For the first time, over 10,000 Java Virtual Machines (JVMs) from a single enterprise are now collaborating in real time, sharing performance optimisations to dramatically improve application speed, scaling, and efficiency.

A leading global company has deployed hundreds of applications and microservices using Platform Prime’s Optimiser Hub, a feature that allows JVMs to exchange performance insights. 

The result is faster startup times, smoother scaling, and more efficient compute usage, leading to over 20% savings on cloud costs. In the entertainment sector, another enterprise has used Optimiser Hub to cut CPU cores and pod counts for mission-critical services by 25%–30%. Optimiser Hub works as a customer-managed service with no changes required to existing Java workloads.

Java applications in modern cloud environments face persistent challenges. Fleets of thousands of JVMs must meet strict performance standards, scale elastically, and restart rapidly during updates. Traditional JVMs operate in isolation, often underperforming and creating unpredictable spikes in resource demand. Enterprises respond by over-provisioning, driving up cloud expenses. 

According to the 2025 State of Java Survey & Report, 71% of respondents report more than 20% of their cloud compute capacity goes unused. Optimiser Hub solves this by enabling JVMs across a fleet to learn from one another, centralising optimisations and maximising efficiency.

Azul Platform Prime combines the Zing JVM, a high-speed, scalable OpenJDK build, with Optimiser Hub. The hub includes two key services:

• Cloud Native Compiler – Centralises just-in-time (JIT) compilation, reducing CPU load on individual JVMs. By caching compiled code, it accelerates runtime performance, allowing smaller instances and lower cloud costs.
• ReadyNow – Tackles Java’s warm-up lag by reusing JIT compiler profiling data. ReadyNow Orchestrator ensures applications use the optimal profile, maintaining responsiveness during traffic spikes, retail rushes, gaming surges, or market opens. It supports faster CI/CD redeployments, smoother fleet rollouts, and quicker recovery from failures.

Scott Sellers, co-founder and CEO of Azul, emphasised the platform’s impact: “Java powers the backbone of the digital economy, but performance challenges with traditional JDKs have led enterprises to overprovision cloud resources and adopt complex operational practices. 

“With the centralised services of Optimiser Hub, Azul Platform Prime has eliminated long-standing tradeoffs of performance and cost by enabling JVMs to learn from each other and collaborate across entire fleets in production, delivering faster, smoother application experiences while driving down cloud costs by 20%+. Optimiser Hub is a must-have for every business running JVM-based, mission-critical workloads in the cloud.”

Azul, headquartered in Sunnyvale, California, is the only company fully dedicated to Java. Its solutions power millions of developers, hundreds of millions of devices, and top global enterprises, including 36% of the Fortune 100, leading banks, and brands such as BMW, Mastercard, Salesforce, and Workday.

The company also launched North 2.0, a suite of new products merging FinOps, GreenOps, and AI to tackle the cost and complexity of multi-cloud infrastructure.

“This funding allows North.Cloud to deepen its commitment to solving the most pressing challenges in cloud cost management,” said Matt Biringer, co-founder and CEO. 

“We’re grateful to our investors for recognising the immense opportunity to accelerate savings, tackle complexity, and deliver sustainability-focused solutions tailored to our customers’ needs.”

Over the past year, North.Cloud has collaborated with the world’s preeminent engineering teams to monitor AWS and GCP bills, usage spikes, and commitments across fragmented dashboards. 

The newly released platform offers industry-first tools, including AI-powered recommendations, real-time fleet intelligence, and a sleek, user-first design, to deliver unprecedented clarity and actionability in cloud management. 

“We’ve been blown away by the speed and efficiency of the North team. Their unique approach consistently delivers significant savings over traditional cloud cost and visibility tools,” said Andrew Berg of Companyon Ventures. 

“With AI adoption accelerating, companies are seeing a surge in cloud usage and infrastructure complexity. North is perfectly positioned to meet this moment, helping teams stay agile and cost-efficient through automation that scales with demand.”

New Platform Highlights Include: 

• Arctic – Real-Time Commitment Automation: Arctic dynamically reallocates AWS and GCP commitments based on real usage, cutting compute costs by up to 55%—no forecasts or lock-ins needed.
• Coststreams – Cost Allocation Without Tags: Coststreams offers real-time cloud spend visibility by team or environment, without relying on inconsistent tags. Budgets are built-in and actionable.
• Agent North – AI-Powered FinOps Copilot: Ask plain-language questions in Slack or the app to analyse spend, flag anomalies, and generate instant FinOps insights, with no analyst required.
• GreenOps Impact Visualisations: Track carbon, energy, and water usage alongside cost metrics to align spend with environmental impact.
• Expanded Support for GCP: North now supports AWS and GCP optimisation in a unified workflow, bringing automation, savings, and visibility across multi-cloud environments.

Since its launch in late 2023, the platform has delivered extraordinary outcomes, including:

• Generating $0 to $6M in ARR in just 14 months.
• Achieving up to 50% savings on AWS compute spend.
• Onboarding customers in under 5 minutes, with first savings surfaced within 30 minutes.
• Ranking in the top 1% of AWS savers globally.

Already supporting verticals like content platforms, healthcare, fintech, and e-commerce, North.Cloud supports innovators like Brave and Stayntouch, helping organisations modernise infrastructure and simplify financial operations.

The public cloud today handles $200 billion in annual technology spend. Despite being one of the most complex licensing ecosystems ever made, over 95% of this spending is still managed with a credit card and a spreadsheet. 

With the AI boom poised to supercharge this category to over $1 trillion by 2030, the need for better tools has never been greater.