Migration, architecture, and management across AWS, Azure, Google Cloud, and Oracle Cloud - hybrid or multi-cloud, right-sized to your workload, not oversold to your budget.
Advatech designs, migrates, and operates cloud infrastructure across every major provider. We're platform-agnostic by design - the right architecture is the one that fits your workload, compliance requirements, and budget, not the one that pays the biggest referral fee.
This covers the full lifecycle: architecture and migration planning, containerized deployment, infrastructure as code, ongoing cost optimization, and the disaster recovery posture to back it all up.
Structured migration of workloads from on-premise or another cloud, planned around minimal downtime.
Architecture spanning on-premise and cloud infrastructure as a single managed environment.
Workload placement and management across more than one cloud provider, avoiding lock-in and improving resilience.
Reference architectures designed for your actual scale, security, and compliance requirements.
Cluster design, deployment, and ongoing management for containerized workloads at scale.
Containerization of applications for consistent, portable deployment across environments.
CI/CD pipeline design and implementation, tying development directly into reliable, repeatable deployment.
Version-controlled, repeatable infrastructure provisioning - no more undocumented manual configuration.
Automated, tested backup of cloud workloads with defined recovery objectives.
Cross-region or cross-provider recovery architecture, tested against real failure scenarios.
Ongoing review of your cloud spend against actual usage, cutting waste without cutting capability.
Workload discovery and dependency mapping across your current infrastructure.
Target architecture defined against cost, compliance, and performance requirements.
Phased migration executed against a tested runbook, with rollback plans at every stage.
Ongoing management, cost optimization, and reliability engineering post-migration.
It depends on your workload, existing tooling, compliance requirements, and regional latency needs - we design architecture around your requirements first, then recommend the provider(s) that fit, rather than defaulting to one platform.
For most workloads, yes - through phased migration and traffic cutover planning. Some legacy systems require a defined maintenance window, which we scope and communicate upfront.
Both - ongoing management, monitoring, and cost optimization are core to the service, not a separate engagement.
Continuous review of resource utilization against actual usage patterns - rightsizing instances, eliminating idle resources, and using reserved/spot capacity where it fits your workload.
Yes - multi-cloud architecture, including workload placement, networking between providers, and unified monitoring, is a core part of this practice.