Platform Engineering & Internal Delivery Platforms in Germany
We design and operate internal platforms that standardize how software is built, deployed, and operated — across teams, products, and environments. Instead of isolated DevOps tasks, we create production-ready delivery systems: CI/CD as a platform, Kubernetes as an internal product, and infrastructure that scales with your organization.
H-Studio builds internal delivery platforms for engineering organizations in Germany and Europe. We combine platform engineering, CI/CD standardization, Kubernetes-based environments, and governance-by-design to eliminate fragile deployments, tribal knowledge, and manual operations.
Internal Delivery Platform (IDP) for Engineering Teams
We design and operate internal delivery platforms that define how software is built, tested, deployed, and operated across your organization. Instead of maintaining scattered CI/CD scripts and fragile pipelines, teams get a standardized delivery layer — versioned, observable, and governed by design.
What the platform includes:
Standardized CI/CD as a Platform
Opinionated pipelines for build, test, security checks, and releases — used consistently across teams.
Multi-Environment Delivery Layer
Controlled promotion between dev, staging, and production with approvals and rollback strategies.
Secrets & Access Governance
Centralized secrets management, OIDC, RBAC, and audit trails — no secrets in pipelines.
Kubernetes-Native Release Management
GitOps-based releases (ArgoCD / Flux) with predictable rollouts and zero-downtime strategies.
Observability & Release Visibility
Deployment status, failure signals, and performance metrics visible to both engineers and leads.
Implemented using GitHub Actions, Kubernetes, GitOps tools, and cloud-native infrastructure — adapted to your stack and compliance requirements.
Platform Foundations: Infrastructure, Delivery & Reliability
A unified platform layer that defines how infrastructure is provisioned, how software is delivered, and how reliability is enforced — consistently across teams and environments.
We don't treat infrastructure, CI/CD, and monitoring as separate concerns. We design platform foundations where environments are reproducible, deployments are governed by default, and reliability is built into the system — not enforced manually by engineers. This removes configuration drift, tribal knowledge, and fragile operational practices as teams and systems scale.
- Reproducible environments across teams and regions
- Version-controlled infrastructure with clear ownership
- Changes applied through controlled workflows
- No manual configuration or environment drift
Why it matters
Platform Extensions: Engineering & Operations Automation
Automation layers built on top of the platform — for companies where infrastructure must support complex engineering logic, not just application deployment.
For engineering-driven organizations, infrastructure alone is not enough. We extend the platform with automation services that encode engineering rules, calculations, and approval logic directly into the system — eliminating spreadsheets, manual handoffs, and fragile internal tools. These extensions run on the same platform foundations: versioned, auditable, and fully integrated into delivery and operations.
Why it fits the platform
Platform Rollout & Adoption Governance
Enterprise-grade rollout of DevOps platforms, CI/CD pipelines, and automation systems — without downtime, disruption, or operational risk.
Building a platform is only half the work. The real challenge is introducing it into existing teams, workflows, and production environments. We manage controlled rollouts of DevOps and platform systems — ensuring that infrastructure, CI/CD, internal tools, and automation are adopted safely, predictably, and without breaking ongoing operations. This is not training — it is platform adoption engineering.
What's included
Why it matters
- •Zero disruption to production systems
- •Predictable adoption across teams
- •No shadow workflows or parallel tooling
- •Compliance-ready from day one
- •Platform ownership stays clear and centralized
Our platform engineering work supports companies across Germany with safe rollouts, stable adoption, and production-ready systems — not experimental infrastructure.
Built for Teams That Operate at Scale
Platform engineering for organizations where systems, workflows, and reliability directly impact revenue, delivery, and compliance. Whether you are modernizing legacy internal tools, increasing operational reliability, or replacing slow, manual workflows — we build platforms that scale with your teams, not against them.
Clients
Enterprise case studies and client projects showcasing our DevOps, CI/CD, and Kubernetes expertise.
Platform Contexts We Engineer For
We design and operate internal platforms for teams working under high load, strict compliance, or rapid delivery pressure.
Each context requires different architecture, governance, and automation models — we build accordingly.
Regulated & Compliance-Driven Platforms
For organizations operating under strict security, audit, and compliance requirements. PCI-DSS, ISO27001, GDPR, segregation of duties, audit trails & approval flows, controlled CI/CD & infrastructure changes. Typical teams: banks, fintechs, payment providers, lending platforms.
