datasette-publish-fly 1.4
Release notes for datasette-publish-fly 1.4, a Datasette plugin for publishing data using Fly.io, with HTTPS and bug fixes.
Release notes for datasette-publish-fly 1.4, a Datasette plugin for publishing data using Fly.io, with HTTPS and bug fixes.
Release notes for github-to-sqlite 2.9.1, a tool that saves GitHub data into a SQLite database, with a fix for sqlite-utils 4.x compatibility.
Datasette 0.65.4 release: a security update for the open source data exploration and publishing tool.
Datasette 1.0a39 release announcement covering security fixes for the open source data exploration and publishing tool.
trynix.dev runs any Nix package from the past 13 years in a browser via qemu-wasm, enabling URL-addressable interactive shells and PR previews.
Enterprise RAG citation controls: separate citation existence from evidence quality, applicability, and disclosure permission.
How to enforce RAG retrieval permissions based on the user, not service accounts, to prevent unauthorized access.
Enterprise RAG security as a data boundary: source admission, processing controls, derived data governance, and lifecycle management for AI pipelines.
How to assess management-plane failures in hybrid infrastructure: what keeps running, what stops, and how to recover without vCenter, Azure, identity, or WAN.
Identity disaster recovery: restoring Active Directory, Entra, certificates, and privileged access before workloads return.
Treating Kubernetes as a platform product: SLOs, upgrade gates, capacity planning, and recovery for dependable services.
Learn how hybrid platform dependency mapping builds an incident-ready service map to explain what business services need to run, restart, and recover.
Shopify moves from React Native back to native Swift and Kotlin apps, citing AI agents as the reason the two-platform cost is no longer decisive.
Translating NSX segmentation policies into Azure and hybrid network controls for secure workload migration.
TL;DR Enterprise AI decommissioning should remove a service’s ability to accept work, access information, execute actions, or return through deploymen
tl;drImagine an AI assistant in your company that can write emails, check expense reports, and run CI pipeline steps — but it has every capability bak
TL;DR Production vector database operations must protect the retrieval service, not just the database files. Back up vectors, metadata, source lineage
TL;DR A migration-wave control room should authorize the next safe action, not simply report completed tasks. Build it around evidence-based gates, ex
TL;DR Infrastructure change evidence should establish what was approved, what existed before execution, what actually happened, and whether the result
TL;DR AI inference disaster recovery must restore an approved service, not merely a reachable model endpoint. That means recovering compatible model a