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The article focuses on the fundamentals of file, block, and object storage and their adaptation to cloud environments. Topics include the transition of these storage methods to the cloud, the implementation of file and object locking, and the differences between file storage protocols such as NFS, SMB, and CIFS.

The article examines the growing adoption of cloud storage, highlighting its benefits such as scalability, cost-efficiency, and enhanced security. Topics include cloud storage performance, cost optimization, and IT management challenges, along with the increased resilience and security of cloud storage solutions.

The article offers information on Kennedy Miller Mitchell (KMM), known for its work on the film Furiosa: A Mad Max Saga, switching its HPE storage and compute infrastructure to Dell PowerScale NAS arrays. Topics include KMM's adoption of generative artificial intelligence (GenAI) for pre-visualizing movie scenes, enhancing productivity in filmmaking.

The article underscores the pivotal role of data in modern society, tracing its historical impact from the printing press era to the digital age. Topics discussed include the democratization of information through technologies like the internet, the transformative influence of data in various sectors such as transportation and defense, and the growing importance of data-driven decision-making in sports, exemplified by Manchester United Football Club's information technology strategies.

The article explores the concept of key-value flash storage, which aims to enhance data efficiency by storing information in a format directly compatible with applications, eliminating the need for traditional data addressing methods like logical block addressing (LBA). Topics include the current limitations in productization of key-value storage, its potential for improved I/O efficiency and durability, and its integration in various programming environments and NoSQL databases.

The article focuses on Data Processing Units (DPUs) as a crucial deployment option in data centers, particularly for heavy data-centric workloads like artificial intelligence and analytics processing, highlighting their role in offloading tasks from central processing units to enhance overall system performance.

The article discusses Pure Storage's aim to replace traditional spinning hard disk drives (HDDs) with high-capacity solid-state drives (SSDs) by offering flash drives that significantly reduce the cost per gigabyte. It plans to achieve 300TB capacity by 2026, aiming to eradicate HDDs from the market. The company believes that its competitors may struggle to replicate its success due to its advanced software that optimizes SSD performance, giving Pure a substantial advantage.

The article discusses container storage and data protection platform offerings from the big six: Dell EMC, HPE, Hitachi, IBM, NetApp, and Pure Storage. It is reported that containers are lightweight, portable, and a cornerstone of digital transformation and cloud-native application development. It further highlights that while containerization potentially simplifies development, deployment, and operation of application environments, there has been a great deal of complexity behind the veil.

The article focuses on the rising cost of energy in datacenters and the potential for "green storage" to mitigate these costs. It explores various ways to reduce energy consumption, including auditing storage infrastructure, upgrading to more efficient hardware, and leveraging cloud computing. It also discusses the trade-offs between different storage technologies, such as hard disk drives and solid-state drives, in terms of energy efficiency and cost.

The article evaluates the unified file and object storage products including FlashBlade from Pure Storage; RING from Scality ; and OnTap OS and file system from NetApp.

The article offers information that French scientific research institute had its budgets cut and to meet the new cost constraints, it settled on Swarm software-defined object storage from DataCore. It mentions that challenge faced by the Institute of Plant Molecular Biology (IBMP) in using DataCore's Swarm S3 software-defined object storage architecture on commodity hardware.

Data lake vs Data warehouse The data lake is conceived of as the first place a firm's data flows to. Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts.

The article discusses the possible challenges faced by companies in managing their unstructured data, as well as the potential benefits of said data in business success. Other topics include the structures existing in unstructured data, network-attached storage (NAS), object storage, and the cloud services for unstructured data.

The article focuses on surveillance is changing with the evolution from simple streams of sequential images to the application of artificial intelligence to video, as well as an increasing move to use of the cloud. Topics include monitoring and retention of video camera footage still forms a central core to the world of surveillance.

In this article the author talks about rule for snapshots in storage arrays and backup software and a range of capabilities that go from mere support to fully snapshot-centric approaches. Topics include backup software also comes with snapshot functionality, and in fact some of the more recent entrants to the market have built their approach to backup around snapshots; and Snapshots capability in backup products starts with the ability to manage and copy storage hardware makers' snapshots.

The article focuses on file access storage provided in the big three public clouds including Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). It mentions that Microsoft Azure's cloud file storage options include native and NetApp-based performance options as well as varying levels of caching services.

The article discusses the basics of creating storage and specifying it for applications in containerised applications using Kubernetes, a container orchestration platform. Topics covered include ephemeral and persistent storage supported by Kubernetes, storage requirements of persistent volumes and persistent volume claims and other ways of doing Kubernetes.

In this article the author talks about rise in use of containers and their orchestration via Kubernetes, and the application landscape changing rapidly. Topics discussed run in the data center on their server with their operating system while data resides on same hardware or in shared storage, and Velero consists of a server process that runs in Kubernetes cluster and a command-line interface that allows administrators to configure scheduled backups, trigger ad-hoc backups, perform restores.

The article discusses some key similarities between the top four cloud providers in terms of their cloud storage offerings. Amazon Elastic Block Storage (EBS) offers low-latency block storage for applications that run on Amazon Elastic Compute Cloud (EC2). Microsoft Azure Blob Storage is Azure's object storage offering, which provides file serving to browsers or clients, audio and video streaming.

The article focuses on hyper-converged infrastructure and software-defined storage makers are doing to provide persistent storage for container-based deployments. It mentions integration with higher-level container management platforms, such as Docker Swarm, Kubernetes or Mesosphere Marathon and such as with the Container Storage Interface. It also mentions Pure Storage has recently added to its container storage capabilities and Western Digital introduced Docker container.