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Nik and Michael discuss the concept of gapless sequences — when you might want one, why sequences in Postgres can have gaps, and an idea or two if you do want them.And one quick clarification: changing the CACHE option in CREATE SEQUENCE can lead to even more gaps, the docs mention it explicitly. Here are some links to things they mentioned:CREATE SEQUENCE https://www.postgresql.org/docs/current/sql-createsequence.htmlSequence Manipulation Functions https://www.postgresql.org/docs/current/functions-sequence.htmlOne, Two, Skip a Few (post by Pete Hamilton from Incident io) https://incident.io/blog/one-two-skip-a-fewPostgres sequences can commit out-of-order (blog post by Anthony Accomazzo / Sequin) https://blog.sequinstream.com/postgres-sequences-can-commit-out-of-orderLogical Replication of sequences (hackers thread) https://www.postgresql.org/message-id/flat/CAA4eK1LC%2BKJiAkSrpE_NwvNdidw9F2os7GERUeSxSKv71gXysQ%40mail.gmail.comSynchronization of sequences to subscriber (patch entry in commitfest) https://commitfest.postgresql.org/patch/5111/Get or Create (episode with Haki Benita) https://postgres.fm/episodes/get-or-createGerman tank problem https://en.wikipedia.org/wiki/German_tank_problem~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
How can the new AI tools help DBAs? Richard chats with Grant Fritchey about his experiences using various types of LLMs to help with his work as a DBA. Grant discusses having an LLM open as a side window to pass questions by, such as ideas for tuning, query optimization, scripts, and so on. Not all LLMs are the same - it's worth experimenting with different tools! The conversation delves into the long-term picture of AI supporting the DBA role, enabling more work to be accomplished in less time. Some of the work that used to be complex or tedious has become easier, but the need for people to assess outcomes remains essential.LinksPostgreSQLPerplexityCopilot for SQL Server Management StudiodbverseGitHub Copilot in VS CodeRecorded September 29, 2025
En este episodio, me enfrento a un desafío de rendimiento real: el consumo de CPU de PostgreSQL se dispara, pero sin alta actividad de lectura/escritura.Viajaremos a través de un diagnóstico detallado utilizando herramientas nativas de Postgres como pg_stat_activity y pg_stat_statements para desenmascarar las causas ocultas:La Sobrecarga de Conexión: Descubriremos cómo un simple healthcheck de Docker (pg_isready) configurado incorrectamente puede paralizar tu servidor por el alto overhead de gestión de procesos.El Cuello de Botella de la Aplicación: Analizamos y corregimos un error de diseño de código en Rust/Axum donde se recompilan Expresiones Regulares (Regex) en cada petición, consumiendo innecesariamente ciclos de CPU.Una lección práctica esencial para cualquiera que gestione bases de datos, despliegues en Docker o desarrolle aplicaciones eficientes en Rust en entornos Linux. Aprende a identificar estos fallos y a optimizar tu código mediante la precompilación de Regex utilizando TryFrom y Arc.Más información y enlaces en las notas del episodio
For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinSummaryIn this conversation, Philipp discusses the innovations behind CedarDB, a database system designed from scratch to optimize performance for modern hardware. He explains the foundational principles of compiling SQL to machine code, the importance of parallel processing, and the challenges of maintaining Postgres compatibility. The discussion also covers the system's approach to handling transactional and analytical workloads, data ingestion processes, query optimization strategies, and future developments including schema evolution and disaggregated storage.Takeaways:- CedarDB is built from the ground up to utilize modern hardware effectively.- The system compiles SQL directly to machine code for performance.- Parallel processing is a key feature, allowing efficient use of multiple cores.- CedarDB aims to be Postgres compatible while innovating on performance.- Transactional workloads are handled efficiently without sacrificing analytical capabilities.- Data ingestion is optimized for both row-oriented and columnar formats.- The system uses optimistic concurrency control to manage write conflicts.- Query optimization leverages statistics to improve join performance.- Future developments include schema evolution and disaggregated storage.- CedarDB is designed to be flexible and adaptable for various workloads.Chapters00:00 Introduction to CDRDB and Background of Philipp05:36 Compiling SQL to Machine Code for Performance11:25 General Purpose vs. Analytical Databases16:51 Transactional Workloads and Hybrid Storage Engine54:29 Understanding B-Tree and Columnar Storage01:02:18 Data Duplication and Memory Efficiency01:08:43 Indexing Strategies and B-Tree Optimization01:15:57 Handling Write Conflicts and Transaction Management01:24:10 Query Optimization and Join Strategies01:33:28 Future Developments in Schema Evolution and StorageImportant Links:CedarDB: https://cedardb.com/The Umbra research project: https://umbra-db.com/SQL Query Compilation: http://www.vldb.org/pvldb/vol4/p539-neumann.pdfOptimistic B-Trees: https://cedardb.com/blog/optimistic_btrees/Our B-Tree storage engine: https://cedardb.com/blog/colibri/For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinDon't forget to like, share, and subscribe for more insights!=============================================================================Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator=============================================================================Database internals series: https://youtu.be/yV_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!
