As a cloud solutions architect with over 10 years of experience under my belt, I have witnessed hundreds of migrations to the cloud. Most of them were triggered by the ever-increasing complexity of managing on-prem resources, the need for global data availability, and, of course, the desire to dramatically reduce spending on IT infrastructure.
What many of these first-time cloud adopters failed to do was to perform the analysis of the various types of cloud deployment models and juxtapose them with the performance needs of their current and prospective systems. Let’s take a quick look at what the market has to offer and what steps you should consider prior to embarking on your cloud endeavor.
Private clouds give their owners a lot more leeway in terms of balancing their hardware and software use and, therefore, offer more opportunities for cutting day-to-day costs. Based on my experience, there are just a few key factors to reduce costs:
Public clouds require the most attention in terms of cloud cost optimization. Remember, they are designed with the pay-as-you-go billing model in mind, so it’s important to identify which resources in your infrastructure need to be up and running all the time and which can be accessed occasionally.
Depending on your findings, you may want to switch to a capped, prepaid resource allocation plan and spend extra on irregular cloud needs only.
Here are six key takeaways from my experience with public clouds:
Hybrid and multi-cloud
Hybrid and multi-cloud configurations combine the characteristics of private and public clouds, which makes all the recommendations above fully applicable to them as well. If you are considering a hybrid approach, make sure to keep as much as possible inside your private cloud for maximum resource utilization and security, then complement it with a public cloud deployment that can scale up quickly to accommodate peak loads on your servers. This way, you will know what your monthly spending is with a great degree of accuracy and only need to watch out for those edge cases causing overflows and requiring extra computing needs.
Savings in multi-cloud models, on the other hand, will largely depend on the cloud services that your organization is looking for. For example, if the work of one of your departments heavily relies on Service X from Google, while a different business unit strongly prefers Service Y from Amazon, it will make sense to create a multi-cloud environment incorporating those two services and making them accessible from the company’s private cloud. Don’t forget that you will need a good DevOps team to accomplish this.
Every cloud has a silver lining
For someone who is just starting to explore the world of cloud computing, its diversity may seem to be a bit too much. However, with the right approach to cloud migration services, everything is possible -- even saving an ample amount of money by managing your clouds the right way. In short, here are the rules:
Sergiy Seletskyi is an IoT Practice Leader and Head of CoE at Intellias. Seletskyi helps companies harness the right IoT technology stack to scale business and make it future proof. He is strategic thinker with extensive knowledge of the IT Industry in a wide variety of innovative solutions for different business domains.The InformationWeek community brings together IT practitioners and industry experts with IT advice, education, and opinions. We strive to highlight technology executives and subject matter experts and use their knowledge and experiences to help our audience of IT ... View Full Bio