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Cloud Requires a New IT Employee to Manage Business Services

Russell Rothstein

Image removed.

In today’s economy with sluggish job creation, there’s much talk about the change in skills required in today’s workforce. Drill down into the world of IT operations management, and there is an even greater shift happening, related not to the economy, but to cloud computing. The rapid adoption of private cloud architectures is creating ripple effects, not only on the way IT delivers services to its customers, but also on the types of skills IT requires to support these new architectures.

Cloud computing is heralding the most significant shift in IT skill sets since we displaced the armies of punch card operators with the IBM 3270. Cloud is a realization of utility computing, whereby shared resources, software, and information are provided to computers and other devices on demand. As Gartner says in a recent report, private cloud services “will require a cultural and political change inside of IT to see the role of operations move to being more proactive — requiring predefined policies, service levels and automated actions to take on the runtime environment, as opposed to the manual initiation of scripts or workflows. This requires very different skills over time — a shift away from rote work toward more planning, service analysis and a better understanding of service users in order to continually improve how the service is ultimately delivered.” (Source: Gartner “Key Considerations in the Development of a Private Cloud Architecture”).

The key phrase used by Gartner is that IT personnel will require “a better understanding of service users”, which means a better understanding of the business which is what’s driving the users to consume those IT services. In essence, cloud will necessitate IT to be more business focused. We have been talking about Business/IT alignment for too long now without sufficient progress; with the emergence of cloud models, this is no longer a choice – either IT upgrades to a business-centric service delivery function, or is ultimately to be replaced by outsourced cloud service providers that can provide utility computing services with greater cost efficiencies. That’s why Business Service Management must be at the center of your cloud management capabilities, in order to effectively plan for and manage cloud services from a business perspective.

To close up, it’s interesting to understand the new roles in IT that Gartner sees as emerging in order to support the delivery of new private cloud services:

  • Cloud service architect (new role): Designs and documents the end-to-end cloud platform
  • Portal developer: Develops interfaces that cloud consumers use to requisition services
  • Workflow specialist: Defines requirements for instantiating automated processes
  • Configuration management specialist: Develops consistent packaging and policy-conflict-free service deployment methods

We trust you are already filling these roles in your IT organization. And while these may not be the best job in the world, they most certainly beat a career as a roustabout.

Russell Rothstein is Founder and CEO, IT Central Station.

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Cloud Requires a New IT Employee to Manage Business Services

Russell Rothstein

Image removed.

In today’s economy with sluggish job creation, there’s much talk about the change in skills required in today’s workforce. Drill down into the world of IT operations management, and there is an even greater shift happening, related not to the economy, but to cloud computing. The rapid adoption of private cloud architectures is creating ripple effects, not only on the way IT delivers services to its customers, but also on the types of skills IT requires to support these new architectures.

Cloud computing is heralding the most significant shift in IT skill sets since we displaced the armies of punch card operators with the IBM 3270. Cloud is a realization of utility computing, whereby shared resources, software, and information are provided to computers and other devices on demand. As Gartner says in a recent report, private cloud services “will require a cultural and political change inside of IT to see the role of operations move to being more proactive — requiring predefined policies, service levels and automated actions to take on the runtime environment, as opposed to the manual initiation of scripts or workflows. This requires very different skills over time — a shift away from rote work toward more planning, service analysis and a better understanding of service users in order to continually improve how the service is ultimately delivered.” (Source: Gartner “Key Considerations in the Development of a Private Cloud Architecture”).

The key phrase used by Gartner is that IT personnel will require “a better understanding of service users”, which means a better understanding of the business which is what’s driving the users to consume those IT services. In essence, cloud will necessitate IT to be more business focused. We have been talking about Business/IT alignment for too long now without sufficient progress; with the emergence of cloud models, this is no longer a choice – either IT upgrades to a business-centric service delivery function, or is ultimately to be replaced by outsourced cloud service providers that can provide utility computing services with greater cost efficiencies. That’s why Business Service Management must be at the center of your cloud management capabilities, in order to effectively plan for and manage cloud services from a business perspective.

To close up, it’s interesting to understand the new roles in IT that Gartner sees as emerging in order to support the delivery of new private cloud services:

  • Cloud service architect (new role): Designs and documents the end-to-end cloud platform
  • Portal developer: Develops interfaces that cloud consumers use to requisition services
  • Workflow specialist: Defines requirements for instantiating automated processes
  • Configuration management specialist: Develops consistent packaging and policy-conflict-free service deployment methods

We trust you are already filling these roles in your IT organization. And while these may not be the best job in the world, they most certainly beat a career as a roustabout.

Russell Rothstein is Founder and CEO, IT Central Station.

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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...