在云计算领域，似乎有一种回归IT基础的明显趋势，即建立IT是为了解决的核心问题，如数据管理、安全、操作、治理和开发。所有这些都已经实行了几十年，现在应该实行。问题不在于IT在云中构建和部署主要业务系统时忽略了基本原理。但有时人们会被闪闪发光的新技术分散注意力，或者更常见的是，让旧技术看起来闪闪发光、崭新。
一、除非地基牢固，否则你无法改善建筑物
是的，被炒作的技术是有价值的。人工智能、无服务器和容器等新的创新趋势正在对业务产生积极影响。我说的是专注于技术的基础，把所有事情的基础都做好。我知道这是一个很累的类比，但这与建造任何结构都是一样的。除非地基牢固，否则你无法改善建筑物。如果你不这样做，以后就更难解决了。
数据就是最好的例子。我们从60年代就开始做数据了。然而，大多数企业很快就会承认，在2023年，他们在数据方面做得并不好，他们的企业数据只能为业务提供一小部分价值。
二、为什么我们没有解决这个问题？
为什么我们没有解决这个问题？对于大多数企业来说，数据管理系统都很复杂，而且过于异构，随着多年来企业增加了存储和管理数据的新方法，这个问题只会变得更糟。许多IT部门认为他们的数据状况是“不可修复的”，只要将其提升到一个优化水平，业务就可以利用他们的数据作为关键的战略差异化因素。
相反，我们专注于其他事情，比如数据仓库和数据集市，一些特别的数据集成，甚至是半心半意地试图构建数据湖。这些工作大多使事情变得更糟，因为数据存储和管理系统变得更加复杂，难以全面利用。
核心问题是得不到解决。数据分散在各个地方，没有集中的控制或治理，虽然您可以部署一些战术数据解决方案，但使用近乎完美的信息(基本目标)推动核心分析和业务流程在很大程度上是不可实现的。
三、其他被忽视的基本要素
（一）开发和部署：许多人认为他们已经掌握了这个问题，但他们只是将糟糕的流程和糟糕的开发工具迁移到云中。
（二）安全性：少数系统和平台是先进的，但其他系统和平台被忽视到了危险的程度。没有统一或整体的方法。
你是否察觉到了某种模式?基本上，这和数据的问题是一样的。如今，云提供商已经成为企业事实上的技术战略，值得赞扬的是，他们已经将一些注意力转移到基本面上。但他们以非常隐秘的方式做到了这一点，使基本面看起来像新想法。
事实上，有些东西是新的数据管理、数据分析和数据治理系统。尽管看起来很新，但它们解决的问题本质上更基本。老问题，新工具。
我认为，回归基础并不是一个坏趋势。你准备好解决大多数人已经放弃的问题了吗？
原文：
There seems to be a clear trend in the world of cloud computing to return to IT fundamentals—the core problems that IT was set up to solve, such as data management, security, operations, governance, and development. All these things have been practiced for many decades and should be practiced now.
The issue is not that IT is ignoring the fundamentals as they build and deploy major business systems in the cloud. But sometimes people get distracted by shiny new technologies, or more often, older technology made to look shiny and new.
Yes, hyped technologies are valuable. New, innovative trends such as artificial intelligence, serverless, and containers are having a positive impact on business. I’m talking about focusing on the basics of technology and getting the foundation of everything right. I know it’s a tired analogy, but it’s much the same as building any structure. You can’t improve the building unless the foundation is solid. If you don’t, it will be harder to fix in the future.
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Data is the best example of this. We’ve been doing data since the 60s. However, most enterprises are quick to admit that they are not doing data well in 2023, and their enterprise data is only providing a fraction of the value to the business that it could.
Why have we not fixed this? Data management systems are complex and overly heterogeneous for most enterprises, and as they added new ways to store and manage data over the years, the problem only became worse. Many IT shops view their data situation as “unfixable,” as far as taking it to a level of optimization where the business can leverage their data as a key strategic differentiator.
Instead, we focus on other things, such as data warehouses and data marts, some ad hoc data integration, even half-hearted attempts to build data lakes. Most of this work made things worse, as data storage and management systems became more complex and difficult to leverage holistically.
The core problem is not getting fixed. Data is scattered everywhere, there is no centralized control or governance, and while you can deploy some tactical data solutions, driving core analytics and business processes using near-perfect information (the fundamental objective) is largely out of reach.
Other neglected fundamentals:
Development and deployment: Many believe they have a handle on it, but they have just migrated bad processes and poor development tools to the cloud.
Security: A few systems and platforms are advanced, but others are neglected to a dangerous level. There is no unified or holistic approach.
Are you sensing a pattern? Basically, it’s the same issue as with data. The cloud providers have become the de facto technology strategy for enterprises these days, and to their credit, have shifted some attention to fundamentals. But they have done so in very stealthy ways that make the fundamentals look like new ideas.
Indeed, some things are new—data management, data analysis, and data governance systems. Despite looking new, they solve problems that are more fundamental in nature. Old problems, new tools.
Going back to basics is not a bad trend, I’m thinking. Are you ready to solve problems that most have given up on? I am.
本文由数字化转型网（www.szhzxw.cn）翻译而成，作者：David Linthicum；翻译：数字化转型网郑亚茹；翻译审核：数字化转型网默然。
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