As a principal solutions architect, I always start my cloud architecture discussions with the “triangle of truth,” or “holy trinity” of architecture principles for cloud: stability, agility, and security. You must have these three things. The rub is that hitting any two vertices of those pillars is pretty straightforward. Hitting one is trivial. From an […]
Data Privacy and Security Concerns for Multi-Cloud Organizations
The world is going multi-cloud. Enterprises are leveraging the benefits of multi-cloud services to improve operational efficiency, reduce costs, and drive faster innovation. What does this mean for data privacy? With data residing in multiple locations, it’s more important than ever for organizations to understand their data privacy risks and ensure that any sensitive data is protected. In […]
Applying the Principle of Least Privilege to Multi-Cloud Environments
Organizations across all industries are adopting cloud computing models for their flexible, scalable architectures and globally available solutions. Many startups and small businesses are also benefitting from the advanced data security solutions packaged with their cloud service provider offerings, which they wouldn’t otherwise be able to afford. However, these data security solutions require careful management. Organizations don’t […]
Implementing Unstructured Data Management in Today’s Multi-Vendor, Multi-Cloud Ecosystem
One of the challenges many organizations face is managing unstructured data’s impact within today’s diverse multi-cloud and multi-vendor infrastructure environments. For IT professionals, it can be difficult to know where to start, mainly because there are many storage technology companies with their own take on unstructured data. By separating data management into four key categories, however, it’s […]
Challenges of Data Governance in a Multi-Cloud World
Today, it would be really hard to find a business totally free of cloud services. In spite of battling centralized “no-cloud” policies in some enterprises, individual departments, work groups, and units are increasingly subscribing to services for data storage and backup, media services, CRM, hosted analytics, and more. Even developers are using Infrastructure-as-a-Service (IaaS) and […]
Five Ways Multi-Cloud Is Accelerating Medical Science
Research scientists and health care professionals are taking part in a new era in medicine. More data is being collected and analyzed than ever before in both clinical and research settings. But as pharmaceutical and health care companies begin to apply AI and machine learning to these, they need considerable computing power (“compute”) and storage. Often, they […]
The Rise of Enterprise Data Inflation
Inflation is on everyone’s minds, with consumer prices soaring by 7.9% versus a year ago, according to the most recent consumer price index (CPI), released March 10. While the mounting cost of raw materials may not be the culprit, enterprises are simultaneously watching the cost of data starting to rise as well. What do I […]
The Mainstreaming of Multi-Cloud: Good or Bad?
The business world is increasingly reaching out to the public cloud for stable data center operations at optimized cost but at scale. In the recent years, managed services and multi-cloud consultancy firms have cropped up to reduce the chances of multi-cloud implementation failures, but the general lack of deep understanding and skilled employees are still […]
2022: Becoming the Year of Containers, Kubernetes, and SDP Security
A growing number of companies are continuing to launch significant digital transformation (DX) projects in 2022, and rightly so, since this can enhance their IT and business capabilities while resulting in cost savings. This has led to a large increase in the use of containers. The StackRox State of Container and Kubernetes Security Report—Winter 2020 flagged […]
Recommendations to Level Up Your Machine Learning Platform
With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite. Today’s machine learning platforms are undergoing rapid, fundamental innovations at an architectural level. Meanwhile, organizations are […]