If you work with data storage and data protection, then you’re aware of the “3-2-1 rule.” System administrators consider the 3-2-1 rule a best practice for backup and disaster recovery (DR), and it is recommended by US-CERT. The 3-2-1 rule states that you should have three copies of your data (your production data and two […]

Organizations must safeguard their backup infrastructure against evolving cyber threats. A comprehensive backup and recovery strategy needs three fundamental pillars: immutability with isolation to prevent tampering and ensure separation, integrity validation to ensure backup reliability, and predictable availability when needed. These pillars form the foundation of effective data protection. Immutability with isolation ensures that backups […]

Your VMware workloads contain critical data that drives business decisions and powers your operations. Maintaining the availability and resilience of your data is a top priority where potential disasters such as ransomware threats, catastrophic hardware failures, and natural calamities, can lead to costly downtime and data loss. To address these challenges, all businesses require strategic […]

Organizations managing data lakes often require additional infrastructure to support concurrent writes from multiple applications. Traditional approaches require external systems for coordination, adding infrastructure overhead, costs, and potential performance bottlenecks. Developers typically implement client-side locking mechanisms using databases or dedicated lock services, resulting in complex multi-step workflows. Amazon S3 offers capabilities to address these concurrent […]

The exponential growth in size and complexity of foundation models (FMs) has created unprecedented infrastructure demands across compute, networking, and storage resources. Storage systems, in particular, face intense requirements for throughput, latency, and capacity. In machine learning (ML) model training, these storage demands are particularly evident in checkpointing—a critical reliability mechanism that periodically saves and […]

Organizations are increasingly focused on addressing the growing challenge of managing and analyzing vast data volumes, while making sure that their data teams have timely access to this data to enable rapid insights and decision-making. Data analysts and scientists need self-service analytics capabilities to build and maintain data products, often involving complex transformations and frequent […]

Traditionally, many enterprises and organizations with on-premises infrastructure have used boot-from-SAN (Storage Area Network) rather than using locally attached storage. Booting from SAN offers centralized management and backup of boot volumes, supports high availability through multipathing, and enables greater flexibility by allowing systems to boot from pre-configured OS images hosted on a shared storage array […]

Organizations often struggle to extract maximum value from their data lakes when running generative AI and analytics workloads due to data quality challenges. Although data lakes excel at storing massive amounts of raw, diverse data, they need robust governance and management practices to prevent common quality issues. Without proper data validation, cleansing processes, and ongoing […]

Users often use backups to help recover data after a disaster or security incident. However, what is often overlooked is the need to restore data due to an operational incident such as a data corruption event or deleted file. The ability to identify files and directories within a backup and restore them is an important […]

In today’s data-driven world, organizations face the challenge of efficiently managing and consolidating vast amounts of information from diverse sources. Whether it’s for analytics, machine learning (ML), or other business-critical applications, the ability to seamlessly transfer and organize data is crucial. However, this process can be complex, time-consuming, and prone to errors when done manually. […]