Cloud & DevOps — Azure, AWS, CI/CD, Kubernetes
Modern cloud infrastructure on Microsoft Azure, AWS and Google Cloud. Automated CI/CD pipelines, Infrastructure as Code, Docker/Kubernetes containerization, serverless architectures. AI workload ready.
About this service
We configure and manage production-ready cloud environments with focus on availability (99.9%+), security (zero-trust, end-to-end encryption) and optimized costs. We work especially with Azure (App Services, Azure Functions, Cosmos DB, Azure OpenAI), but also with AWS (Lambda, ECS, RDS, Bedrock) and Google Cloud Platform.
We automate the entire delivery cycle through CI/CD pipelines (GitHub Actions, Azure DevOps), Infrastructure as Code (Terraform, Bicep, Pulumi) and containerization with Docker and Kubernetes. For AI applications, we configure dedicated model hosting and efficient management of inference costs.
What we deliver
Cloud infrastructure & migration
Azure App Services, AWS ECS/Lambda, Cosmos DB, RDS, S3/Blob Storage. With high availability, disaster recovery, automatic scaling and monitoring.
CI/CD & Infrastructure as Code
GitHub Actions and Azure DevOps pipelines. Terraform or Bicep for automatic provisioning. Fast, predictable, reversible deployments.
Kubernetes & containerization
Containerized applications with Docker, orchestrated with Kubernetes (AKS, EKS, GKE). Auto-scaling, load balancing, service mesh, secrets management.
AI hosting & serverless
Azure Functions, AWS Lambda for event-driven flows. LLM model hosting, Azure OpenAI endpoint management, inference cost optimization.
Tech stack
The same technologies used by Microsoft, Spotify, Pinterest, Airbnb at enterprise scale. Deep specialization in the Azure ecosystem.
- Microsoft Azure
- AWS
- Google Cloud
- Docker
- Kubernetes
- Terraform
- Bicep
- GitHub Actions
- Azure DevOps
- Pulumi
Frequently asked questions
Azure, AWS or Google Cloud — which is right?
Azure if you already use Microsoft 365, need Azure OpenAI or prefer Active Directory integration. AWS for the largest ecosystem and flexibility. GCP for analytics and native AI. We recommend based on your existing stack and specific requirements.
How much do I save by migrating to cloud?
Typically 20-50% reduction in total costs vs on-prem servers, plus elimination of hardware and maintenance costs. Auto-scaling reduces costs at low traffic, and serverless only pays for what you actually use.
How do you manage cloud security?
We use zero-trust architectures, secrets management (Azure Key Vault, AWS Secrets Manager), end-to-end encryption, Kubernetes network policies, IAM with least privilege and continuous monitoring with Azure Sentinel or AWS GuardDuty.
Do you also implement hosting for AI applications?
Yes. We configure Azure OpenAI Service with private deployment, host open-source models on AKS/EKS with GPU nodes, or hybrid solutions. We optimize costs through caching, batching and fallback to cheaper models.
Modernize your cloud infrastructure
Free audit of current infrastructure and migration/optimization plan. We respond within 24 hours with concrete first steps.
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