AWS Well-Architected Review
Free assessment for qualifying AWS workloads. We evaluate your environment against all 6 pillars of the AWS Well-Architected Framework — identifying risks, eliminating waste, and delivering a prioritized remediation roadmap in 2 weeks.
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An AWS Well-Architected Review is a structured assessment of a cloud environment against the AWS Well-Architected Framework — six pillars covering Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. The review identifies high-risk findings, scores each pillar, and produces a prioritized remediation roadmap. AWS Partners deliver the review using AWS’s own Well-Architected Tool, with funding credits available for qualifying remediations.
Cloud environments evolve organically. Teams add resources, deploy new services, and make incremental changes over months and years. Without periodic review, this organic growth leads to architectural drift — security gaps widen, costs creep upward, and reliability risks accumulate silently until they surface as outages or audit failures.
An architecture review provides a structured, objective assessment of your entire AWS environment. It answers the question every CTO and VP of Engineering needs answered: Is our cloud architecture supporting our business, or is it holding us back?
At FactualMinds, we conduct architecture reviews using the AWS Well-Architected Framework — a proven methodology that evaluates your environment across six critical dimensions. As an AWS Select Tier Services Partner, our reviews qualify for AWS credits to fund remediation of identified issues.
| Dimension | AWS Well-Architected Review (Partner-led) | Generic third-party audit | DIY internal review |
|---|---|---|---|
| Cost to customer | Free — funded by AWS Partner program | $15K–$60K | Engineering time only |
| Methodology | AWS Well-Architected Framework (6 pillars) | Varies by vendor | Often ad hoc |
| Tooling | AWS Well-Architected Tool (official) | Varies | Spreadsheets / docs |
| Funded remediation credits | Up to $5K per qualifying workload | None | None |
| Findings vs. AWS roadmap | Mapped to current AWS services | Often vendor-agnostic, generic | Depends on team currency |
| Scope | Single workload per review (deep) | Often broader, shallower | Whatever team has time for |
| Auditor independence | External AWS-certified architects | External | Internal — bias risk |
| Best for | Production workloads on AWS | Multi-cloud or pre-cloud orgs | Early-stage / sandbox |
How well are you running and monitoring your systems?
Common findings: Manual deployments without rollback capability, missing runbooks for critical systems, CloudWatch alarms that alert but trigger no automated response.
Is your cloud environment protected against threats and compliant with your regulatory requirements?
Common findings: Overprivileged IAM roles with AdministratorAccess, unencrypted S3 buckets and EBS volumes, Security Groups allowing 0.0.0.0/0 access to non-public ports, GuardDuty findings going unreviewed.
For organizations needing a deeper security focus, see our AWS Security Consulting services. For compliance-specific requirements (HIPAA, SOC 2, PCI DSS), see our Cloud Compliance Services.
Will your systems continue to operate correctly when things go wrong?
Common findings: Single-AZ deployments for production databases, no backup restoration testing, autoscaling policies that scale up but never scale down, undefined RPO/RTO targets.
Are you using the right resources for the right workloads?
Common findings: Oversized instances running at 10-15% CPU utilization, no caching layer in front of read-heavy databases, missing VPC endpoints for S3 and DynamoDB causing unnecessary NAT Gateway charges.
Are you getting the most value from every dollar spent on AWS?
Common findings: 30-50% of non-production instances running 24/7 when they are only needed during business hours, no RI/SP coverage for steady-state workloads, S3 data accumulating in Standard tier with no lifecycle policies.
For in-depth cost optimization, see our AWS Cloud Cost Optimization Services.
Is your architecture environmentally efficient?
Day 1-2: Access and scoping
Day 3-5: Automated assessment
Day 6-8: Manual deep dive
Day 9-10: Report and presentation
A 2-page overview for leadership with:
A comprehensive technical document with:
A prioritized action plan organized into:
Official report generated through the AWS Well-Architected Tool that:
An AWS Well-Architected Review is a low-risk, high-impact engagement. In 2 weeks, you receive a clear picture of your cloud health with a prioritized plan for improvement — plus potential AWS credits to fund the work.
Pair the Well-Architected Review with our FinOps Consulting for ongoing cost governance, our AWS Security Consulting for deep security remediation, or our AWS Managed Services for continuous operational oversight after the review.
Structured assessment against all 6 pillars — operational excellence, security, reliability, performance, cost optimization, and sustainability — plus the new Responsible AI Lens (Nov 2025), the updated Machine Learning Lens (now six pillars including Sustainability), and the updated Generative AI Lens (eight architecture scenarios including agentic AI). The right lens for your workload, not a generic checklist.
IAM analysis, encryption review, network assessment, and compliance mapping to SOC 2, HIPAA, PCI DSS, and ISO 27001.
Right-sizing recommendations, RI/SP strategy, storage optimization, and data transfer cost reduction.
Multi-AZ architecture validation, disaster recovery evaluation, backup testing, and failover planning.
