When engineers are asked to own cloud costs, they often run into these common roadblocks:






1. Autonomous Recommendations & Cost Savings
2. AI-driven Cloud Forecasting
3. Resource Lifecycle Policies & Power Schedules
4. Tag Governance & Cost Allocation
5. Enterprise Integrations
6. Smart Budgeting & Reporting Dashboards
✅Do's | ❌Don’ts |
Tag resources appropriately → Always tag by project, team, or environment | Don’t leave resources untagged or mislabeled → It may cause your team to lose money long term. |
Set budgets & alerts → Set cost alerting before you deploy | Don’t ignore alerts or overspend thresholds → Small overruns compound quickly into waste |
Employ auto-scaling → Scale out and back horizontally rather than over-provision. | Don’t over-provision static resources → Unused capacity burns money silently |
Power down casual work → Power down dev/test environments after hours. | Don’t let idle resources run overnight → Continuous low-use instances inflate your bill |
Track usage dashboards → Scan periodically for anomalous spikes. | Don’t make long-term commitments without data → Reserve capacity only after analyzing trends |
❌ The Old Way (Manual & Reactive) | ✅ The Costimizer Way (Automated & Proactive) |
Engineers overloaded manual cost analysis, ticket requests, and reporting | Automation eliminates repetitive work and provides engineers with self-service cost visibility. |
Delivery cycles lengthened because cost checks occur too late. | Real-time insights mean engineers can make cost-aware decisions during development |
No idea of how changes affect budgets, even after they've been deployed. | Live attribution shows the budget impact per feature, service, or release before shipping. |
Responsibility is ambiguous, and costs are spread throughout services without clear ownership. | Every dollar is mapped to the exact team, product or application for full accountability. |
Cost forecasting for new features is guesswork, risking overspend | AI-powered modelling predicts future costs, enabling teams to confidently plan features. |
We are fast, secure, and non-disruptive in our process, and you can be up and running in minutes.
That's it, no agents, no code, no modifications to your architecture. In minutes, Costimizer starts to optimize your cloud with highest efficiency.
Yes. You can use our 30-day completely free trial, which will give you complete access to optimization features with no long-term obligations.
When you use Costimizer, you don't get a high bill, but rather you receive a proactive Slack alert about your savings. It automates the monotonous task of locating idle resources and right-sizing instances, leaving you with time to work on engineering issues.
Absolutely not. Our suggestions are performance-conscious. The AI examines past usage trends to determine the unique requirements of your workload, ensuring that recommendations are carefully tailored. It is not only running cheaply, but running efficiently.
The AI agent works under guardrails and policies that are defined by you. It is defaulted to suggest mode, in which all suggested changes must be approved by you. You can control its permissions in a granular way and can only give it the authority to perform automated actions when you are sure it is accurate.
Yes. Our CI/CD integration provides you with a preview of the effect of a code change on the monthly bill in the workflow of your GitHub or GitLab. This will ensure that cost becomes an active component of your code review process, and you can identify costly changes before they ever get to production.
You're here because your cloud bill is probably higher than you want it to be. Good. That's the problem we're here to solve. We're not just another dashboard; we're an expert team with an AI platform built to actually fix the waste, not just report on it.