Organizations all over the world are replacing their physical assets with low-cost cloud alternatives. It not only lowers IT costs, but it also speeds up innovation. Making a quick change, however, is not as simple as it may appear. Cloud adoption is worthless without a solid strategy and governance in action. Many businesses choose to go to the cloud without first preparing. The shift allows them to promote themselves more quickly and have access to a larger customer base than they could previously. Despite this, they are undecided on which tools and platforms to employ.
The cloud providers give a range of structures to help with governance and administrative policies. Make the most of your resources by utilizing the appropriate cloud platform solutions for your governance architecture. Make use of management groups to implement cost-cutting initiatives such as tagging.
The process of moving business assets such as systems, apps, and data to the cloud is known as cloud migration. Cloud governance is the process of implementing controls in place to regulate workflow accessibility and compliance in the cloud.
As cloud usage grows, governance of microservices-based multi-cloud, single-cloud, or hybrid IT infrastructures must account for speed and quality. Custom policies, guidelines, and guardrails for cloud usage must be implemented and monitored to ensure that services are acquired and consumed rationally. Even in the cloud, shadow IT is a hazard, and there is a high risk of infrastructure sprawl unless firms employ automated tools to see where and how decentralized services run. Indeed, the only way infrastructure, operations, and governance teams can effectively foster cooperation and information sharing during cloud migrations is through actionable transparency.
To explain the actions in this process, here is a 12-step approach to cloud migration and governance:
Step 1: Build inventory and collect data in survey
To obtain application data for the proposed migration approach, conduct a survey across your firm. This survey asks respondents to rate an application, an IT component, or an interface on a variety of factors to determine whether these assets can be migrated to the cloud. What phases of cloud transformation should they be included in if they must be migrated to the cloud?
Step 2: Assign migration strategies to applications
Align the TIME model with the 6R strategy to determine your application’s migration path.
Step 3: Model migration strategy (6R) as impact
Employ the 6R strategy:
- Refactor (rewrite applications to become cloud native)
- Rehost (migrate without making further changes)
- Repurchase (switch to a new service and licensing model)
- Retain (keep as-is until a later date)
- Replat form (alter select elements for the cloud)
- Retire (remove from portfolio altogether)
Step 4: Align dependencies in a transformation roadmap
Analyze dependencies to other projects and epics
Step 5: Visualize future states of an application landscape
- Select transformation plan
- Jump to timestamp
- Visualize changes in heatmap
Step 6: Discover multi-cloud services across AWS, GCP, and Azure
- Provide business context to cloud services
- Mitigate business-relevant violations
- Allocate services and show back cloud spend
- Allow account owners to use a consistent tagging system
- Create a solid foundation for comprehensive governance
Step 8: Showback cloud spend
- Assess balance of cloud spend vs. delivered business value
- Detect unallocated resources and optimize spend
Step 9: Mitigate architecture issues (i.e., tech risk)
- Determine the many forms of infractions in terms of security, availability, best practices, performance, obsolescence, and cloud spending
Step 10: Detect microservices from CI/CD and Kubernetes
- To improve efficiency, sync metadata from CI/CD pipelines and orchestration platforms into microservice catalogs.:
- Navigate and operate within the microservices environment
- Mitigate business-relevant violations
- Quickly onboard new developers and enable the support function
- Manage open-source licenses in a proactive manner
- Track deployment KPIs to improve development efficiency
Step 11: Monitor deployment KPIs
- Metrics such as deployment frequency, mean time to resolution (MTTR), and failure rates should all be monitored
Step 12: Provide self-services for new developers
- Encourage self-education
- Eliminate impediments to knowledge exchange