Published
Friday, November 15, 2024

Stop Wasting Time on Broken Tags — Fix Your Cloud Visibility in Minutes with PrimeOrbit’s AI-Powered Solution.

The Struggle for Cloud Visibility and Tagging: Why You’re Losing Time and Money

Here’s an Example of What’s Going Wrong

Take a look at the image above. It shows a common issue in cloud environments: inconsistent tagging. Notice the mix of "env," "prod," "dev," and "staging" tags that represent the same thing across different resources. You’ve got “prod,” “production,” “prod-d,” and “prod” all used interchangeably—this is exactly the kind of chaos that keeps you from gaining true visibility.

The problem with this isn’t just inconsistency—it’s inefficiency. Tagging becomes an error-prone process, leaving your teams scrambling to get everything into a manageable state. What if there was a way to immediately fix this chaos, without waiting for manual intervention or native tool fixes?

What If These Challenges Just Disappeared?

What if you didn’t have to waste hours chasing down missing tags and fixing errors? What if everything was fixed in minutes, not days?

This isn’t wishful thinking. This is PrimeOrbit’s Virtual Tags.

PrimeOrbit’s Virtual Tags: Solving the Visibility Problem

PrimeOrbit’s Virtual Tags do exactly that. They automatically provide the visibility you need and the context to understand the true value of your cloud resources, without touching your native tags. The solution automatically identifies missing, incomplete, or inconsistent tags and fixes them in real-time—no more wasted time manually fixing tags or waiting for coordination between FinOps and CloudOps.

Here’s what PrimeOrbit’s Virtual Tags solve:

  1. Complete Visibility:
    • Instantly see what’s wrong. The platform automatically generates visibility into your cloud environment and identifies missing or inconsistent tags. The image above is a perfect example of how this can be streamlined—PrimeOrbit automatically fixes this issue by applying consistent, business-relevant tags across resources.
  2. No More Manual Fixes:
    • Virtual Tags automatically apply missing tags, such as cost center, owner, or environment. No need to manually search for resources or refactor scripts. Everything is updated automatically.
  3. Automatic Context Generation:
    • PrimeOrbit’s Virtual Tags not only fix inconsistencies—they generate business context such as cost centers, owners, and resource usage. This creates a comprehensive view of your cloud environment that is instantly accessible to all stakeholders—without the need for manual work.
  4. Efficient Cost Allocation:
    • The platform automatically drives cost allocation across teams, business units, and departments. Tagging becomes an effortless, streamlined process where cost allocation is done in near-real time, without waiting for resources to be manually tagged.
  5. A Complete View in Minutes, Not Days:
    • No more waiting for native tools to fix tags. Everything is updated instantly through PrimeOrbit’s AI-powered Virtual Tags.

Let’s Get Real: It’s Time to End the Tagging Headache

You know the struggle. Broken tags. Inconsistent labeling. Missing context. It's frustrating. And it's holding your team back from optimizing your cloud infrastructure efficiently.

With PrimeOrbit’s Virtual Tags, you no longer need to worry about these problems. We eliminate the need for manual tagging and refactoring, offering you a clear, actionable view of your cloud environment in real-time.

Let’s show you how. Give us access to one account, one workload, or one subscription - and with a very quick turnaround we’ll show you how Virtual Tags work in your cloud, fixing your tagging issues live, right in front of you.

Book your demo now and say goodbye to cloud tagging chaos.

Pranjal Bakshi

November 15, 2024

Let's Connect

Not ready for a demo? No worries. Just drop your email, and our team will reach out to you personally to discuss how PrimeOrbit can help you.

Thank you!

Your submission has been received!
Oops! Something went wrong while submitting the form.

Please try again or connect with us directly on LinkedIn.