En este episodio de "atareao con Linux", abordamos una frustración común: la sobrecarga de complejidad en el mundo del blogging. Si has intentado usar WordPress y te has cansado de gestionar plugins, temas y vulnerabilidades, o si las soluciones de Static Site Generator (SSG) te parecen excesivas para simplemente publicar notas y código, Noet es la solución que has estado buscando.Noet es una plataforma de blogging de código abierto con una filosofía clara: priorizar la escritura. Su diseño se basa en quitar todo lo que se interpone entre tú y la publicación de tu contenido. Es, esencialmente, un editor de texto avanzado que guarda posts en una base de datos y los sirve como un sitio web limpio y legible.La verdadera magia de Noet reside en su simplicidad técnica, lo cual lo hace perfecto para nuestro entorno Linux (VPS, Raspberry Pi, o tu servidor local):Single Binary (Go): Todo el backend se compila en un único ejecutable (escrito en Go), lo que facilita enormemente el despliegue y el mantenimiento en cualquier plataforma Linux.SQLite para la Gestión de Datos: En lugar de depender de bases de datos externas como MySQL o PostgreSQL, Noet usa SQLite. Esto significa que todos tus posts y configuraciones se almacenan en un solo archivo, noet.db. Esta característica es fundamental para una gestión de datos eficiente y para realizar copias de seguridad de forma increíblemente sencilla.Despliegue con Docker: Fieles a nuestro estilo práctico, te mostramos el archivo docker-compose.yaml necesario para poner Noet en marcha en cuestión de minutos. Si ya usas Docker para servicios como Traefik, Syncthing o tus bases de datos [cite: 2025-07-15], añadir Noet a tu stack es trivial.Para el escritor técnico o el power user de Linux, Noet brilla en su editor:Soporte Markdown Nativo: Usa la sintaxis que ya conoces.Código y LaTeX: El editor soporta resaltado de sintaxis para bloques de código y permite incrustar ecuaciones matemáticas con LaTeX/KaTeX. Es ideal para documentar tus proyectos o publicar tutoriales avanzados.Auto-guardado: No pierdas ni una línea de lo que escribes.Sencillez en Imágenes: Arrastra y suelta para subir imágenes y gestiona su tamaño con un clic.Si buscas mejorar tu productividad, simplificar tu infraestructura y tener un blog que se sienta tan ligero y moderno como Neovim u Obsidian [cite: 2025-07-15] pero listo para publicar en la web, tienes que probar Noet.Escucha el episodio para obtener todos los comandos, el archivo docker-compose y los mejores consejos de uso.Más información y enlaces en las notas del episodio
Nik and Michael discuss lightweight locks in Postgres — how they differ to (heavier) locks, some occasions they can be troublesome, and some resources for working out what to do if you hit issues. Here are some links to things they mentioned:Wait Events of Type LWLock https://www.postgresql.org/docs/current/monitoring-stats.html#WAIT-EVENT-LWLOCK-TABLEOur episode on (heavier) locks https://postgres.fm/episodes/locksNik's new marathon posts https://postgres.ai/blog/tags/postgres-marathonPostgres LISTEN/NOTIFY does not scale (blog post by Recall ai) https://www.recall.ai/blog/postgres-listen-notify-does-not-scaleExplicit Locking https://www.postgresql.org/docs/current/explicit-locking.htmlpg_stat_activity https://www.postgresql.org/docs/current/monitoring-stats.html#MONITORING-PG-STAT-ACTIVITY-VIEWTuning with wait events for RDS for PostgreSQL https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/PostgreSQL.Tuning.htmlMultiXact member exhaustion incidents (blog post by Cosmo Wolfe / Metronome) https://metronome.com/blog/root-cause-analysis-postgresql-multixact-member-exhaustion-incidents-may-2025pg_index_pilot https://gitlab.com/postgres-ai/pg_index_pilotMyths and Truths about Synchronous Replication in PostgreSQL (talk by Alexander Kukushkin) https://www.youtube.com/watch?v=PFn9qRGzTMcPostgres Indexes, Partitioning and LWLock:LockManager Scalability (blog post by Jeremy Schneider) https://ardentperf.com /2024/03/03/postgres-indexes-partitioning-and-lwlocklockmanager-scalability~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
В этом выпуске: делимся уроками недели, представляем Claude Haiku 4.5 от Anthropic, обсуждаем OpenZL — фреймворк для сжатия с учетом формата от Meta, исправляем терминологические ошибки в работе, изучаем обновления в PostgreSQL, связанные с хуками и инклудами, обсуждаем инструмент «include-what-you-use» для анализа инклудов, а также знакомимся с Zed на Windows. [00:01:45] Чему мы научились за… Читать далее →
Most of you reading this work in technology, and I assume that you've had to learn something new on the job. Technology is constantly evolving, even on our existing platforms. On top of that, we are regularly given tasks that are outside of our current skill sets. Maybe not far outside, but to meet the changing demands of our jobs, we need to learn new things. I ran across an interesting post (on a new site) from Brent Ozar. I think that guy writes as much as me, but he wrote this one: Why I Started Using Postgres (And You Might Too). It's a little provocative, but there are good posts on the site about things Brent learned in PostgreSQL. I won't go into whether learning PostgreSQL is a good idea. Read the rest of The Journey to PostgreSQL (or anything)
"Accumuler de la dette, ce n'est pas une fatalité." Le D.E.V. de la semaine est Quentin de Metz, co-fondateur et CTO @ PennyLane. Quentin y évoque le défi du scale d'un monolithe logiciel en période de forte croissance. Il insiste sur l'importance d'une architecture cohérente grâce à Ruby on Rails et React, capable de soutenir les besoins de 500 000 entreprises avec une équipe de 250 développeurs. Les sujets abordés comprennent la maintenance de la qualité du code, le rôle des déploiements fréquents dans un contexte monolithique, et l'organisation des responsabilités en équipe. Les nouvelles technologies comme l'IA générative, bien que prometteuses, ont un impact limité sur leur activité. Quentin rappelle enfin l'importance de bien maîtriser la documentation de PostgreSQL pour l'évolutivité du projet.Chapitrages00:00:53 : Introduction au Monolithe00:26:54 : La Dette Technique et sa gestion00:49:29 : Équilibre entre Innovation et Stabilité00:52:18 : La Puissance de PostgreSQL00:53:44 : Conclusion et Remerciements Liens évoqués pendant l'émission PostgreSQL: DocumentationLaetitia Avrot sur IFTTD D'ailleurs, Pennylane recrute ! N'hésitez pas à jeter un coup d'oeil aux offres. **Restez compliant !** Cet épisode est soutenu par Vanta, la plateforme de Trust Management qui aide les entreprises à automatiser leur sécurité et leur conformité. Avec Vanta, se mettre en conformité avec des standards comme SOC 2, ISO 27001 ou HIPAA devient plus rapide, plus simple, et surtout durable. Plus de 10 000 entreprises dans le monde utilisent déjà Vanta pour transformer leurs obligations de sécurité en véritable moteur de croissance.
