VMware Cloud Foundation Technical VMware Data Services Manager

Database as Code with Data Services Manager and Terraform

In today’s fast-paced technological landscape, automation is crucial for achieving efficiency and scalability. To stay ahead of the curve, it’s essential to leverage tools like Data Services Manager (DSM) and Terraform, a popular infrastructure-as-code (IaC) tool. By integrating DSM with Terraform, organizations can unlock a wide range of benefits that drive business success.

Data Services Manager

DSM is a powerful tool that provides a centralized way to manage and provision data services across your on-premises environments. 

  • Automate the provisioning and management of data services DSM can automate the provisioning and configuration of databases, ensuring consistency and standardization across all environments. For instance, DSM can automatically create a new Postgres database with the required settings, such as database name, username, and password, and configure the necessary networking and security settings. This automation eliminates the need for manual intervention, reducing the risk of human error and freeing up IT resources for more strategic tasks.
  • Ensure consistency and standardization across their environment DSM can define policies that ensure all data services, including Postgres and other databases, are configured and managed in a compliant manner. For example, DSM can enforce specific Data Services Versions and access controls for all databases, ensuring that sensitive data is protected and compliant with regulatory requirements.
  • Simplifying Data Service Management DSM provides a unified view of all data services, enabling IT teams to quickly identify and troubleshoot issues. With DSM, IT teams can manage all data services from a single console, eliminating the need to navigate multiple tools and interfaces. This streamlined management capability enables IT teams to respond quickly to issues, reducing downtime and improving overall system availability.
  • Improving Data Service Governance DSM can define governance policies that ensure data services are provisioned and managed in a consistent and compliant manner. For instance, DSM can enforce quotas and limits on data service usage, ensuring that teams do not over-provision data services. Additionally, DSM can provide role-based access control, ensuring that only authorized teams and users can access and manage data services.
  • Enhancing Data Service Security DSM can automatically patch Data Services during a Maintenance window to ensure critical CVEs are patched, additionally DSM provide access controls with LDAPs integration to the Databases. For example, DSM can configure data services with access controls, ensuring that sensitive data is protected from unauthorized access. Additionally, DSM can provide auditing and reporting logs to help detect and respond to security incidents, such as data breaches or unauthorized access attempts.

The Benefits of Using DSM with Terraform

The benefits of using DSM with Terraform are numerous but foremost most of the customers decide for Terraform as de-facto Standard and by leveraging the official Kubernetes Provider, DSM perfectly integrates in this ecosystem very easily.

  • Increased Efficiency: Automate the provisioning and management of data services to reduce manual errors and increase efficiency and enforce specific settings.
  • Improved Consistency: Ensure consistency and standardization across the environment.
  • Cost Optimization: Optimize costs by automating the scaling and provisioning of data services, and by leveraging the official Kubernetes Provider to manage resources.
  • Enhanced Security and Compliance: Ensure the security and compliance of data services by using infrastructure policies to define the configuration and settings for the infrastructure.

Empowering Self-Service via Terraform

Self-service via Terraform refers to the ability of users to provision and manage their own infrastructure and applications using Terraform, without requiring manual intervention from IT administrators. This is achieved through the creation of pre-defined Terraform templates and modules that can be easily consumed by users. By providing governance and security by DSM, it makes it flexible and scalable, allowing organizations to easily manage and provision data services, while ensuring consistency, compliance, and control over their data assets.

The benefits of self-service:

  • Increased Agility: Users can quickly provision and deploy infrastructure and applications, without waiting for IT administrators to intervene.
  • Improved Productivity: Users can focus on their core tasks, rather than waiting for infrastructure and applications to be provisioned.
  • Reduced Errors: Pre-defined Terraform templates and modules reduce the risk of human error, ensuring that infrastructure and applications are provisioned consistently and correctly.
  • Simplified Day 2 Operations: Terraform provides a single pane of glass for managing infrastructure and applications, making it easy to perform day 2 operations such as scaling, updating, and troubleshooting.

Conclusion

In conclusion, the integration of Data Services Manager with Terraform provides a powerful solution for simplifying data service management. By leveraging Kubernetes and IaC, DSM provides a seamless and efficient way to manage your data services from start to end, making it an ideal solution for organizations looking to streamline their infrastructure management. If you want to get started here is a more in-depth sample and explanation.

A special thank you to Mohamed Taouri for his outstanding contributions!