Operations | Monitoring | ITSM | DevOps | Cloud

There’s a big difference between the MySQL database powering your internet of things (IoT) lightbulb and the one powering your website. There’s a chasm between the SQL Server Express database in your lightly used application’s VM and the monster multi-region SQL cluster you have running on Microsoft Azure. This kind of database diversity is everywhere today. But what are the differences between these databases, and how can administrators justify database spend?

Virtual machines (VM) offer great flexibility for hosting web applications. A developer/engineer is able to configure and control every piece of software and every setting that the application needs to run. Azure, one of the largest cloud hosting platforms, has virtual machine offerings for both Linux and Windows-based operating systems. In this tutorial, you will learn how to set up a continuous deployment pipeline to deploy a Node.js application to an Azure virtual machine.

This blog is the first in a four-part series on infrastructure automation for government agencies that are modernizing digital systems while grappling with budget and staffing constraints and the challenges of COVID-19. The last 12 months have been a turning point for many government agencies. The COVID-19 pandemic has accelerated the drive towards modernization and, with it, the need to ensure security and compliance requirements across a host of legacy systems and processes.

At Redgate, we strongly believe that all databases should be managed and orchestrated in the same way, with the same standards of security and quality in releases. For the past few years, we’ve been leading the adoption of database DevOps by focusing on the most challenging parts of the process like version control, continuous integration and making deployments consistent, predictable and repeatable.

Template variables enable you to use tags to filter your Datadog dashboards to the hosts, containers, or services you need for faster troubleshooting. However, there are some cases where it may be difficult to use a standard set of template variables to aggregate all of the data you need without creating a complicated, difficult to manage set of variables. For example, you may use tag values that are a subset of another tag.

As we look to improve the quality and capabilities of the JFrog DevOps Platform, especially in the world of DevSecOps, we have added powerful new features to further enhance the award-winning JFrog Xray. The capabilities detailed below cement Xray’s position as a universal software composition analysis (SCA) solution trusted by developers and DevSecOps teams globally to quickly and continuously identify open source software vulnerabilities and license compliance violations.