Modern Data Protection for Dynamic VMware Environments
The modern enterprise is continually evolving, forcing VMware admins to combat data growth and tightening budgets. Yet reliable data protection remains as crucial as ever to protect against data corruption, human error, and malicious threats such as ransomware. Whether you’re fully virtualized with VMware or running hybrid environments, Veritas can help you navigate through these
Top 5 Data Protection Attributes Necessary for VMware Environments
VMware has become the single largest and most complex workload environment organizations need to protect today. Read this paper to know the 5 data protection attributes that are a necessity in your VMware management toolbelt.
Sprawling Virtual Environments Require a Unified Approach to Data Protection
The benefits that VMware virtualization brings to enterprises are clear, but what isn’t clear is how best to approach data protection when you have other critical application environements as well. Download this paper to learn the best ways to address challenges like VM sprawl, missed SLAs, and ever increasing operational costs in a dynamic, multi-platform
High-Efficiency VM Backup: Streamlined, Simplified
As you become almost exclusively virtualized and cloud-reliant, you need new ways to lower the TCO of your VMware deployments. Download this paper to learn how best to evole your VMware data protection strategy in the new hybrid and multi-cloud world.
Veritas and Nutanix Better Together
Rapid digital transformation is replacing legacy architectures with modern architectures such as hyperconverged infrastructure. According to Stratistics MRC, the Global Hyperconverged Infrastructure market will reach approximately $17027M by 2023, and grow at a CAGR of 42.0% from 2016 to 2023. Do you need scale-out modern architecture that can easily be deployed, managed, and protected in
ESG Lab Review: Protecting Modern Workloads with NetBackup Parallel Streaming from Veritas
This ESG Lab Review documents hands-on validation of NetBackup Parallel Streaming and the available, downloadable plugins for Hadoop, for mondern big data scale-out workloads, and Nutanix scale-out hyperconverged architectures. Validation was designed to demonstrate how the solution’s agile deployment and extended protection capabilities help customers easily and efficiently protect and recover hyperconverged infrastructure (HCI) and
Top Reasons to Use Veritas NetBackup 8.1 Data Protection for Nutanix Workloads
See how a proven and tested integrated hyperconverged solution for on-premises and enterprise cloud environments, delivered by Veritas and Nutanix, simplifies modern workload backup and recovery, and delivers high scalability and performance in hyperconverged environments.
Veritas and Nutanix Integration Offers Solution for Vexing Hyperconverged Backup-and-Recovery Challenges
Enterprises are challenged with moving from legacy architectures to modern architectures in highly virtualized environments. Veritas combines industry leading NBU 8.1 data protection with Nutanix Enterprise Cloud OS to deliver an integrated hyperconverged (HCI) solution that has been tested and proven for both on-premise and enterprise cloud environments. Read this paper to learn more about
IDC: Veritas Helps Organizations Become GDPR-Ready and Data-Driven with an Expanded Information Management Portfolio
Take a holistic, integrated approach to Regulatory Compliance. Data is at the heart of Digital Innovation and organizations globally are transforming their businesses to take advantage. Whilst this strategy is a key focus, emerging data protection regulations demand better Information Management and Governance processes to ensure the business implications of GDPR become part of day-to-day
Exposing the Real Cost of Data Discovery
Data holds the key to your success, regardless of the type of business you are in or the size of your organization. Yet many of us struggle to access the information we are looking for, at the criticamal moment we want it. This new eBook from Veritas, “The Real Costs of Data Discovery”, explains why