Compute, database, and networking performance analysis with optimization recommendations.
Prioritized action plan with estimated effort, impact, and timeline for each recommendation.
Official AWS partnership with validated expertise and access to MAP credits for remediation.
Every finding includes specific remediation steps, not generic best practices. We fix what we find.
Comprehensive assessment delivered in 2 weeks with prioritized findings and quick wins.
Our team covers security, networking, databases, containers, serverless, and cost optimization — one team, complete coverage.
Verticalized engagements aligned to industry threat models, compliance, and reference architectures.
Implementation guides for this service from our team of AWS experts.
Q2 2026 ranked: AgentCore Harness GA (Jun 17), FinOps Agent preview (Jun 9), Graviton5 GA (Jun 10), OpenAI on Bedrock (Apr 28). Adoption matrix + verified TCO signals for CTOs.
CAF 3.0 organizes six perspectives and 47 capabilities—up from 31 in CAF 2.0—plus four phases (Envision, Align, Launch, Scale). Here is how to connect those workshops to Control Tower, MAP, and Well-Architected without treating the framework as a slide deck.
A CCoE that only publishes standards decks fails within two quarters. This 2026 operating model ties platform RFCs, delegated-admin guardrails, Well-Architected reviews, and FinOps chargeback—benchmarked on a 14-account estate that cut deploy exceptions from 23/month to 6 in 90 days.
A single AWS account is fine for week one. By month six, audit teams, security reviewers, and your CFO will all want their own boundary. How to structure AWS Organizations with Control Tower and a landing zone that doesn't have to be re-architected at scale.
Global Accelerator charges about $0.025 per provisioned accelerator per hour—even while disabled—and adds Data Transfer-Premium on top of normal data transfer. Two static Anycast IPv4 addresses (or four addresses in dual-stack: two IPv4 and two IPv6) front ALBs, NLBs, EC2, or EIPs across Regions; that pricing model changes whether you beat CloudFront or Route 53 latency records alone.
Your landing zone set up the org, OUs, and baseline SCPs — then most teams stall, duplicating resources per account and wiring brittle cross-account role chains. Since re:Invent 2024 the toolkit changed: RCPs bound what can be done TO a resource (even by external principals), declarative policies enforce EC2/VPC/EBS config state that survives new APIs, and one Route 53 Profile can push DNS to up to 5,000 VPCs. Here is the mechanism-by-job decision matrix and a rollout order that avoids lockouts.
AWS Prescriptive Guidance says Argo CD and Flux both handle most GitOps scenarios capably — so picking one is a fit decision, not a winner. The decisions that actually cause incidents are the ones underneath: plaintext secrets in the GitOps repo, CI running kubectl apply and reintroducing drift, no App-of-Apps so onboarding is click-ops, and repo topology you can't change later. Here is the Argo CD vs Flux matrix, an App-of-Apps example, and the five traps independent of tool.
The reflex to bolt Amazon Managed Prometheus + Grafana onto every workload is how observability bills quietly double. CloudWatch Application Signals now gives you an auto-discovered service map, SLOs, and traces with near-zero setup; AMP only earns its keep when you are PromQL-native or drowning in high-cardinality metrics — where ingestion (not retention) is the cost driver. Here is the decision matrix, an ADOT dual-export config, and the three levers that actually cut the AMP bill.
Running one AWS FIS experiment in a demo account is not chaos engineering — it is a screenshot. A program ties experiments to SLOs, scopes blast radius with tags, halts on CloudWatch alarm stop conditions, schedules via EventBridge, and closes the loop by re-testing the fix. FIS now ships AZ Power Interruption and cross-Region connectivity scenarios in its Scenario Library. Here is the L0→L3 maturity matrix, a GameDay runbook, and a stop-condition-wired experiment skeleton.
A curated, production-tested guide to microservices patterns on AWS — what to use, what to skip, and what changed in 2026 (App Mesh EOL, VPC Lattice, Powertools idempotency, Step Functions sagas).
SQS, MSK Kafka, and Redis queues are not interchangeable. Each has different cost models, ordering guarantees, and failure modes. This guide covers when to use each, how to autoscale workers on queue depth, and how to build idempotent consumers.
On a composite mid-market OTT platform (~180k concurrent live peak, ~12 TB/month VOD catalog), routing Saturday-night live through MediaConvert batch queues added ~$4,200/mo in idle transcode capacity before switching live to IVS and keeping MediaConvert for catalog only. CloudFront egress still dominates steady-state — model it before you buy encoders.
A composite fintech API (~8ms p99 to metro users) spent ~$14k/mo on an Outposts rack before moving read-heavy paths to a Chicago Local Zone and keeping Outposts only for card-PIN HSM proximity — p99 held at 9ms, hybrid infra dropped ~38%. This is placement and connectivity, not EC2-vs-Lambda unit economics.
