Cyberattacks have grown in sophistication and frequency, so safeguarding infrastructure has never been more critical. Organizations need solutions that prioritize security, streamline operations, and adhere to zero-trust network principles.
Years ago, disaster recovery discussions focused primarily on whether it was necessary. Organizations looking for basic off-site data protection sought solutions that allowed for on-demand backup and retrieval of VMs from the remote location. However, remote replication doesn’t equate to disaster recovery. For true failover protection, you need a true Disaster Recovery solution option that allows VMs to operate directly from the remote site. Businesses now realize the difference and are implementing DR to preserve their business operations during a disrupting event.
Managing business infrastructure today is like juggling multiple balls in the air: balancing a compute platform including traditional servers on the one hand, cloud resources on the other, and constant security threats demanding your attention. Imagine if this could be as seamless as a single, smooth motion: a unified platform streamlining server modernization by integrating on-premises and cloud environments effortlessly.
Organizations face significant challenges in optimizing their infrastructure to meet growing operational demands while managing costs. One of the key areas of concern is the imbalance between memory and CPU utilization, which highlights the need for innovative solutions like memory tiering and data storage optimization. Without addressing these inefficiencies, organizations face increased total cost of ownership (TCO) and underutilized processing power, resulting in wasted resources, including software licenses, power, and cooling.
Modern higher education campuses rely on a strong digital infrastructure. As each incoming graduating class grows more technically savvy and more devices and applications become integral to learning, universities and colleges require high-performance networks to support the needs of students, faculty, and staff while safeguarding sensitive data from cyber threats.
In the previous posts in this series, we explored the fundamentals of cloud governance, strategies for managing shadow IT, best practices for building a Cloud Center of Excellence (CCoE) and implementing continuous compliance on AWS. As organizations increasingly adopt DevOps practices to accelerate innovation, the challenge becomes ensuring that security is seamlessly integrated into this rapid development and deployment cycle. In this post, we’ll explore how to enable secure DevOps practices on AWS, highlighting key principles and best practices for embedding security into every phase of your development workflows.
Managing server hardware costs is a constant challenge for organizations. Take memory, for example: it is essential for virtualized environments, but often comes with a high price tag. This issue is especially pronounced for Tier 2 and Tier 3 cluster deployments, where budget constraints can hinder performance optimization.
Hybrid work strategies have transformed how organizations ensure a consistent and secure experience for employees, regardless of their location. Similarly, organizations should expect the same level of consistency and security for their compute infrastructure throughout its lifecycle.
Higher education institutions today require a higher standard of network as they face unprecedented demands on their network infrastructure. Often, the list of demands on wireless infrastructure exceeds that of a corporate enterprise. Notable expectations include:
Compute platforms have evolved from basic infrastructure components to the digital backbone of modern businesses. With data volumes skyrocketing and business demands intensifying, organizations are shifting towards more agile, scalable, and efficient computing solutions. The traditional on-premises model is increasingly being replaced by hybrid cloud environments that combine the strengths of both worlds. Today, compute platforms are central to transforming data into value, thus powering critical applications, and accelerating workloads.
