terraform — VPC, EKS, RDS, IAM as independent reusable modules
  • Dual CI/CD — GitHub Actions for cloud builds, Jenkins for on-premise
  • RDS PostgreSQL 15 Multi-AZ with automated failover
Jenkins CI Pipeline
Terraform IaC
EKS Kubernetes
ArgoCD GitOps
GitOps & CI/CD

gitops-stack

Production

Production-grade GitOps pipeline deployed on AWS EKS. Docker, Kubernetes, Jenkins CI, Terraform infrastructure, Ansible configuration management, CloudWatch observability — full DevOps lifecycle from commit to production.

Build → Test → Deploy
Pipeline stages
100% Terraform IaC
Infrastructure
IAM — zero static credentials
Identity
CloudWatch + CloudTrail
Observability
AWS EKSTerraformJenkinsAnsibleDockerKubernetesCloudWatchAWS IAM
  • Full GitOps pipeline — commit triggers automated build, test and deploy to EKS
  • Terraform modules for VPC, EKS cluster, IAM roles and CloudWatch log groups
  • Ansible playbooks for node configuration — idempotent, version-controlled
KinD Local K8s
Helm Packaging
ArgoCD GitOps
Prometheus Observability
Kubernetes & GitOps

k8s-devops-platform

Reference

Kubernetes platform with GitOps delivery via ArgoCD. Declarative, automated and versioned deployments using KinD for local development. Helm Charts, Prometheus, Grafana and Alertmanager observability stack.

GitOps — ArgoCD auto-sync
Delivery model
KinD mirrors production
Local dev
Prometheus + Grafana
Observability
Declarative — Helm + ArgoCD
Deployments
KubernetesArgoCDHelmKinDPrometheusGrafanaAlertmanager
  • GitOps with ArgoCD — declarative, versioned and automatically reconciled
  • KinD (Kubernetes in Docker) for local development that mirrors production
  • Helm Charts with per-environment values — dev, staging, production
Vagrant VM provisioning
kubeadm Cluster init
Calico CNI
ArgoCD GitOps
Kubernetes & GitOps

k8s-on-premise

In Development

Production-grade Kubernetes cluster on bare metal using kubeadm, Vagrant and VirtualBox. Automated provisioning, Calico CNI, ArgoCD GitOps and NGINX Ingress — fully reproducible from a single command.

1 master + 2 workers
Cluster topology
~20 min automated
Provisioning time
3 of 18
Phases complete
vagrant up
Deploy method
Kubernetes v1.31.14ArgoCDHelm v3.21.0Calico v3.27.0NGINX Ingresscontainerd v2.2.1VagrantVirtualBox
  • Full cluster from scratch with a single command: vagrant up
  • ArgoCD GitOps — auto-sync + prune + selfHeal enabled
  • NGINX Ingress with NodePort — demo app exposed on cluster
Bash Automation
SSH Agentless
ShellCheck Linting
Linux Fleet
DevOps Automation

linux-fleet-manager

Production

Bash automation tool for mass Linux server management — deploy, configuration and maintenance at infrastructure scale. SSH-based operations, ShellCheck validated, idempotent scripts following Red Hat engineering standards.

SSH — no agents required
Interface
ShellCheck enforced
Validation
Idempotent — safe to re-run
Scripts
Red Hat engineering
Standards
BashSSHShellCheckLinuxCI/CD
  • Mass server management via SSH — no agents or daemons required
  • ShellCheck CI validation — every script linted before deployment
  • Idempotent scripts — safe to run multiple times without side effects

What we build and operate

Six engineering disciplines. One unified platform operating model designed for production reliability.

Cloud Infrastructure

Codified AWS environments with defined networking, security boundaries and access policies. Terraform modules that can be audited, version-controlled and reproduced across accounts.

Learn more

Kubernetes Platforms

Production EKS clusters operated as internal platforms. GitOps delivery via ArgoCD. Development teams deploy without raising infrastructure tickets.

Learn more

DevOps Automation

End-to-end pipelines that enforce tests, security scans and policy gates before reaching a cluster. Every release is traceable. Every rollback takes one command.

Learn more

Platform Engineering

Building internal developer platforms that reduce cognitive load and accelerate delivery for engineering teams, from golden paths to self-service portals.

Learn more

Observability & SRE

Prometheus metrics, Grafana dashboards and alerting configured before go-live. SLOs defined. You know what is failing before a ticket is filed.

Learn more

Security & Compliance

OIDC authentication, least-privilege IAM, network isolation and compliance boundaries enforced at the infrastructure layer — not retrofitted after launch.

Learn more
Platform Engineering · AWS · Kubernetes

Platform Engineering
for Infrastructure
That Must Work.

Reproducible infrastructure. Automated delivery. Operational resilience from day one. No manual provisioning, no improvised architecture, no untracked changes.

