Cloud computing has become increasingly important for many companies in the last few years. However, there are always challenges when moving data between environments. Organizations adopting cloud technologies will only increase the need for effective database migration strategies. In 2023, there are several trends that we expect to see in database migration to AWS:
Increased use of automation
As more organizations move to the cloud, they are looking for ways to automate their database management processes. This includes automating tasks such as provisioning and de-provisioning databases, monitoring performance and availability, and managing backups.
Greater focus on data security
As more and more companies move their workloads into public clouds such as AWS or Microsoft Azure, they're starting to realize that they must take security more seriously than ever before. After all, if you store sensitive data in the cloud, it's only a matter of time before someone steals it through hacking or insider threats.
More hybrid database deployments
Companies are increasingly deploying multiple deployment models in their production environments. This hybrid approach allows IT teams to leverage the best of both worlds without sacrificing availability or performance.
Improved data governance
Data governance is a key aspect of any database migration project. As large volumes of data are transferred from on-premises databases to the cloud, it is important to ensure that data quality is maintained. By using automated tools, businesses can ensure that data is migrated in a consistent manner across multiple databases and applications.
Increased use of cloud-based solutions
This might seem like a no-brainer, but it’s important to remember that not all databases are suitable for use in the cloud. This is especially true if they require high processing power levels or high availability features that aren’t available through public cloud providers like AWS or Azure.
Increased use of database-as-a-service (DBaaS) tools
Migrating databases from on-premises environments to AWS has always been challenging because it requires expertise in multiple disciplines. But today, companies use database-as-a-service (DBaaS) tools for migration projects. These tools help IT teams quickly move data from one place to another without having to write code or perform complicated tasks manually.
The most popular DBaaS tools include Amazon Relational Database Service (RDS), Amazon Elastic MapReduce (EMR), Amazon Redshift Spectrum, Amazon Aurora Serverless, and Amazon DynamoDB Streams.
Increased use of containers
Container technology is poised to revolutionize database migrations. It allows multiple processes to share a single operating system instance while retaining private resources, such as file systems and network connections. This will enable various databases to be migrated at once without affecting each other's performance or stability.
Greater focus on data quality
The quality of the migrated data is critical because it affects how well other systems can utilize it in your organization. Cloud migration tools can now perform extract, transform and load (ETL) functions to help ensure that any data migrated into the cloud is high quality.
Many vendors also offer tools that will monitor database performance after the migration so that you can identify any issues before they become serious problems.
Greater use of artificial intelligence
Artificial intelligence (AI) is becoming more common in database management software because it can automate many tasks that require human intervention today, such as detecting anomalies in user behavior patterns and generating recommendations based on those patterns. This gives IT administrators more time to focus on resolving problems instead of performing mundane tasks like monitoring servers or responding to alerts.
More open-source options
As the cloud-native movement grows, more companies are moving away from traditional database software and choosing open-source solutions. Many leading database vendors are now offering their software as open-source projects with support from community members.
The most popular open-source databases include MongoDB, Redis, and Elasticsearch. These products are gaining popularity because they're easy to install and use. They can also be deployed on various cloud platforms, including AWS.
In addition to these three popular choices, many other open-source databases are available on AWS Marketplace, including MariaDB and PostgreSQL.
Takeaway
By keeping these trends in mind, organizations can develop a successful database migration strategy to AWS in 2023 that meets their business needs and helps them take advantage of the benefits of the cloud. Want to learn more? Book a call with one of our experts!