SQL Server high availability and disaster recovery for AWS, Azure and GCP

There are two different types of server systems within the cloud interface that are used by businesses and internet based companies such as public and private cloud. The public cloud on a general note offers a multitude of options such as providing with high availability and disaster recovery related options for the SQL server management. Some of the options in fact are not that convenient or available at all within the public cloud systems. All these prerequisites such as provision of these many choices and at the same time these hauling limitations, there is quite a challenge that is faced by system and cloud administrators especially of those dealing with SQL interfaces.

For the most part of things the DevOps cloud computing has changed the way cloud intensive operations and systems work. Without the proper integration of the DevOps technology within the cloud systems a bright and error free future for the users working with cloud systems can’t simply be promised.

How cloud providers serve the customers?

These cloud service providers serve the customers in a variety of ways such as by providing their servers and cloud compute infrastructure for renting out to the IT based organizations. The renting out or the deployment of the applications is carried out by the help of SLAs or service level agreements. These agreements showcase the level of customizability that is going to be offered to the customers along with the uptime or scalability the dedicated customers are going to have to enjoy. With increase in the price or choosing a higher package the SLAs would change and so would the experience of the customers as well.

SLAs are nothing but dial tones within the cloud based systems which show that a particular segment of the cloud is in fact available to be used by the customers or the IT based organizations. These SLAs even exclude the natural disasters which could effect the downtime experienced by the customers while using the cloud computing services. Additional provisions and a customizable approach is needed to ensure that the SQL based servers would enjoy dedicated uptime in cloud intensive environments and also with the applications, software and tools incorporated by the business users over to the cloud systems.

High availability vs disaster recovery

Both of these terms are highly specific and mean a lot to the developers trying to manage, deploy and interpret various actions along the cloud computing nodes and how it would affect the uptime for the professionals as well. Even if the cloud vendor that you are using uses SQL programming to make sure that the best of in-service code and features are provisioned for the customers, there would always be downtimes due to disasters and failures. If you are a cloud user or even if you are a vendor you must know the difference between the both because only when the difference between these 2 terms is known can you begin to choose provisions that are going to be used for the ‘High availability’ and ‘disaster recovery’ protections.

While a failure can be the incompetence attitude of the management team dealing with proper safety and security of the cloud based systems. Such as a small tampering that may have caused the cooling systems of a particular data center go kaput or disruption of racks where technological assets are placed. Failures might also include the mistakes made intentionally or unintentionally over to the user’s end, failures are small in scale and short in duration.

Disasters on the other hand have more widened spade in which these occur and affect not only a fraction but rather a large proportion of technological elements thus leading to more down time. The disasters can affect multiple cloud systems and data centers at the same time and can have more enduring effects than failures on the user’s end as these can leave the systems completely redundant and out of order for unexplainable amount of time.

As you might have already experienced that in events of a breach or system failure the performance of the systems would be dearly affected relying heavily over the cloud computing. What can be done here is to replicate the data on which the user intensive applications of a particular organization rely and then store all of it in an offline facility. The preferred choice for this would be to store the data with the help of the LAN alignments, this way the data for all these important applications would be right at your fingertips even in case of a security event.   

Almost all of the 3 large cloud service providers such as Azure cloud, AWS and Google cloud systems rely heavily on the data that is being stored using the LAN systems. But this data can only be stored within a specified parameter of a particular data center and during the course of a disaster it can only provide services to the data center it is located near to. But if this LAN based approach is mixes with the WAN based approach then a lot of problems related to SQL based servers can be solved.

For example a particular data center suffered a disaster and is not operational but luckily all the data is backed up onto a different data center that uses the LAN based approach. Now how is that data to get to a data center that is divided by geographical distribution, here the services of WAN based systems come into play.

As all of the data that is stored onto the LAN based systems can be wirelessly accessed and delivered to the affected data center manning a wireless connection that is not only trusting but also would solve the problem of off board data transfer or migration. But dealing with it professionals need to make sure that all the transfers take place manually under the supervision of professionals so to ensure that no data is lost or corrupted during the procedure. Google cloud certification roadmap would better help you to understand the process of managing data on cloud and the development of a proper cloud based architecture.