If your company uses Slack and is looking for ways to easily monitor activities in its AWS Golden AMI Pipeline, you can use AWS native services to send messages into a Slack channel. This can give your teams better visibility into the approval process for the candidate AMIs that they submit, as opposed to handling this via email. As we all know, email messages can get lost, overlooked or dumped in spam folders, which doesn’t happen with Slack messages. Moreover, Slack channels can have multiple subscribers so a single message can be seen by multiple people or other bots. Handling approval requests within a Slack channel also simplifies the management of the process.

Read on for a detailed, step-by-step explanation.

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Today we’re starting a blog series focused on how to integrate Qualys solutions into DevSecOps for securing cloud infrastructures. In this initial post, we’ll discuss the importance of assessing vulnerabilities and misconfigurations on AWS pipelines.

When developing golden Amazon Machine Images (AMIs), DevOps teams should run continuous and automated checks to eliminate vulnerabilities and misconfigurations in them. It’s a critical security and compliance practice that Qualys recommends its customers adopt. 

To that end, Qualys partnered with Amazon to integrate the AWS Golden Amazon Machine Image Pipeline reference architecture with Qualys scanners for vulnerability and configuration compliance assessment.

The result: Qualys has just published a GitHub repository and documentation for implementing Qualys scanning of instances in a golden AMI pipeline. This will help customers detect and fix critical vulnerabilities and compliance issues in the image creation pipeline, before they reach production environments.

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