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This article is a continuation of a series of posts about our project named Portfolio Architectures. A previous post, Portfolio Architecture Examples: Healthcare Collection, begins with a project overview, introduction, and examples of tooling and workshops available for the project. You may want to refer back to that post to gain insight into the background of Portfolio Architectures before reading further.
The collection featured today is centered around infrastructure architectures. There are currently seven architectures in this collection and we'll provide a short overview of each, leaving the in-depth exploration as an exercise for the reader.
The edge computing market is seeing exponential growth. In fact, IDC anticipates that spending on edge computing will reach $250 billion in 2024. So, what are the driving forces behind this growth?
There are many contributing factors. First, the options of where to deploy edge services are expanding from data center and central cloud to network edge, telco edge and device edge. In addition, the use cases for these new services are growing at a rapid pace, particularly since COVID-19 has decentralized the world. Looking into 2021 and beyond, here is what we can expect from the edge computing market:
The ability of a data center to preserve its functionality during different types of failures like power outages refers to data center tier. When tier levels are higher, it shows its ability to sustain data for center operations and fault-tolerant systems that will permit nonstop utilization during particular types of predicaments or emergencies. What can you expect from data center tier 1 or 2, and how does it differ from data center tiers 3 and 4.
The data center standards generate some sort of stability depending on the level of service based on the tier type and necessities it can maintain. For a period of time, 4 different tier levels have been in existence, though tier 5 is coming up with new, innovative, and more durable needs, which will be explained in this article. We will be looking at the various standards so you have a clear comprehension of the different data center tiers.
Business storage and management are integral to the daily operations of a business. As your business grows, the question of data storage must be addressed. According to a recent Gartner report, the worldwide cloud services market is projected to grow by nearly 18 percent in 2019, totaling $214.3 billion.
Despite the growing popularity of public cloud services, there are numerous convenient, affordable, and safe ways to store enterprise data, such as colocation and in-house data centers. Depending on the specific needs of your business, you may choose to prioritize factors like data control and overhead costs over convenience or vice versa. So, what is colocation, and how does it compare to in-house data centers?
By now, you’ve likely heard of “hyperconverged infrastructure,” and you and your team may even be considering adopting it. As you work through that decision, chances are you’ve wondered what sorts of problems hyperconvergence could solve for you.
Or, you might be in the camp of folks who’ve used legacy 3-tier architecture for so long that it’s a part of your DNA — and you might not be too keen on uprooting something that’s worked “just fine” for so many years.
With hyperconvergence adoption on the rise, it’s hard to believe HCI is a relatively new player in the grand scheme of IT. In fact, according to the State of the Enterprise Datacenter report, 67% of respondents are either using or are planning to adopt a hyperconverged infrastructure.
Growing demands for simplified management, increased performance, and reduced time-to-market mean that now, technologies like hyperconvergence are business necessities, not just “nice to haves.” Maintaining a competitive advantage is an increasingly difficult task, so benefits like scalability, operational efficiency, and reduced costs that help foster innovation and drive execution are integral in reaching that goal.