Multi-Tenant & Product Platforms
For SaaS and internal product teams shipping frequently without breaking production. Multi-tenant Kubernetes architectures, preview environments & feature isolation, CI/CD with safe rollouts, observability across tenants. Typical teams: SaaS companies, internal platforms, B2B software vendors.
High-Traffic & Peak-Load Platforms
For platforms with unpredictable traffic, seasonal peaks, and revenue-critical uptime. Autoscaling & load-aware deployments, zero-downtime releases, infrastructure cost control, incident-ready monitoring. Typical teams: e-commerce, marketplaces, booking & ticketing systems.
Platform & Infrastructure Capabilities
We engineer internal platforms, delivery systems, and automation layers for companies where reliability, scale, and governance matter. Each capability below is part of a single platform architecture — not isolated services.
DevOps, CI/CD & Platform Engineering
Foundations for predictable delivery and stable production systems.
- •CI/CD pipelines as governed delivery systems (GitHub Actions)
- •Kubernetes platforms for production workloads
- •Infrastructure as Code (Terraform / Pulumi)
- •GitOps-based deployment & environment control
Backend & Platform Services
Backend systems designed to run reliably inside modern platforms.
- •Java / Spring Boot microservices for high-load systems
- •Event-driven architectures (Kafka, async workflows)
- •API layers: REST / GraphQL / gRPC
- •ERP / CRM integrations as platform components
Internal Tools & Engineering Automation
Automation of business and engineering logic inside the platform.
- •CPQ systems & configuration engines
- •Technical calculators & rule-based logic
- •Document generation & workflow automation
- •Engineering approval & validation flows
Operational Automation & AI Systems
AI used to automate internal operations — not marketing gimmicks.
- •Internal AI assistants for teams
- •Predictive analytics for operations & delivery
- •Automated reporting & decision support
- •Document parsing & structured extraction
Integration & Data Synchronization Layer
Connecting internal systems into a single operational platform.
- •ERP integrations (SAP, Microsoft, 1C, Odoo)
- •CRM automation (HubSpot, Salesforce, Bitrix24)
- •ETL pipelines & data normalization
- •Event-driven, multi-system automation
Architecture & Platform Advisory
Senior-level guidance for complex systems and platform decisions.
- •Architecture & platform audits
- •CI/CD & cloud migration strategies
- •Performance & reliability optimization
- •CTO-level advisory & system reviews
How We Work
From platform architecture to controlled production rollout. We design, build, and operate internal platforms using a structured engineering lifecycle — focused on reliability, reproducibility, and long-term scalability.
Architecture & System Mapping
We analyze your existing infrastructure, workflows, dependencies, and operational constraints to identify structural bottlenecks, failure points, and sources of technical debt. Outcome: a clear, documented view of how your systems actually work — not how they are assumed to work.
Platform & Delivery Design
We define the target platform architecture: data models, service boundaries, CI/CD flows, environments, access models, and automation rules. Outcome: a coherent platform design that supports safe change, predictable delivery, and team autonomy.
Build & Platform Engineering
We implement platform components: internal tools, automation engines, backend services, CI/CD pipelines, and infrastructure layers — all versioned, observable, and reproducible. Outcome: working systems, not prototypes or slideware.
Integrate & Operationalize
We integrate the platform with ERP, CRM, cloud services, document systems, and internal tools — ensuring consistent data flow, governance, and auditability. Outcome: the platform becomes part of daily operations, not a parallel system.
Rollout & Team Enablement
We roll out the platform through staged environments, controlled access, and structured onboarding. Documentation, role-based guides, and training ensure adoption without operational disruption. Outcome: teams can use, maintain, and evolve the platform independently.
Architecture & System Mapping
We analyze your existing infrastructure, workflows, dependencies, and operational constraints to identify structural bottlenecks, failure points, and sources of technical debt. Outcome: a clear, documented view of how your systems actually work — not how they are assumed to work.
Platform & Delivery Design
We define the target platform architecture: data models, service boundaries, CI/CD flows, environments, access models, and automation rules. Outcome: a coherent platform design that supports safe change, predictable delivery, and team autonomy.
