AWS Cloud Infrastructure Built to Scale With You

An AWS consulting company like DianApps helps businesses plan, architect, migrate, and manage cloud infrastructure on Amazon Web Services. This covers cloud strategy, AWS migration services, application modernisation, DevOps automation, AWS cloud security and compliance governance, and ongoing AWS managed services, handled end to end from first assessment through continuous post-launch optimization.

Most AWS migration services engagements run 6-16 weeks depending on infrastructure complexity, data volumes, and the scope of application modernisation required alongside the move. DianApps delivers a fixed-timeline roadmap at the assessment stage so every stakeholder knows exactly what to expect, and rollback procedures are defined before a single workload moves.

Yes, AWS cloud security is a core DianApps service line. We deliver IAM hardening, cloud security posture management (CSPM), encryption governance via AWS KMS, and compliance architecture for HIPAA, PCI-DSS, SOC 2, and GDPR requirements. In 2026, 88% of enterprise IT teams cite cloud misconfiguration as a top security concern, our security services address identity misuse and configuration drift at the infrastructure layer, not through bolt-on tools.

An AWS consulting partner helps design and implement your cloud strategy. An AWS cloud service provider, or AWS managed service provider, handles the ongoing operations of your environment. DianApps functions as both. We build the infrastructure and manage it post-deployment as a single accountable AWS consulting partner, eliminating the handoff gaps that create problems.

AWS cloud consulting services reduce costs by fixing waste at the architecture level, over-provisioned instances, idle resources, suboptimal storage tiers, and missing Reserved Instance coverage. Through FinOps governance, rightsizing, Savings Plans, and autoscaling tuning, most clients see a 25-40% reduction in monthly AWS cloud spend within 8 weeks. The initial assessment is free and identifies exactly where current spend is going.

Yes. As an AWS cloud consultant for AI infrastructure, DianApps designs and deploys production-ready environments using Amazon Bedrock, SageMaker, and Lambda for inference pipelines. We build the data pipelines, compute environments, and API layers your team needs to run generative AI and ML models at production scale, not just in a development notebook. AI workload infrastructure is now one of our fastest-growing AWS cloud service lines.