Low-friction integration with AWS DynamoDB via Clojure is possible! This session will provide observations on the way these technologies fit well together. I’ll talk about why this is low friction- specifically the tradeoffs in data qua data vs object-oriented models, and that faced with a similar problem a similar technical solution might be a good fit.
The intended audience is one with basic programming familiarity; the point is to appreciate the shape and fit of the technologies, to appreciate that a working solution works, and why it works, and what features make more or less friction in the integration.
API enabling your DNS server will let you do awesome things! See why having API access to DNS for all necessary parties enables automation on a level we’ve only previously dreamed about. We were manually doing certificate renewal for 1800+ certs, but after implementing Infoblox API + AWS Cert Manager + Wiscweb we have 1800+ Automatically renewed SSL Certificates FTW. And this pattern can be used by anyone! This session is perfect for people who have or host websites, or run DNS servers.
Get an update on the Interop Initiative including new infrastructure services and capabilities, and plans for the coming year. Learn about the new tools and approaches that are coming online, and how they impact data access and integration.
Azure Devops provides a platform for executing IaC pipelines. We will explore using GitOps to automatically trigger terraform build pipelines in dev, staging, and production environments. We will also explore the automation of Azure Image creation and the automation of vm patching. Learn how to automatically take infrastructure as code from a development environment to staging and production environments through Azure DevOps Pipelines and GitOps. This session is perfect for people in DevOps who are interested in automating their IaC development and deployment cycles.
This session will provide a technical look at UW-Madison’s new institutional data warehouse using the platform Snowflake, branded Badger Analytics, hosted by the ETL developers within the Office of Data Management and Analytics Services who were integral to bringing Badger Analytics to life. They will share the story of the modernization of the environment, the project’s progress to date, the architecture, benefits, and how the modernization has revolutionized the work they do and freed up capacity through speed and automation. This practical session, by technical professionals for technical professionals, will provide details about the technologies and how they have been leveraged to provide value and unlock previously unimagined capabilities. Learn about the potential to leverage this modernization for the benefit of other units and divisions within the UW-Madison community.
This session builds on last year’s presentation by Cathy Lloyd, chief data officer, about cloud data warehousing for UW-Madison’s institutional data and the overall analytics strategy.
This presentation discusses the Qualys Container Security scanner GitLab integration. DevOps is quickly changing the way that organizations build and deploy web applications such as Docker containers. With container technology, build workflow needs rapid release cycles and continuous deployment. By integrating automated security testing into the development tool chain workflows, developers can identify security issues associated with containers early in their build process. We will discuss the scripts and source code for tools to provide access to the Qualys container vulnerability scanning system through GitLab CI/CD jobs. This integration into a GitLab project allows developers to trigger a Docker container image scan pipeline on the image of their choosing. Any vulnerabilities found will be posted as a GitLab issue in the project from which it is executed. This integration uses a pre-configured VM for the GitLab runner that obtains access to what it needs via AWS IAM roles. This allows any developer with a project on the same GitLab instance to incorporate the Qualys scanner job by including a GitLab CI/CD template in their own gitlab-ci.yml file without having to set up access to the Qualys API for themselves. At the end of the presentation, participants will be able to learn about the architecture, scripts and source code, sample reports as well as setup instruction documentation and on-going improvements.
The architecture, scripts and source code, sample reports as well as benefit of container scanning, setup instruction documentation, and on-going improvements.