Companies choose to move to the cloud for many reasons. Many believe it will save them money, either through movement away from capital expenditures, reduced overhead, or increased economies of scale. Cost savings can certainly be achieved through behavioral and workload changes, but these savings are unlikely to give you a sustainable advantage over your competitors. Advantage stems from innovation, and this is where public cloud shines.
Each CSP continually adds net new services as well as increased functionality to existing services. They are increasingly working their way up from building block services (primitives) to niche, industry-aligned value-added services. Each of these reset the industry playing field, increasing commoditization and freeing your teams to focus more directly on building out custom services that truly add to your differentiation from competitors.
It’s a smart move to choose a CSP who you believe will add the most value to your industry long term — especially if they offer you a seat at the table guiding their service investments. As medical records vendor Cerner said about their choice of AWS, “This is not just a cloud infrastructure deal. It’s a relationship where we’re utilizing their cloud infrastructure, but we place much more emphasis on the innovation component and the ability to innovate with AWS and Amazon.”
If you find out there are, you should collaborate with that department on:
If you choose to use the same CSP, you may unlock additional discounts and find synergies leveraging your company’s existing engineering talent.
Many companies publicly claim to be agnostic in their cloud platform adoption. This keeps their options open and can increase buying power during a competitive procurement cycle. New technologies like Kubernetes can even simplify the engineering required to be cloud-agnostic.
The idea of being able to deploy the same workload to any CSP at a moment’s notice sounds great in the boardroom, but misses a critical component: data. Data is fundamental to enhancing your customer experience — and it’s getting bigger all the time. Migration of data is far less straightforward than simply redeploying a Docker container, and the larger it gets, the longer it takes to migrate. As GE found out in their migration to AWS, data has gravity. The physics of networking lends to the compute layer being placed as close to the data layer as possible. Compound this with cloud-native architectures — where you increase the number of cloud-specific services you use to simplify and expedite your development and innovation process — and it’s not likely your application deployment targets will be as fluid as you’d like.
The CSPs are aware of this fundamental truth and optimize incentives towards those who go “all in” on a single CSP. You should measure your use of agnostic tooling — which often comes with its own complications like a minimal talent pool available to support — to only those services which are most likely to be needed in the multi-cloud or poly-cloud environment you’re actually planning, and minimize cycles, overhead and costs burnt on “what if” scenarios. If the service or tool is as valuable as you envision, the CSP will quickly offer a comparable solution — with a consolidated support path.
If you’re truly cloud-agnostic this choice is easy: you’ll only use a handful of lowest common denominator services and rarely, if ever, venture outside of those to avoid vendor lockin. For the rest of us who are comfortable offloading non-value-added work to a CSP, there are more and more service options to choose from each day. The key to avoiding service — and cost — sprawl is to maintain an evaluation mechanism for cloud service adoption. In large businesses this may involve enterprise architects, boards, or centers of excellence. Common criteria used in this evaluation include:
There are many paths to the cloud, and a lift and shift approach can get you there quickly. On the other end of the scale, refactoring — changing your application code — can take the longest but offers the highest benefits. However, not all applications are a fit for refactoring.
With commercial off-the-shelf software, you generally don’t have access to the source code to refactor, nor might you want to for contractual, supportability or security reasons. Those last two reasons also extend to open source software — the more you deviate from a release, the harder it may be to integrate future releases.
Custom software — whether built in-house or for hire — is the best fit for a refactor approach. The migration to the cloud is an opportune time to invest in modernization, and this extra upfront cost can pay dividends in lower operational costs and increased resiliency for the remaining lifetime of the application. A Cloud Readiness Assessment can help determine the right path to the cloud for each of your applications.
This journey of choosing a cloud service provider and considering all cloud services available is as unique as your business and should be treated as such. What works for one business, even if they are in the same industry, might not be the best for yours. And just because your competitor has chosen one cloud does not mean you should. A trusted, technology-agnostic partner like Nerdery can help you successfully navigate your cloud journey. Learn more about Nerdery’s cloud services.
Related articles
Retraining your ML models is crucial for maintaining accuracy and business value. This article covers key indicators, best practices, and the consequences of neglecting model maintenance.
Don’t get lost in the Gen AI hype. The truth is, technology itself is only one piece of the puzzle.
Your digital platform should be working for you, not against you. Outdated technology can slow down your team, stifle innovation
Start building your digital ecosystem