What do chess clocks, jazz, and Postgres replication have in common? In Episode 32 of Talking Postgres, solution architect Boriss Mejías shares how the idea of “interconnectedness”—inspired by Douglas Adams—can help you untangle complex Postgres questions. We explore OpenAI's approach to scaling Postgres, how Postgres active-active mirrors Sparta's dual kingship, and how a holistic approach can reveal the behavior of synchronous replication. Also: Beethoven's 17 drafts, and why chasing perfection can hold you back. Listen to learn more about Boriss, Postgres, and the fundamental interconnectedness of all things.Links mentioned in this episode:Podcast Ep32 of Talking Postgres: What went wrong (& what went right) with AIO with Andres FreundPodcast Ep03 of Talking Postgres: Why give talks at Postgres conferences with Álvaro Herrera & Boriss Mejías: Wikipedia: Dirk Gently's Holistic Detective Agency, by Douglas AdamsTalk at PGConf NYC 2025: Scaling Postgres to the Next Level at OpenAI, by Bohan ZhangVideo of PGConf.dev 2025 talk: Scaling Postgres to the Next Level at OpenAI, by Bohan ZhangTalk at PGConf NYC 2025: Improved Freezing in Postgres Vacuum: From Idea to Commit, by Melanie PlagemanTalk at PGConf NYC 2025: Database Modeling to Study the New York Jazz Scene, by Boriss MejíasJazz Club in NYC: Patrick's Place in HarlemVideo of PGConf EU 2024 talk: Sparta's Dual-Kingship and PostgreSQL Active-Active, by Boriss Mejías Video of POSETTE 2025 talk: Postgres Storytelling: Cunning Schema Design with Creative Data Modeling, by Boriss Mejías & Sarah Conway Talk at FOSDEM PGDay 2024: High Availability Configurations Are Very Common for PostgreSQL, But How Do You Investigate Performance Problems When the Standby Can't Keep Up? by Boriss Mejías and Derk van VeenConference: PGDay Lowlands 2025, the second year of this “second-best Postgres conference in Europe” Conference Schedule: upcoming PGConf EU 2025 in LatviaWikipedia: Chess clockBook: Daily Rituals, by Mason CurreyArticle: It Takes Two to Think, by Itai Yanai & Martin J. LercherPoem: The Rime of the Ancient Mariner, by Samuel ColeridgeWikipedia: City of Bruges Belgium, a good place for beer and cheeseCal invite: LIVE recording of Ep33 of Talking Postgres to happen on Wed Nov 5, 2025
Les références : Fin du support gratuit de Windows 10 Adieu Windows, bonjour le Libre ! Fin de Windows 10 : la solution viendra-t-elle du libre ? Journées nationales de la réparation Logiciel libre : la Démarche NIRD, pour un numérique inclusif dans les établissements scolaires Retour d'expérience logiciels libres au lycée Carnot Le passage de Windows 10 à Windows 11 est « un scandale environnemental », doublé d'une facture salée « indue » Libre à vous ! du 9 septembre 2025 Migrer de Windows vers un système libre sur le poste de travail Les 15 ans de LibreOffice LibreOffice turns 15 : a celebration of freedom, collaboration and open technologies and standards Tout ça ne nous rajeunit pas, LibreOffice a 15 ans Une plongée dans les coulisses administratives de The Document Foundation Apertus, l'IA suisse La Suisse lance son ChatGPT national open source, Apertus, avec de très belles promesses Les Assises Francophones de l'Art Libre https://ch.pvh-editions.com/assises-fr-article%20-libre Rencontres Hivernales du Libre 2026 ! Chat Control Chat Control : on fait le point Demandez à l'UE de ne pas compromettre le chiffrement avec « Chat Control » Let's stop the Chat Control together Les data centers en Île-de-France Les data centers pourraient empêcher l'Europe d'atteindre ses objectifs climatiques Petites et grosses combines autour d'un centre de supercalculateurs dans l'Essonne Numériser les usages ! Notre contrepoint au Shift Les attaques contre F-Droid F-Droid Android change les règles : cette boutique concurrente de Play Store est menacée de disparition "Android ne sera plus jamais le même" : comment Google va anéantir les applications et stores alternatifs Litige entre ayants-droit et Archive.org Internet Archive règle en silence son procès avec les majors musicaux De l'IA pour le projet Panoramax, reconnaissance de panneaux (lié à OpenStreetMap) Vu dans Firefox : création de site web par IA : Launch your business with a free website Postgresql 18Vous pouvez mettre un commentaire pour l'épisode. Et même mettre une note sur 5 étoiles si vous le souhaitez. Et même mettre une note sur 5 étoiles si vous le souhaitez. Il est important pour nous d'avoir vos retours car, contrairement par exemple à une conférence, nous n'avons pas un public en face de nous qui peut réagir. Pour mettre un commentaire ou une note, rendez-vous sur la page dédiée à l'épisode.Aidez-nous à mieux vous connaître et améliorer l'émission en répondant à notre questionnaire (en cinq minutes). Vos réponses à ce questionnaire sont très précieuses pour nous. De votre côté, ce questionnaire est une occasion de nous faire des retours. Pour connaître les nouvelles concernant l'émission (annonce des podcasts, des émissions à venir, ainsi que des bonus et des annonces en avant-première) inscrivez-vous à la lettre d'actus.
