Database schemas are often rigid structures the complexity of a data model grows as an application evolves, forcing engineering tradeoffs between speed or quality any time the schema changes – ultimately resulting in either increased risk of production application failures or reduced development velocity.įauna’s new declarative schema language enables a ‘Schema-as-Code’ approach which means that developers can fully automate changes within existing CI/CD workflows by applying IaC-like design patterns to schema. While the DevOps practices of automation, collaboration, and iterative development have streamlined development at the application and infrastructure layers, databases have historically been a bottleneck in these workflows. Combined, these features enable database development to match the pace of application development by incorporating database schema-level changes into broader CI/CD workflows – a crucial advancement for enterprise engineering teams tasked with building, scaling, and improving applications at every stage of development. The updates include the Fauna Schema Language (FSL), a modern command line interface (CLI), and GitHub and GitLab integrations. SAN MATEO, Calif.-(BUSINESS WIRE)-Fauna, the distributed document-relational database delivered as a cloud API, today announced a new declarative schema and a suite of DevOps tooling and integrations that brings the flexible principles of modern CI/CD deployments to its enterprise operational database.
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