Secure, elastically scalable enterprise cloud environments on AWS, GCP, and Azure designed for 99.99% uptime and zero-trust security.
Migrating to the cloud without architectural refinement simply transfers technical debt to expensive data centers. True cloud engineering re-architects compute, storage, and networking for elasticity and zero-trust security.
We design cloud topologies according to the AWS/GCP/Azure Well-Architected Frameworks, implementing declarative Infrastructure as Code (IaC) to ensure 99.99% availability, sub-second latency, and predictable monthly infrastructure costs.
Monthly infrastructure bills are skyrocketing because legacy applications were "lifted and shifted" without optimization.
On-premise hardware is aging out and the business wants to exit the data center management business entirely.
The current cloud footprint lacks proper identity and access management (IAM), exposing critical databases to the public internet.
Companies needing a scalable foundation that won't collapse when user acquisition rapidly accelerates.
Organizations in healthcare or finance that require strict data residency and audited compliance in the cloud.
Before migrating any workloads, when you need a clear blueprint of the target architecture and estimated run rates.
When your current cloud environment has become a tangled, unmanageable "spaghetti architecture" that needs to be refactored.
Designing the complete infrastructure footprint (VPCs, subnets, database clusters) for a brand new application.
Systematically migrating a legacy on-premise application into managed cloud services (e.g., moving SQL Server to RDS).
Architecting a workload to span AWS and GCP simultaneously to achieve absolute maximum resilience against regional outages.
A deep-dive audit of an existing cloud environment to identify security flaws, cost leaks and reliability risks.
A turnkey engagement to architect the new environment, move the data and successfully cut over traffic.
We analyze current resource utilization (CPU, memory, IOPS) to right-size target cloud instances, design security controls, and forecast run rates.
We design isolated network topologies (VPCs, subnets), least-privilege IAM roles, and disaster recovery (DR) strategies before provisioning resources.
We write modular Terraform/OpenTofu code that defines the entire cloud environment, enforcing version control and automated deployments.
We synchronize production databases, conduct load testing in the target cloud, and execute a flawless DNS cutover during planned windows.
Following a successful deployment or migration, we provide comprehensive documentation of the cloud topology. Clients can choose to operate the environment internally or transition into our Managed Infrastructure service for 24/7 SLA-backed operational support.
Deploying to the optimal major cloud provider based on your technical and business requirements.
Using industry-standard IaC to make infrastructure versionable, reviewable and repeatable.
Containerizing workloads to ensure they run consistently across any cloud provider.
We are cloud-agnostic. We recommend the provider that best fits your existing skillsets, enterprise agreements and specific technical requirements (e.g., GCP is often preferred for heavy data analytics, while Azure is dominant in Microsoft-heavy enterprises).
We design architectures to minimize lock-in by favoring containerization (Docker/Kubernetes) and open-source managed services (like PostgreSQL). However, we balance this against the operational benefits of using deeply integrated native cloud services.
For critical databases, we establish continuous replication from the on-premise source to the cloud target. During the cutover window, we simply pause writes, sync the final bytes and flip the DNS, resulting in minutes rather than hours of downtime.
Skip the generic sales calls. Speak directly with a KryoNex Solutions Architect to map your current architecture, identify engineering bottlenecks and design a scalable path forward.
Review your current tech stack and bounded contexts with a senior engineer.
Establish realistic milestones, engineering phases and capacity requirements.