DevOps, CI/CD & Infrastructure Engineering Services for Global Teams

We design, automate, and operate reliable infrastructure, deployment pipelines, and internal engineering systems for teams worldwide. Services are provided remotely and on-site depending on project scope.

What We Deliver: DevOps, CI/CD & Infrastructure Engineering

Our work covers DevOps, CI/CD (GitHub Actions), Kubernetes, cloud architecture, backend engineering, internal tooling, workflow automation, and infrastructure engineering — everything required for fast, predictable, scalable software delivery.

We deliver end-to-end engineering for CI/CD, cloud infrastructure, DevOps automation and platform reliability — fully aligned with the technical requirements. Whether modernizing mid-market companies, industrial firms or growing SaaS products: our solutions are stable, auditable and designed for long-term scaling.

GitHub Actions & CI/CD Foundations

Core CI/CD automation with GitHub Actions — production-ready workflows, pipeline modernization, multi-environment deployments, and DevOps transformation.

GitHub Actions workflows & CI/CD pipelines

Production-ready CI/CD automation with GitHub Actions, automated testing, security scanning, and multi-environment deployments.

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CI/CD pipeline modernization

Transform manual deployments into automated, reliable pipelines with deployments designed to minimize downtime and release-related interruptions, and comprehensive testing.

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DevOps consulting & implementation

Strategic DevOps transformation, best practices, and hands-on implementation for engineering teams.

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Advanced GitHub Actions Engineering

Advanced GitHub Actions infrastructure — self-hosted runners, matrix builds, Terraform automation, and Kubernetes release pipelines.

GitHub Actions Self-Hosted Runners Setup

High-performance runners for secure, fast, and cost-efficient CI/CD. Greater control and flexibility, significantly reduce build times compared to shared runners depending on workload and caching strategy, and execution within controlled infrastructure depending on the deployment model.

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Matrix Builds & Parallel Pipelines

High-speed, parallelized CI/CD pipelines that significantly improve build, test, and deployment workflows across large engineering teams.

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Terraform CI/CD Workflows (Multi-Environment)

Automated plan/apply workflows, environment separation, compliance enforcement, drift detection, and full auditability across infrastructure lifecycle.

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GitHub → Kubernetes Release Automation

Fully automated, consistent Kubernetes releases from GitHub Actions with deployments designed to minimize downtime and release-related interruptions, secure workflows, GitOps controllers, and rollout strategies.

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GitHub Actions Deployments, Environments & Security

Secure Kubernetes deployments, multi-environment flows, secrets management, and enterprise-grade security hardening for GitHub Actions pipelines.

Kubernetes Deployment via GitHub Actions

Automated, secure Kubernetes deployments with deployments designed to minimize downtime and release-related interruptions, container build automation, multi-environment flows, and GitOps integrations.

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Multi-Environment Deployment & Promotion Flows

Automated, safe, and predictable deployment flows across dev, staging, and production with approval gates, environment policies, and rollback logic.

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Secrets Management & OIDC for GitHub Actions

Enterprise-grade secrets management with OIDC authentication, encrypted pipelines, automatic secret rotation, and zero-trust security controls.

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GitHub Actions Security Hardening & Compliance

Enterprise-grade CI/CD security, zero-trust architecture, and compliance with OIDC authentication, runner isolation, and secret protection.

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Kubernetes & Cloud Infrastructure Engineering

Production-ready Kubernetes clusters, autoscaling, container orchestration, and cloud environments (AWS, GCP, Azure).

Kubernetes setup, scaling & managed operations

Kubernetes cluster design, deployment, scaling strategies, and 24/7 operations with high availability.

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Cloud infrastructure (AWS/GCP/Azure/Hetzner)

Resilient, scalable cloud architecture with multi-region deployment, disaster recovery, and cost optimization.

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Platform reliability engineering

SRE practices, reliability engineering, incident response, and platform stability improvements.

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Infrastructure as Code (Terraform, Pulumi)

Reproducible, version-controlled cloud infrastructure with Terraform, Pulumi, and Crossplane. Infrastructure drift effectively eliminated through Git-based workflows.

Terraform infrastructure automation

Infrastructure-as-Code with Terraform for cloud provisioning, state management, and infrastructure versioning.

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Cloud provisioning automation

Automated cloud resource provisioning, configuration management, and infrastructure lifecycle management.

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GitOps Workflows (ArgoCD / Flux)

Declarative deployments through Git with automated rollouts, sync, drift detection, and compliance.

ArgoCD implementation & consulting

GitOps workflows with ArgoCD for continuous deployment, application sync, and declarative infrastructure management.

