Why “not cloud first, but cloud smart” must guide your Hybrid Cloud migration
Cloud migration continues to increase because of its many advantages for organizations. These include increased automation and agility, improved customer experience, higher rates of return and cost savings over time, and the ability to enable remote workers. Cloud computing is the most viable option for businesses to maintain stability and increase efficiency in a rapidly evolving business environment.
Cloud providers’ services have helped organizations expand their business, secure their infrastructure, and manage products better. According to Markets And Markets, the global cloud computing market will grow at a CAGR of 17.9% between 2022 and 2027, from an estimated $545.8 billion to $1,240.9 billion. Despite widespread cloud adoption, enterprises still struggle to embrace the cloud fully.
Whether you’re in the midst of a cloud transformation or just getting started, it’s critical to stay on top of what’s working for others, what’s holding you or your peers back, and which changes in your cloud strategy could mean the difference between excelling and falling behind.
What is driving the move to the cloud, and what’s holding organizations back?
According to IDC’s Worldwide Whole Cloud Forecast, 2022–2026, cloud spending now outpaces spending on platforms, infrastructure, and applications. By 2025, 60% of infrastructure, security, data, and network offerings will need cloud-based control platforms to satisfy enterprise demands for automation and operating cost reductions.
It’s essential to start out knowing the reasons your organization is moving to the cloud, as lack of agreement produces a sizable portion of the pain involved with cloud migration. Although there could be several drivers, your main objective needs to be obvious. Your reasons may include retiring a data center to reduce costs or enhance business continuity, modernizing applications to boost revenue, or introducing new cloud-native architectures. Decommissioning a data center and application modernization were our primary driving forces.
To fully benefit from cloud computing, organizations must overcome numerous procedural, technological, and organizational barriers. The main people-related challenges are skills gaps and internal team collaboration. The most frequent process difficulties include missed deadlines, failing to meet business objectives, cost overruns during cloud migration, increased cloud operations costs, and trouble managing governance, compliance, and risk. Technology issues include slow operational performance, cybersecurity incidents, lack of insights from data on the IT landscape, under-optimized infrastructure to support growth, and longer recovery times.
Create cloud leaders and building cloud competencies
Too few people have the necessary cloud competencies, and these skills are in high demand, so many organizations struggle to find the talent they need to finish their cloud transformations. An organization’s ability to develop its cloud infrastructure and realize a return on its technology investments is directly affected by access to cloud skills.
Organizations must strategically invest in skills-development initiatives to reach a critical mass of cloud fluency to overcome these challenges and sustain their transition to cloud maturity. Along with moving their applications to the cloud, leaders also need to migrate their workforce talent. Responsibility for creating an education strategy and selecting the best learning environments should fall to the organization’s IT, cloud, and security leaders.
Cloud leaders are essential for formulating and disseminating the cloud strategy and road map, inspiring teams to make a planned migration to the cloud, and continuously looking for innovative ways to support a self-service culture.
It is a good idea to start a community of practice (CoP) for cloud computing because it will bring important players together and encourage cloud collaboration. This helps the organization adapt to cloud adoption by promoting member interaction and supporting cloud-related training and skill development. To grow our core architecture team in our Cloud Center of Excellence (CCoE), we hired and trained team members to embrace and adopt cloud technology.
Use cloud architecture and design patterns
Architectural patterns are an effective way to apply common methods to related tasks. Once you have selected an appropriate pattern, you can apply it to the target component to build the foundation for a more detailed design for implementation.
Our CCoE has made several architectural and cloud patterns accessible for cloud migration. Our CCoE is primarily focused on fostering collaboration with cloud computing stakeholders across the organization by bringing together representatives who are directly involved in cloud-related uses and issues. Our CCoE messaging is intentionally business-friendly and emphasizes business-related benefits in the most creative and engaging ways possible.
Take a cloud-smart approach
Don’t just “lift and shift” everything as it is; this perpetuates previous mistakes, blunders, and problems. Instead, reconsider everything. Keep what works, replace what doesn’t, and discard the rest. Then migrate to the cloud only the components your business requires.
