Microsoft Enterprise Cloud
control and scalability

Scale resources, maintain stability, and ensure compliance across every business process.

Microsoft Enterprise Cloud
at Scale

The Microsoft enterprise ecosystem includes Azure, Entra ID, Microsoft 365, Defender, Sentinel, Fabric, and Power Platform. Our implementations combine modern cloud capabilities with existing client systems, delivering a coherent operating model while minimizing operational chaos.

Deployments incorporate governance and FinOps from day one: we define roles, access policies, subscription standards, and process automation to control costs, scale resources, and maintain regulatory compliance. Our approach enables faster innovation, centralized management, and auditable processes without requiring replacement of existing infrastructure and legacy systems.

Technology
variants

Cloud platform and hybrid environment

Azure cloud platform

Azure, Azure Landing Zones, Management Groups, Subscriptions, Resource Groups, Azure Policy, Azure Arc

Hybrid and edge environments

Azure Arc-enabled servers, Azure Arc-enabled Kubernetes, Azure Stack HCI, Azure Local, hybrid management

Compute and application hosting

Azure Virtual Machines, Virtual Machine Scale Sets, App Service, Azure Container Apps, Azure Spring Apps

Containers and orchestration

Kubernetes and container platform

Azure Kubernetes Service (AKS), Azure Container Registry, Azure Monitor for containers, autoscaling, node pools

Containers for simpler applications

Azure Container Apps, App Service Containers, Azure Container Instances

Platform engineering for application teams

GitOps, Helm, Azure DevOps, GitHub Actions, workload templates, internal developer platform

Networking and hybrid connectivity

Azure core network

Virtual Network, Subnets, Network Security Groups, UDR, Azure Firewall, NAT Gateway

Hybrid connectivity

ExpressRoute, VPN Gateway, Virtual WAN, Private Link, peering, hub-spoke topology

DNS and traffic distribution

Azure DNS, Azure Front Door, Application Gateway, Load Balancer, Traffic Manager, Content Delivery Network

Data, databases and storage

Relational databases

Azure SQL Database, SQL Managed Instance, Azure Database for PostgreSQL, Azure Database for MySQL

Analytics and data platform

Microsoft Fabric, Azure Synapse Analytics, Data Factory, Data Lake Storage, Databricks on Azure

Storage and lifecycle

Blob Storage, Disk Storage, Azure Files, Archive tiers, lifecycle management

Cache and NoSQL

Azure Cosmos DB, Azure Cache for Redis

Security, identity, and compliance

Identity and access

Microsoft Entra ID, Conditional Access, PIM, RBAC, access reviews, least privilege

Keys, secrets, and certificates

Azure Key Vault, Managed HSM, certificates, secrets rotation

Threat detection and security state management

Microsoft Defender for Cloud, Microsoft Sentinel, Azure Policy, Microsoft Purview, Azure Monitor logs

Automation, IaC and platform engineering

Infrastructure as code

Terraform, Bicep, ARM templates, Azure Verified Modules, policy-as-code

CI/CD and GitOps

Azure DevOps Pipelines, GitHub Actions, Argo CD, Helm, release gates

Platform patterns for teams

landing zone templates, module standards, environment blueprints, self-service provisioning, platform guardrails

Observability and system reliability

Monitoring and logging

Azure Monitor, Log Analytics, Application Insights, workbooks, distributed tracing, diagnostic settings

Configuration and administration

Azure Policy, Azure Resource Graph, Azure Automation, Update Management, inventory, patching

Reliability and operational response

SLI/SLO, alert tuning, incident response, runbooks, service health, disaster recovery

Cost management and cloud profitability

FinOps and cost control

Azure Cost Management, budgets, tags, reservations, savings plans, chargeback/showback, rightsizing

Integration and messaging

Azure Service Bus, Event Grid, Event Hubs, Logic Apps, API Management, Functions

AI, ML and GenAI

AI and GenAI platforms

Azure AI Foundry, Azure OpenAI Service, Azure AI Search

Machine Learning and MLOps

Azure Machine Learning, model registry, pipelines, feature store, model monitoring

AI services and knowledge automation

Azure AI Services, Document Intelligence, Language, Vision, Speech, Content Safety

Microsoft in Industries
cloud-driven transformation

 

 

 

 

 

business
OUTCOME

Faster time-to-market for new products

Azure enables organizations to accelerate the deployment of services and applications, allowing new products to reach the market faster, increasing competitiveness and revenue.

Predictable costs and financial control

With a centralized management model and FinOps reporting, organizations can better plan budgets, avoid overspending, and improve the return on IT investments.

Security and compliance without compromise

Consistent control mechanisms and monitoring minimize business risks and ensure regulatory compliance, protecting company reputation and customer data.

Scalability aligned with business needs

The platform allows dynamic adjustment of resources to changing demand, supporting business growth without excess costs or downtime.

Streamlined processes and operations

Automation and standardization of processes across the organization increase efficiency, reduce errors, and allow teams to focus on achieving business objectives.

Knowledge transfer and organizational maturity

Through proven patterns and expert support, companies quickly enhance operational maturity, increase team autonomy, and maintain high-quality processes.

How We Work with AZURE?

We start by understanding business objectives and the existing infrastructure. We define the deployment roadmap, identify risks, and set priorities to ensure the cloud transformation delivers maximum business value.

 

Our architects create a coherent, scalable Azure architecture, including multi-account structure, security policies, integration with legacy systems, and an operational model for teams. Every design decision is documented and evaluated for risk and ROI.

 

We build the environment 100% as code, using Terraform, Bicep, and policy-as-code. Standardization and automation minimize manual errors, accelerate deployment, and allow teams to focus on delivering functionality.

 

We move applications to the cloud or modernize them towards containers and a microservices platform. We ensure minimal impact on service availability and a smooth transition for teams to the new environment.

 

After launch, we support teams in management, monitoring, and FinOps. We provide know-how, ready-to-use templates, and operational scenarios so the organization can independently maintain stability, security, and predictable costs.

 

CLOUD TRANSFORMATION WITH MICROSOFT AZURE

We design and deploy Azure environments that scale securely and in line with your organization’s requirements.

IMPLEMENTATIONS:
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