Pure Storage Cloud, Azure Native evolves at Microsoft Ignite!
In September, we were pleased to announce the General Availability of Pure Storage Cloud, Azure Native. A co-developed Azure Native Integration enabling more customers to migrate to Azure easily and benefit from Pure’s industry-leading storage platform – now supporting more customer workloads!
Take Data Management to the next level with Silk Software-Defined Azure Storage
Note: This article is co-authored by our partner Silk. In today’s data-driven world, every enterprise is under pressure to make smarter decisions faster. Whether you're running production databases, training machine learning models, running advanced analytics, or building customer-facing applications, your data needs to be more agile, secure, and readily accessible than ever before. That’s where Silk’s software-defined cloud storage platform on Microsoft Azure comes into play — bringing performance, resiliency, and intelligence to data management across the cloud. With the recent addition of Silk Echo, you can now supercharge your Copy Data Management (CDM) strategy to ensure your data isn’t just protected, it’s available instantly for any purpose — a true strategic asset. Transforming Azure IaaS with Silk's Platform Microsoft Azure offers a rich ecosystem of services to support every stage of your cloud journey, and when paired with Silk, customers gain a game-changing storage and data-services layer purpose-built for performance-intensive workloads. Silk’s software-defined storage platform runs on Azure infrastructure as a high-performance data layer between Azure compute and native storage. It works by orchestrating redundant sets of resources, as close to the DB compute as possible. Aggregating and accelerating the native capabilities of Azure, enabling databases to reach the maximum physical limits of the underlying hardware. Silk makes use of the excellent L-series of storage optimized VMs and NVME media, ensuring the data is always quickly available and able to withstand multiple failures using erasure coding. Silk is designed to address common challenges customers face when migrating relational databases — such as SQL Server, Oracle, and DB2 — to the cloud: Performance Bottlenecks: On-prem workloads often rely on ultra-low latency, high-throughput storage systems with features that are difficult to replicate in the cloud. Data Copy Sprawl: Multiple non-production environments (dev, test, QA, analytics) mean many redundant data copies, leading to storage inefficiencies. Operational Overhead: Managing snapshots, backups, and refreshes across environments consumes time and resources. Silk changes the game with: Extreme performance in the Azure cloud. Up to 34GB/s of throughput from a single VM. The combination of Silk and Azure provide a unique cost/performance balance, through the combination of a very low latency software defined cloud storage platform and sharing of Azure resources. Inline data deduplication and compression for optimized resource utilization. Autonomous, fully integrated, non-disruptive, zero cost snapshots and clones for effortless environment refreshes. Multi-zone resilience and no single point of failure. This makes it easier than ever to lift and shift critical applications to Azure, with the confidence of consistent performance, uptime, and flexibility. Elevating CDM with Silk Echo for AI While Silk’s core platform solves performance and efficiency challenges, Silk Echo for AI introduces an intelligent, AI-powered layer that revolutionizes how organizations manage and leverage their data across the enterprise. At its core, Silk Echo for AI offers next generation Copy Data Management capabilities that empower IT teams to accelerate digital initiatives, reduce costs, and maximize the value of every data copy. Key Benefits of Silk Echo for AI Smarter Data Copying and Cloning Silk Echo leverages AI to understand data access patterns and recommends the optimal strategy for creating and managing data copies. Instead of manually managing snapshots, you can automate the entire workflow — ensuring the right data is in the right place at the right time. Instant, Space-Efficient Clones Using Silk’s advanced snapshot and cloning engine, Echo creates fully functional clones in seconds, consuming minimal additional storage resources. Teams can spin up dev/test environments instantly, accelerating release cycles and experimentation. Cross-Environment Data Consistency Echo ensures consistency across copies — whether you're cloning for testing, backup, or analytics — and with AI-driven monitoring, it can detect drift between environments and recommend synchronizations. Policy-Based Lifecycle Management Define policies for how long data copies should live, when to refresh them, and who has access. Echo automates the enforcement of these policies, reducing human error and ensuring compliance. Optimized Resource Consumption Silk Echo minimizes redundant data storage through smart deduplication, compression, and AI-driven provisioning — resulting in cost savings of 50% or more across large-scale environments. Enablement for AI/ML Workflows For data science teams, Silk Echo provides curated, up-to-date data clones without impacting production environments — essential for model training, experimentation, and validation. Real-World Use Case: Streamlining Dev/Test and AI Pipelines Consider Sentara Health, a healthcare provider migrating their EHR and SQL Server workloads to Azure. Before Silk, environment refreshes were time-consuming, often taking days or even weeks. With Silk Echo for AI, the same tasks will be completed in minutes. Now, development teams have self-service access to fresh clones of production data — enabling faster iteration and better testing outcomes. Meanwhile, their data science team leverages Echo’s snapshot automation to feed AI models with real-time, production-grade data clones without risking downtime or data corruption. All of this runs seamlessly on Azure, with Silk ensuring high performance and resilience at every step. Joint Value of Silk and Microsoft Together, Silk and Microsoft are unlocking a new level of agility and intelligence for enterprise data management: Data-as-a-Service: Give every team — DevOps, DataOps, AI/ML — access to the data they need, when they need it. Free snapshots democratize data so up-to-date copies can be made quickly for any team member who can benefit from it. AI-Ready Database Infrastructure: Your infrastructure evolves from a reactive model which is addressing problems as they arise (i.e. triggering responses on alerts), to a predictive model that utilizes AI/ML to forecast issues and mitigate them before they occur by learning patterns of behavior. Silk enables real-time AI inferencing, for business-critical agents that require access to up-to-date operational data. Reduced Costs, Improved ROI: Storage optimization, reduced manual overhead, and faster time to value — backed by Azure’s scalability and Silk’s performance. Accelerated Cloud Migrations: Achieve the enhanced scalability and flexibility of a cloud migration for your Tier 1 databases without refactoring. Get Started Ready to take your data management strategy to the next level? Explore how Silk’s software-defined storage and Silk Echo for AI can accelerate your transformation on Microsoft Azure. Whether you're modernizing legacy systems, building AI-driven applications, or simply trying to get more value from your cloud investments, Silk and Microsoft are here to help. By embracing the power of Silk’s software-defined storage and Silk Echo, organizations can finally make their data in the cloud work smarter, not harder. Contact Alliances@silk.us for a deeper dive on Silk!Azure Native Pure Storage Cloud brings the best of Pure and Azure to our customers
Pure Storage Cloud is the result of a tightly coupled integration effort between the Pure and Azure teams that brings Pure’s industry-leading advanced data services to our customers. Built on rock solid Azure infrastructure, Pure makes Azure even better!Enhance Your Linux Workloads with Azure Files NFS v4.1: Secure, Scalable, and Flexible
Enhance your Linux workloads with Azure Files NFS v4.1, enterprise-grade solution. With new support for in-transit encryption and RESTful access, it delivers robust security and flexible data access for mission-critical and data-intensive applications.Protect Azure workloads with VM level consistency using Agentless Crash-Consistent Restore Points!
Today we are happy to announce public preview support for multi disk crash consistency mode in Virtual Machine (VM) restore points. A crash consistent VM restore point is an agentless solution that stores the VM configuration and point-in-time write-order consistent snapshots for all managed disks attached to a VM. This is same as the status of data in the VM after a power outage or a crash. VM restore points, announced in July’22, enabled reliable restoration of disks and VMs for data loss, corruption, disaster recovery, and infrastructure maintenance incidents. Using VM restore points, Azure Backup and ISV partners such as Commvault and Veritas offer BCDR solutions for customers. VM restore points are incremental, where the first VM restore point stores a full copy of your data. For each successive restore point of the VM, an incremental copy i.e., only the changes to your disks are stored. The incremental design enables you to benefit from the data protection of frequent backups while minimizing storage costs. You can also use the built-in copy functionality to copy your VM restore points to any region of your choice to get protection from regional failures. Key Benefits of Crash Consistent Restore Points Agentless solution Using agents for VM restore points is considered as a security, compliance, and management overhead by some partners/customers. Crash consistent restore points directly takes the multi-disk consistent snapshots from the host machine thereby removing the overhead of an agent inside the VM. OS agnostic support As an agentless solution, there is no dependency on the guest operating system (OS). All Windows and Linux OS types are supported by crash consistent restore points. Erstwhile unsupported Linux OS versions, 32-bit OS systems, Windows VMs with ARM64 etc. with application consistency mode are now supported with crash consistency mode. High Frequency support Crash consistent restore points support 1 hour frequency enabling lower RPO for applications running on Azure VMs. VM Level Consistency Prior to VM restore points, customers/partners had to use managed disk snapshots which are taken at per disk level. Due to this consistency at VM level could not be guaranteed and it was also cumbersome to manage. Resiliency solutions with crash consistent VM restore points Azure Backup: Providing first class backup support using VM restore points Azure Virtual Machine Backup enables you to create an enhanced policy to take multiple snapshots a day. This allows you to protect your virtual machines with Recovery Point Objective (RPO) as low as 4 hours. Azure Backup now supports crash consistent restore points (in private preview). Please enroll here to use the capability. “Azure Backup will enable customers to protect a wider set of Virtual Machines (VM) running Linux distributions that are not on the current support matrix as well as VMs that do not use Azure extensions using crash consistent restore points.” - Aravindan Gopalakrishnan, PRINCIPAL PDM MANAGER – Microsoft, Azure Backup Zerto – An HPE Company: Delivering Consistency efficiently with crash-consistent VM restore points Zerto an enterprise-class business continuity and disaster recovery company, is one of the first ISV partners to integrate the new crash-consistent snapshot capability into their product. This integration will enable whole VM protection with crash-consistent snapshots across multiple volumes. “Multi-volume consistency protection is one of the most sought after features by Azure Customers”. - Shannon Snowden, Senior Product Manager - Zerto, an HPE Company “Multi-volume virtual machine (VM) level crash consistency is critical in disaster recovery protection. With the new Azure crash consistent snapshot capability, it enables Zerto to create VM level crash-consistent restore points using underlying snapshots.” - Sandra Biton, Engineering Group Manager – Zerto, an HPE company Zerto 10 introduces multidisk consistency for Azure VMs, which protects VMs to, from, and within Azure with complete disk consistency. Moving away from snapshot-based replication, multidisk consistency for Azure VMs now leverages a new restore point API, offering an easier and more efficient way to manage replication and recovery operations. Get Started Click here to enrol in public preview of crash consistent VM restore points, Learn more about VM restore points. Please share your feedback or questions in the comments section below.