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Monitoring, Alerting & Observability

Complete monitoring stacks with Prometheus/Grafana, Loki, Tempo, and alerting built around real SLIs/SLOs.

Prometheus & Grafana monitoring

Full-stack observability with Prometheus metrics, Grafana dashboards, and comprehensive alerting systems.

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Security, Compliance & Secret Management

OIDC-based authentication, least-privilege access, vaults, encrypted secrets, audit logs, and compliance-ready CI/CD flows.

Secret management with Vault

HashiCorp Vault implementation for secure secret storage, rotation, and access control in CI/CD pipelines.

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Backend Engineering & Integrations

Enterprise-grade backend systems, scalable APIs, microservices architecture, and seamless integrations with ERP, CRM, and internal systems.

Backend engineering & API development

Enterprise-grade backend systems, scalable APIs, microservices architecture, and high-performance backend solutions.

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System integrations (ERP/CRM)

Seamless integration with ERP, CRM, and internal systems for unified, reliable data flow and automated workflows.

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Technical Consulting & Architecture

Senior-level consulting on DevOps strategy, CI/CD optimization, cloud cost control, reliability, scalability, and architecture.

DevOps strategy & architecture

Strategic DevOps consulting, architecture design, technology stack selection, and implementation roadmaps.

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Industry-Specific DevOps & CI/CD Solutions

CI/CD, Kubernetes, and cloud security architectures tailored to the specific requirements of regulated, high-growth, and transaction-heavy industries.

Why

Why companies choose H-Studio

H-Studio builds platforms that enable long-term stability — not quick fixes.

Deep DevOps, CI/CD, GitHub Actions, Kubernetes and cloud expertise

Fully tailored architecture and workflow alignment

Significantly faster release cycles in modernized CI/CD environments

Reduced manual operational overhead through automation

Infrastructure architectures designed to support high availability and operational resilience

Experience across SaaS, industrial, and enterprise projects worldwide

Clear documentation, transparent roadmaps and rigorous engineering standards

Results observed in selected client projects, depending on system complexity, baseline maturity, and implementation scope.

Case Studies

CI/CD Pipeline Modernization for High-Load SaaS

Challenge

Slow, manual deployments, frequent downtime during releases, no automated testing or security checks, staging and production environments not properly separated.

Solution

We implemented automated deployment workflows, Docker containerization, Kubernetes orchestration, and ArgoCD for GitOps-based releases. Automated test suites, security scanning, and environment promotion flows.

Result
  • Significantly faster deployment cycles compared to the previous setup, with deployments designed to minimize downtime and release-related interruptions
  • Automated tests and security checks in every pipeline
  • Complete staging/production environment separation
  • Full automation with automated deployment workflows

GitOps Infrastructure Platform for Distributed Teams

Challenge

Infrastructure drift, manual environment provisioning, inconsistent configurations across teams, no version control for infrastructure changes.

Solution

We built a GitOps platform using FluxCD for continuous deployment, Terraform for Infrastructure-as-Code, and AWS cloud services. All infrastructure changes managed through Git workflows.

Result
  • Fully reproducible infrastructure across all environments
  • Infrastructure drift significantly reduced through GitOps automation
  • 10+ environments managed through Git workflows
  • Automated environment provisioning and updates

Enterprise Monitoring & Observability Stack

Challenge

Fragmented logging, slow incident response, no unified monitoring, reactive troubleshooting instead of proactive issue detection.

Solution

We migrated to Prometheus for metrics collection, Grafana for visualization and dashboards, and Loki for centralized logging. Integrated alerting and incident response workflows.

Result
  • Unified logging and monitoring across all systems
  • Up to 40% faster incident response time
  • Early issue detection with proactive alerts
  • SLA stability and improved system reliability

Secure Secret Management for Fintech

Challenge

Secrets hardcoded in code, no rotation policy, compliance risks, no audit trail for secret access, encrypted pipelines not properly configured.

Solution

We implemented CI/CD with GitHub using OIDC authentication, HashiCorp Vault for secret management, automated secret rotation, and encrypted pipeline configurations.

Result
  • Compliant secret rotation with automated policies
  • Fully encrypted CI/CD pipelines
  • Role-based access control and full audit logs
  • Zero secrets in code repositories

The results described are based on internal project metrics and client-provided data during the respective engagement. Actual outcomes may vary depending on system complexity, team structure, and baseline conditions.

The results described are based on internal project metrics and client-provided data during the respective engagement. Actual outcomes may vary depending on system complexity, team structure, and baseline conditions.

Blog

Articles about DevOps, CI/CD, Kubernetes, cloud infrastructure, backend engineering, and automation for modern companies.

DevOps & Infrastructure Engineering Services | H-Studio