AWS Cloud Consulting Services for Large-Scale Enterprises

AWS cloud consulting services include cloud strategy, architecture assessment, landing zone design, AWS implementation services, migration, application modernization, security, governance, cost optimization, cloud-native application development, and ongoing operations.

An AWS consulting partner provides architecture, migration, modernization, security, and implementation capabilities that may not be available internally.

A landing zone is a structured multi-account AWS environment that establishes a foundation for account organization, identity, logging, security, and governance. It becomes important when several teams, workloads, environments, or business units need to operate on AWS under consistent controls. AWS Control Tower can establish and govern a landing zone using AWS Organizations and related services.

We begin by assessing applications, servers, databases, dependencies, business criticality, technical constraints, downtime tolerance, security requirements, and target outcomes. Each workload is assigned an appropriate path involving rehosting (using AWS Transform MGN), replatforming, refactoring, retiring, retaining, or replacing. Migration and modernization are planned in waves using AWS Transform, validated before cutover, and followed by stabilization and optimization.

Yes. Our AWS cost optimization services examine cost and usage trends, resource utilization, architecture, scaling, backup, monitoring, operational ownership, and configuration practices using tools like AWS Cost Explorer and AWS Compute Optimizer.

Yes. Capital Numbers provides ongoing AWS managed services covering an agreed combination of monitoring, incident support, backup, security review, configuration management, cost analysis, performance optimization, documentation, and environment improvements. Responsibilities, service boundaries, escalation routes, response expectations, and change-approval processes are defined before the managed engagement begins.

The cost and timeline depend on factors such as workload scope, application and infrastructure dependencies, data volume, migration or modernization complexity, security requirements, testing, cutover constraints, and the level of ongoing support required. We assess these factors before recommending the delivery approach, engagement model, and commercial structure.