Steve Daly is Director of Technology Practice at fusion alliance. He specializes in cloud native development and application modernization.
Do you remember when your business first entered the cloud and the idea sounded edgy and exciting? If you’re like most organizations, it’s been a few years since those early days, and you may be feeling a bit bogged down by workload migration. You may not see the efficiencies you imagined. Your return on cloud investment might even decrease.
You can’t go back to square one, but you can get back on track. Every journey is different, but there are four main ways to elevate your workload migration to true workload transformation.
1. Realign for impact
Workload transformation can be a long game, but it doesn’t have to be a chore. Evaluating processes and mapping potential efficiencies can help ease transition pain points and speed up your time to prove results.
If you haven’t recently reviewed your cloud roadmap, it might be time to regroup and ensure that your workload optimization strategy is still aligned with business priorities and resources. business.
Start with your current state. You could ask questions like:
• What does your current workload array include?
• How do the different environments work?
• What technical skills do you have internally?
• Which short-term and long-term business processes are impacted by technical workloads?
Then, align your workload transformation vision with broader business goals. A short stakeholder workshop might allow you to discover ideas such as:
• How your cloud strategy could help advance your broader business goals.
• How to prioritize your workload migration to support desired business outcomes, such as cost, speed, innovation, or feature streamlining.
2. Zoom before you zoom
Workload migration optimizes consumption to help you operate with fewer resources. But you don’t have to stop there. True workload transformation is maximizing efficiency at every stage.
When considering ways to transform your workloads, it’s worth taking the time to zoom in on what that entails. If your goal is a modern architecture that allows for rapid pivots and scalability, but your applications and processes need work, you may need to start with fundamental improvements before moving on to more sophisticated tools and tactics.
Be sure to keep an eye on the details throughout your cloud migration journey. Here are some factors to keep in mind:
• Adopt best practices, such as unit testing and documentation for application development, especially when moving to microservices and connecting cloud-native applications to legacy systems.
• Test each application or feature before migration to determine if it will work as expected in a cloud environment.
• Review performance, reporting and data output needs before making investment decisions.
• Choose the right instance type for your migration based on the memory, connectivity, and storage required by the workload to avoid any performance impact.
• Align migration strategies with your security standards, including backup and business continuity requirements, access and API requirements.
3. Ditch the hype
Contrary to what you may have heard, there is no single solution for workload transformation. With the digital landscape changing faster and faster, it’s all too easy to get distracted or get stuck in the mud.
Don’t buy into the hype. Joining Team AWS, Team Azure, or Team Google may not do your business a favor in the long run. That’s why many companies are adopting a multicloud or hybrid cloud model, which takes a platform-agnostic approach to workload optimization. Within this, some workloads can run on-premises, while others run in a combination of cloud options.
4. Be open-minded
However, even with varying workloads, the costs and efficiency of different cloud platforms can vary from month to month, or even week to week. Some organizations look at this and realize that they can’t afford to build every workload four (or more) different ways, so they go with one platform. It may be short-sighted.
Instead, many companies opt for some degree of containerization. Using Kubernetes and DevOps, containerizing workloads allows businesses to make in-place decisions about where to run a workload. Using this method, your team can essentially drag and drop a workload to the cheapest or most efficient cloud or on-premises location.
But why stop there? Once your workloads are containerized, adding automation can save you even more by establishing, testing, and refining patterns for workload placement without relying on time-consuming manual decisions.
Meet the future faster
Instead of getting stuck in an endless workload migration loop, the right goals and partnerships can help you innovate and modernize your architecture while supporting ongoing feature development and production. When you find the right ways to combine, host, and run your workloads, your entire business benefits from that efficiency. And you’re not just saving on performance and scalability: true workload transformation positions your business to win in the future.
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