We have retired (and continue to retire) many workloads in our transition to a hybrid cloud. The traditional practice of “lift and shift” is giving way to a more methodical and strategic approach to modernization. It’s a move motivated by years of hard lessons learned and tears shed during cloud implementations.
Recognize that workloads are inextricably linked and have highly complex dependencies; therefore, you can’t just move any job to the cloud at random because that might break something. Even if the long-term goal is to move all workloads to the cloud at the same time, containerization and orchestration provide a useful hybrid option for achieving reasonable levels of flexibility and performance.
It’s crucial to develop an integration strategy that considers the sequence of each workload within the context of the larger ecosystem pipeline. Focus on splitting up very small units of processing and data to transfer them one pipeline at a time to the cloud.
Moving applications to the cloud is more complicated than it first appears. Most problems encountered are related to accessibility, performance, and security, and hybrid cloud infrastructure — where some of the application is hosted in the cloud and some is kept in an onsite data center — can worsen them. To handle these complexities, having a parallel automated testing framework is unquestionably beneficial. Such a framework can run an application benchmark on existing infrastructure and compare it to the transferred environment. This also allows decision-making to be quick and scalable.
Optimize workloads
After migration, workloads must be optimized for the cloud environment. The cloud has made it possible for workloads to be scaled on demand to accommodate horizontal infrastructure scalability. With auto-scalability, there is a significant chance of using more capacity than is required, which would drive up costs. Implementing code governance and infrastructure testing helps you avoid this type of budget increase.
Adopting a modern quality-engineering strategy is another factor in confidently embracing cloud technology and fully capitalizing on the cloud’s opportunity. For example, we are implementing intelligent workload placement across our hybrid cloud platform to help identify the best location to run the workload, alleviate resource contention, and improve the performance of applications and infrastructure by balancing existing workloads inside a container. IT leaders can make sure applications and workloads are deployed where they will most effectively support the overall business by concentrating on the key drivers for workloads like latency, security, customer experience, cost, and availability.
Validating business processes after migration helps ensure that automated controls generate the same results without impeding standard business operations. Data integrity must be ensured, and risks must be properly identified and managed to eliminate the possibility of data loss.
Establish governance and transparency
An organization’s inability to adopt a modern technology ecosystem is largely due to poorly managed cloud usage and outdated IT infrastructures. They increase costs, make flaws more obvious, and amplify inefficiencies. IT leaders should consider those issues when looking for efficiencies, enhancements, and cost savings. The chance of overspending on cloud computing rises along with the cloud environment’s complexity.
To align and hold departments accountable for cloud usage and spending, organizations and IT leaders must prioritize creating a transparent culture by identifying internal systems and processes for finance, IT, and other departments. Encouraging a culture of transparency helps organizations improve collaboration, visibility, and see what is possible.
Additionally, the CCoE (or CoP) must put safeguards in place to lessen exposure to risks associated with the cloud and create policies to encourage “doing the right thing.”
Final takeaway
Knowing your organization’s motivations for moving to the cloud is critical. Since moving to the cloud requires a change in perspective and operational processes, adopt a cloud-ready strategy to ensure you get the full value of cloud services. Create an adaptable architecture to support multi-cloud and hybrid cloud deployments and take the subtle shortcuts necessary to keep your migration strategy on track.
Strategically invest in upskilling programs, implement a CCoE, create a transparent culture, and take a more systematic approach to workload migration and optimization to overcome people, process, and technology challenges.
Focus not only on reducing IT costs, but also on using the cloud to provide platforms for next-generation services that add value to your business. The cloud is a requirement to be competitive and successful today, and improved automation, agility, and customer experience — not rapid cloud migration — are the true indicators of success.
Pimmi Malhotra is Leader, CIO Hybrid Cloud COE, Governance at IBM based in Sandy Springs, GA. The above article is personal and does not necessarily represent IBM’s positions, strategies or opinions.
