We evaluate your existing systems, workloads, security requirements and growth goals together. We build a practical cloud roadmap that covers the right cloud model, target architecture, migration waves, cost controls and operating standards.
Cloud infrastructure consulting is not just moving servers to another environment. By evaluating applications, data, network structure, identity management, operating processes and business continuity requirements together, it establishes the right cloud model and a sustainable operating approach.
Define a public, private or hybrid cloud approach and migration priorities based on your business goals, regulatory and data requirements.
Design application, data, network, integration and platform components around your performance and scalability goals.
Make identity, authorization, network, data protection, backup and disaster recovery controls a core part of the infrastructure.
Manage cloud resources in a controlled and sustainable way with monitoring, alerting, capacity, automation and cost visibility.
We treat cloud infrastructure not merely as servers and storage resources, but as an enterprise platform in which application architecture, data, network, identity, security, automation, operations and cost management work together.
Determine cloud suitability by assessing existing application, data, infrastructure, licensing and operational dependencies.
Shape your public, private or hybrid cloud approach together with business value, security, cost and operational goals.
Build a scalable cloud foundation with standards for accounts, subscriptions, network, identity, security, logging and resources.
Move workloads to the cloud with the right migration or modernization method, based on dependencies, risk and downtime expectations.
Combine identity, authorization, network, data and workload protection with backup, disaster recovery and audit requirements.
Manage infrastructure as code; turn monitoring, capacity, cost, incident and change processes into a measurable operating model.
For standard and variable workloads, public cloud can offer fast access and a broad range of services. When there are dependencies on private infrastructure, data residency or latency requirements, a private or hybrid approach may be more suitable.
Suited for workloads that want fast resource provisioning, elastic capacity and managed services.
Designed to make use of cloud capabilities in a controlled way while preserving specific data, regulatory, latency or existing infrastructure requirements.
If several of the following apply to your organization, hybrid placement may be a better fit than moving all workloads to a single model.
We tailor cloud architecture to the application type, data sensitivity, traffic pattern and operational goals, designing the right infrastructure for needs ranging from customer applications to data platforms, disaster recovery to development environments.
Run customer and employee applications with elastic capacity, high availability, secure networking, automated deployment and observability.
Bring data from different sources together at scale in secure storage, processing, analytics and reporting services.
Back up critical applications and data according to target recovery times; build a validated recovery plan in a different environment or region.
Create standard and temporary environments with code; manage testing, security checks and release processes in automated delivery pipelines.
Migrate existing applications while preserving business continuity; transform suitable components to managed services, containers or a modern architecture.
Automatically increase capacity during campaigns, seasons and growth periods; cut unnecessary resource consumption when demand drops.
We run the move to the cloud not as a one-off technical lift, but as a phased program in which workloads and dependencies are analyzed, architecture and security are designed up front, migrations are validated in waves and operations are continuously improved.
We clarify business goals, existing application and infrastructure components, data classes, operational expectations and critical dependencies.
We assess workloads against technical suitability, security, licensing, performance, continuity, cost and operational requirements.
We design the cloud foundation, including standards for organization, network, identity, security, logging, backup and resource management.
We group workloads by dependency, value, risk and downtime tolerance, and prepare resource, schedule, testing and rollback plans.
We validate the priority workload with a controlled pilot and complete data, application and service migrations with performance and security testing.
We set up monitoring, alerting, incident, capacity, security and cost management, and regularly evolve the infrastructure to meet performance and business needs.
A well-designed cloud architecture makes resource use flexible, strengthens security and continuity standards, automates repetitive work for operations teams and lets you manage technology costs transparently.
Increase or decrease resources in a controlled way as traffic, users and transaction loads change.
Apply identity, network, data and workload controls consistently through central policies and monitoring.
Protect critical services against outages with redundancy, self-healing, backup and disaster recovery design.
Help development teams move faster and more safely with standard environments, infrastructure automation and a CI/CD approach.
Manage spending by team, application and service through resource ownership, tagging, budgets, alerts and usage analysis.
Reduce manual errors and dependence on individuals by automating setup, configuration, monitoring and incident response.
We treat cloud security not as products added afterward, but as a core part of the architecture, from account and resource organization to identity and network controls, from data protection to logging, compliance and cost policies.
Ensure human and service identities access only the resources, duration and actions needed for their tasks.
Reduce the attack surface and lateral movement risk with network segmentation, private access, firewalls and workload controls.
Classify sensitive data; apply encryption in transit and at rest, backup and controlled key management.
Audit resource configurations with automated policies; track changes and security events through central logs.
From readiness analysis to target architecture, from migration waves to security policies, operations and cost management, we prepare the deliverables you will need across the decision, implementation and operation phases of your cloud program.
A current-state assessment showing application, data, infrastructure, dependency, licensing, risk and migration suitability.
A technical design covering organization, network, identity, security, data, backup, logging and resource management components.
A roadmap covering workload groups, dependencies, migration methods, schedule, resources, testing and rollback steps.
Control standards for identity, network, data, logging, tagging, resource usage, compliance and exception management.
Infrastructure code, deployment templates, policy definitions and standard environment configurations, depending on scope.
An operations package covering monitoring, alerting, incident, change, capacity, backup, cost KPIs and responsibilities.
The most common questions about timelines, costs, working model and support afterwards.
Send your questionA consulting service that analyzes workloads and existing infrastructure to establish the right cloud model, target architecture, security controls, migration plan, and operations and cost management.
The choice depends on the workload's requirements for flexibility, data residency, security, regulation, latency, connection to existing systems, operations and cost. Multiple models can be used together within an organization.
The duration depends on the number of workloads, dependencies, data volume, modernization needs, downtime tolerance and the scope of security and testing. After the analysis, a phased plan is prepared for the pilot and migration waves.
Cost is determined by the workloads to be analyzed, architectural scope, security and compliance requirements, migration support, automation, data transfer and operating model needs.
Cloud security is achieved through the right architecture, configuration and operations. Identity, least privilege, network segmentation, encryption, logging, policies and regular security checks must be applied together.
Technically many applications can be moved, but moving every workload may not be the right call. Placement is decided by assessing licensing, latency, data, hardware dependencies, cost and business value.
RPO and RTO targets are set based on business impact; backup, replication, recovery and regular testing scenarios are designed with data and application dependencies in mind.
Dependence can be managed with portable architecture, open standards, containers, infrastructure code, data export plans and alternative strategies for critical services. Not every component needs to run in a multi-cloud setup.
Let's review your applications, existing infrastructure, data and security requirements, and growth goals together. We'll clarify the right cloud model, the priority workloads and a practical first migration step.