Build & Platform Engineering
We implement platform components: internal tools, automation engines, backend services, CI/CD pipelines, and infrastructure layers — all versioned, observable, and reproducible. Outcome: working systems, not prototypes or slideware.
Integrate & Operationalize
We integrate the platform with ERP, CRM, cloud services, document systems, and internal tools — ensuring consistent data flow, governance, and auditability. Outcome: the platform becomes part of daily operations, not a parallel system.
Rollout & Team Enablement
We roll out the platform through staged environments, controlled access, and structured onboarding. Documentation, role-based guides, and training ensure adoption without operational disruption. Outcome: teams can use, maintain, and evolve the platform independently.
Results
Reduction in manual work across engineering, operations, and internal teams
Faster and safer delivery through CI/CD-driven platform workflows
Saved through reduced errors, fewer incidents, and optimized infrastructure operations
These results reflect why companies choose us as a platform engineering and DevOps partner in Germany — not just a service provider.
AI-Ops Assistant
Operational intelligence for internal platforms
An internal AI layer embedded into your platform — designed to assist engineering, operations, and business teams by interacting directly with infrastructure, pipelines, systems, and operational data. This is not a chatbot. It is an operations-aware assistant connected to your real systems.
Assists platform & DevOps operations
- •Executes and validates routine operational tasks (deploy checks, environment status, pipeline state)
- •Answers infrastructure and platform questions using real system data
- •Surfaces risks, misconfigurations, and next operational steps
Supports internal workflows
- •Generates technical documents, reports, and specifications from live systems
- •Summarizes incidents, deployments, and changes
- •Provides context-aware guidance across DevOps, engineering, and operations
Integrates into your platform
- •Git, CI/CD pipelines, Kubernetes clusters
- •Cloud infrastructure and databases
- •ERP / CRM systems and internal tools
- •Monitoring, logs, metrics, and alerts
Why it matters
Traditional DevOps platforms are powerful — but cognitively expensive. The AI-Ops Assistant reduces operational load by turning platform data into actionable intelligence.
- •Fewer interruptions for senior engineers
- •Faster decisions without context switching
- •Lower operational risk through guided actions
- •Better knowledge retention inside the platform
Designed for
- •Platform & DevOps teams operating complex environments
- •Engineering teams working with CI/CD and Kubernetes daily
- •Operations & back-office teams interacting with technical systems
- •Manufacturing & industrial companies with structured rules and workflows
- •Any organization where internal processes rely on repeatable logic
How it is delivered
The assistant is not a standalone product. It is implemented as part of your internal platform — with controlled access, auditability, and integration into existing workflows. Built, configured, and deployed alongside your infrastructure.
What Our Clients Say
Real feedback from companies we've helped build reliable, scalable platforms
“ChronoAI now runs on the infrastructure H-Studio engineered — automated deployments, full monitoring, real-time analytics, and a backend that simply stays up. They transformed a rough SaaS concept into a production-ready platform in weeks. Every release is predictable, every environment is consistent, and performance remains stable even under load. This level of reliability and speed is rare in the SaaS world.”
Nikole Mireku Djima
CEO
ChronoAI
“Our hospitality systems were stitched together from different tools and failed us during peak times. H-Studio built a stable backend foundation with automated workflows, integrated data pipelines, and infrastructure that finally scales with the business. Deployments are smooth, downtime is gone, and operations run cleaner than ever. It feels like we moved from improvised solutions to a real engineering platform — one we can rely on every day.”
Nick Allen
Founder
Twin Palms Bali
“H-Studio turned an outdated website into a fast, structured, and technically robust platform. Their mix of engineering discipline and strategic thinking is rare. The new architecture is secure, scalable, and aligned with how decision-makers in Germany actually search and evaluate consultants. For the first time, our digital presence reflects the quality of our advisory work. Excellent technology combined with flawless execution.”
Benjamin Radermacher
Founder & Managing Director
Forschungsmittel.com
“What H-Studio delivered is far beyond typical development work. They built a full internal system that automates calculations, documents, workflows, and integrates with our existing tools. Our preparation time for orders dropped dramatically, and our infrastructure finally runs without interruptions. Updates deploy safely, data syncs automatically, and our team works faster with fewer mistakes. You can tell this is engineered by people who understand real operational complexity.”
