Ciara details how and when to generate an SBoM with the help of open-source tooling. Learn how to host SBoMs, as well as other SBoM considerations.
The first continuous integration (CI) tools were all self-hosted, meaning they ran on a developer’s local computer or server. Although this setup was viewed favorably by dev teams at the time, it has limited flexibility, and developers had to spend time maintaining the infrastructure.
Continuous integration (CI) / continuous delivery (CD) is a model that allows software development teams to automate the integration and delivery of code changes in a more frequent and reliable manner. This gives development teams more time to improve the quality of their code, test with greater depth, and leads to more customer deployments overall.
This post is the third in a series of deeper dive articles discussing DORA metrics. In previous articles, we looked at: The third metric we’ll examine, Change Failure Rate, is a lagging indicator that helps teams and organizations understand the quality of software that has been shipped, providing guidance on what the team can do to improve in the future.
Kubernetes offers a way to store configuration files and manage them via a ConfigMap. Functionally, they seem very similar to Kubernetes Secrets, where both constructs are used to store information that can be used in a Pod. This information could be usernames and passwords of a connection string to a database.
Imagine you want to build and deploy a Nuxt3 app on Netlify. Because custom scripts are not allowed on Netlify, you will not be able to perform custom tasks like automated testing before deploying the website to your Jamstack hosting platform. That is where continuous integration/continuous deployment comes in. With a CI/CD system, you can run the kind of automated tests that create successful deployments.
As shortages of consumer goods and rising prices caused by bottlenecks in international supply networks have become more common, the global supply chain and its vulnerabilities have been top of mind for many. For developers, several high-profile software security exploits have recently underscored the risks inherent in a similar type of supplier network: the software supply chain.