|By Andy Fenselau||
|March 14, 2006 12:00 PM EST||
Linux is emerging as the platform of choice for a growing number of enterprises across the globe. The cost, choice, and control advantages of using Open Source software for mission-critical applications have already enabled hundreds of organizations to control IT costs while expanding IT capabilities and productivity. Customers in telecommunications, financial services, and government have aggressively already deployed Linux in production workloads like databases, SAP, messaging services, and custom applications.
While moving to a new operating system is not trivial, its complexity pales in comparison to the struggles of migrating actual data from one platform to another in production environments. The ability to migrate data between different operating systems can reduce IT costs, either as part of platform migrations or multi-platform workflows.
Many companies undertake elaborate migration projects that require the manual migration of data. However, manually migrating data between typically disparate and incompatible systems requires a substantial investment of time and labor. In fact, this complexity often overwhelms the benefits it promises. Moreover, such migrations can trigger a range of risks in data loss, data corruption, policy compliance, and -worst of all - production downtime.
As a result, a growing number of organizations are turning to automated data migration tools to minimize such costs and risks in migrating production data workloads.
The Need to Migrate Data
Server and storage equipment replacements, relocation, consolidation, lease renewals, and balancing workloads all drive the need to migrate data on a regular basis. With larger disk sizes readily available, many organizations are looking to control costs by replacing a number of smaller drives with fewer but larger drives. Of course, fewer drives also means fewer spindles, which can negatively impact overall system performance.
Others simply have so much storage spread out among their worldwide data centers that storage migrations become a frequent process of removing old storage and adding new storage devices.
Other organizations discover they've outgrown their storage capabilities faster than anticipated and planned for, making their existing infrastructure unable to accommodate current and future data storage needs.
Migrating data to a Linux platform is easier said than done. According to a recent survey by Symantec over 72% of respondents take more than two weeks to plan an implementation and over 40% of the migrations involve more than five people to complete them. What's more, 61% exceed their planned downtime, 54% exceed their budget, and 83% exceed their staffing plan.
First, there are the operational issues to consider. Downtime must be scheduled, particularly in cases where the organization is making an application's data set accessible from another access point in the data center. And, with today's virtual environments, organizations have to be able to migrate from a physical to a virtual environment, and vice versa. Having inadequate manual and semi-automated approaches makes this even more difficult.
In all cases, coordination is key to a successful data migration. All administration groups involved in the process must be aware of the organization's data migration schedule, and process, and their role in it. And re-establishing access to storage must be done with minimal disruptions - which is very difficult when upgrading or adding another switch to a storage area network (SAN).
Beyond the operational challenges, organizations have to contend with storage-centric issues, the most daunting being file system issues. When moving data from a Unix to a Linux environment, for example, or simply adding new storage to a server and moving off an old storage device, it's necessary to resize the file system to use the new storage. A number of technologies facilitate this, enabling the virtualization of storage in such a way that the file system can interoperate better with the storage infrastructure.
Organizations must also deal with storage volumes that have incompatible formats, the challenge of preserving LUN and disk mappings across the migration, reclamation, and ensuring capacity at the destination. And as with any conversion and migration, the integrity of the data is at risk.
Application-level issues have to be considered when migrating data from one platform, such as Unix to Linux. Application data formats may not be cross-platform portable, some sort of conversion process on the data file format has to occur to be able to reach the same data on a Linux box.
Finally, organizations must contend with TCP/IP network-centric issues such as ensuring sufficient bandwidth and addressing interoperability concerns. Physical connectivity issues such as re-cabling and the implications on performance made by topological changes must also be addressed.
Easing Cross-Platform Data Migration
With half or more of enterprises' structured data stored in databases by some analyst estimates, this data is very likely to be migrated between unlike platforms at some point in its lifetime. But manual methods make the process unwieldy, time-consuming, and resource-intensive.
For example, moving a database from an Oracle instance running on a Sun Solaris server to another Oracle instance on a Linux server introduces a number of challenges. The storage volumes mounted on the existing system can't simply be unplugged and attached to the new server because the new Linux-based server can't interpret the information being sent.
There are a number of platform-specific factors that limit the ability to share volumes across servers. Among these are disk drive sector size and block size. As a result, new volumes have to be created on the Linux system, and these volumes have to be configured to get data from the existing Solaris server. All processing of applications has to be halted as the data moves from one platform to the next, and the data on the volumes has to be moved physically to the new Linux server. This can be done across the network or manually using tape backup and restore procedures. And the volumes will probably have to be converted before they are mounted or restored on the server. This typically happens when data is moved between platforms with dissimilar endians.
To overcome these challenges, a growing number of organizations are turning to new technologies that don't move the data but simply let it be accessed from another operating system host. The key to this technology is a new default disk format, the basis of platform-independent virtual volume building blocks, often called portable data containers. Volumes formatted with the new parameters of this disk format can be used with volume manager solutions regardless of the operating environment that initialized the disk (including issues like endianess). The resulting volume format enables platform-specific dependencies to be removed from the data movement equation, including sector and block size. In short, why convert and migrate the data when you can just convert the metadata and remount the storage device?
With this new technology, migrating data from Unix to Linux is a simple process, taking minutes, not days. Administrators unmount the file system on Unix, run a conversion utility, deport disks on Unix and import disks on Linux, start volumes, and mount the file system. According to laboratory tests this process can be done in less than a few minutes for a 500GB tablespace - whereas data conversion from tape backup would take five hours and the same process from NFS would need four hours. Actually the time it takes for such migrations isn't dependent on the total size (or capacity) of the data, but on the number of files in the file system.
The portable data-container building blocks simplify data migrations between heterogeneous server platforms. Application data storage can be used by any processing platform, which offers IT organizations greater leverage over existing heterogeneous computing resources in their environment.
Enhancing Business Performance
Moving data from one platform will never be trivial. In fact, it has historically been so hard that many organizations run their applications on sub-optimal and expensive legacy platforms just to avoid the complexities and downtime associated with data migration.
However, by leveraging new technologies that reduce the time and resources required to move data between unlike platforms - obviating the need and risk of traditional data migrations - volumes can easily be transported between unlike platforms. Physical disks can be grouped into logical volumes to improve disk utilization and eliminate storage-related downtime. Moreover, administrators have the flexibility to move data between storage arrays as needed, migrate data to new operating systems, and move files to the most appropriate storage device based on importance.
With these tools, organizations can reduce cost, risk, and downtime, while enhancing performance and maximizing the productivity of their heterogeneous IT environments.
- IBM Redbook on Migrating Data to Linux with PDC: www.redbooks.ibm.com/redbooks/pdfs/sg246390.pdf
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