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Cloud Workloads, Simplified | @CloudExpo #API #Cloud #Automation
The history of cloud computing, if only conceptually, stretches back further than you may imagine
By: Automic Blog
Sep. 10, 2017 12:00 PM
Cloud Workloads, Simplified
Since its inception, cloud computing has come a long way, yet people still possess misgivings and misunderstandings about what it can do, particularly when it comes to workloads.
The Annals of the Cloud
But while the idea has been ‘in the air' - if you'll excuse the bad pun - for 50 years or so, it's only recently we've started to realize its potential, primarily because of the significant bandwidth now offered by the internet. The cloud is in many ways still a relative newcomer to our technology stacks.
When it first become a reality, the cloud's predominant focus was on using APIs to access elastic infrastructure (akin to IaaS). The cloud's capability and capacity has significantly advanced over the last decade, but many people's comprehension remains rooted in the past, and herein lies the root cause of most people's misunderstanding.
Historically, people viewed workloads as simply being ‘data + a basic understanding of how it should be processed', which has been a tricky misinterpretation to shake off, especially with this definition extending to cloud workloads. In reality, modern workloads do so much more.
Workloads and The Cloud: 2.0
Workloads are in essence well-planned services. However, the sheer breadth of what they incorporate is staggering and covers data as well the configuration of applications, hardware configuration, supporting service(s) and networks.
Efficiently managing your cloud workloads comes down to the connections you build, as the cloud requires workloads to be handled in a highly abstracted manner. This abstraction should be a way of keeping technical details from impacting the end-user. By adding this level of abstraction to your cloud workloads, you should be creating a service which makes it easier to provide a well-defined function with a definitive purpose.
Clearly defined connections allow developers to cleanly link services. Moreover, by creating well-organized containers, you introduce a highly flexible environment which can support changing workloads.
So, when we talk about cloud workloads, we're really discussing the need for configuration of different components in a virtual environment. The well-informed cloud user understands how to configure the communication between each of these disparate elements effectively.
Cloud Workloads or Traditional Workloads?
With cloud adoption comes a new raft of learning hurdles which must be cleared. There's been a history of users just ‘dumping' applications and processes onto the cloud, and while this may provide serviceable results, it is far from optimal. Not all of your workloads and applications need to be migrated to the cloud. It's approaching each instance, case by case, and asking yourself; what would the advantage really be of keeping this process on site? What would the impact be of migrating it to the cloud? The cost? If the pros don't outweigh the cons, or the cost exceeds the potential returns, in all likeliness, the process can and should remain as is.
Digital transformation is all about becoming as fast, accurate and agile as possible. By orchestrating the (virtualized) moving parts of the cloud, you can truly harness its full potential.
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