Fixing Drasi's 'unusable' Azure AI Search backend: a root cause chase through Kubernetes and Let's Encrypt
Read OriginalThis article details a debugging journey where the author encounters a crash-loop in Drasi's SyncVectorStore reaction against Azure AI Search. The error message suggests underscores are forbidden in index names, but the author proves via source code analysis and live REST tests that the real constraint is that names must start with a letter or digit. The fix involves building network infrastructure to work around the issue, highlighting Kubernetes and Let's Encrypt in the process. It's a practical guide for developers facing similar Azure AI Search naming restrictions.
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