Parce que… c'est l'épisode 0x640! Shameless plug 12 au 17 octobre 2025 - Objective by the sea v8 14 et 15 octobre 2025 - ATT&CKcon 6.0 14 et 15 octobre 2025 - Forum inCyber Canada Code rabais de 30% - CA25KDUX92 4 et 5 novembre 2025 - FAIRCON 2025 8 et 9 novembre 2025 - DEATHcon 17 au 20 novembre 2025 - European Cyber Week 25 et 26 février 2026 - SéQCure 2026 Description Introduction et parcours professionnel Mathieu Saulnier, connu sous le pseudonyme “Scooby” dans la communauté de cybersécurité, possède une vingtaine d'années d'expérience dans le domaine. Son parcours l'a mené d'un grand fournisseur internet et de télécommunications vers la gestion d'un SOC (Security Operations Center), puis vers des rôles de recherche sur les menaces pour des vendeurs de SIEM et d'EDR. Aujourd'hui, il occupe le poste de product manager pour BloodHound Community Edition chez SpecterOps, une position qu'il a obtenue grâce à ses nombreuses présentations sur BloodHound au fil des années. BloodHound version 8 et la révolution OpenGraph La version 8 de BloodHound représente une évolution majeure de l'outil. La fonctionnalité phare est OpenGraph, qui permet d'ingérer n'importe quel type de données dans le graphe et de créer ses propres chemins d'attaque pour différentes technologies. Historiquement, BloodHound se concentrait exclusivement sur Active Directory et Azure/Entra ID, mais cette limitation appartient désormais au passé. Avec le lancement d'OpenGraph, SpecterOps a publié plusieurs nouveaux collecteurs pour diverses technologies : One Password, Snowflake, et Jamf (pour la gestion des postes de travail Mac). La communauté a réagi avec enthousiasme, puisqu'en seulement 48 heures après l'annonce, un contributeur externe a créé un collecteur pour Ansible. Plus récemment, un collecteur pour VMware vCenter et ESXi a également vu le jour, démontrant l'adoption rapide de cette nouvelle capacité. La distinction fondamentale : access path versus attack path Mathieu utilise une analogie éclairante avec Google Maps pour expliquer la différence entre un chemin d'accès et un chemin d'attaque. Google Maps montre les chemins autorisés selon différents modes de transport (voiture, vélo, transport en commun), chacun ayant ses propres règles et restrictions. C'est l'équivalent d'un graphe d'accès qui indique où on a le droit d'aller. Un chemin d'attaque, en revanche, représente la perspective d'un adversaire qui ne se préoccupe pas des règlements. L'exemple donné est celui d'une voiture roulant sur une piste cyclable à Montréal : c'est interdit, on sait qu'on risque une contravention, mais c'est techniquement possible. Dans le monde numérique, les conséquences sont souvent moins immédiates et moins visibles, ce qui explique pourquoi les attaquants exploitent régulièrement ces chemins non conventionnels. L'évolution du modèle de données BloodHound a commencé modestement avec seulement trois types d'objets (utilisateurs, groupes et ordinateurs) et trois types de relations (member of, admin et session). Depuis, le modèle s'est considérablement enrichi grâce aux recherches menées par SpecterOps et d'autres organisations. Des propriétés comme le Kerberoasting ont été ajoutées, permettant d'identifier les objets vulnérables à ce type d'attaque et d'élever ses privilèges. La vraie puissance d'OpenGraph réside dans la capacité de relier différents systèmes entre eux. Par exemple, si un attaquant compromet le poste d'un utilisateur ayant accès à un dépôt GitHub, il peut voler les tokens et sessions pour effectuer des commits au nom de cet utilisateur, potentiellement dans une bibliothèque largement utilisée, ouvrant ainsi la voie à une attaque de la chaîne d'approvisionnement (supply chain attack). Cette interconnexion multi-dimensionnelle des systèmes était difficile à visualiser mentalement, mais le graphe la rend évidente. Créer des collecteurs OpenGraph : exigences et bonnes pratiques Pour qu'un collecteur soit accepté dans la liste officielle des projets communautaires, certains standards doivent être respectés. Il faut créer le connecteur avec une documentation détaillant les permissions minimales nécessaires (principe du moindre privilège), expliquer son fonctionnement, les systèmes d'exploitation supportés, et les dépendances requises. La documentation devrait également inclure des références sur comment exploiter ou défendre contre les vulnérabilités identifiées. Bien que non obligatoires, des éléments visuels personnalisés (icônes et couleurs) sont fortement recommandés pour assurer une cohérence visuelle dans la communauté. Le projet étant open source, les utilisateurs peuvent toujours modifier ces éléments selon leurs préférences. Un aspect crucial est la fourniture de requêtes Cypher pré-construites. Sans ces requêtes, un utilisateur qui ne connaît pas Cypher pourrait importer toutes les données mais se retrouver bloqué pour les exploiter efficacement. Le langage Cypher et l'accès aux données BloodHound fonctionne sur une base de données graphique, historiquement Neo4j, mais maintenant également PostgreSQL grâce à un module de conversion. Le langage de requête utilisé est Cypher, qui possède une syntaxe