# WEKA On Microsoft Azure WEKA on Microsoft Azure is a multicloud data platform for AI and machine learning, aimed at hybrid-cloud teams bringing accelerated-compute workloads to Azure. **Type:** Datasheet ## Introduction Organizations of all types are turning to Microsoft Azure to make their hybrid cloud strategy a reality. Next-generation workloads that rely on accelerated compute and machine learning are introducing new challenges for customers as they bring them to the cloud. These performance-intensive workloads add new pressure on infrastructure across both data center and cloud environments. Organizations with data center investments are trying to augment their on-premises applications by using the cloud to increase scalability and improve their economics. As customers increasingly add cloud infrastructure into the mix, their users demand the same performance and user experience they were used to with the on-premises deployment. Across an increasingly diverse set of industries from media and entertainment to financial services to life sciences to manufacturing, technical teams are being pressed to make smart decisions about the right infrastructure that can bridge from their on-premises deployment to the cloud. The WEKA™ Data Platform® provides the fastest, most scalable file system for Microsoft Azure, delivering the performance users expect and the scalability and simplicity the cloud promises - for every workload, even the most demanding ones. ## Why Choose WEKA on Microsoft Azure ### Run your most performance-intensive applications 7x faster in Microsoft Azure Deliver unbeatable file storage performance for your most demanding applications running in Azure, supporting high I/O, low latency, small files, and mixed workloads with zero tuning with automatic storage rebalancing. ## Dynamically Scale Up and Down to Save Costs and Time Desegregate storage and compute and scale each independently. Scale up to meet peak demands and scale down when no longer needed. Eliminate painful data resynching and resharing to make upgrades and maintenance simpler and free staff to work on more valuable projects. ## Accelerate Hybrid Cloud Workflows running on Microsoft Azure Maintain a usable copy of your on-premises data in your Azure environment, where you can use elastic compute resources to run calculations and analyses and gain new insights. Use easy, low-impact data portability to enable back-up and disaster recovery to the cloud, cloud bursting, and cloud retention and archive. ## Improve time to results by up to 90% on Microsoft Azure Your researchers, data scientists, creative teams, or other knowledge workers can analyze data faster, and collaborate seamlessly using a single copy of data optimized to meet the performance needs of every step in your workflow, and accessible from any client (Windows, Linux, Containers, or POSIX-compliant applications). ## Migrate more applications to Microsoft Azure Send snapshots of your WEKA filesystem to any Azure Blob Storage object store for backup and disaster recovery. Use your disaster recovery copy in Azure for either recovery or cloud bursting. Full and incremental snapshots include metadata to enable seamless data portability between on-prem and Azure. ## Optimize utilization of accelerated compute workloads and reduce infrastructure costs by up to 65% WEKA enables you to run your compute-intensive workloads, including HPC and ML applications, faster and more efficiently by ensuring they are never waiting on the storage infrastructure for data. ## WEKA on Azure Outperforms the Alternatives *Versus Azure Netapp Files ### 4x Faster IOPs ![Bar chart of Read IOPS per TB of capacity: WEKA versus Azure NetApp Files at 4K IOPS.](https://cdn.sanity.io/images/ult5g8gw/production/31abd136f99f437c6323c7e2e9dd686fe7436076-361x217.png) ### 2.25X Greater Throughput ![Bar chart of 64K block read throughput per TB of capacity: WEKA versus Azure NetApp Files in MB/sec.](https://cdn.sanity.io/images/ult5g8gw/production/90bb5bbe4c818218424e0d737bb98f352633906c-361x217.png) ## WEKA on Microsoft Azure Use Cases ### Run high-performance applications on Azure Deliver performance for your most demanding applications running in Azure with the world’s fastest cloud-native data platform supporting high I/O, low latency, small files, and mixed workloads with zero tuning. ### Seamlessly tier data in Azure Intelligent tiering automatically moves data between high-performance flash-based storage on Azure Virtual Machines and low-cost, massively scalable object storage in Azure Blob Storage, all in a single namespace for the best performance, scale, and economics. ### Migrate data to Azure Send snapshots of your on-premises filesystem data and metadata to any Azure Blob Storage object store for backup and disaster recovery. Full and incremental snapshots include metadata to enable seamless data portability between your premises and Azure. ### Burst data analysis to Azure Maintain a usable copy of your