Full-stack cloud optimization

Lower cost. Smaller footprint. Faster cloud.

As systems scale, inefficiency compounds—and it all starts in the application layer. GreenShift optimizes cloud computing at source, eliminating waste where it originates.

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Built for real-world workloads
The big problem

From observation to full-stack optimization

Most cloud waste stems from application behavior and architectural decisions, not infrastructure configuration. Yet almost every efficiency tool stops at the infra layer. This means structurally limited results that force a trade-off between cost and performance. GreenShift works differently, taking an application-first, full-stack approach—tracing how real workloads consume infrastructure and create inefficiency across code, architecture, and infra.

Partners
How it works

Connect. Understand. Optimize.

1 - 4

Connect your environment

Integrate GreenShift with your existing cloud environment to build a picture of how your applications, architecture, and infrastructure interact.

Step 01

Trace full-stack inefficiency

See how application behavior and architectural decisions propagate inefficiency into infrastructure—mapping cost, performance, and energy impact.

Step 02

Optimize with full control

Allow the platform to execute approved optimizations automatically with explicit team sign-off, while attributing every action to specific workloads.

Step 03

Compound results over time

Watch results compound as the platform widens from infrastructure through architecture to code, with each layer of optimization reinforcing the other.

Step 04
Features and capabilities

What the platform delivers today

GreenShift is a platform in motion, with optimization capabilities that widen and deepen over time. What it delivers today is the foundation.

Correlates applications to infrastructure

Understand the upstream drivers of cost, performance, and energy inefficiency with a clear overview of how your applications and AI models consume infrastructure.

Maps cost and energy impact

Gain source-specific insights—not billing line items—as GreenShift maps cost and energy impact to the applications and workloads driving them.

Gives decision-grade recommendations

Enable your engineering team to make smart, informed decisions based on prioritized, actionable recommendations with clear attribution.

Sets foundations for full-stack optimization

Set your cloud up for long-term success. With GreenShift, the scope of optimization widens and deepens over time—delivering scalable results.

Impact and outcomes

Take full control of your cloud

Cloud savings that last

Resolving upstream drivers of waste delivers structurally durable results, creating long-term savings that grow over time.

Cost efficient

Cost and performance improvements

Optimizing how applications consume infrastructure means you need never choose between cost and performance again.

High performance

A sustainable structural solution

Implementing system improvements at the level of design makes sustainability a natural engineering outcome.

Energy efficient
How the platform compares

Different by design

Others

Monitor infrastructure in isolation


Report what’s expensive or slow


Recommend resource tweaks that regress


Force a trade-off between cost and performance

Analyze from application to infrastructure as a single system


Trace why—attributing every inefficiency to the application driving it


Optimize structurally at the source for compounding results


Improve cost, performance, and energy simultaneously

Most tools observe. Few understand or act.

Cloud optimization today is, ironically, inefficient. FinOps tools track billing. APM tools monitor runtime signals. Cloud vendor tools optimize their own infra. ESG tools report on carbon emissions. And right-sizing tools tune resource allocations. But none can understand or act at the application layer, where most waste originates. This is the gap GreenShift fills. Getting to the root to provide application-first, full-stack optimizations for sustainable digital growth.