particulière. Pour rendre l'outil plus accessible, SpecterOps maintient une bibliothèque Cypher contenant de nombreuses requêtes créées par l'équipe et la communauté. Ces requêtes peuvent être exécutées directement depuis le portail BloodHound. L'entreprise explore également l'utilisation de LLM (Large Language Models) pour générer des requêtes Cypher automatiquement, bien que le corpus public de données spécifiques à BloodHound soit encore limité. Les pistes futures incluent l'utilisation de MCP (Model Context Protocol) et d'approches agentiques pour améliorer la génération de requêtes. Usage défensif et offensif : deux faces d'une même médaille Mathieu souligne que les mêmes requêtes Cypher peuvent servir tant aux équipes bleues (défensives) qu'aux équipes rouges (offensives). La différence réside dans l'intention et l'utilisation des résultats, pas dans les outils eux-mêmes. C'est l'équivalent du marteau qui peut construire ou détruire selon l'utilisateur. Pour l'usage défensif, BloodHound Enterprise offre des fonctionnalités avancées comme le scan quasi-continu, l'identification automatique des points de contrôle critiques (choke points), et des outils de remédiation. Même la version communautaire gratuite permet de découvrir des vulnérabilités majeures lors de la première exécution. Exemples concrets et cas d'usage Mathieu partage des exemples frappants de découvertes faites avec BloodHound. Dans une entreprise de plus de 60 000 employés, il a identifié un serveur où tous les utilisateurs du domaine (domain users) avaient été accidentellement configurés comme administrateurs locaux. Comme un compte administrateur de domaine se connectait régulièrement à ce serveur, n'importe quel utilisateur pouvait devenir administrateur du domaine en seulement trois étapes : RDP vers le serveur, dump de la mémoire pour récupérer le token, puis attaque pass-the-hash. Un autre cas récent impliquait le script de login d'un administrateur de domaine stocké dans un répertoire accessible en écriture à tous. En y plaçant un simple script affichant un popup, l'équipe de sécurité a rapidement reçu une notification prouvant la vulnérabilité. Nouvelles fonctionnalités : la vue tableau Bien que moins spectaculaire qu'OpenGraph, la fonctionnalité “table view” répond à un besoin important. La célèbre citation de John Lambert de Microsoft (2015) dit : “Les attaquants pensent en graphe, les défenseurs pensent en liste. Tant que ce sera vrai, les attaquants gagneront.” Bien que la visualisation graphique soit le paradigme central de BloodHound, certaines analyses nécessitent une vue tabulaire. Par exemple, une requête identifiant tous les comptes Kerberoastables retourne de nombreux points à l'écran, mais sans informations détaillées sur les privilèges ou l'appartenance aux groupes. La vue tableau permet de choisir les colonnes à afficher et d'exporter les données en JSON (et bientôt en CSV), facilitant l'analyse et le partage d'informations. Deathcon Montréal : la conférence pour les défenseurs En complément à son travail sur BloodHound, Mathieu est le site leader de Montréal pour Deathcon (Detection Engineering and Threat Hunting Conference). Cette conférence unique, entièrement axée sur les ateliers pratiques (hands-on), se déroule sur deux jours en novembre. Contrairement aux conférences traditionnelles, tous les ateliers sont pré-enregistrés, permettant aux participants de travailler à leur rythme. L'événement se limite volontairement à 50 personnes maximum pour maintenir une atmosphère humaine et favoriser les interactions. Les participants ont accès à un laboratoire massif incluant Splunk, Elastic, Sentinel et Security Onion, et conservent cet accès pendant au moins un mois après l'événement. Sans sponsors, la conférence est entièrement financée par les billets, et l'édition 2024 a déjà vendu plus de 30 places, avec de nombreux participants de l'année précédente qui reviennent. Conclusion BloodHound avec OpenGraph représente une évolution majeure dans la visualisation et l'analyse des chemins d'attaque en cybersécurité. En permettant l'intégration de multiples technologies au-delà d'Active Directory, l'outil offre désormais une vision holistique des vulnérabilités organisationnelles. Que ce soit pour la défense ou les tests d'intrusion, BloodHound continue de démontrer que penser en graphe plutôt qu'en liste constitue un avantage stratégique décisif en matière de sécurité. Collaborateurs Nicolas-Loïc Fortin Mathieu Saulnier Crédits Montage par Intrasecure inc Locaux réels par Bsides Montréal