On a composite ingest workload (~8k ordered TPS, 1 KB payloads), staying on SQS FIFO without high-throughput mode capped effective throughput near 300 TPS/API and modeled queue backlog cost near $95/mo before ops time — enabling high-throughput FIFO or switching to Kinesis on-demand changed the ceiling, not the consumer code.
On a composite B2B order API (~2.4k RPS peak, 24 ECS tasks on Aurora), running the scaling ladder in order — RDS Proxy, read-replica routing, ElastiCache, then SQS offload — moved modeled p99 from 1,840 ms to 72 ms before any microservice split.
For a mid-market 3PL (~2.1M shipments/yr, OTIF 82%), layering AWS Supply Chain on ERP ingest plus Location Services fleet tracking moved ETA accuracy from 71% to 87% in 90 days — without replacing Manhattan WMS.
Before a partner-led WA Review, a fintech workload with 23 open HRIs spent 6 weeks on unfocused fixes; after the readiness checklist and HRI cap of 5 for 90 days, the next milestone dropped High Risk items from 23 to 7 in one review cycle.
After Mar–May 2026 LMI updates (32 GB / 16 vCPU, 4,096 FDs, EventBridge scheduled scaling), a B2B analytics API (~40k peak RPM, 9–6 UTC) cut idle capacity cost ~62% by scheduling MinExecutionEnvironments 20→3 off-peak.
For a mid-market retailer (~2.4M SKUs, checkout p95 1.9s → 420ms), DynamoDB cart + Step Functions checkout + conditional inventory cuts held 2.1k checkout RPS — after a cache-as-inventory mistake oversold 380 units in 12 minutes.
A 280-user SaaS ops team cut Client VPN connection-hours ~62% after moving 34 HTTPS apps to Verified Access — Site-to-Site on TGW stayed for the colo; full-tunnel Client VPN had been burning ~$1.1k/mo in idle connection fees.
Systems fundamentals connected to AWS architecture decisions — from our learning paths library.
CAP is not a trivia question—it is the reason your global DynamoDB table shows stale inventory or why Aurora Global reads lag 80 ms behind the writer. This guide maps partition tolerance, consistency, and availability trade-offs to concrete AWS controls.
Packet loss on mobile networks still punishes HTTP/1.1 head-of-line blocking—but HTTP/3 only helps if CloudFront terminates QUIC and your origin connection pools are sized for multiplexed streams. This guide connects Reno, Cubic, BBR, HPACK, and QUIC to ALB and CloudFront decisions.
Cache-aside without an invalidation story ships stale pricing to 2% of users—the hardest 2% to debug. This guide layers CloudFront, ElastiCache, and DAX with TTL, event-driven purge, and when write-through beats cache-aside.
Exactly-once is a myth end-to-end—but idempotent consumers plus event stores get you close. CQRS read models on DynamoDB streams, Kinesis, and EventBridge replay semantics.
Token buckets allow bursts; leaky buckets smooth traffic—WAF rate rules and API Gateway usage plans implement neither perfectly but both matter for layered defense.
You rarely implement Raft on EC2—you buy it in Aurora, DynamoDB, and EKS etcd. This guide explains quorum math so you trust managed services and avoid rolling your own coordinator.
Third-party tools we frequently wire into AWS as part of this engagement — production-tested integration guides for each.
Terraform + AWS in 2026: Stacks GA, ephemeral values, provider-defined functions, Test Framework, OpenTofu 1.8 encryption — vs CDK and CloudFormation.
Amazon EKS in 2026: Auto Mode GA, Hybrid Nodes, Karpenter 1.0, Pod Identity, Graviton-first node pools, and ECR enhanced scanning — cheaper, safer K8s.
Architecture patterns, decision trees, and glossary terms that map to this engagement.
AWS architectural best practices framework covering six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.
Framework defining what security and compliance tasks AWS manages versus what customers must manage.
In-depth guides and best practices from our certified AWS architects.
Assume 8 state transitions and 200 approved signups in a month: 1,600 transitions. Step Functions Standard includes 4,000 free transitions a month in US East (N. Virginia) at $0.000025 after that. The workflow marks READY only after the health check.
Read articlePutRestoreValidationResult accepts FAILED, SUCCESSFUL, TIMED_OUT, or VALIDATING. Once the status is set, AWS says it cannot be changed. A completed restore job is not an application check until you run one.
Read articleDelete is a late state. A legal hold stops the machine in HELD. One Scheduler invocation on the retention date sits inside the 14 million free EventBridge Scheduler invocations a month. The first write revokes access. It does not delete objects.
Read articleIn-depth comparisons to help you choose the right approach before engaging.
Objective comparison of AWS vs Microsoft Azure for enterprise workloads. Features, pricing, compliance, and strategic fit.
Compare AWS consulting services, costs, speed, and specialization between FactualMinds and Big 4 consulting firms.
Talk to our AWS experts about how we can help transform your business.
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