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AWS for growing product teams: a practical checklist

Amazon Web Services can be a product accelerator or an unreadable bill with a production box nobody dare reboot. The difference is rarely “we needed Kubernetes.” It is whether accounts, identity, environments, and delivery were designed on purpose.

Accounts and identity first

One root account with shared passwords is not a landing zone. Separate production from everything else, turn on MFA, and stop using long-lived keys in application servers. IAM roles for compute, least privilege for humans, and a written path to revoke access when someone leaves. This is unglamorous and it prevents the worst Friday nights.

Match architecture to the team you have

A five-person product team should not operate a full service mesh because a conference talk said so. Managed databases, boring compute (ECS, Elastic Beanstalk, or even well-run EC2), and a CDN in front of static assets will outlive a clever diagram. Introduce more moving parts when a real constraint appears: deploy frequency, blast radius, or a compliance questionnaire you cannot answer.

Pipelines and production truth

If shipping means SSH and hope, you do not have a platform. CI/CD, infrastructure as code, logs you can search, and metrics that page a human are the minimum. Cost tags and budgets catch the experiment that got left on. WisdomSol’s AWS engineering is aimed at this layer — not at selling you a migration for its own sake.

Security tooling (GuardDuty, Config, patching) should be on, but an MSSP slide deck is not a substitute for engineers who understand your app. If you need a partner who will sit in the architecture review and the standup, that is the engagement to buy.

  1. AI on AWS: A Practical Checklist | WisdomSol
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