Alluxio is an open source Data orchestration platform that can be deployed on multiple platforms. However, it can require a lot of thinking and experience to integrate Alluxio into an existing Data Architecture adhering to minimally required DevOps principles meeting Organizational standards.
The presentation talks about the best practices to set up and techniques to build a cluster with open source Alluxio on AWS EKS, for one of our clients, which made it Scalable, Reliable, and Secure by adapting to Kubernetes RBAC.
Our speaker Vasista Polali will show you how to :
- Bootstrap EKS cluster in AWS with Terraform.
- Deploy open source Alluxio in a Namespace with persistence in AWS EFS.
- Scale up and down the Alluxio worker nodes as Daemon sets by Scaling the EKS nodes with Terraform.
- Accessing data with S3 mount.
- Controlling the access to Alluxio with Kubernetes port-forwarding, “setfacl” functionality, and Kubernetes service accounts.
- Re-using the data/metadata in the persistence layer on a new cluster.
Alluxio is an open source Data orchestration platform that can be deployed on multiple platforms. However, it can require a lot of thinking and experience to integrate Alluxio into an existing Data Architecture adhering to minimally required DevOps principles meeting Organizational standards.
The presentation talks about the best practices to set up and techniques to build a cluster with open source Alluxio on AWS EKS, for one of our clients, which made it Scalable, Reliable, and Secure by adapting to Kubernetes RBAC.
Our speaker Vasista Polali will show you how to :
- Bootstrap EKS cluster in AWS with Terraform.
- Deploy open source Alluxio in a Namespace with persistence in AWS EFS.
- Scale up and down the Alluxio worker nodes as Daemon sets by Scaling the EKS nodes with Terraform.
- Accessing data with S3 mount.
- Controlling the access to Alluxio with Kubernetes port-forwarding, “setfacl” functionality, and Kubernetes service accounts.
- Re-using the data/metadata in the persistence layer on a new cluster.
Video:
Slides:
Alluxio is an open source Data orchestration platform that can be deployed on multiple platforms. However, it can require a lot of thinking and experience to integrate Alluxio into an existing Data Architecture adhering to minimally required DevOps principles meeting Organizational standards.
The presentation talks about the best practices to set up and techniques to build a cluster with open source Alluxio on AWS EKS, for one of our clients, which made it Scalable, Reliable, and Secure by adapting to Kubernetes RBAC.
Our speaker Vasista Polali will show you how to :
- Bootstrap EKS cluster in AWS with Terraform.
- Deploy open source Alluxio in a Namespace with persistence in AWS EFS.
- Scale up and down the Alluxio worker nodes as Daemon sets by Scaling the EKS nodes with Terraform.
- Accessing data with S3 mount.
- Controlling the access to Alluxio with Kubernetes port-forwarding, “setfacl” functionality, and Kubernetes service accounts.
- Re-using the data/metadata in the persistence layer on a new cluster.
Video:
Slides:
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In the rapidly evolving landscape of AI and machine learning, Platform and Data Infrastructure Teams face critical challenges in building and managing large-scale AI platforms. Performance bottlenecks, scalability of the platform, and scarcity of GPUs pose significant challenges in supporting large-scale model training and serving.
In this talk, we introduce how Alluxio helps Platform and Data Infrastructure teams deliver faster, more scalable platforms to ML Engineering teams developing and training AI models. Alluxio’s highly-distributed cache accelerates AI workloads by eliminating data loading bottlenecks and maximizing GPU utilization. Customers report up to 4x faster training performance with high-speed access to petabytes of data spread across billions of files regardless of persistent storage type or proximity to GPU clusters. Alluxio’s architecture lowers data infrastructure costs, increases GPU utilization, and enables workload portability for navigating GPU scarcity challenges.
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