An airhacks.fm conversation with Alvaro Hernandez (@ahachete) about: Framework laptop experience and build process with DIY edition, modular connectors and upgradability, running Ubuntu 25.10 beta with nix package manager, automating installation with YAML and Ansible, comparison with IBM AS/400 feature activation model, docker adoption history for server maintenance and documentation, PostgreSQL extensions, upgradability and security concerns, challenges with packing 1000+ extensions into container images, security concerns with large monolithic images containing unused extensions, dynamic extension injection using sidecar pod local controller in kubernetes, problems with mutating running containers and security tool compliance, traditional Docker build approach requiring users to become image maintainers, challenging assumptions about container image immutability and Merkle tree, container images as JSON manifests pointing to tar file layers, Dynamic OCI Registry concept for composing images on-the-fly, generating manifests dynamically in milliseconds without Docker build, interface-based approach for mapping user preferences to layer digests, PostgreSQL-specific implementation with extension URL patterns, metadata storage in PostgreSQL database for layer digest resolution, potential applications for quarkus and Java microservices, serverless deployment possibilities with AWS Lambda, comparison with Cloudflare's serverless OCI registry, enterprise use cases for automated patching and security updates, integration possibilities with AWS EventBridge for CI/CD pipelines, transparency to Docker clients with only registry change required, stackgres platform using 4 million lines of Java code, ongres company services including PostgreSQL training and Oracle migrations, Alvaro's website: aht.es Alvaro Hernandez on twitter: @ahachete
Nik and Michael discuss user management in Postgres — how roles work, making administration easier, setting passwords, and avoiding them being logged. Here are some links to things they mentioned:Roles https://www.postgresql.org/docs/current/user-manag.html Privileges https://www.postgresql.org/docs/current/ddl-priv.htmlALTER DEFAULT PRIVILEGES https://www.postgresql.org/docs/current/sql-alterdefaultprivileges.htmlGRANT https://www.postgresql.org/docs/current/sql-grant.htmlREASSIGN OWNED https://www.postgresql.org/docs/current/sql-reassign-owned.htmlALTER ROLE (including SET) https://www.postgresql.org/docs/current/sql-alterrole.html CREATE ROLE https://www.postgresql.org/docs/current/sql-createrole.htmlHave I Been Pwned https://haveibeenpwned.comPwned Passwords API https://haveibeenpwned.com/API/v3#PwnedPasswordsCrunchy Data PostgreSQL Security Technical Implementation Guide (STIG) https://www.crunchydata.com/blog/announcing-the-crunchy-data-postgresql-stigOur episode on auditing https://postgres.fm/episodes/auditing~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
В этом выпуске: что иногда бывает на AliExpress и зачем ClickHouse’у монотонные функции; что нового в PostgreSQL 18 и что случится, если удалить один из сегментов хипа; обсуждаем проекты Wow@Home и ESP32 Bus Pirate; путаемся во всех названиях всех продуктов JetBrains; принимаем SSTV с борта МКС, а также обсуждаем темы слушателей. Шоуноты: Чему мы научились… Читать далее →
Topics covered in this episode: * PostgreSQL 18 Released* * Testing is better than DSA (Data Structures and Algorithms)* * Pyrefly in Cursor/PyCharm/VSCode/etc* * Playwright & pytest techniques that bring me joy* Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: PostgreSQL 18 Released PostgreSQL 18 is out (Sep 25, 2025) with a focus on faster text handling, async I/O, and easier upgrades. New async I/O subsystem speeds sequential scans, bitmap heap scans, and vacuum by issuing concurrent reads instead of blocking on each request. Major-version upgrades are smoother: pg_upgrade retains planner stats, adds parallel checks via -jobs, and supports faster cutovers with -swap. Smarter query performance lands with skip scans on multicolumn B-tree indexes, better OR optimization, incremental-sort merge joins, and parallel GIN index builds. Dev quality-of-life: virtual generated columns enabled by default, a uuidv7() generator for time-ordered IDs, and RETURNING can expose both OLD and NEW. Security gets an upgrade with native OAuth 2.0 authentication; MD5 password auth is deprecated and TLS controls expand. Text operations get a boost via the new PG_UNICODE_FAST collation, faster upper/lower, a casefold() helper, and clearer collation behavior for LIKE/FTS. Brian #2: Testing is better than DSA (Data Structures and Algorithms) Ned Batchelder If you need to grind through DSA problems to get your first job, then of course, do that, but if you want to prepare yourself for a career, and also stand out in job interviews, learn how to write tests. Testing is a skill you'll use constantly, will make you stand out in job interviews, and isn't taught well in school (usually). Testing code well is not obvious. It's a puzzle and a problem to solve. It gives you confidence and helps you write better code. Applies everywhere, at all levels. Notes from Brian Most devs suck at testing, so being good at it helps you stand out very quickly. Thinking about a system and how to test it often very quickly shines a spotlight on problem areas, parts with not enough specification, and fuzzy requirements. This is a good thing, and bringing up these topics helps you to become a super valuable team member. High level tests need to be understood by key engineers on a project. Even if tons of the code is AI generated. Even if many of the tests are, the people understanding the requirements and the high level tests are quite valuable. Michael #3: Pyrefly