on-premises data in your Azure environment, where you can use elastic compute resources to run on-demand calculations and analyses and gain new insights. ### Build agile data pipelines in Azure Your researchers, data scientists, creative teams, and more can collaborate faster by using a single copy of data optimized to meet the performance needs of every step in your workflow. Customers who use WEKA from their data pipelines deliver up to 90% faster time to insights from their data. ## Sample Instance Configurations for WEKAFS ```json { "_key": "rp00227", "_type": "richTableBlock", "headerRows": 1, "markDefs": null, "rows": [ { "_key": "rp00076", "_type": "row", "cells": [ { "_key": "rp00067", "_type": "richTableCell", "content": [ { "_key": "20918fef5ae0", "_type": "block", "children": [ { "_key": "600a797217d3", "_type": "span", "marks": [], "text": "" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00070", "_type": "richTableCell", "content": [ { "_key": "rp00072", "_type": "block", "children": [ { "_key": "rp00071", "_type": "span", "marks": [], "text": "Mixed I/O Pattern" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00073", "_type": "richTableCell", "content": [ { "_key": "rp00075", "_type": "block", "children": [ { "_key": "rp00074", "_type": "span", "marks": [], "text": "Highest Performance" } ], "markDefs": [], "style": 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"strong" ], "text": "Cluster Size (nodes)" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00090", "_type": "richTableCell", "content": [ { "_key": "rp00092", "_type": "block", "children": [ { "_key": "rp00091", "_type": "span", "marks": [], "text": "6 to Hundreds" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00093", "_type": "richTableCell", "content": [ { "_key": "a40f26e9ebb4", "_type": "block", "children": [ { "_key": "4f1c6fc8ca52", "_type": "span", "marks": [], "text": "6 to Hundreds" } ], "markDefs": [], "style": "normal" } ] } ] }, { "_key": "rp00106", "_type": "row", "cells": [ { "_key": "rp00097", "_type": "richTableCell", "content": [ { "_key": "rp00099", "_type": "block", "children": [ { "_key": "rp00098", "_type": "span", "marks": [ "strong" ], "text": "Raw Capacity" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00100", "_type": "richTableCell", "content": [ { "_key": "rp00102", "_type": "block", "children": [ { "_key": "rp00101", "_type": "span", "marks": [], "text": "11.52 TB" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00103", "_type": "richTableCell", "content": [ { "_key": "rp00105", "_type": "block", "children": [ { "_key": "rp00104", "_type": "span", "marks": [], "text": "23 TB" } ], "markDefs": [], "style": "normal" } ] } ] }, { "_key": "rp00116", "_type": "row", "cells": [ { "_key": "rp00107", "_type": "richTableCell", "content": [ { "_key": "rp00109", "_type": "block", "children": [ { "_key": "rp00108", "_type": "span", "marks": [ "strong" ], "text": "Usable Capacity*" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00110", "_type": "richTableCell", "content": [ { "_key": "rp00112", "_type": "block", "children": [ { "_key": "rp00111", "_type": "span", "marks": [], "text": "5.9 TB" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00113", "_type": "richTableCell", "content": [ { "_key": "rp00115", "_type": "block", "children": [ { "_key": "rp00114", "_type": "span", 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Analytics for Application Tuning and Remote Support" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00213", "_type": "richTableCell", "content": [ { "_key": "8231348761cf", "_type": "block", "children": [ { "_key": "964686329808", "_type": "span", "marks": [], "text": "" } ], "markDefs": [], "style": "normal" } ], "isCovered": true } ] }, { "_key": "rp00226", "_type": "row", "cells": [ { "_key": "rp00217", "_type": "richTableCell", "content": [ { "_key": "rp00219", "_type": "block", "children": [ { "_key": "rp00218", "_type": "span", "marks": [ "strong" ], "text": "Performance" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00220", "_type": "richTableCell", "colSpan": 2, "content": [ { "_key": "rp00222", "_type": "block", "children": [ { "_key": "rp00221", "_type": "span", "marks": [], "text": "Up to 400 MBps / TB" } ], "markDefs": [], "style": "normal" } ] }, { "_key": "rp00223", "_type": "richTableCell", "content": [ { "_key": "d80ea2627281", "_type": "block", "children": [ { "_key": "122725c60361", "_type": "span", "marks": [], "text": "" } ], "markDefs": [], "style": "normal" } ], "isCovered": true } ] } ] } ``` *Note: Clusters use 2 node parity, regardless of size so the net capacity will scale to >98* of raw capacity as the cluster size count grows. ## For More Information To get started right away on your own self provisioned cluster go to [https://start.weka.io](https://start.weka.io). To speak to a representative or get more information [contact us](https://www.weka.io/contact-us/) [Download PDF](/api/resource-pdf?slug=weka-on-microsoft-azure)