DevOps Platform

The DevOps Platform is the result of eight years of refinement — everything we have learned from building and operating production infrastructure across 53 client engagements, distilled into a fully automated, deployment-ready platform.

If your team has one or two DevOps engineers, they would need years of trial and error to assemble something equivalent: selecting the right combination of tools, configuring them to work together reliably, hardening security, building monitoring, automating deployments. We have already done that work — and automated the entire deployment.

This is the foundation we deploy for every DevOps-as-a-Service engagement.

Why This Exists

After 53 engagements, we noticed a pattern. Regardless of company size or industry, every client needs the same core capabilities:

• A cloud environment with proper account isolation and security baselines.
• Automated CI/CD pipelines that developers can use without DevOps intervention.
• Comprehensive monitoring, alerting, and log management.
• Container orchestration with autoscaling and zero-downtime deployments.
• Secrets management, TLS automation, and infrastructure as code.

Instead of rebuilding these from scratch for every client, we consolidated our proven configurations into a single, fully automated platform. It is not a software product — it is knowledge, tooling, and configuration, battle-tested across dozens of production environments.

Core Components

We typically deploy with the stack below, but adapt to your existing tools and preferences. If your organisation uses GitLab, Azure, or GCP instead of GitHub and AWS, the platform adjusts accordingly.

• Version Control — GitHub (or GitLab) for collaboration and code management.
• CI/CD — GitHub Actions (or GitLab CI) for automated build, test, and deployment pipelines.
• Cloud Provider — AWS as the default, with full support for Google Cloud, Azure, and multi-cloud setups.
• Infrastructure as Code — Terraform Cloud for consistent, repeatable provisioning.
• Container Orchestration — AWS EKS (Kubernetes) with Helm for packaging and deployment.
• DNS & CDN — Cloudflare for fast, secure content delivery.
• Monitoring & Observability — Grafana Cloud and Grafana Loki for metrics, dashboards, and centralised log management.
• Incident Management — PagerDuty for escalation workflows and on-call rotation.
• Secrets Management — AWS Secrets Manager for secure credential injection into running containers.

Intelligent Operations

The platform includes AI-powered capabilities that go beyond traditional monitoring:

• Anomaly detection — Grafana ML identifies unusual patterns in metrics and logs before they become incidents.
• Intelligent alerting — AI-driven alert correlation reduces noise and surfaces only actionable incidents, eliminating alert fatigue.
• Automated incident triage — Suggested remediation steps based on historical incident patterns across our client base.
• Resource optimisation — ML-driven scaling recommendations that balance performance and cost based on actual usage patterns.

Built for Stability

• Environment isolation — Staging and production run in separate AWS accounts managed via AWS Organizations. Full separation of concerns.
• Blue-green deployments — Zero-downtime releases. Faulty deployments are rolled back automatically.
• Autoscaling — From Kubernetes pods to cluster nodes, resources scale dynamically to match demand without overprovisioning.

Deployment Timeline

Day 1 — Discovery and analysis. We interview your team to understand application architecture, environment requirements, security policies, and access controls.

Day 2 — Platform deployment. AWS accounts, Terraform Cloud, CI/CD pipelines, Kubernetes clusters, AI-powered monitoring, log management, secrets management, and autoscaling — all provisioned and configured.

Day 3 — Validation. A sample microservice is deployed end-to-end through staging and production to verify every component works together.

Day 4 — Training and handover. Hands-on sessions covering microservice deployment, CI/CD management, monitoring, and incident response. Your team operates independently from this point.

Ongoing — 24/7 monitoring and support. Proactive AI-driven alerting, incident response, and continuous optimisation. 4-hour SLA for critical issues.

What Your Team Gets

• Speed — Deploy a new microservice in under one minute.
• Self-sufficiency — Your developers manage their own services without depending on a DevOps engineer for every change.
• Automation — TLS certificates, log collection, metrics, and alerting are configured automatically.
• Scalability — The platform grows with your workload. No manual intervention required.
• EU data residency — Infrastructure runs in European regions by default. GDPR-compliant operations.

See This in Action

European e-commerce platform reduced deployment time by 40% — We built and optimised CI/CD pipelines for a 200+ person company in Amsterdam, eliminating manual deployments and reducing unplanned rollbacks by 60%. Read the full case study →

Munich startup launched scalable IoT infrastructure — A Google Cloud and Kubernetes architecture supporting multi-region expansion for a self-service warehousing company, delivered over 1.5 years. Read the full case study →

Book a free 30-minute introduction meeting with us.