Assess, migrate and modernise infrastructure and applications with an architecture balancing resilience, security, flexibility and operating cost.
Moving a poorly understood workload to public cloud can relocate complexity without removing it. Cloud transformation should begin with applications, dependencies, availability needs, security, recovery, team capability and economics.
Zimpl helps decide which workloads benefit from cloud, what migration approach fits each one, and where simpler hosting or an existing environment remains the better choice. The objective is a stronger operating model, not a cloud badge.
Cloud adoption is a lifecycle. Architecture, migration and operations need to be considered together.
Review workloads, dependencies, security, operations and economics before deciding what should move and why.
Define target environments, sequencing, data movement, DNS, testing, cutover and rollback for controlled migration.
Move appropriate applications from restrictive or ageing hosting into environments better suited to their architecture.
Use public-cloud services selectively for compute, storage, database, networking, security and managed capabilities.
Design backup, recovery and availability according to business impact rather than generic infrastructure targets.
Establish administrative access, network boundaries, secrets, encryption and platform controls appropriate to the workload.
Make cloud consumption visible and balance performance, resilience and operating cost.
Define logs, alerts, health checks and responsibilities so cloud systems can be operated rather than merely deployed.
Improve applications and infrastructure in stages instead of combining every migration with a high-risk rewrite.
Some workloads can be moved largely as they are. Others benefit from platform changes, managed databases, object storage or redesigned deployment. A smaller number may justify deeper application modernisation.
We separate migration from modernisation decisions so risk is explicit. Combining data migration, infrastructure movement and a complete rewrite into one cutover may create more risk than value. In other cases, carrying a fragile architecture unchanged into cloud simply preserves the original problem.
Consumption-based services can be efficient, but poorly sized resources, unnecessary data movement, idle environments or over-engineered resilience create avoidable cost.
Inventory workloads, data, dependencies, traffic, security, recovery, licences and operational ownership.
Select target architecture and migration pattern; define identity, networking, backups, monitoring and cost expectations.
Move data and services through controlled steps with testing, cutover criteria and rollback planning.
Monitor reliability, security, performance and spend; modernise further where evidence justifies it.
Production environments need clear administrative access, monitoring, backup, patching, incident handling and cost ownership. Without those responsibilities, cloud flexibility can turn into operational uncertainty.
We define operational expectations alongside architecture so the organisation knows how health is observed, who responds to failures, how recovery works and how consumption is reviewed.
No. Workloads should move when cloud improves fit, resilience, flexibility, integration or operating model. Some systems may be better retained or hosted more simply.
Often yes. Rehosting or replatforming can separate migration risk from deeper application modernisation. The right pattern depends on the workload.
Yes. Architecture is selected according to workload and organisational requirements rather than assuming one platform is always correct.
Cost is considered during architecture and operation through appropriate sizing, service selection, environment lifecycle, storage and data-transfer awareness, monitoring and budgets where needed.
The environment still needs ownership, monitoring, backup, security maintenance, incident response and cost review. These responsibilities should be defined before production cutover.
Assess the workloads and economics before committing to the destination.