Table of Contents 1. What Is Data Gravity? Data gravity describes how large datasets create “inertia” that attracts applications, services, and other data. As data grows, it becomes harder and costlier to move, shaping the placement of compute, storage, and even business logic. 2. The History and Evolution of Data Gravity The term “data gravity” … Read more
Introduction Data gravity continues to evolve, shaping the direction of hybrid and multi-cloud architectures. With more workloads, regulations, and innovations than ever, understanding future trends is essential for making smart strategic moves. In this article, we forecast what’s ahead for data gravity and offer actionable strategies to prepare your architecture for the next wave of … Read more
Introduction Disaster recovery (DR) has changed radically with the growth of hybrid cloud. While public cloud offers flexible backup and failover, the gravitational pull of on-premises and remote data shapes how fast and reliably you can recover. This article breaks down how data gravity impacts DR planning and how leading vendors help you architect for … Read more
Introduction Today’s organizations rarely operate in just one cloud. Whether for compliance, performance, or business resilience, data must often move across public, private, and hybrid environments. Achieving hybrid data mobility, moving data across clouds and sites without downtime or disruption, requires careful planning, the right tools, and proven workflows. Why Data Mobility Matters Flexible data … Read more
Introduction In the era of distributed and hybrid environments, successful IT architecture increasingly depends on how workloads are placed relative to the data they need. Bringing compute to data, rather than forcing massive data transfers, can dramatically improve performance, reduce costs, and ensure compliance. This article explains practical workload placement strategies and how major vendors … Read more
Introduction Measuring data gravity is critical for planning and executing cloud or hybrid migrations. Without the right visibility into data volumes, movement patterns, and dependencies, migrations become unpredictable, slow, or even fail. In this article, we explore what to measure, which tools to use, and how vendors like Microsoft, VMware, Nutanix, and Dell provide analytics … Read more
Introduction Even the best-planned cloud and hybrid migrations can be derailed by data gravity. When large datasets are slow or expensive to move, projects encounter delays, cost overruns, compliance violations, and end-user frustration. In this article, we break down the most common pitfalls, show where teams get stuck, and offer vendor-specific approaches to mitigate these … Read more
Introduction As organizations expand to hybrid and multi-cloud, the placement of data becomes a make-or-break factor for both application performance and compliance. Data locality means keeping data physically close to the compute resources and users that need it. In this article, we explore actionable best practices to ensure your architecture delivers on both speed and … Read more
Introduction Agentic AI is redefining the landscape of enterprise automation and intelligence. Unlike traditional rule-based systems, agentic AI leverages autonomous agents that perceive, reason, act, and adapt independently within complex environments. As organizations shift towards edge, on-premises, and hybrid cloud models, the need for self-directed, goal-oriented AI solutions has become mission-critical. This article covers the … Read more
Introduction Enterprises are rapidly evolving their IT strategies to embrace hybrid and multi-cloud architectures. The need to deliver applications faster, optimize costs, and ensure business continuity is driving organizations to modernize beyond legacy on-premises data centers. At the heart of this transformation are platforms like Nutanix and Dell PowerFlex, which together provide a flexible foundation … Read more
