Business Contexts Overview

Allocate 100% of your AWS Cost in Real-time

Is your AWS bill a big mystery?

Well, no more! nOps helps you to allocate every dollar of your AWS bill.

nOps ML continuously allocates AWS cost, handles tag misconfiguration, and spreads shared cost to multiple teams and business units.

Challenges

Does your organization battle with teams taking ownership of their cloud bill?

Do you have difficulty keeping track of expenses and staying within your Cloud budget?

Now You Can!

Build a culture of accountability by adding your business context to every dollar of AWS spend.

With nOps, you can easily allocate all of your cloud costs across the right business units and business outcomes.

You can efficiently distribute shared costs like bandwidth or support across the right teams.

You can handle untagged and miss-tagged resources to allocate every single dollar of AWS spend.

Trusted by innovative brands, from startups to enterprise.

Use Cases

Allocate every single dollar of AWS spend by handling untagged and miss-tagged resources.

Easily create dynamic allocation rules by region, tags, operation, accounts, and usage types.

Add your business context to every dollar of your AWS bill.

nOps helps you to custom views to meet the needs of every persona in your organization.

Distribute shared costs across different business units and teams.

With nOps, you can easily and quickly distribute shared expenses by percent of the spend, custom percentage, or evenly across different business units.

How it Works

nOps Business Contexts gives our users the unparalleled ability to access and allocate every dollar of their cloud spend in real-time.

We allow users to access years worth of cloud billing data in an interactive environment, which could easily amount to millions or billions of rows of data across thousands of billing dimensions.

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Lakehouse allows us to store structured and unstructured data in a central data lake while providing a metadata inquiry layer that is suitable for both data transformation and preserving data in formats for ML workflows.

Apache Druid real-time analytics database

By using Apache Druid, we provide you with the capability to quickly interact with your data and build custom filters and allocation rules without having to run a background report or experience any slowdowns. Druid provides subsecond queries without having to pre-cash.

Build a comprehensive business context by marrying CUR with resource metadata

When a new billing file is generated, we load both cost and usage data into a Spark data frame. We then marry and transform the data into a highly optimized version, which we write back into the Parquet format.

nOps Auto-Scaling algorithm

In order to ingest data in parallel across thousands of customers at scale, we've built an auto-scaling algorithm that allows us to dynamically scale Druids Middle Managers to ensure that our clients always have access to the latest data.