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.
The limitations of on-premises hardware have often constrained traditional network infrastructure. As hybrid work models become increasingly prevalent, the demand for effective remote collaboration strategies has risen. Network-as-a-service (NaaS) emerges as a critical component of modern network architectures, offering scalable, secure, and flexible solutions to support distributed workforces. NaaS also allows organizations to access and utilize network resources on a subscription basis, thereby aligning their network capabilities with their evolving needs.
In this article, we’ll explore how one such solution plays a pivotal role in addressing these demands.
A guest writer of WEI, see Bill Frank’s biography and contact information at the end of this article.
Michael Lewis coined the term, Moneyball, in his eponymous book published in 2003 and made into a movie in 2011 starring Brad Pitt. Moneyball was about applying analytics to baseball. Billy Beane, the Oakland Athletics General Manager, was the first baseball executive to use analytics to increase the probability of winning games.
As businesses continue to adopt private cloud environments, the need for flexible and efficient management solutions is more critical than ever. Organizations looking to control their infrastructure while balancing security and scalability often turn to enterprise private cloud solutions. HPE GreenLake for Private Cloud Business Edition provides a robust platform to tackle common challenges, offering flexible private cloud options that optimize workloads across both on-premises and hybrid cloud environments.
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.
In my previous article, I wanted to show people what SASE is, what SASE is NOT, what ZTNA 2.0 means, and how this architecture and mindset can benefit your organization. Here, I want to take things to the next step and discuss the common pain points that lead customers towards a SASE solution as well as help answer any key questions that may lead to a network/security/WAN transformation.
Finally, I wanted to remind anyone reading this article: The SASE help you need is here! Now, let’s dive in.
Today, enterprise networking and security face a growing challenge stemming from an ever-expanding attack surface and company perimeter (every user and every application is a company perimeter). The front line is everywhere! With the majority of employees working off site, and the majority your enterprise data is off site in the cloud/in SaaS applications etc., each of these factors produce data leaks, resulting in a “perfect storm” for data security.
Businesses increasingly adopt and deploy multiple cloud solutions to enhance operations and cost efficiency. While public clouds offer many benefits, they may not always meet the needs of organizations with strict data sovereignty requirements, latency-sensitive applications, or a desire for greater control over their IT infrastructure. This is where private clouds come into play.
A critical aspect of any cloud governance program is ensuring continuous compliance with regulatory requirements and maintaining audit readiness. In this post, we’ll dive into how to implement continuous compliance on AWS. We’ll cover the shared responsibility model, key AWS services for compliance, and best practices for automating compliance checks and evidence collection.
