PREVIEW: How Aera Technology Isolates Data-Intensive AI Workloads for Every Enterprise Customer at Scale with vCluster

Separate Clusters for Each Customer Became a Scaling Bottleneck

Aera Technology delivers a decision intelligence platform that helps the world’s largest enterprises, across retail, media, and manufacturing, make automated, real-time business decisions. Their platform ingests and analyzes terabytes of enterprise data daily, powering data-intensive AI workloads that optimize everything from supply chains to financial operations.

To satisfy strict isolation and security needs, Aera originally provisioned a dedicated physical Kubernetes cluster for every customer. While effective at first, this approach quickly hit scaling limits:

• Infrastructure duplication: Each cluster carried its own Istio, Cert Manager, OPA, Vault, and monitoring stack, multiplying costs and creating drift.
• Slow onboarding: New customer clusters often took 30+ minutes to provision and configure, delaying time-to-value.
• High maintenance burden: Patching, upgrades, and compliance had to be repeated dozens of times across the fleet.
• Scaling limits: Managing hundreds of clusters simply wasn’t sustainable as customer growth accelerated.

Without a more efficient solution, Aera risked slowing expansion and struggling to deliver new enterprise deployments on time.

Dedicated Virtual Clusters for Every Enterprise Customer

By adopting vCluster, Aera preserved the “one cluster per customer” model required by their product architecture, but without the operational drag of managing hundreds of full clusters. Today, their entire production system runs on 150+ virtual clusters, each one powering a unique enterprise deployment.

With vCluster, Aera achieved:

• Rapid provisioning: New customer environments, in both production and pre-production, now spin up in minutes, dramatically accelerating onboarding and testing cycles.
• Shared platform stack: Core services ( Vault, OPA) run once per host cluster instead of being duplicated for every tenant.
  Shared platform stack: Core services (Cert Manager, Vault, OPA, and databases) run once per host cluster instead of being duplicated for every tenant, reducing infrastructure costs by XX% and eliminating drift.
• Reliable scale: Millions in ARR depend on vCluster-powered environments, running mission-critical AI systems without interruption.
• Simplified operations: Engineers manage far fewer physical clusters, reducing overhead and freeing time for innovation.

This architecture allows Aera to isolate every customer’s production workloads at scale while keeping operations lean, standardized, and reliable.

Mission-Critical Reliability for Enterprise AI

Aera chose vCluster because it delivered the rare combination of security, isolation, efficiency, and scalability required to support their global enterprise platform.

• Enterprise isolation: Each customer receives a fully isolated Kubernetes environment with admin-level autonomy.
• Proven reliability: vCluster underpins millions in ARR, serving as the foundation for production-grade deployments.
• Operational efficiency: Consolidating clusters reduced cost and complexity, eliminating infrastructure sprawl.
• Future-proof scale: With vCluster, Aera gains enterprise-grade features that ensure they can expand quickly without reinventing multi-tenancy.
• Trusted partnership: vCluster’s engineering expertise and Tier1-level support gave Aera confidence to scale its entire production system on virtual clusters.

As Aera’s CTO Shariq Mansoor explained: “What impressed us most wasn’t just the technology, but how responsive and invested the vCluster team has been. Their hands-on guidance and care made it easy to trust vCluster with our most critical production workloads.”With vCluster as its production backbone, Aera has transformed a scaling challenge into a competitive advantage, delivering isolated, data-intensive AI workloads for the world’s largest enterprises, at scale and with confidence.