WHAT ARE THE CHALLENGES IN MULTI-CLOUD DATABASE MANAGEMENT?
Databases are always stateful, and they have evolved naturally in businesses. When shifting to the cloud, businesses confront a variety of issues. Some of the most typical database migration issues are:
- Migrating huge volume of data to the cloud
- Migrating ETL/Reporting tools to the cloud
- Database change management in the cloud
- HA/DR setup
- Security and privileged access management
- Audit and compliance
The switch from on-premises data centers to cloud storage solutions presents new challenges. While some of the challenges are connected to data security, privacy, and compliance concerns, others are related to changes in the availability and performance of their applications, and sometimes others are related to data migration when moving to the cloud.
CHOOSING THE RIGHT SOLUTION
Oracle, Sybase, MYSQL, PostgreSQL, and MSSQL are some of the most prevalent database systems used today. However, when it comes to the cloud, there are more alternatives, such as support for multiple databases. The first factor to consider is price. Because everything in the cloud is charged hourly, users are enticed to believe they would save money in the long term. Unfortunately, this can only sometimes be the case. The fundamental issue is that most on-premises solutions have captive infrastructure that depreciates over time and has a set price point. When migrating to the cloud, we typically pay hourly and carry databases of 100s of gigabytes or terabytes, which may be pretty expensive to migrate to the cloud and manage there.
There are several approaches to bringing flexibility to your applications and databases using the cloud. However, each one needs some preparation and some restructuring at the application level, depending on the application’s relationship with the database.
WHAT ARE THE COST BENEFITS OF USING CONTAINERIZED IMAGES FOR DATABASES?
Containers and Kubernetes offer enormous cost-cutting potential, which many businesses recognize. Containers, particularly in databases, have the potential to significantly reduce infrastructure costs since they are lighter than VMs and may share a single operating system. If your databases are deployed using containers, there is a good possibility of cost savings. Containers also provide quicker CI/CD pipeline delivery, greater collaboration between development and engineering teams, and lower maintenance expenses. With the addition of Kubernetes, organizations may save even more money through autoscaling, intelligent resource management, and efficient application scheduling. Containerized apps and container orchestration for databases may help businesses save money and better use their development, operations, and support teams.
TOP THREE THINGS TO KEEP IN MIND TO SECURE A DATABASE IN THE CLOUD
Here are some factors to consider while safeguarding a cloud database:
- Ensure that the database is not directly accessible from the internet.
- Don’t try to save your database secrets in the GitHub repository.
- Build a process that logs any change apart from the application because applications mostly interact with data, Whether you manage a database containerized or like a managed database service, any change that happens on the database has to be logged and is made visible for audit purposes.
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About The Author
Rejith Krishnan is the co-founder and CEO of CloudControl, a startup that provides SRE-as-a-Service. He’s also a thought leader and Kubernetes evangelist who loves to code in Python. When he’s not working or spending time with his two boys, Rejith enjoys hiking in the New England outdoors, biking, kayaking, and playing tennis.