AWS, Azure & GCP · Cloud across providers

What are common cloud mistakes?

EasymistakesmisconfigurationoperationsUpdated Oct 2026
Quiz this track

Short answer

Common mistakes include open storage buckets, long-lived access keys, single-AZ deployments, no cost visibility and treating the cloud like a data centre. Most are configuration and ownership problems.

Most cloud incidents come from how the platform is used, not from the provider failing. The same few mistakes appear across teams: permissive identity, exposed storage, missing redundancy and no feedback loop on cost or reliability.

Recurring mistakes

  • Public storage buckets or databases reachable from the internet
  • Long-lived access keys checked into code or shared across services
  • Single-AZ deployments with no failover for critical workloads
  • No tagging, budgets or ownership for cloud spend
  • Lifting and shifting every workload without replatforming
  • Manual console changes that drift from infrastructure as code
  • No backup restore tests and no incident runbooks

How to prevent them

  • Organisation guardrails that block public storage and weak identity by default
  • Infrastructure as code with policy checks in the pipeline
  • Account and network baselines with logging enabled from day one
  • Regular cost and reliability reviews with named owners
  • Game days and restore drills that exercise failure paths
A mistake repeated across many accounts is a process problem. Fix it with a guardrail or a paved-road template, not with another reminder to be careful.

Follow-ups you should expect

Interviewers use these to check whether the first answer was understanding or memorisation.

  1. 1Which mistake would you fix first in a new account?
  2. 2How do guardrails prevent configuration mistakes?
  3. 3Why is lift-and-shift risky if left unmanaged?
  4. 4How do you make cost ownership stick?

Say it in the interview

The recurring mistakes are exposed storage, long-lived keys, single-AZ critical workloads and no cost visibility. They are usually process problems, not provider limitations. I would fix them with guardrails, infrastructure as code and paved-road templates, then review cost and reliability with named owners, because reminding people to be careful does not scale.

Use this as a model, not a script. Saying it in your own words is what makes it survive follow-up pressure.

Related questions

Reading is step one

Now say it out loud.

Understanding an answer and delivering it under pressure are different skills. Rehearse this topic in a live AWS, Azure & GCP mock interview and get scored feedback on depth, clarity and confidence.