It may be hard to believe now, but the infrastructure that holds us all together is a continuing technology project. Think about how the internet works. It’s a huge network of interconnected devices, and it runs on many different pieces of software and hardware. These interconnected devices do many different things. Some of them send data, some store it. And some of them both send and store data. Each of these different pieces of hardware and software do these things in different ways. A few of these pieces of hardware and software are in charge of moving data between the devices. That’s the job of the data infrastructure.
Despite a modern smartphone making life easier in this age and time, it is a pretty complicated device. It’s got to connect to the internet to send and receive data, run apps, access other services, and even provide a way for you to interact with the phone’s notifications, answer calls, and more. How does it all work? In this post, I’ll take a look at the components of the data connectivity infrastructure stack.
Components Of The Data Connectivity Infrastructure Stack:
Every company is dependent on the ability to communicate securely between teams and devices. This depends on the company being able to communicate and ensure that information is secure. This starts with the right infrastructure and processes to keep the network secure.
As organizations continue to discover the value of data and build more and more systems to access it, the systems that power their data infrastructure (the hardware and software that allows them to collect and process data) are also changing.
Data infrastructure is where the rubber meets the road for doing business in the modern world. The data infrastructure stack is the collection of tools, services, and technologies combined by someone to create a complete picture of their system and data. This can range from a highly dynamic, low latency system that moves data at the speed of light to a heavily loaded, legacy system that is moving data at a snail’s pace.
Technology, as it exists today, is broken. The data infrastructure that supports it is also broken and would benefit from a redesign.
As we know it, data infrastructure is on a path that is unsustainable. The main reason is that the technology upon which our data infrastructure is built is not keeping pace with the need for better security and the need for faster and cheaper storage. This is where blockchain comes in. Today’s data infrastructure is a mess of silos and siloed technologies because it is built on a platform that does not have the ability to scale.
Technology companies are constantly trying to make their products faster, better, and more user-friendly. At the same time, companies with data operations must ensure their infrastructure is reliable and available. Sometimes it seems as if there’s no rhyme or reason for when these companies start preparing for changes in the data infrastructure stack. (They’re not planning for downtime, but they’re trying to anticipate what could go wrong.)
Now, it’s not that data infrastructure is a new thing. We’ve been seeing the emergence of data-centric architectures for a while now, in tandem with the proliferation of sensors and machine learning, which is how many companies are able to make great predictions based on data. But what we’re starting to see is companies using data infrastructure to change the way their products work (for better or worse).
One of the most frustrating things about working in IT is knowing you’re about to do something important, but it’s all out of your hands now. We’re not talking about major products that are passed down from marketing or even the engineering team; this is about the infrastructure, the tools we use, the way we work, and the technologies we’re building to support our daily work. It’s always been up to the sysadmin to keep up with these things, and it’s always been up to the developers to keep the sysadmins doing their jobs.