Organizations are moving to the cloud at a rapid pace, and cloud databases are a great way to test the waters before a large-scale transition and optimize their cloud infrastructure into the future. Learn how to streamline migrations with a database load balancer.
In fact, according to IDG’s 2020 Cloud Computing Survey, by the end of 2021 it’s expected that 59% of organizations will be running most or all of their workloads in the cloud. This is a dramatic shift from just 38% today and suggests that cloud computing could surpass on-premise infrastructure in the near future.
For those enterprises considering a move to the cloud, migrating on-premise databases could be a great first
step before making sweeping changes across the organization. That said, there are several risk factors such as
downtime, data loss, and compromised transactions that businesses should look to minimize before attempting the shift to a cloud model.
There are a multitude of reasons why many organizations are shifting to cloud infrastructure. Here are some key drivers specific to cloud database adoption.
On-premise database infrastructure has always been complex to manage. A large team of database administrators (DBAs) would need to estimate computing needs far in advance and install servers to handle the workload. This usually required specific vendor expertise with the necessary hardware and software to get the servers running. In addition, with a limited number of servers, it’s also hard for DBAs to set up enough redundancy to deal with sudden traffic spikes or failovers.
Maintaining on-premise databases is challenging because it’s difficult to scale out the infrastructure when necessary. Moreover, scaling up on-premise infrastructure would require upgrading hardware that has a high upfront cost. That means on-premise databases can limit the data tier’s scalability and resilience, which directly impacts applications and their end-users.
Along with heavy upfront costs in IT staffing and hardware, on-premise data infrastructure often includes dedicated database servers that are underutilized and a waste of computing resources. By shifting to cloud computing, however, organizations can consolidate multiple applications and databases on a single cloud instance to average out usage and drive cost savings.
While on-premise infrastructure had previously been touted as more secure, over the past few years public cloud vendors have invested heavily in security. That means moving to the cloud and leveraging the expertise of cloud vendors could be safer than relying solely on the organization’s own cybersecurity investments.
Transitioning IT infrastructure to the cloud always presents some challenges, and database migrations are no exception. For one, databases often store business-critical information that organizations can’t afford to lose access to during the migration. Even a few minutes of downtime can drive users away and leave a lasting negative impact on the business.
Many organizations avoid downtime by running on-premise and cloud databases in parallel. That way, they can slowly transition functionality to the cloud. For example, they’ll migrate their old data to the cloud database and then start writing to both databases functionality. If there are no issues and both databases are in sync, they can later switch over read queries as well. The problem is that it’s complicated to partially roll over data functionality if organizations can’t efficiently route read and write traffic to specific databases.
Transitioning databases to the cloud and operating them efficiently afterwards doesn’t need to be difficult.
Using database load balancing, organizations can gradually transition to the cloud and manage their database
infrastructure without any downtime.
Once implemented, developers can point applications towards the database load balancer and interact with the data tier without knowing anything about the underlying database infrastructure. The application is completely decoupled from data, so DBAs can make changes to the database infrastructure without requiring code changes on the application side as well.
That means DBAs can gradually shift individual database nodes in the cluster to a new vendor or cloud provider without impacting application performance. There’s no need for planned downtime or massive migration events because the load balancer can gradually route traffic to certain databases based on predetermined criteria.
Every organization considering a transition to the cloud should opt for zero downtime. ScaleArc can not only ease the transition but also ensure organizations make the most of the cloud once they’ve made the move. Contact DevFactory to learn more about managing cloud databases with ScaleArc.
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