ActiveViam Wins “Best Use of Cloud” Award for Atoti Analytics Engine

As financial institutions deepen their commitment to cloud conversion, the expectations placed on risk technology leaders have increased dramatically.Higher data volumes, more complex intraday analytics, heightened regulatory scrutiny and rising infrastructure costs have amplified the urgency for banks to rethink how they architect real-time risk and profit-and-loss systems. This year’s winner of the Best use of cloud category, ActiveViam, distinguished itself by demonstrating how cloud innovation can be applied with precision to generate significant performance gains and quantifiable commercial advantage.

The company’s flagship in-memory analytics engine, Atoti, has long been a critical part of the technology stack for institutions demanding high-speed aggregation, scenario analysis and real-time risk intelligence. In 2025, ActiveViam expanded Atoti with a trio of cloud-focused enhancements that the judging panel felt showcased not only complex engineering, but also clear, validated benefits in large-scale production environments. These developments – optimising Atoti for AWS Graviton, integrating Coordinated Restore at Checkpoint (CRaC) for Java Virtual Machine (JVM)

Key points:

* ActiveViam won the Best use of cloud award for cloud-focused upgrades to its atoti analytics engine.
* Atoti was optimised for AWS Graviton, gained CRaC-enabled JVM hibernation, and added an Atoti PaaS offering.
* Nomura, running 100+ cloud instances, cut hardware spend by 40% after moving to Graviton, with no compromise to latency or analytics.
* CRaC cut Nomura’s cloud inactivity window from 24 hours to one hour, freeing 23 hours per instance and saving millions of dollars annually.

Summary:

ActiveViam won Best use of cloud for enhancing Atoti with AWS Graviton optimization, CRaC-based JVM hibernation and atoti PaaS. Nomura saw 40% lower hardware spend and inactivity cut from 24 hours to one.Unparalleled granular aggregation capability at a dramatically reduced cost.

CRaC: Revolutionizing Cloud economics for Risk Analytics

Cloud Resource Acceleration and Containment (CRaC) is a new technology developed by Atoti that significantly reduces cloud costs and improves performance for risk analytics applications. By serializing the entire Java Virtual Machine (JVM) memory image, CRaC enables near-instant request resumption with full past data, optimizing resource utilization and offering a new operating model for deploying risk analytics.

The Challenge of Cloud Costs in Risk Analytics

Risk analytics applications, particularly in the financial sector, are notoriously resource-intensive. They often require substantial compute power to process large datasets and meet stringent regulatory requirements. Traditional cloud deployments struggle with the fluctuating demand characteristic of risk calculations, leading to significant wasted resources and high costs. Institutions often over-provision to handle peak loads, resulting in idle capacity during quieter periods.

How CRaC Works

CRaC addresses these challenges by serializing the complete memory image of the JVM – encompassing aggregates, dictionaries, and data structures. This process creates a snapshot of the application’s state. When the application needs to be restored, it resumes almost instantly from this snapshot, eliminating the need for lengthy recomputation and data reloading.This capability offers a unique combination of speed, data integrity, and operational resilience.

Key Benefits of CRaC

• Reduced Cloud Costs: By enabling rapid application resumption, CRaC allows institutions to reserve compute capacity only when needed, avoiding the expense of maintaining idle resources.
• Faster Application Resumption: The serialized JVM image allows applications to restart almost instantly, minimizing downtime and ensuring timely risk calculations.
• Improved Resource Utilization: CRaC optimizes the use of cloud resources, reducing waste and maximizing efficiency.
• Enhanced Operational Resilience: The technology provides a robust mechanism for recovering from failures and maintaining buisness continuity.

Impact on Financial Institutions

Atoti reports that CRaC has delivered millions of dollars in annual savings for a major bank and has broadened the range of use cases deployed on Atoti and its cloud infrastructure. Atoti’s proclamation highlights the transformative potential of CRaC for risk and trading businesses that experience significant intraday fluctuations in compute demand. This innovation fundamentally alters the economics of cloud consumption for these organizations.

A New Operating Model for Risk Analytics Deployment

CRaC facilitates a new operating model for risk analytics deployment. Instead of continuously running resource-intensive applications, institutions can now serialize them when demand is low and quickly restore them when needed. This shift allows for more agile and cost-effective risk management practices.

Key Takeaways

• crac is a technology that serializes the JVM memory image for rapid application resumption.
• it significantly reduces cloud costs by optimizing resource utilization.
• CRaC improves operational resilience and ensures business continuity.
• The technology is particularly beneficial for risk analytics applications with fluctuating compute demands.

As cloud adoption continues to grow in the financial sector, technologies like CRaC will become increasingly vital for managing costs and maximizing the value of cloud investments. The future of risk analytics lies in intelligent resource management and the ability to adapt quickly to changing market conditions.