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Getting the most from your IaaS... does ChatGPT agree?

Shifting to IaaS from a managed service, whether delivered internally via an IT department, or externally via an ISP, is not without its challenges, and we have all heard the stories of unexpected/unbudgeted cloud invoices…

This is rarely the fault of the cloud provider, as sometimes their biggest attraction is also their biggest risk, the ability to scale infrastructure is seemingly limitless, so build it wrong, don’t put the correct guard rails in place and your infrastructure along with your costs will keep growing.

It would seem that putting a management layer on top of your IaaS is imperative, however cloud frameworks are complex this can prove costly in itself, hence we hear of some organisations repatriating workloads to on prem solutions.

We know why we built WSO by Inca, but it was a great exercise to put the statements into ChatGPT to see whether it agreed with us. Take a look below to see the outcome…



“Infrastructure as a Service is NOT a Managed Service”


I would agree with the statement that Infrastructure as a Service (IaaS) is not a Managed Service.

IaaS is a type of cloud computing service where a third-party provider hosts and manages the infrastructure needed to run applications, such as servers, storage, and networking components. The customer is responsible for managing the operating system, applications, and data hosted on the infrastructure.

On the other hand, Managed Services refers to the outsourcing of IT functions and responsibilities to a third-party provider, who takes on the day-to-day management of the customer's IT operations. Managed Services can include a wide range of IT functions, such as network management, security, and application support.

While IaaS and Managed Services can both involve outsourcing IT functions to a third-party provider, they are distinct services with different levels of management responsibilities. In IaaS, the customer is responsible for managing their applications and data, while in Managed Services, the third-party provider takes on the management of the customer's IT operations.



"Adding a Management layer can increase IaaS costs by an additional 45%"


The statement that adding a management layer can increase IaaS costs by an additional 45% may or may not be accurate, as the cost increase will depend on a variety of factors such as the specific management services being added, the size and complexity of the infrastructure, and the provider being used.

It is true that adding managed services to an IaaS solution can increase costs, as the third-party provider will charge for the additional management layer on top of the base IaaS service. However, the cost increase may not necessarily be as high as 45%.

The cost of adding a management layer can vary depending on the level of management services being added. For example, if the managed services being added are basic monitoring and support services, the cost increase may be relatively low. However, if the managed services being added are more complex, such as advanced security services or application management, the cost increase may be higher.

Additionally, the size and complexity of the infrastructure being managed can also affect the cost increase. A larger and more complex infrastructure will typically require more management services and resources, which can increase costs.

Finally, different providers may have different pricing structures for their managed services, which can also impact the cost increase. Some providers may offer more competitive pricing for managed services, while others may charge a premium.

Overall, while adding a management layer to an IaaS solution will typically increase costs, the actual cost increase will depend on a number of factors.



"Hiring qualified cloud engineering resource is challenging and expensive"


The statement that hiring qualified cloud engineering resources is challenging and expensive is generally true. Cloud engineering is a relatively new field, and the demand for cloud engineers has grown rapidly in recent years as more organizations have moved their operations to the cloud. As a result, the supply of qualified cloud engineering talent has not kept pace with the demand, which has driven up the cost of hiring cloud engineers.

Cloud engineering requires a specialized skill set that includes expertise in cloud computing platforms, programming languages, automation tools, and infrastructure management. These skills are in high demand, and qualified cloud engineers are often in short supply.

In addition to the limited supply of qualified talent, the competition for cloud engineering resources is also fierce. Many organizations are competing for the same pool of talent, which has driven up the cost of hiring cloud engineers.

Furthermore, cloud engineering positions often require specialized certifications and advanced degrees, which can add to the cost of hiring. For example, engineers with certifications in cloud technologies like Amazon Web Services (AWS) or Microsoft Azure may command higher salaries than those without these certifications.

Overall, while it is possible to find qualified cloud engineering talent, it can be a challenging and expensive process due to the high demand for these skills and the limited supply of qualified candidates.



"A hybrid model of intelligent software delivering automation and orchestration, along with warm hands when required delivers the best of both worlds"


The statement that a hybrid model of intelligent software delivering automation and orchestration, along with warm hands as and when required, delivers the best of both worlds is generally true.

Intelligent software can be used to automate many routine and repetitive tasks, which can reduce the need for human intervention and improve efficiency. Automation can also help to reduce errors and improve the quality of work.

However, there are situations where human intervention is necessary, such as when a complex issue arises that requires a deeper level of understanding or when a customer needs personalized support. In these cases, warm hands support can be invaluable in resolving the issue quickly and effectively.

By combining intelligent software automation and orchestration with warm hands support, organizations can benefit from the best of both worlds. Automation can be used to streamline routine tasks and improve efficiency, while warm hands support can provide personalized assistance when needed. This hybrid model can help organizations to reduce costs and improve customer satisfaction by providing a seamless and efficient service experience.

It is worth noting, however, that implementing a hybrid model can require careful planning and execution. The integration of automation and warm hands support must be seamless, and processes must be in place to ensure that the appropriate level of support is provided to customers when needed. Additionally, training and support for staff members may be necessary to ensure that they are equipped to work effectively within the hybrid model.


As we can see from the above, it appears that even ChatGPT agrees on how best to approach a multi-cloud strategy...

Good Job we've built WSO by Inca to fill the gap between the fantastic features of IaaS and the expense of trying to manage it!

Speak to the team and find out how WSO by Inca can enable your organisation to get the most out of your IaaS...

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