When you are presenting a way for IT to save money and have a better strategy to leverage the cloud, here’s a pro tip that can benefit any and all enterprises: A hybrid multi-cloud approach, with a strong private cloud configuration, creates the opportunity to consolidate storage arrays for maximum efficiency. Consolidation of storage saves on […]
The Three Things Data Practitioners Struggle With
Data Management has never been more critical than today. As AI grows more prominent, data initiatives are more important than ever. As the digital age propels us forward, the need for robust DataOps strategies becomes evident. These strategies, however, are not devoid of challenges. Data-focused practitioners have a unique relationship with data. They are grappling […]
The Struggles of Cloud and Data: Simplifying with a Single, Unified Solution
In today’s world, a single-environment approach to IT is no longer supporting the needs of modern businesses. According to my company’s fifth annual Enterprise Cloud Index (ECI), organizations today, and moving forward, are apt to use more than one infrastructure – a trend that only intensified during the pandemic due to supply chain issues. This unique combination […]
Vendor-Agnostic Multi-Cloud Management Is a True Game Changer
Global spending on public cloud in 2023 will grow by an estimated 20.7% to $591.8 billion, according to Gartner. The benefits of cloud migration are well known. Inherent variable cost structures enable businesses to evolve away from the traditional fixed-cost methods of managing IT infrastructure, adopting cloud-first models that are controllable, agile, and secure; enable operations to readily scale as needed; and optimize […]
Multi-Cloud in the World of AI
ChatGPT has emerged as a groundbreaking innovation, taking the collective imagination of technologists by storm, and promising to revolutionize how humans and machines interact. Companies and developers worldwide are harnessing the power of ChatGPT. Many applications are in heavy development, and it has quickly become an essential component of the artificial intelligence (AI) ecosystem. The […]
Cloud Architecture Mistakes: The High Costs of a DIY Mindset
This is a five-part series about the costly mistakes organizations commonly make while building a cloud architecture. Part one explained how organizations moving to the cloud can quickly lose visibility and control over their data processing and detailed how to avoid that mistake. Part two looks at the ways doing it yourself can go wrong. What would […]
The Competition Between On-Prem and Cloud Is Over – Hybrid Wins
Many organizations, when faced with the question of how to manage their workloads, ask themselves: on-premises or cloud, pitting the two against each other. But the reality is that most enterprises are operating in the world of “and,” meaning they have workloads on-prem and in the cloud – and that little three-letter word makes a world of difference. According to the State […]
Cloud Architecture Mistakes: Losing Visibility and Control Over Data Processing
This is a five-part series of articles examining five critical mistakes organizations face when building a cloud architecture, and how those mistakes can lead to soaring costs and inefficient – even risky – data management. In making their digital transformations, organizations too often lose visibility and control of their data right from the beginning. They can […]
Plans for Cloud Cost Management and Resource Optimization in 2023
With a recession looming and continuous economic uncertainty hovering, companies are looking for ways to cut costs. If they made it through the period of layoffs, now they’re turning to their tools to see where they can cut back and maximize usage of their resources. Looking into 2023, we’ll see many companies turning to cloud […]
Data Architecture 101
The term “data architecture” is defined as a set of models, policies, rules, and standards governing data flow and management within an organization. Thus, data architecture, a subset of enterprise architecture, involves the operating rules governing data-related activities like data capture, data storage, data integration, and data usage. In other words, this collection of models, standards, […]