Production infrastructure trusted in healthcare, fintech and cloud-native platforms across Spain and LATAM

Healthcare Fintech SaaS Enterprise
Response within 24h No lock-in contracts Free DevOps assessment
aws-production · main
live
terraform apply --auto-approve
Plan: 14 to add, 0 to change, 0 to destroy.
aws_vpc.main (6s)
aws_eks_cluster.main (2m 18s)
aws_rds_cluster.db (1m 44s)
aws_cloudfront_distribution.cdn (47s)
module.alb.aws_lb.main (52s)
Apply complete! Resources: 14 added.
kubectl get pods -n production
webapp-7d4b9f-x2k9p   2/2   Running
webapp-7d4b9f-m8n3q   2/2   Running
webapp-7d4b9f-p9l1w   2/2   Running
Build
Test
Security
Docker
Deploy
Deploy successful

aws-production · 2m ago

EKS Cluster
3/3 nodes healthy

Typical platform flow

GitHub Code
Terraform IaC
Amazon EKS Kubernetes
ArgoCD GitOps
Production Workloads
✅ Infrastructure as Code ✅ Automated deployments ✅ Built-in observability ✅ Security by design
HashiCorp Certified Cisco Cybersecurity Fortinet Certified ×2 View all credentials → OIDC-only credentials · No static AWS keys NDA available · GDPR compliant

From kickoff to production

A structured six-phase approach that takes you from initial discovery to an optimized, self-healing production platform.

01

Discover

Audit your current infrastructure, identify gaps in reliability, security and delivery velocity.

02

Design

Architect the target platform: network topology, cluster config, pipeline structure and observability model.

03

Build

Implement with production-grade Terraform modules, Kubernetes manifests and CI/CD pipelines.

04

Automate

Wire GitOps delivery, automated testing, policy gates and rollback procedures into every release path.

05

Operate

Run the platform in production with defined SLOs, on-call procedures and runbooks for every failure mode.

06

Optimize

Continuously tune for cost efficiency, performance and developer experience as your platform matures.

Platform engineering
reduces operational risk.

Reliability, delivery velocity and observability are properties of the platform — not afterthoughts added during incidents.

Production-first mindset.

Every architecture decision is evaluated under real production conditions — not lab environments. All 6 portfolio projects are designed to fail gracefully, not impress in demos.

Infrastructure as Code by default.

All 6 open source projects are 100% Terraform, Helm and Ansible. No cloud consoles, no manual provisioning, no implicit knowledge. Every resource has an owner, every change has a commit.

GitOps-first operations.

ArgoCD as delivery controller in all Kubernetes environments. Desired state lives in Git. No change reaches the cluster without version control and pipeline approval.

Reliability by design.

Multi-AZ topology, automated failover and circuit breakers from the first deployment. Component failures stay isolated. Users don't see them.

Automation over manual processes.

Every pipeline enforces tests, security scans and quality gates before a container reaches the cluster. Teams release faster precisely because the platform handles the gatekeeping.

Documentation-driven delivery.

Runbooks, architecture diagrams and engineering decisions are part of the delivery — not an afterthought. Prometheus metrics and Grafana dashboards configured before the first user hits production.

Industries we serve

Proven experience in regulated and high-availability environments

Healthcare

HIPAA-aware infrastructure with full audit trails

Multi-AZ availability and automated compliance controls. IAM least-privilege, encrypted data at rest and compliance boundaries enforced at provisioning. Proven in real healthcare environments — 4+ years production operations.

Financial Services

Zero-downtime deployments in regulated financial environments

Banking-grade security with OIDC-only credentials and immutable infrastructure. Full audit trail from commit to production. Experience with large-scale financial platforms — no manual intervention in the release path.

Cloud Native SaaS

Scalable platforms that grow with your product

GitOps-driven delivery, Kubernetes orchestration and full observability from day one. HPA, cluster autoscaler and ECS Fargate for elastic workloads. Every release is versioned and instantly reversible.

IT Consulting & SMB

Comprehensive IT consulting and infrastructure management

Network architecture, cybersecurity and digital transformation for small and medium businesses. Cisco, Fortinet and Windows Server environments. 8+ years serving SMBs, call centers, legal sector and healthcare.

Trusted by engineering teams

Real outcomes from real infrastructure projects

See the full case studies
3 weeks → 45 min deploy time
"They migrated our entire AWS infrastructure to EKS in 6 weeks with zero downtime. Deploy time went from 3 weeks to 45 minutes. The Terraform modules they delivered are still running in production 18 months later."
Head of Infrastructure
Healthcare Technology Platform, Spain
2024

Anonymous by request

100% automated deployments
"The GitOps implementation with ArgoCD completely eliminated our manual deployment errors. From day one, every change was tracked, versioned and automatically rolled back if something failed. Exactly what we needed in a regulated environment."
VP of Engineering
Financial Services Platform, Spain
2025

Anonymous by request

4 projects reusing same modules
"Their Terraform modules are production-grade. We reused the same architecture patterns across 4 different client projects with minimal changes. The OIDC-only credential approach was a requirement from our security team — they delivered it from day one."
Senior DevOps Engineer
Cloud Native SaaS, LATAM
2025

Anonymous by request

Engineering notes.

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