Replicated Cloud Storage

Replication for cloud storage will allow organizations to augment the durability of their data by making copies of it across multiple zones and regions. Replicated cloud storage will allow you to isolate workloads by routing the types of requests to different areas. We’re going to be covering how the process of replication works and how it can be a force multiplier for your business.

Replication: How It Works

Storage-based replication is a unique approach to replicating data in multiple storage locations, in order to gather data and use it in cases of failure at your main data storage location. Data-driven organizations will more than likely store their data on a cloud or remote server, depending on their preferences. Data is necessary for the function of the business. When data is lost or mishandled, it can spell doom for the company that was affected. In order to prevent these losses, organizations are opting for replication of data strategies.

 

Typically speaking, storage-based replication involves the use of two storage devices that are either physically connected or through a storage area network (SAN). Additional software can also be utilized to copy the data from the source or at the primary data destination in real time. When the data is created, it is embedded in two storage locations, with help from dedicated software. In a SAN environment, the software will replicate the data from the main source of storage into the backup. In the event that you lose data, the information that is stored in your secondary storage facility will suffice in aiding your business operations.

Storage-Based Replication Vs. Host-Based Replication

There are a variety of replication techniques that are readily available on the market, but industry professionals prefer to use a few, specific types, as it works in their favor to do so. Two of the most commonly used techniques are host-based replication and storage-based replication. The only difference with host-based replication compared to storage-based is that host-based options connect the two sites to a server, while storage-based replication uses SAN to copy the data.

Vendors For storage-based Replication

In terms of choice, there are a few options for selecting vendors for storage-based replication services. Some of these include: Dell EMC, Oracle Sun Cluster, and Microsoft Windows Server, to name a few.

Incentives Of Using Data Replication For Your Business

By having this data available through data centers and hosts, the process of data replication will facilitate the sharing of this information across a variety of systems and will distribute the load onto many multisite systems. The benefits that come when using data replication for your business are unmatched. Take a look at what you can expect from its implementation:

 

  • Availability and Reliability: Should one system crash due to imperfect hardware, malware attacks, or other issues, the data can be recovered from another site.
  • Increase In Network Performance: Compiling the same data in a host of locations can lower data access latency. The required data can be collected, closer to where the transaction was initiated.
  • Augmented Support For Data Analytics: Copying data to a data warehouse which empowers the distribution of analytics teams to work on well-known projects for business intelligence.
  • Enhanced Performance For Test Systems: The process of replication will spearhead the distribution and synchronization of data for systems that demand faster access to data.

The Intricacies Of Data Replication

While replication is beneficial, organizations need to be fully aware of the pros and cons. Many of the challenges that come when managing data are because there aren’t many resources to work with. Money, time, and having the bandwidth can be hurdles for organizations and like mos processes, require a lot of time and patience. If you’re able to overcome these challenges, then this will make for an easier time in managing your assets.

Methods Of Data Replication

There are 3 basic methods for data replication and they are as follows:

 

  • Log-Based Incremental Replication: With this method, replication will only apply to database sources. During this process, data is replicated based on information embedded in the database log file and it will also indicate changes in the database. Of the 3 methods, this one is the most effective. It works best when the source structure of the database is stable. When columns are added, removed, or the type of data is changed, the configuration of the system needs to be updated in order to reflect these changes. This process will require a lot of time to execute. If this is the case, full table or key-based might be better choices.
  • Key-based Incremental Replication: Also known as key-based incremental loading, this method will only update if anything changed from the previous update. Fewer rows of data are copied during every update, making key-based replication a more effective choice than full table replication. One limitation of this approach is its inability to copy hard-deleted data, due to the key value being erased when records are taken out.
  • Full Table Replication: Full Table Replication will port over everything from the source material, to the destination which will include current and new data. A great method to show if records have been deleted from the source. The drawbacks of this proces include the need for more processing power, larger network loads, and a price increase if more rows are copied.

Schemes of Data Replication

Businesses can leverage data replication by adhering to a specific scheme to move the data. Instead of functioning like an operational maneuver, schemes dictate the ways that data is replicated and how it can serve the business that needs it.

 

  • Partial Replication: During this method, the data within the database is broken up into sections, with each stored in various locations, based on the level of importance for the locations. This method of replication is useful for mobilized workforces such as financial planners and sales people. These workers are able to carry partial databases on their mobile devices and laptops, they can also synchronize them with a main server.
  • Full Database Replication: The replication of a full database is when an entire database is replicated to use from many hosts. In doing so, it provides a high level of data availability and redundancy. Organizations that are international can get the same data as their counterparts in the US.

The Process Of Data Replication

The incentives of data replication are useful if there’s a copy of the data on all of your systems. The steps for data replication will ensure that the execution and delivery are consistent:

 

  • Analyzing the destination and data source
  • Choosing tables and columns from the source, that will be copied
  • Assessing the frequency of updates
  • Coming to terms with a method for replication
  • Both identify replication keys and key-based replication, which trigger records that are part of the process of replication.
  • Creating custom code or using a tool to monitor the replication process
  • Overseeing the extraction and loading processes for maintaining quality control

Simplifying Your Process Of Data Replication

Here at RHYNO Networks, we are committed to providing you with ample solutions for your needs of cloud replication.