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@hamzmu shared a link, 8 hours ago
Fellow, Rootly

Using Graphify to turn Incident Data into a Knowledge Graph

Karpathy said we should build LLM knowledge bases. 48 hours later made Graphify was made: one command, full semantic knowledge graph.

We applied the idea to incident data turning them into a queryable and interactable semantic graph. This lets us see past fixes, predict failures, cluster services, cut alert noise, and reveal team load in seconds.

If you’re using Rootly, here is a small plugin to explore your incident data.

Check it out: github.com/Rootly-AI-Labs/rootly-graphify-importer

Interactive knowledge graph visualization of incident management data showing clustered services, alerts, and responders with connected nodes and relationships in Graphify
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@laura_garcia shared a post, 9 hours ago
Software Developer, RELIANOID

Strengthen Your MFA with Google Authenticator and RELIANOID

🔐 Strengthen Your MFA with Google Authenticator and RELIANOID At RELIANOID, we take authentication seriously. We've just published a new technical guide on how to integrate Google Authenticator into the RELIANOID MFA Portal, using Active Directory or LDAP to manage user secrets. ✅ Understand TOTP vs..

2FA with AD_LDAP and Google Authenticator
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@roock started using tool Terraform , 3 days, 2 hours ago.
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@roock started using tool Python , 3 days, 2 hours ago.
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@roock started using tool Puppet , 3 days, 2 hours ago.
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@roock started using tool GitLab CI/CD , 3 days, 2 hours ago.
AsciiDoc is a lightweight, human-readable markup language designed for writing technical documentation, books, articles, and manuals. It supports rich structural elements such as sections, tables, callouts, cross-references, diagrams, and conditional content, while remaining easy to edit in plain text. AsciiDoc is commonly used in documentation pipelines where content is transformed into formats like HTML, PDF, or man pages using processors such as Asciidoctor, fitting squarely in technical documentation and publishing workflows.