12 Tips To Create A Data Migration Strategy

The Cloud Volumes HA configuration provides an AWS high availability infrastructure by maintaining two storage environments and synchronously writing to them during storage operations. This ensures that, from an application or end-user perspective, there is no downtime as there is a seamless transition to the secondary storage in case the primary storage fails. Not having a well thought out plan may result in cloud migration failure and adversely impact your business. This post addresses some of the strategies as well as challenges of cloud migration so that you will be better informed and prepared when you decide to make the transition.

To help best assess your costs between Server and Cloud, we’ve built pricing tools that provide a comprehensive view and estimation of pricing. In addition to this guide, our free migration demooffers advice, tips, and best practices for each phase, along with live chat Q&A with our migration support team throughout the demo. Plus, our one-on-one data strategy assessments are free, so take advantage and schedule one today. At this stage, remember that data can be left vulnerable during the transfer process, when it is transitioning from one secured environment to another. So prioritize what data should be converted and moved, and aim to make essential transfers only.

Self-analysis should be the first and most crucial point on the checklist before migrating to the cloud. Organizations often ignore to analyze themselves and their business needs. The significance of self-analysis is to enable the organization to set business goals and drivers so that the migration process can match their aims and objectives. Additionally, an in-depth rumination will facilitate the qualitative and quantitative analysis of the currently installed base of IT structure. Even with testing, it’s always possible to go wrong during migration.

It is important for organizations to gather performance statistics for physical servers along with CPU usage, memory usage, network throughput and disk input/output. It is advisable to collect six months of data so that the business can identify peak usage requirements and trending data. Data Migration is a multi-step process that begins with analyzing old data and culminates in data uploading and reconciliation in new applications.

Switching to the cloud will free up the IT department, allowing them to focus on more worthwhile pursuits such as data governance and network infrastructure. There are several advantages when a company decides to migrate to the cloud. Teresa leads the incubation and scaling of technologies in the cloud like edge, data mesh and heterogeneous infrastructure. This phase involves determining which sources you need to migrate. For example, you might decide to migrate your SMB shares, object namespaces or NFS exports. You can implement this phase manually or leverage automated tools.

This is possible using a solution like Plutora Test Environment Manager, which is part of a complete toolkit for application delivery. This TEM solution lets you schedule and execute functional test scripts to check application behavior and environment health, check bookings, and run test audits with custom reports. One of the downsides to using traditional applications Cloud Data Migration is that you have to install key enabling components locally. This can be very challenging for global teams with distributed workers. Lift and shift may seem like a great idea at first, especially if you have a smaller team or an application that isn’t very complex. However, teams often run into a variety of challenges when attempting this strategy.

Enterprises need a solid data migration strategy regardless of the specific driver behind the migration. Successful data migration mitigates the potential risk of inaccurate and redundant data. These risks can occur even if the source data is viable, and any problems that already exist within the source data are magnified when moved into the new system. Don’t make the mistake of assuming everyone on your team will understand these changes. These are big changes, especially for employees that have been using on-premise servers prior to migration. Being extra transparent and introducing your team to the solutions helps avoid roadblocks down the line.

Native, Automated Data Lineage

Learn more about Cisco cloud-migration products and solutions related to cloud monitoring. Companies with a conservative culture or no long-term strategy for harnessing advanced cloud capabilities are well suited for rehosting. It is important to monitor the usage of cloud services from the beginning. A central dashboard that can identify running instances across various cloud services will assist you in this.

Set a timeline and budget—estimate the time and resources required to implement the migration process and set deadlines and budgets. Since the actual cloud hardware is controlled by someone else (i.e. the cloud provider and not your organization), when debugging performance issues you could lose some transparency and control. Migrate for Compute Engine and Transferring your large datasets – Get cost and process advice for workload and data migration to Google Cloud. While it may be possible to re-architect the application during the migration stage if the application is not mission-critical, It’s generally best to do this later in the project. It’s important to remember that refactoring can take some time and requires expertise.

cloud data migration strategy

Also known as “lift, tinker and shift,” this approach is similar to rehosting, but takes it a step further by integrating a number of fundamental cloud services at the application level. For example, AWS IAM might be integrated into your application to replace or complement more traditional data center-oriented IAM systems. During the migration phase, the IT organization needs to communicate its plans; obtain, setup and design any necessary software; and perform the actual data migration. It is recommended that you run the data validation test before migration, as well as the post-migration validation test. These tests confirm that the data is in the same state after migration as before.

Cloud Migration Planning

Decide what you’ll keep as-is, what needs to be rebuilt, and what might be worth repurchasing. Azure Migrate — Microsoft’s built-in migration service serves as a central hub for tools, progress tracking, insights, and guidance to plan and successfully migrate to the cloud. Most other tools covered below are integrated into this central dashboard.

This is essentially a one-to-one move done primarily as a short-term fix to save on infrastructure costs. An organization may have steep investments in hardware infrastructure and software licensing. If so, weigh whether or not it’s worth it to migrate the workload. After a cloud migration, IT staff will focus on data performance, usage and stability, so be sure to budget for tools that support these functions. Cloud migration solutions provide users a de-risked migration procedure that can virtualize workloads and applications in a cloud environment while adhering to compliance regulations. With this additional control level, a company can eliminate some of the cost factors of operating large data centers or maintaining a one-size-fits-all solution suite.

  • However, it can take a long time — several years even — to achieve financial benefits from a cloud migration.
  • Cloud providers offer a large variety of services, but many of them cannot be extended to other cloud platforms.
  • Refactoring involves rewriting certain parts of your application to make the application suitable for a public cloud environment.
  • For apps that are essential, make sure there is a Cloud equivalent available.
  • ➢ Data should be transportable from physical and virtual environments to concepts such as virtualization.
  • Before moving your data or applications to the cloud, assemble a team of stakeholders to set objectives and explore the potential strategies to optimize your use of the cloud.

