![]() ![]() ![]() Since so many of us are staying at home right now, I suspect that many of you are using some type of online retailer to purchase groceries and everyday home items. Magento running on Azure Database for MySQL Caption : Magento with Azure Database for MySQL In these solution templates for the Azure open source database services, our Azure and Bitnami engineering teams have worked together to incorporate all the best practices for performance, scale, and security-to make the Bitnami templates ready for you to consume, with no additional integration work necessary. The Bitnami Community Catalog on the Azure Marketplace give you certified applications that are always up-to-date, highly secure, and built to work right out of the box. The current collection of Bitnami production-ready templates on the Azure marketplace are for these applications. Invent with purpose on Azure with Bitnami templates ! Bitnami templates available with PostgreSQL on Azure Marketplace Bitnami packages the templates following industry standards-and continuously monitors all components and libraries for vulnerabilities and application updates. #Bitnami mean mysql softwareMore importantly, these Bitnami templates make it easy for you to manage the complexity of modern software deployments.Īnd when we say the Bitnami templates make it easy, we mean easy: these templates for our Azure open source databases give you a one-click solution to deploy your applications for production workloads. You can also find Bitnami templates using Azure Database for PostgreSQL. In this blog post you can learn about the Bitnami Certified Apps (what many of us call “templates”) for our Azure Database for MySQL and Azure Database for MariaDB services are available on the Azure Marketplace and are production-ready. Today I am happy to announce an expansion of our longstanding partnership with Bitnami (now part of VMware) to deliver a collection of production-ready templates on the Azure marketplace for our open source database services-namely, MySQL, MariaDB, and Postgres. ![]()
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