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Greenpixie

Billions of data points collected, processed, and reported with zero waste.

September 30, 2025
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min reading time
About
Industry
SaaS: Data Engineering
  • Cloud sustainability data company powering GreenOps insights for global enterprises.
  • Tracks carbon, energy, and water metrics across AWS, Azure, and GCP.
  • ISO-verified emissions methodology supporting FinOps and ESG reporting.
  • Partner-ready SaaS architecture enabling branded dashboards and regional deployments.
Story Snapshot
  • Built Greenpixie’s GreenOps platform using Uptic’s Product & Platform Team model.
  • Engineered to process billions of data points with exceptional performance and responsiveness.
  • Delivered elegant, scalable architecture that turns data complexity into real-time insight.
  • Enables enterprise and partner clients to track sustainability impact at global scale.
AI and cloud computing now account for a rapidly growing share of global energy use—data centers are projected to consume up to 8% of global electricity by 2030.
— TechUK Cloud Sustainability Report

INTRODUCTION

As AI adoption accelerates, cloud workloads are consuming unprecedented energy and water. Greenpixie partnered with Uptic to build a cloud-native platform that turns complex cloud power consumption data into actionable carbon intelligence—at scale and with zero waste.

Background

The rise of AI and cloud computing has brought sustainability into sharp focus. Data centers alone are projected to consume up to 8% of global electricity by 2030 (TechUK Cloud Sustainability Report).

Greenpixie was founded to help enterprises and service providers measure and reduce the carbon footprint of their digital infrastructure. As sustainability requirements became a standard part of enterprise RFPs, Greenpixie needed a scalable platform capable of processing billions of usage-based data points across multiple clouds—accurately, efficiently, and in real time.

To achieve this, Greenpixie partnered with Uptic to design and build a next-generation GreenOps platform—one that could turn raw data into actionable sustainability intelligence at speed and scale.

Challenge

Processing sustainability data at hyperscale is a complex engineering problem. Each cloud provider reports differently, with millions of resources producing inconsistent and rapidly changing data.

Greenpixie needed a system that could collect, normalize, and process billions of data points from AWS, Azure, and GCP daily—while remaining responsive, accurate, and cost-efficient. The platform also had to support partner-specific branding, multi-tenant deployments, and global compliance requirements without losing performance.

The challenge wasn’t just scale—it was doing it elegantly, with a lean architecture that minimized compute waste while maximizing insight.

Greenpixie's unique data model
Cloud emissions are too often calculated using spend as an inadequate proxy for sustainability. This approach produces inaccurate and thus ineffective data, which doesn't stand up to even basic reporting requirements and cannot be used for informed data-driven decision­ making concerning approaches to reducing cloud emissions. The key is to analyze cloud usage at the most granular level available, calculating emissions metrics for every single action in the cloud. This approach makes Greenpixie's cloud emissions methodology the industry's most accurate, precise, and mature platform.

Solution

Uptic delivered a Product & Platform Team to build Greenpixie’s new GreenOps platform from the ground up—combining data engineering, UX design, and full-stack development into one outcome-driven delivery model.

  • High-Performance Data Pipeline: Designed for parallel processing, asynchronous ingestion, and intelligent caching to deliver real-time analytics at scale.
  • Cloud-Native Architecture: Multi-cloud design spanning AWS, Azure, and GCP with scalable microservices and automated failover.
  • Infrastructure-as-Code (Terraform): Consistent, repeatable deployments across providers and regions.
  • Automated CI/CD: Continuous delivery pipelines enabling rapid iteration and zero-downtime updates.
  • Partner-Ready UI Framework: Modular React components allowing white-labeled dashboards and customizable sustainability views.

Uptic’s fractional team model allowed engineers, data specialists, and QA testers to roll on and off as needed—maintaining momentum and keeping the project lean while solving one of the most data-intensive challenges in cloud sustainability.

"Uptic designed an elegant and cost-effect solution using cloud-native technologies that handles massive data volumes using on-demand infrastructure. The level of ingenuity from their technical delivery teams is without parallel."

— Will Tinney, CTO

Outcomes

Greenpixie’s new platform can now process billions of data points in real time, turning complex sustainability metrics into actionable insight for enterprises and MSPs worldwide.

  • Extreme scalability: Seamlessly handles massive multi-cloud data volumes with minimal latency.
  • Elegant efficiency: Optimized architecture minimizes compute waste while maximizing performance.
  • Partner flexibility: Enables multi-tenant and branded experiences for global service providers.
  • Operational velocity: Automated CI/CD and IaC reduce delivery cycles from months to weeks.
  • Sustainability leadership: Positions Greenpixie as a GreenOps pioneer powering transparent, measurable impact.
"We're confident in our new platform's capabilities to serve Enterprise clients, keeping us at the forefront of GreenOps. We can now aggressively scale our business."

— John Ridd, CEO
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TL;DR

If you only read one thing, make it this.

Your fractional product team, full-time engineering partner, and zero-BS cloud experts. We build it, ship it, and support it—with speed, clarity, and technical ownership.

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