Storage Management

The Swordfish Scalable Storage Management API ("Swordfish") uses RESTful interface semantics and a standardized data model to provide a scalable, customer-centric interface for managing storage and related data services.

The Swordfish Scalable Storage Management API ("Swordfish") uses RESTful interface semantics and a standardized data model to provide a scalable, customer-centric interface for managing storage and related data services.

The SNIA Swordfish™ specification helps provide a unified approach for the management of storage in hyperscale and cloud infrastructure environments, making it easier for IT administrators to integrate scalable solutions into data centers. Swordfish now ensures efficient management of NVMe and NVMe-oF technology environments.

Data and Storage management across Edge, On-Premise, and Cloud is becoming a key requirement for any use case these days. This session will provide a brief introduction to Open Data Framework from SODA Foundation, which is a completely open-source solution and how it helps to address the key challenges of hybrid data management, cloud-native storage, and heterogeneous storage management. It will provide the overall architecture and key projects for different use cases of data management.

SNIA Self-contained Information Retention Format (SIRF) is an ISO/IEC 23681:2019 standard that defines a storage container for long term retention. SIRF enables future applications to interpret stored data regardless of the application that originally produced it. SIRF can be beneficial in domains that need to keep data for long periods and enable search, access, and analytics on that data in the far future. The standard also includes examples of SIRF serialization on the cloud and on tapes.
Today, storage and memory hierarchies are manually tuned and sized at design time. But tomorrow’s workloads are increasingly dynamic, multi-tenant and variable. Can we build autonomous storage systems that can adapt to changing application workloads?
In this session, we demonstrate how breakthroughs in autonomous storage systems research can deliver impressive gains in cost, performance, latency control and customer out-of-the-box experience. 
 
Kubernetes does not offer a native disaster recovery solution that can handle disaster of an entire region. While Kubernetes can be deployed as a stretch cluster to tolerate failure of a data center or an availability zone, it is typically not stretched across regional boundaries due to the high latency between regions. This talk outlines the challenges of building an application-aware regional disaster recovery solution on the Kubernetes platform.
 

A proposal to support AWS SQS API natively in Ceph RGW, for advanced Serverless computing use cases.

Bucket notification has become widespread in many applications including AI/ML and Edge Computing. We have demonstrated that Ceph Rados Gateway (RGW) bucket notifications trigger Serverless functions including Knative and AWS Lambda. Such workflows can be characterized as event push and event driven.

In DellEMC Enterprise Server/Storage Validation Organization, we perform Load testing using different workloads (Web, File, FTP, Database, Mail, etc.) on Servers to identify the performance of the Systems under heavy load. Knowing how DellEMC Enterprise Systems perform under heavy load (% CPU, % Memory, % Network, % Disk) is extremely valuable and critical. This is achieved with the help of a Load Testing Tools. Load testing tools available in market comes with its own challenges like Cost, Learning Curve and Workloads Support.

Modern CPU and NVMe technologies have made a breakthrough and have opened up new horizons for Software-Defined Storage performance. However, not everyone is aware of the new SDS performance potential or considers it unreachable, so current software solutions are not ready for the new hardware capabilities. We want to share our knowledge about developing an SDS engine that achieves 25 million IOPS per one storage node.

Pages

Subscribe to RSS - Storage Management