How can you avoid risks with cloud migrations?
“The biggest risk is not taking any risk…In a world that is changing really quickly, the only strategy that is guaranteed to fail is not taking risks.” – Mark Zuckerberg
Cloud computing is here to stay. The Cisco Global cloud index forecast 2015-20, forecasts that by 2020, 92 percent of workloads will be processed by cloud data centers. IT teams in organizations are grappling with aligning their cloud migration strategy into the overall business strategy. IT teams need to have a clear understanding of their business requirements. They must have a holistic view of cloud possibilities, risks, and mitigation strategies. Teams should also choose the right cloud computing model and the right cloud service provider for their business.
An overview of the three kinds of cloud computing models (and the typical challenges they create in migration) is an excellent place to start in the decision making process.
- IaaS – Infrastructure as a Service (AWS, Azure, Google Compute Engine)
- PaaS – Platform as a Service (examples: AWS Elastic Beanstalk, Heroku, Google App Engine)
- SaaS – Software as a Service (examples: Google Apps, Salesforce)
Cloud computing models
According to Richard Watson of Gartner, “Choosing the optimal application-migration option is a decision that can’t be taken in isolation. Any cloud-migration decision is, in essence, an application or infrastructure modernization decision and needs to be approached in the broader context of related infrastructure and application portfolio management programs. This decision is not solely an issue of migration but of optimization. Which cloud platform and migration techniques offer the chance to optimize the application’s contribution to stated and implied business and IT goals? Those business and supporting IT goals, described next, should be driving any cloud migration decision — not a rush to experiment with new toys.”
Furthermore, find the risks involved in cloud migration and mitigation strategies for each of them.
Risks in Cloud Migration and Mitigation Strategies
1. Intricate Architecture:
Cloud migrations often fail due to the complex architecture. Data-rich applications are also dependent on multiple elements and environments.
Migration Strategy: Manage only one complex architecture that is currently existing on-premise. Design architecture in such a way that it consumes data stored in the enterprise’s IT environment.
2. Multiple Dependencies:
Multiple dependencies with on-premises environments create problems during lift and shift.
Mitigation Strategy: The best bet is to consider solutions that test before migration. They can identify and remediate the differences in environments. Seek the services of a cloud services provider who offers services that are relevant to your needs.
3. Data Gravity:
Data Gravity becomes difficult to test if an application and its data are not working as it should in the cloud. Most replication-based migration tools require data to be moved before the apps due to improper sequencing problems.
Migration Strategy: Use live migration approaches and tools that stream the whole instance. Live migration eliminates the need for complex system synchronization and avoids consistency issues.
4. Management And Control Of Data Streams Within Heterogeneous Environments
Databases that require a consistent view create unpredictable issues. Also, transactional production servers that continuously generate data are hard to manage. After data migration, the system must track and synchronize new changes to the production application. Furthermore, there may be security concerns with storing production data in the public cloud. It leads to a lack of control over multiple data repositories across a hybrid IT landscape.
Migration Strategy: Look for solutions that offer secured connectivity in the cloud, and implement them in a highly available configuration.
5. Cloud Gravity
IT teams require workload mobility for effective data and workload migration. They must ensure these factors do not affect the business or introduce hidden costs.
Migration Strategy: In the case of data-rich enterprise applications, evaluate migration solutions for speed and simplicity. Enable portability and interoperability of stateless applications in a multi-cloud strategy, using containers.
Applications can face latency issues when using cloud applications over the Internet.
Migration Strategy: Use optimization services from a cloud service provider to help tide over latency issues.
7. Architectural difference:
It’s common to require modifications for your application design and architecture. But they may not be conducive for distributed cloud environments.
Migration Strategy: Implement a piece-by-piece evaluation and move only pertinent features.
Choosing a cloud service provider may seem like a tight-rope walk in the decision-making stage. Study your desired architecture thoroughly and choose a cloud resource that works for you. Does it scale for your enterprise, help manage fluctuations, and support the migration of critical applications? It’s essential to accomplish this without adding complexity or compromising data.
Learn how Netenrich can enable stress-free cloud assessments and migrations for your business.