Avesha Scaled Kubernetes Solutions on Akamai Cloud

Avesha began with a bold vision: apply decades of networking experience to the emerging challenges of cloud native infrastructure. With Kubernetes at its core, Avesha's tools help organizations orchestrate, scale, and secure applications — from legacy systems to GPU-intensive AI workloads — across hybrid environments.
 

“We saw Kubernetes as the connective tissue of cloud infrastructure,” explained Eric Peterson, Vice President of Engineering at Avesha. “We then focused on using it to make distributed applications easier to manage, scale, and migrate.”

At the heart of Avesha’s offering is KubeSlice, a connectivity mesh that allows Kubernetes clusters to talk to one another as if they were local — even across clouds and the edge. With Akamai’s infrastructure, customers can now extend these slices globally, bringing their apps closer to users, wherever they are.
 

“No matter where the clusters hosting their application are located, we enable developers with connectivity among clusters so they can easily scale the application,” said Peterson.
 

Avesha also makes it easy to do this at the edge while keeping DevOps workflows simple and developer experiences intuitive. Developers don’t need to think about where services live; they just write apps. KubeSlice ensures those services are reachable, secure, and scalable without any tunneling or heavy DevOps lift.
 

“Customers can also do more than interconnect clusters and sites. They can use Avesha to reach additional services that aren’t in a cluster and talk to databases that aren't a part of the same cluster, such as a managed service in the cloud,” Peterson continued.
 

This functionality is key for Akamai customers that are running clusters across geographies or migrating workloads from hyperscalers. KubeSlice bridges those environments, enabling real-time data exchange and simplified workload distribution.

Scaling Kubernetes workloads — especially GPU-powered AI applications — can be complex and expensive. Avesha addresses this with Smart Scaler, which accurately predicts demand and precisely scales infrastructure and application resources up or down. Combined with Avesha’s EGS, this brings AI-powered optimization to both CPU and GPU workloads.

On Akamai’s infrastructure, this means applications automatically scale up to meet demand — without overprovisioning — and scale down when idle, reducing Kubernetes cloud spend. These capabilities are especially powerful when paired with Akamai’s edge platform. 

In addition, AI Inferencing on Akamai Cloud combines cutting-edge technologies with strategic partners like Avesha to build a high-performance, low-latency ecosystem for delivering AI at the edge at scale. By making it possible for customers to only run cloud infrastructure when and where they need it, Avesha helps reduce waste, slash costs, and make interactive AI more accessible to smaller teams.

Avesha’s Kubernetes-first design also enables a flexible, staged approach to multicloud adoption. Using KubeSlice, companies can gradually migrate services from other clouds to Akamai without downtime or major rewrites. Workloads continue to function seamlessly even as they're redistributed across clouds, making Akamai an attractive destination for enterprises that are looking to reduce cloud costs or improve performance.

Even during a staged migration process, customers can immediately leverage Akamai’s high-performance and low-cost compute without code changes while retaining hypercloud managed services. In fact, Akamai took advantage of KubeSlice to simply and gradually move workloads from a third-party cloud onto Akamai Cloud without any code changes or downtime.

As Peterson explained, “With Akamai, companies can gain a powerful edge presence. We make it easy to connect, migrate, and scale in that environment.”

Beyond Akamai’s infrastructure and cloud computing services, Avesha recognized a shared commitment to customer success. Akamai’s support, co-selling opportunities, and collaborative development help Avesha bring its solutions to more enterprises, more efficiently. “Akamai actively helps us connect with customers, validate use cases, and co-create new possibilities. That kind of partnership is rare and invaluable,” explained Peterson.
 

Harnessing this strategic collaboration is a win-win. “With Akamai, we reach the right customers and constantly exchange ideas about what’s next. That alignment helps both companies deliver more value to the market,” Peterson concluded.

Avesha is a pioneer in AI-powered orchestration and scaling solutions, built on Kubernetes and optimized for both CPU and GPU workloads. Recognized as a Gartner Cool Vendor and a CNCF Sandbox project, Avesha’s technology — now including intelligent agents — empowers industries like finance, media, and healthcare to run distributed applications at scale with intelligence, efficiency, and control.