in Cursor/PyCharm/VSCode/etc Install the VSCode/Cursor extension or PyCharm plugin, see https://pyrefly.org/en/docs/IDE/ Brian spoke about Pyrefly in #433: Dev in the Arena I've subsequently had the team on Talk Python: #523: Pyrefly: Fast, IDE-friendly typing for Python (podcast version coming in a few weeks, see video for now.) My experience has been Pyrefly changes the feel of the editor, give it a try. But disable the regular language server extension. Brian #4: Playwright & pytest techniques that bring me joy Tim Shilling “I've been working with playwright more often to do end to end tests. As a project grows to do more with HTMX and Alpine in the markup, there's less unit and integration test coverage and a greater need for end to end tests.” Tim covers some cool E2E techniques Open new pages / tabs to be tested Using a pytest marker to identify playwright tests Using a pytest marker in place of fixtures Using page.pause() and Playwright's debugging tool Using assert_axe_violations to prevent accessibility regressions Using page.expect_response() to confirm a background request occurred From Brian Again, with more and more lower level code being generated, and many unit tests being generated (shakes head in sadness), there's an increased need for high level tests. Don't forget API tests, obviously, but if there's a web interface, it's gotta be tested. Especially if the primary user experience is the web interface, building your Playwright testing chops helps you stand out and let's you test a whole lot of your system with not very many tests. Extras Brian: Big O - By Sam Who Yes, take Ned's advice and don't focus so much on DSA, focus also on learning to test. However, one topic you should be comfortable with in algortithm-land is Big O, at least enough to have a gut feel for it. And this article is really good enough for most people. Great graphics, demos, visuals. As usual, great content from Sam Who, and a must read for all serious devs. Python 3.14.0rc3 has been available since Sept 18. Python 3.14.0 final scheduled for Oct 7 Django 6.0 alpha 1 released Django 6.0 final scheduled for Dec 3 Python Test Static hosting update Some interesting discussions around setting up my own server, but this seems like it might be yak shaving procrastination research when I really should be writing or coding. So I'm holding off until I get some writing projects and a couple SaaS projects further along. Joke: Always be backing up
Nik and Michael discuss the newly released Postgres 18 — the bigger things it includes, some of their personal highlights, and some thoughts towards the future. Here are some links to things they mentioned:Postgres 18 announcement https://www.postgresql.org/about/news/postgresql-18-released-3142Postgres 18 release notes https://www.postgresql.org/docs/18/release-18.htmlSkip scan episode with Peter Geoghegan https://postgres.fm/episodes/skip-scanEasier Postgres fine-tuning with online_advisor https://neon.com/blog/easier-postgres-fine-tuning-with-online_advisorpganalyze Index Advisor https://pganalyze.com/index-advisorBUFFERS by default https://postgres.fm/episodes/buffers-by-defaultBuffers II (the sequel) https://postgres.fm/episodes/buffers-ii-the-sequelReturn of the BUFFERS https://postgres.fm/episodes/return-of-the-buffersUUID https://postgres.fm/episodes/uuidPartitioning by ULID https://postgres.fm/episodes/partitioning-by-uliduuidv7 and uuid_extract_timestamp functions https://www.postgresql.org/docs/current/functions-uuid.htmlAdd --no-policies option to pg_dump, pg_dumpall, and pg_restore https://git.postgresql.org/gitweb/?p=postgresql.git;a=commitdiff;h=cd3c45125Add ONLY support for VACUUM and ANALYZE https://git.postgresql.org/gitweb/?p=postgresql.git;a=commitdiff;h=62ddf7ee9Make "vacuumdb --analyze-only" process partitioned tables (committed recently for Postgres 19) https://commitfest.postgresql.org/patch/5871/NOT VALID constraints https://postgres.fm/episodes/not-valid-constraintsThe year of the Lock Manager's Revenge (post by Jeremy Schneider) https://ardentperf.com/2024/03/03/postgres-indexes-partitioning-and-lwlocklockmanager-scalabilityIncrease the number of fast-path lock slots https://git.postgresql.org/gitweb/?p=postgresql.git;a=commitdiff;h=c4d5cb71d"enable" parameters will work differently in Postgres 18 https://www.pgmustard.com/blog/enable-parameters-work-differently-in-postgres-18logerrors https://github.com/munakoiso/logerrors~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
"Escolha uma área e fique ali. É o tempo que vai dar espaço para a multidisciplinariedade. Tente criar algo com aquilo" - Felipe Nunes No sexto episódio do Hipsters.Talks, PAULO SILVEIRA , CVO do Grupo Alun, conversa com FELIPE NUNES, senior sales engineer da NEO4J, sobre bancos de dados de grafos e como eles estão revolucionando a forma de trabalhar com dados. Uma conversa sobre como os grafos democratizam o acesso aos dados e potencializam a inteligência artificial. Prepare-se para um episódio cheio de conhecimento e inspiração! Espero que aproveitem :) Sinta-se à vontade para compartilhar suas perguntas e comentários. Vamos adorar conversar com vocês!
