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Costimizer – The Engineers’ Choice for Cloud Cost EfficiencyManaging cloud costs doesn’t have to be complicated. Costimizer provides engineering teams with a clear picture of how they are using the cloud, where they are wasting money, and offers recommendations that are smart and actionable. Simple, reliable, and fast Costimizer makes cloud cost management not agrueling task but a smooth process that works in your favor.
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The Biggest Challenges Engineers Face in Managing Cloud Spend

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

  1. Absence of Transparency in Costs: Engineers are usually unaware of who is spending how much. In the absence of distinct dashboards or tagging, it isn't easy to identify which projects, teams, or services are driving cost increases. This renders accountability nearly impossible.
  2. Trade-offs: Performance vs. Cost: An engineer wants to be on the safe side by ordering larger machines, more storage, and faster databases. Although it improves performance, it also increases the likelihood of paying for idle resources most of the time.
  3. Changes in Cloud Pricing and Services: Cloud vendors continually add and modify instance types, pricing models, and discounts. Engineers are focused on feature development and do not monitor pricing changes, so they do not see cheaper alternatives or more efficient services.
  4. No Clear Ownership or Guardrails: When all team members can spin up cloud resources, costs explode. In the absence of governance, engineers find themselves fighting fire with bills that have sprung up rather than working on products.

Why Choose Costimizer?

Cut your cost by 30%
Clear Cost Ownership
Assign 100% of your cloud expenses to the team, product, or feature that incurred it. This not only removes unallocated costs that are known as shadows but also gives you a crystal clear picture of where your budget is heading.
AI cloud forecasting icon
Get AI-Driven Cost Insights
Provide every service owner with self-service access to their real-time cost and usage data. Such freedom enables engineers to actively streamline their own code and infrastructure without having to wait for finance to provide reports.
Built for enterprise scale
Built-In Optimization Guidance
Receive machine learning-generated, prioritized right-sizing, reservation coverage, and architectural fix recommendations. These suggestions are directly integrated into the tooling that your engineers are already working with, and optimization becomes an extension of their workflow.
Real time expense tracking
Early Spike Detection
Cost spikes are important reliability indicators. Our anomaly detection will assist you in emerging latent bugs, regressions in performance, or design flaws before they get out of control, and transform a financial metric into a potent service quality improvement tool.
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Data-Backed Efficiency Planning
Continuously use a model to continuously optimize the financial effects of commitment-based discounts, work placement options, and design trade-offs. This will enable you to discover seven-figure reduction opportunities and create a strategic savings plan that will not affect engineering velocity.
Dedicated team icon
Shared View Across Teams
Expose the same trusted cost and value measures on Finance, Engineering, and FinOps dashboards. This will provide a common financial language that will expedite the approval process and synchronize quarterly budgets with technical roadmaps.

What Makes Costimizer the Leading Choice for Engineers?

1. Autonomous Recommendations & Cost Savings

  • Receive specific, AI-driven advice for rightsizing underutilized VMs and databases.
  • Automatically identify zombie instances, unattached volumes, and forgotten snapshots that are safe to delete.
  • Get clear recommendations on when and what to commit to for Reserved Instances or Savings Plans based on actual usage.

2. AI-driven Cloud Forecasting

  • Predict your end-of-month bill with high accuracy based on your historical usage patterns and seasonality.
  • Model the cost of new projects or infrastructure changes to make data-driven decisions before you build.
  • Receive early warnings when your spending trajectory is on track to exceed your budget.

3. Resource Lifecycle Policies & Power Schedules

  • Automatically decommission QA and staging environments after a release cycle is complete to prevent residual costs.
  • Schedule non-production workloads to automatically shut down during evenings and weekends, reducing costs by up to 70%.

4. Tag Governance & Cost Allocation

  • Let our AI agent find and automatically apply correct tags to untagged resources based on predictive patterns.
  • Enforce tagging policies to ensure 100% of your cloud spend is attributed to the correct team, project, or feature.
  • End the blame game with clear showback and chargeback reports that provide total financial visibility.

5. Enterprise Integrations

  • Receive cost impact analysis on pull requests directly in GitHub or GitLab to see how changes will affect the monthly bill.
  • Get real-time cost anomaly alerts in Slack that can automatically create a Jira ticket to downsize a resource.
  • Pull all cost and usage data into BI tools like Tableau or Power BI for deeper, custom analysis.

6. Smart Budgeting & Reporting Dashboards

  • View technical dashboards designed for engineers to optimize resources, showing idle instances and storage optimization opportunities.
  • Track your real-time spending against budgets for any team, project, or business unit from a single, unified view.
  • Customize and automate reporting, scheduling dashboards to be sent to stakeholders via email or Slack.

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.

How do you integrate your cloud accounts with Costimizer?

We are fast, secure, and non-disruptive in our process, and you can be up and running in minutes.

  1. Create an account and integrate your cloud accounts (AWS, Azure, GCP, etc.) with your existing Microsoft, Google, or GitHub account.
  2. The connection is based on a secure least-privilege, read-only role. We do not keep your root credentials and all information is encrypted during transit (TLS 1.2/1.3) and storage (AES-256).
  3. When you are connected, Costimizer maps your entire cloud footprint and find savings opportunities.

That's it, no agents, no code, no modifications to your architecture. In minutes, Costimizer starts to optimize your cloud with highest efficiency.

Frequently Asked Questions (FAQs)

Can I try Costimizer for free?

Yes. You can use our 30-day completely free trial, which will give you complete access to optimization features with no long-term obligations.

How does Costimizer help engineers?

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.

Will this effect my cloud performance?

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.

How does the AI agent optimize cloud cost?

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.

Can we estimate the cloud cost impact?

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.

CONTACT US

Let's Talk

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.


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