AWS Cloud Consulting Services in Houston

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DESSS AWS Cloud Consulting Services in Houston typically cover:

• Readiness assessment, workload inventory and a phased AWS roadmap
• A governed multi-account landing zone with security guardrails
• Migration of applications, servers and databases in tested waves
• Reviews based on the AWS Well-Architected Framework
• Managed AWS operations after go-live

Reviewed by DESSS Cloud Team

Each service is available on its own or as part of a full AWS program.

• Elasticity: capacity grows and shrinks with demand.
• Global infrastructure: as of November 2026, AWS states that its cloud spans 124 Availability Zones within 39 geographic Regions.
• Security tooling: IAM, AWS Key Management Service, Amazon GuardDuty and AWS CloudTrail are ready to configure.
• Breadth of services: databases, analytics, containers, serverless and AI sit on one platform.
• Pay-as-you-go: you pay for what you use, and commitments lower the rate for steady workloads.
• Resilience: workloads can span several Availability Zones or Regions.

• Rehost: Lift and shift moves an application to AWS unchanged. It suits fixed deadlines.
• Replatform: The application moves with targeted optimizations, such as SQL Server moving to Amazon RDS.
• Refactor: The application is re-architected to use cloud-native features. It is the most complex option, so AWS advises it for large migrations only when other strategies will not work.
• Repurchase: The application is replaced by a different product, often SaaS. Data moves across and the old system is switched off.
• Relocate: Many servers move at once from an on-premises platform to its cloud version, such as VMware, without rewriting code.
• Retire: Applications with no business value are decommissioned. Fewer systems mean less to secure.
• Retain: An application stays where it is for now, for example because of dependencies or a recent upgrade.

1. Discovery call. We discuss your environment, deadlines and goals for AWS.
2. Assessment and planning. We inventory workloads, map dependencies and assign each application a strategy and migration wave.
3. Landing zone and design. We build the AWS accounts, network, identity and logging foundation and document the target architecture.
4. Migration or implementation. Servers, databases and applications are replicated or rebuilt on AWS, with infrastructure defined as code.
5. Testing and cutover. Users validate each application before an agreed cutover window.
6. Ongoing management and optimization. We monitor, patch and back up the environment and review cost and security on a regular schedule.

Under the AWS shared responsibility model, AWS is responsible for security of the cloud, the infrastructure that runs AWS services, while the customer is responsible for security in the cloud: data, identities, operating systems and configuration, depending on the services used.

• Identity and access: least-privilege IAM roles, multi-factor authentication and regular access reviews.
• Encryption: data encrypted at rest with AWS Key Management Service and in transit with TLS.
• Logging and detection: AWS CloudTrail for API activity, Amazon GuardDuty for threat detection and AWS Config for configuration history.
• Network controls: private subnets, security groups and controlled internet egress.
• Compliance support: DESSS helps design AWS workloads that support HIPAA, SOC 2 and PCI DSS requirements under the AWS shared responsibility model.

Resilience is designed around how long each system can be down.

• Multi-AZ design: databases and application tiers run across separate Availability Zones within a Region.
• Multi-Region recovery: critical systems are copied to a second AWS Region away from the Gulf Coast.
• Backups: AWS Backup policies with retention rules, cross-account copies and routine restore tests.
• RTO and RPO: recovery targets are set per application and drive the cost of the design.
• Hurricane-season planning: Gulf Coast teams review failover runbooks and remote access before the Atlantic hurricane season begins in June.

AWS cost optimization is the ongoing practice of matching what you pay for with what your workloads actually use.

• Right-sizing: instance sizes follow measured CPU and memory use.
• Savings Plans and Reserved Instances: commitments cover steady workloads once usage is clear.
• Storage tiering: lifecycle rules move cold data to lower-cost Amazon S3 storage classes.
• Idle resource cleanup: unattached volumes, old snapshots and forgotten test environments are removed.
• Tagging and budgets: resources are tagged by owner, and AWS Budgets alerts flag overspending early.

• Scope: an assessment, a migration, a build or a managed service.
• Number of workloads: each application and database adds planning and testing.
• Data volume: large datasets need more replication and validation.
• Compliance needs: regulated data adds design and documentation work.
• Managed support level: monitoring hours, response expectations and reporting.

• Energy and oil and gas: Energy Corridor operators generate large volumes of field and production data. AWS storage and analytics handle that volume without disrupting operations.
• Healthcare: Organizations around the Texas Medical Center handle protected health information. Workloads use HIPAA-eligible services, encryption and audit logging.
• Financial services: Firms need audit trails and access control. CloudTrail logging and segregated accounts support those reviews.
• Retail: Elastic capacity absorbs seasonal sales peaks without year-round hardware.
• Logistics: Companies tied to the Port of Houston track shipments and partners closely. Resilient AWS integrations keep that data flowing.
• SaaS and technology: Software companies rely on containers and CI/CD for frequent releases.