Olga Hartung
Head of Production
Zircon Print House
“We came to H-Studio with fragmented production workflows and systems that constantly failed us. Their team built a unified engineering platform: automated calculations, internal tools, deployment pipelines, and a stable infrastructure behind our operations. Today every order goes through a predictable, transparent process with no manual errors or downtime. It's the first time our IT actually supports production instead of slowing it down.”
Tatyana Deeva
Director
Lazur Print House
“ChronoAI now runs on the infrastructure H-Studio engineered — automated deployments, full monitoring, real-time analytics, and a backend that simply stays up. They transformed a rough SaaS concept into a production-ready platform in weeks. Every release is predictable, every environment is consistent, and performance remains stable even under load. This level of reliability and speed is rare in the SaaS world.”
Nikole Mireku Djima
CEO
ChronoAI
“Our hospitality systems were stitched together from different tools and failed us during peak times. H-Studio built a stable backend foundation with automated workflows, integrated data pipelines, and infrastructure that finally scales with the business. Deployments are smooth, downtime is gone, and operations run cleaner than ever. It feels like we moved from improvised solutions to a real engineering platform — one we can rely on every day.”
Nick Allen
Founder
Twin Palms Bali
“H-Studio turned an outdated website into a fast, structured, and technically robust platform. Their mix of engineering discipline and strategic thinking is rare. The new architecture is secure, scalable, and aligned with how decision-makers in Germany actually search and evaluate consultants. For the first time, our digital presence reflects the quality of our advisory work. Excellent technology combined with flawless execution.”
Benjamin Radermacher
Founder & Managing Director
Forschungsmittel.com
“What H-Studio delivered is far beyond typical development work. They built a full internal system that automates calculations, documents, workflows, and integrates with our existing tools. Our preparation time for orders dropped dramatically, and our infrastructure finally runs without interruptions. Updates deploy safely, data syncs automatically, and our team works faster with fewer mistakes. You can tell this is engineered by people who understand real operational complexity.”
Olga Hartung
Head of Production
Zircon Print House
“We came to H-Studio with fragmented production workflows and systems that constantly failed us. Their team built a unified engineering platform: automated calculations, internal tools, deployment pipelines, and a stable infrastructure behind our operations. Today every order goes through a predictable, transparent process with no manual errors or downtime. It's the first time our IT actually supports production instead of slowing it down.”
Tatyana Deeva
Director
Lazur Print House
Frequently Asked Questions
Platform Engineering, DevOps & Internal Automation
We design automation directly into your platform: CI/CD pipelines, Kubernetes workflows, infrastructure provisioning, internal tools, and approval flows. Instead of isolated scripts or manual steps, we build repeatable, versioned, and observable workflows that reduce operational risk and human error.
Costs depend on scope and complexity. Typical ranges: CI/CD & pipeline modernization: 3–8 weeks; Kubernetes / platform setup or refactoring: 1–3 months; Internal tools & engineering automation: 2–4 months; End-to-end platform engineering programs: 3–6 months. We always start with a technical audit to define scope, risks, and a realistic roadmap before implementation.
Yes. Platform engineering only works when systems are connected. We integrate with: Git & CI/CD: GitHub, GitLab, Jenkins; Kubernetes & cloud infrastructure; Monitoring & observability systems; ERP & CRM: SAP, Microsoft Dynamics, HubSpot, Bitrix24; Internal tools, databases, and document systems. Your platform becomes a single operational system, not disconnected tools.
In platform engineering, CPQ is treated as an internal system, not a sales add-on. It is implemented as: a rules-based calculation engine; version-controlled logic; automated document and approval workflows; integrated CI/CD and deployment pipelines. This ensures pricing, configurations, and specifications are predictable, auditable, and scalable.
By removing manual routing and tribal knowledge. We implement: automated approval flows with clear ownership; document generation from live system data; status tracking and audit trails; role-based access and permissions. The result: fewer delays, fewer errors, and full transparency across teams.
From infrastructure to platform automation and internal systems, we help teams eliminate manual work, reduce operational risk, and move faster — without breaking production.
We analyze your platform and workflows and show concrete improvements within the first month.
Design, automate, and operate production-ready infrastructure and internal systems.
We analyze your platform and workflows and show concrete improvements within the first month.
Transform your platform — securely, predictably, at scale.
Design, automate, and operate production-ready infrastructure and internal systems.