Cloud assessment and roadmap
Turn business priorities into a sequenced roadmap with decision ownership, milestones, risks, dependencies, and measurable success criteria.
AWS consulting services assess and design application infrastructure on Amazon Web Services for a defined operating requirement.
Evaluate identity, network boundaries, workload placement, observability, cost controls, and recovery.
Architecture decisions should state the operational tradeoff, not just the service name.
Etelligens combines the specialists required for amazon web services so discovery, architecture, implementation, integration, quality, and release decisions stay connected.
Turn business priorities into a sequenced roadmap with decision ownership, milestones, risks, dependencies, and measurable success criteria.
Design secure accounts, networks, identity, policy, observability, resilience, and shared services as a governed foundation for cloud workloads.
Plan and execute phased modernization with dependency mapping, data and integration controls, cutover planning, rollback options, and continuity for existing users.
Automate infrastructure, environments, testing, policy checks, deployments, rollback, and developer workflows so releases are faster and more repeatable.
Measure and improve latency, throughput, availability, failure recovery, resource use, and operational visibility under realistic conditions.
Combine cost allocation, usage visibility, rightsizing, capacity practices, service ownership, and operational support to improve cloud economics without weakening reliability.
Each stage is scaled to the initiative, with explicit decisions, evidence, risks, ownership, and feedback so delivery can move quickly without hiding complexity.
Inventory applications, infrastructure, dependencies, data, security, reliability, cost, and operational pain points before setting migration priorities.
Define landing zones, identity, networking, environments, data services, resilience, observability, policy, and platform standards.
Move or modernize workloads using dependency-aware waves, automated testing, data controls, cutover plans, and rollback options.
Implement infrastructure as code, CI/CD, environment controls, security checks, monitoring, and repeatable platform services.
Improve reliability, performance, cost, incident response, capacity, security posture, and developer experience using operational telemetry.
We account for legacy platforms, data constraints, integrations, security, compliance, distributed teams, and the operating model required after launch.
Infrastructure, environments, delivery, policy, and testing are automated to reduce manual variance.
Logs, metrics, traces, service ownership, and incident signals make production behavior visible.
Capacity, architecture, managed services, and FinOps practices balance performance, resilience, and cloud cost.
Practical answers on scope, delivery choices, and acceptance.
AWS consulting services assess and design application infrastructure on Amazon Web Services for a defined operating requirement. The agreed scope can include architecture, infrastructure automation, observability, and recovery.
Evaluate identity, network boundaries, workload placement, observability, cost controls, and recovery. Bring the current workflow, important constraints, and the decision or user outcome you need to improve.
Architecture decisions should state the operational tradeoff, not just the service name. Ask the delivery team to explain the alternatives, exclusions, and evidence that would change its recommendation.
Scope, integration dependencies, data readiness, access approvals, and acceptance requirements determine the estimate. For this work, plan explicitly for architecture, infrastructure automation, observability, and recovery. Request milestones and assumptions rather than an unsupported fixed-price promise.
Agree acceptance evidence before implementation. Evaluate identity, network boundaries, workload placement, observability, cost controls, and recovery. Record known limitations, unresolved risks, ownership after handoff, and the next review point.
Architecture decisions should state the operational tradeoff, not just the service name. Related capabilities include DevOps Services.
Feedback from clients who have worked with Etelligens across application development, web platforms, branding, and complex software delivery.