Startups move fast, and cloud platforms make it easy to move fast: a server, a database and a storage bucket are a few clicks away. The trouble is that those first few clicks often become the permanent foundation. Months later, the product has paying users, the team has grown, and the infrastructure is a fragile mix of manual settings that only one person understands.
None of the mistakes below are unusual, and most are easy to fix early. Left alone, they tend to surface at the worst moment - a launch, an investor demo, a security incident. Here are the ones we see most often, with practical fixes.
1. Using the root account for everything
The problem: the founders sign up for AWS, Azure or Google Cloud and use the main account login for daily work, sometimes shared between several people.
The fix: lock away the root or owner account with a strong password and multi-factor authentication, and use it only for rare account-level tasks. Give every person their own identity with only the permissions they need. Remove access the same day someone leaves.
2. Secrets in code and chat
The problem: database passwords, API keys and payment gateway secrets are written in code, committed to Git or shared on WhatsApp.
The fix: store secrets in a secrets manager or the platform's environment configuration. Scan repositories for leaked keys, and rotate any secret that has ever been exposed. Treat a leaked key as compromised, even if the repository is private.
3. No separate staging environment
The problem: changes are tested directly on production - "just a small fix" - and customers find the bugs.
The fix: create at least one staging environment that mirrors production closely. Use it for testing releases, data migrations and configuration changes before they reach production.
4. Manual, undocumented deployments
The problem: releases involve someone logging into a server and running commands from memory.
The fix: automate deployments with a CI/CD pipeline - build, test, deploy to staging, approve, deploy to production. Even a basic pipeline removes a whole category of human error and makes rollback straightforward.
5. Clicking infrastructure together by hand
The problem: servers, networks, firewalls and permissions were created manually in the console. Nobody knows exactly how production is configured, and recreating it would take days.
The fix: adopt infrastructure as code with tools such as Terraform, OpenTofu, Pulumi, AWS CloudFormation or equivalent. Store it in Git and review changes like application code. Start with new resources and gradually bring existing ones under management.
6. Backups that have never been restored
The problem: automated backups are "on", but nobody has tried restoring one, and they sit in the same account as production.
The fix: define the amount of data you can afford to lose and how quickly you must recover - often called RPO and RTO. Configure backups to match, keep copies in a separate account or region, and run restore tests on a schedule.
7. No monitoring or alerting
The problem: the team learns about outages from customers or social media.
The fix: monitor uptime, error rates, response times, server resources and database health. Set alerts that reach a person who can act, and avoid so many noisy alerts that people start ignoring them. Centralise logs so problems can be investigated quickly.
8. Publicly exposed storage and databases
The problem: a storage bucket with customer documents is public, or a database accepts connections from anywhere on the internet.
The fix: keep databases on private networks and restrict storage access by default. Use the provider's security tools to flag public resources. If you hold personal data of Indian users, remember that the DPDP Act, 2023 expects reasonable security safeguards; a cyber security review is worthwhile before launch.
9. Over-engineering too early
The problem: a two-person team builds a microservices architecture on Kubernetes for an app that only a few hundred people use. Most of the engineering time goes into running the platform rather than building the product.
The fix: start with the simplest architecture that is secure and reliable - a well-structured application, a managed database and a managed or container-based hosting service. Split into services and adopt orchestration when real scaling or team needs demand it.
10. No billing alerts or ownership of spend
The problem: test servers, forgotten snapshots and oversized databases keep running, and the monthly bill becomes a surprise.
The fix: set budgets and billing alerts in the cloud console, tag every resource by project and environment, switch off non-production resources out of hours where possible, and review usage regularly. Make one person responsible for cloud spend.
11. Ignoring the region and latency
The problem: the default region chosen at sign-up is on another continent, while almost all users are in India.
The fix: host in a region close to your users - major providers operate regions in India - and use a CDN for static assets. Check any data localisation expectations for your sector.
12. Knowledge locked in one person's head
The problem: one engineer set everything up, and nobody else knows how it works.
The fix: document architecture, runbooks for common tasks and incident steps, and how to access each system. Infrastructure as code and CI/CD pipelines are themselves strong documentation. If you need extra hands, our hire developers model can add DevOps capacity without a long hiring cycle.
Summary table
| Mistake | Risk | First fix |
| --- | --- | --- |
| Root account for daily use | Total account compromise | Individual users, MFA, least privilege |
| Secrets in code | Data breach, misuse of paid services | Secrets manager, key rotation |
| No staging | Bugs reach customers | Staging that mirrors production |
| Manual deployments | Broken releases, slow rollback | CI/CD pipeline |
| Hand-built infrastructure | Slow recovery, configuration drift | Infrastructure as code |
| Untested backups | Permanent data loss | Off-account copies, restore tests |
| No monitoring | Long, unnoticed outages | Uptime, error and resource alerts |
| Public storage or databases | Data exposure | Private by default, security scans |
| Over-engineering | Slow product progress | Simplest reliable architecture |
| No billing alerts | Surprise bills | Budgets, tags, owner for spend |
| Wrong region | Slow experience for users | Region near users plus CDN |
| One-person knowledge | Business continuity risk | Documentation and shared ownership |
How to prioritise if everything looks urgent
If you recognise several of these mistakes, do not try to fix all of them in one sprint. Start with anything that could cause permanent loss - account security, leaked secrets, public data and untested backups. Next, fix what causes frequent pain, usually manual deployments and missing monitoring. Leave architecture changes such as containers or service splits until the foundations are solid.
A simple maturity path
- Foundations: individual accounts with MFA, secrets manager, backups, basic monitoring, billing alerts.
- Repeatability: staging environment, CI/CD pipeline, infrastructure as code for new resources.
- Resilience: restore tests, multi-zone database, documented incident response.
- Scale: autoscaling, performance testing, containers or orchestration where justified.
A one-hour self-check for founders
You do not need to be technical to find out where you stand. Ask your team to show you, on screen: who has access to the cloud account and whether each person uses MFA; where secrets are stored; the last successful backup and the last restore test; the monitoring dashboard and who receives alerts; the billing alerts that are configured; and how a release reaches production. If any answer is "we will check" or "only one person knows", you have found your first priority.
Key takeaways
- Secure accounts and secrets first; they protect everything else.
- Separate staging from production and automate deployments.
- Describe infrastructure as code and test your backups.
- Monitor actively, keep resources private by default and own the cloud bill.
- Keep the architecture as simple as your stage allows, and document everything.
Want a second pair of eyes on your cloud setup? Book a free consultation with our cloud and DevOps team in Jaipur. We will review your environment, prioritise the fixes and share a written plan.
