Analyze and remediate technical debt autonomously with AWS Transform – continuous modernization

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Introduction In a recent post, my colleague Micah Walter introduced AWS Transform – continuous modernization in public preview. Today, this capability is generally available in regions supported for AWS Transform . Development velocity continues to increase. But velocity without maintenance accumulates technical debt at speed. The faster software scales, the faster technical debt compounds. At the same time, more sophisticated exploits and attack vectors are emerging – and the risk is increasing (Figure 1). For organizations, this makes staying on top of tech debt and maintaining a strong security posture across an increasing sphere of responsibility not only important, but business-critical.

Figure 1: Changing landscape of software maintenance To contend with compounding technical debt, engineering organizations have typically stitched together point tools, spent app-by-app cycles wasting engineering capacity, and relied on self-reports for status that lags reality and hides regressions. This is the problem continuous modernization capability was built to solve: shift code transformation from a periodic project into an automated, always-on practice. Rather than scheduling modernization sprints or relying on manual audits, your repositories are analyzed on demand or on a recurring schedule, with findings prioritized by severity and impact, and validated pull requests are generated autonomously to resolve them. In this post, I’ll recap the preview launch and then I’ll walk you through additional capabilities we’ve added since. I’ll also show how you can use it …

Vollständiger Originalartikel ↗

• Betroffenheit im eigenen Stack prüfen: Versionen/Komponenten abgleichen.
• Originalquelle / Hersteller-Advisory lesen: https://aws.amazon.com/blogs/devops/analyze-and-remediate-technical-debt-autonomously-with-aws-transform-continuous-modernization/
• Verfügbaren Patch oder Workaround einspielen und dokumentieren.