AWS Consulting

AWS is a public cloud platform used to provision on-demand infrastructure and managed services for building, running, and scaling applications without maintaining physical data centers. It is commonly used by engineering, IT, and data teams to host web applications, modernize legacy systems, and support analytics and machine learning workloads with global availability options.

AWS environments are often organized across multiple accounts and isolated networks, with infrastructure defined through automation to improve consistency and governance. It is frequently integrated into CI/CD workflows so teams can deploy changes across development, staging, and production with repeatable controls. For related cloud governance and delivery practices, see Platform Engineering.

• Compute, containers, and serverless for services and batch processing
• Object, block, and file storage for application data and backups
• Managed databases, caching, and messaging for core systems
• Identity and access management with policy-based permissions
• Monitoring, logging, and alerting for operational visibility

Running and maintaining a physical data center requires significant time and effort, with limited resources compared to the extensive options offered by various Cloud providers. In certain situations, managing physical infrastructure cannot be avoided due to security or budget constraints. Nonetheless, the diverse array of top-notch services provided by cloud providers, along with their seamless integrations and user-friendly interfaces, make them an excellent option for developing software applications.

AWS is a public cloud platform used to provision on-demand infrastructure and managed services for building, running, and scaling applications. It is commonly chosen when teams need global reach, strong service depth, and flexible options for reliability, security, and cost management.

• Broad compute options enable right-sizing for diverse workloads, including VMs, containers, and serverless execution models.
• Global regions and availability zones support high availability designs, disaster recovery strategies, and low-latency deployments.
• Managed data services reduce operational overhead for relational databases, NoSQL, caching, streaming, and analytics pipelines.
• Identity and access controls with IAM and organizations help enforce least privilege, account separation, and centralized governance.
• Network and edge services support segmented architectures, private connectivity, and content delivery for internet-facing systems.
• Infrastructure as code support through CloudFormation and common tooling enables repeatable environments and safer change management.
• Observability primitives for metrics, logs, and traces support incident response workflows and reliability engineering practices.
• Security services for threat detection, encryption, and posture management help meet compliance and reduce attack surface.
• Cost controls such as tagging, budgets, savings plans, and autoscaling help manage spend as usage grows.
• Service integrations and a large ecosystem accelerate delivery for common patterns like event-driven systems and microservices.

AWS fits well for organizations that need a wide selection of managed services and fine-grained control over architecture, but it can introduce complexity in account structure, IAM policy design, and cost governance. Vendor-specific services can also increase switching costs, so portability requirements should be evaluated early.

Common alternatives include Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI).

Our experience with AWS helped us build repeatable delivery patterns, Terraform modules, and operational runbooks that we use to improve reliability, security, and cost control across client cloud platforms. Across greenfield builds and complex migrations, we applied practical AWS best practices so production operations stayed predictable and easy to support.

Some of the things we did include:

• Designed multi-account landing zones with AWS Organizations, IAM Identity Center, SCPs, and audited access patterns for production-grade governance.
• Implemented Infrastructure as Code for VPCs, subnets, routing, security groups, and foundational services using Terraform with Git-based CI/CD workflows.
• Built and operated container platforms on EKS, integrating Kubernetes deployment workflows, autoscaling, node lifecycle management, and cluster upgrades.
• Modernized application delivery with automated pipelines, including artifact promotion, environment parity, and rollback-friendly release patterns.
• Standardized observability with CloudWatch metrics/logs, tracing, alerting, and SLO-style dashboards, integrating Prometheus where it fit the operating model.
• Hardened security with least-privilege IAM, KMS encryption, Secrets Manager, WAF protections, and continuous checks against baseline controls aligned to the AWS Well-Architected Framework.
• Delivered HA/DR patterns using multi-AZ architectures, backup automation, tested restore procedures, and cross-region replication when RTO/RPO requirements demanded it.
• Improved cost and performance through right-sizing, Savings Plans/Reserved Instances, storage tiering, and clear cost attribution by environment and workload.
• Supported migrations from legacy environments to AWS, including network cutovers, data transfer planning, and staged rollout plans to reduce downtime risk.
• Enabled teams with on-call runbooks, incident response drills, and structured knowledge transfer so ownership could move in-house without operational gaps.

This experience helped us accumulate significant knowledge across multiple AWS use-cases—from new platform builds to incremental modernization—and enables us to deliver high-quality AWS setups that are secure, observable, and maintainable in day-to-day operations.

Some of the things we can help you do with AWS include:

• Run an AWS environment assessment and deliver a prioritized findings report covering reliability, security, and cost risks.
• Create an AWS adoption roadmap and landing zone plan aligned to your org structure, workloads, and compliance needs.
• Implement infrastructure as code (IaC) with Terraform to standardize provisioning, reduce drift, and speed up delivery.
• Design and deploy secure network and identity foundations (VPC, IAM, KMS) with guardrails and least-privilege access.
• Modernize deployment workflows with CI/CD automation and repeatable release patterns for safer, faster changes.
• Establish observability (metrics, logs, traces) and incident-ready runbooks to improve detection and recovery times.
• Optimize performance and cost using right-sizing, autoscaling, and FinOps practices to control spend without sacrificing reliability.
• Harden security posture with logging, monitoring, and policy enforcement aligned to AWS best practices and audit expectations.
• Support migrations and workload refactors to AWS managed services to improve scalability and reduce operational overhead.
• Enable your team with hands-on training, documentation, and operational checklists to sustain improvements long term.