Managed database services are much the same across cloud service providers Additionally, choosing from one cloud service provider could lead to vendor lock-in, in which the ability to migrate your database from one cloud environment to another is either not possible or very difficult.
However, fully managed databases can be more expensive and don’t provide as much control in terms of database configuration or where the data is located. This is a huge lift off the customer’s shoulders in terms of management overhead and workload, which enables teams to focus on higher-value-added tasks and projects. With fully managed databases as a service, the cloud service provider takes care of configuring, managing, scaling, and backing up your databases. We recommend checking out this helpful article from Google with key considerations before getting started with databases on Kubernetes. In addition, due to the added abstractions that come with containerization, running databases on Kubernetes can increase the complexity of your network configuration and other administrative tasks around backups, security, scaling, tuning, etc.įor testing and development environments, containers can be a good option for running your databases, but for production environments with strict performance requirements, you might want to consider alternatives. However, it’s important to keep in mind the ephemeral nature of containers, so if you decide to go this route, the possibility of database application restarts or failovers is higher. Running a database with containers-and most commonly, with Kubernetes-provides some added benefits in terms of the automation provided to keep the database running, as well as the portability to migrate databases across cloud and on-premises environments.
Running databases with containers/Kubernetes However, it also entails a lot of work, and usually requires dedicated resources to do properly. This can provide a lot of flexibility and control, and is generally a less expensive option. Running self-managed databases on virtual machines is where the user is completely responsible for building, scaling, securing, and managing the database. Self-managed databases with virtual machines Different options for running and managing your databasesīefore diving into a comparison of cloud providers’ managed service offerings, let’s briefly outline the different options for running and managing your databases and why you might choose one over another. In this article, we’ll break down the managed database services offered by the leading cloud service providers, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), along with key considerations for what might be best for your business.
For many organizations, the costs associated with DBaaS are more than justified, as their teams can focus on building more profitable applications instead of keeping up with database infrastructure. These managed database services, also known as databases as a service (DBaaS), eliminate the need to worry about manually building, configuring, managing, or backing up databases. Consequently, many rely on cloud service providers’ managed database services, whether in the public cloud or a hybrid cloud environment. Most businesses don’t have the resources to configure, manage, back-up, and scale databases, or don’t want to allocate what resources they have to database tasks. Although there are advantages to self-managing VM-based databases in the cloud or running databases with containers/Kubernetes, these advantages often come with the trade-off of high management overhead. Businesses today rely on secure, reliable data storage to host and operate their applications.
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