While 87% of respondents said the pandemic accelerated their cloud migration strategy, many companies’ transition plans had been in the works for years. With consistent, predictable performance in either the public cloud or on-premises, Intel® Xeon® Scalable processors give you fast, reliable processing to support your migration strategy. Migrating to the cloud can give businesses the scalability to grow quickly while managing costs and the security of their data and applications. “Lift and Shift” is an approach that makes as few changes to the infrastructure as possible. Improve the database by moving to a managed version of Oracle database, improving reliability and reducing admin workload. Offers unique services, infrastructure capabilities, tools, and support that are optimized for migrating applications and its data from your on-premises to the cloud.

That’s why they go out of the way to consider security and compliance, which includes staying on top of updates and trends that will ensure your sensitive data is safe in the cloud. The big cloud service providers run a worldwide, world-class network of facilities packed with cutting-edge tech. This ensures everything from keeping network latency low to delivering near unparalleled data backup and disaster recovery.

Infrastructure Migration

The results of this research paper can give a road map for the data migration journey and can help decision makers towards a safe and productive migration to a cloud computing environment. The above scenarios are fairly routine parts of IT operations in organizations of nearly any size. Data migration, as an essential aspect of legacy systems, modernization projects, has been recognized as a challenging task https://globalcloudteam.com/ that can lead to project failure as a whole . The main reason for overriding time and budget is the lack of a well-defined methodology that can help deal with the complexity of data migration tasks. In general, data migration is the process of transferring data from old data sources of an old system to new data sources of the target system, where the old and new systems have different data structures.

Retiring — After looking over everything in your environment, you’re likely to discover there are things you can axe without consequences. Saves money, improve security, and give your people one less tool they have to learn to use. Repurchasing — Got a legacy application that won’t easily move to the cloud? In the order below, they run from easiest and fastest to more difficult . And cloud can also make it easier for organizations with multiple offices — eliminating the need to set up infrastructure in each location. Just turn on the power and the internet and your people are ready to go.

Cloud migration helps businesses innovate faster, modernize aging infrastructure, scale globally, and get continuous real-time insights—even from complex, multi-cloud architectures. Sumo Logic works with thousands of companies like SAP, Alaska Airlines, and Dave across cloud, hybrid, and multi-cloud environments to ensure the successful migration of workloads to the cloud. However, implementing the right cloud data migration strategy and completing the steps of cloud migration requires the appropriate skills and the right technology. Service interruptions or downtime are not the ideal results for any cloud data migration strategy. To limit disruption and increase the effectiveness of the migration, it is advisable to automate repetitive patterns whenever possible.

Improve hybrid and remote work opportunities to expand operations without taking on more overhead costs. Sometimes companies will need to slowly move data across a long period before the on-premise system can be dismantled. Savings will also occur in IT areas, as the department won’t be tasked with updating and maintaining the platform.

Selecting The Cloud Deployment Model

Regardless of company size or migration complexity, we recommend all customers run through a test migration before executing a production migration. Make sure you’ve completed everything in the pre-migration checklist from the Prep phase before using ourtesting guideto walk through your test migration. In this phase you’ll do a test run and make sure everything is in order, figure out how long the migration will take, and uncover any issues before the production migration.

cloud data migration strategy

A full analysis of architecture, complexity and implementation is easier to do before the migration rather than after. Before embarking on the cloud migration process, use the steps below to gain a clear understanding of what’s involved. Instead of moving data across locations, you could decide to move the location altogether. Keep in mind that many companies with cloud computing capabilities still maintain physical data centers — often for backup. One of the primary benefits of a cloud migration is workload flexibility. If a workload suddenly needs more resources to maintain performance, its cost to run may escalate quickly.

Ensure Continuous Service

This process is also implemented when shifting data over to third-party cloud providers, when consolidating websites, performing infrastructure maintenance and upgrading software. It is also used during data center relocation and company mergers. In certain cases, the cloud provider will take care of this automatically. Also, some cloud computing models make lots of administrative tasks such as database backup, software upgrades, and periodic maintenance easier by handling them for you. There are various ways to go about a cloud migration based on the type of strategy you choose or the size of your organization. Below you’ll find two separate processes that illustrate the organization of an actual migration.

Improved accessibility to data and applications at any time, anywhere. Depending on your priorities, you may choose from a few different approaches to migrating your on-premises applications to the cloud. Today, the need for stability and flexibility has never been more necessary.

Cloud Migration Best Practices

Data integrity is essential for the optimal functioning of cloud services post-migration. Therefore, it is important to ensure quality data is migrated to the cloud in the first place. Measures should be taken to correct any bad data identified during the cloud migration process. The bad data can be corrected prior to migration, during migration, or post-migration.

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Refactoring involves rewriting certain parts of your application to make the application suitable for a public cloud environment. You may need to update them with modern services to ensure operational stability. Refactoring usually makes sense when you need to add new functions to an application, modernize it, and eliminate vulnerabilities. Before you move into production after cloud data migration, your data and applications must be stress-tested in the new environment and optimized to ensure optimal performance. Don’t rush to decommission your old platform just yet, as the first attempt at data migration doesn’t always succeed, and it might take several tries to get right.

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To reduce the total migration time, you can archive small files within larger files. The total size of the data—the migration phase increases or decreases with the total. Cloud disaster recovery systems are faster to implement because you don’t have to purchase more hardware and they have ready-to-use disaster recovery plans that meet industry standards. If some of the technology you use is proprietary, you might not be legally able to deploy it to the cloud.

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