We will see how the new popular PostgreSQL extension for VSCode multiplies productivity of PostgreSQL developers with the power of Copilot. In the live demo we will design database schema, visualize it, find a performance issue in the PostgreSQL query and fix it with the help of Copilot. Finally, we'll build an app to compare breweries between Washinton and Oregon! Chapters 00:00 - Introduction 02:48 - Demo - Connect to Azure PostgreSQL database with EntraID 04:26 - Demo - Design and visualize database schema 07:36 - Demo - Adding geospatial column 10:48 - Demo - Optimizing performance of the PostgreSQL query 15:48 - Demo - Creating an app Recommended resources PostgreSQL extension for VSCode Connect Scott Hanselman | @SHanselman Maxim Lukiyanov | LinkedIn: Maxim Lukiyanov Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure
We will see how the new popular PostgreSQL extension for VSCode multiplies productivity of PostgreSQL developers with the power of Copilot. In the live demo we will design database schema, visualize it, find a performance issue in the PostgreSQL query and fix it with the help of Copilot. Finally, we'll build an app to compare breweries between Washinton and Oregon! Chapters 00:00 - Introduction 02:48 - Demo - Connect to Azure PostgreSQL database with EntraID 04:26 - Demo - Design and visualize database schema 07:36 - Demo - Adding geospatial column 10:48 - Demo - Optimizing performance of the PostgreSQL query 15:48 - Demo - Creating an app Recommended resources PostgreSQL extension for VSCode Connect Scott Hanselman | @SHanselman Maxim Lukiyanov | LinkedIn: Maxim Lukiyanov Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure
Nik and Michael are joined by Harry Brundage from Gadget to talk about their recent zero-downtime major version upgrade, how they use Postgres more generally, their dream database, and some challenges of providing Postgres as an abstracted service at scale. Here are some links to things they mentioned:Harry Brundage https://postgres.fm/people/harry-brundageGadget https://gadget.devZero downtime Postgres upgrades using logical replication (blog post) https://gadget.dev/blog/zero-downtime-postgres-upgrades-using-logical-replicationHOT updates https://www.postgresql.org/docs/current/storage-hot.htmlPgDog https://pgdog.devMultigres https://multigres.comNeki https://www.neki.devRunning 10 Million PostgreSQL Indexes In Production (Heap blog post) https://www.heap.io/blog/running-10-million-postgresql-indexes-in-productionpgwatch2 (Postgres.ai Edition) https://gitlab.com/postgres-ai/pgwatch2Advanced query insights on AlloyDB https://cloud.google.com/alloydb/docs/advanced-query-insights-overviewOrioleDB https://www.orioledb.comNot discussed but relevant: Gadget have also now published a blog post about their sharding! https://gadget.dev/blog/sharding-our-core-postgres-database-without-any-downtime~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
Six years, a prototype, and a brief multi-layered descent into “wronger and wronger” design—what does it take to land a major architectural change in Postgres? In Episode 31 of Talking Postgres, Andres Freund—major contributor, Postgres committer, and lead of the Asynchronous I/O project—shares the wins, the missteps, and why he thinks AIO definitely took too long. We dig into io_uring in Linux, direct I/O, streaming reads, technical leadership, and exactly when is the right time to stop working on a prototype. If you've ever wondered how big architectural changes happen, or why they sometimes take years, this episode is for you. Links mentioned in this episode:Talking Postgres podcast: How I got started as a developer (& in Postgres) with Andres Freund & Heikki LinnakangasRelease Notes: PostgreSQL 18 release notes News: PostgreSQL RC 1 Released on Sep 04 2025Wikipedia page: io_uringPostgreSQL: Join the PostgreSQL Hacking DiscordVideo of talk: What went wrong with AIO by Andres Freund at PGConfdev 2025Commit: Add core asynchronous I/O infrastructure to PostgreSQLWiki page: AIO project in PostgreSQL with state, sub-projects, and work still to be doneUpcoming Talk: AIO in PG 18 and Beyond at PGConf NYC on 30 Sep 2025Upcoming Talk: AIO in PG 18 and Beyond at PGConf EU on 23 Oct 2025Wikipedia page: XZ Utils backdoor discovery by Andres FreundCal invite: LIVE recording of Ep32 of Talking Postgres to happen on Wed Oct 8, 2025
Modernizing Search Infrastructure: How Instacart Transitioned from Elasticsearch to PostgreSQL for Enhanced Performance and Simplicity. In this episode of The Data Engineering Show, host Benjamin Wagner speaks with Ankit Mittal, former senior engineer at Instacart, about the company's innovative approach to modernizing their search infrastructure by transitioning from Elasticsearch to PostgreSQL for single-retailer search functionality.
Nik and Michael are joined by Simon Eskildsen from turbopuffer — among other things, they discuss ANN index types, tradeoffs that can make sense for search workloads, and when it can make sense to move search out of Postgres. Here are some links to things they mentioned:Simon Eskildsen https://postgres.fm/people/simon-eskildsenturbopuffer https://turbopuffer.comUse ULID Idempotency Keys (tip 6 in this blog post from Shopify) https://shopify.engineering/building-resilient-payment-systemsPostgreSQL 18 Release Candidate 1 https://www.postgresql.org/about/news/postgresql-18-rc-1-released-3130Understanding DiskANN (blog post by Junaid Ahmed) https://www.tigerdata.com/blog/understanding-diskannSPFresh: Incremental In-Place Update for Billion-Scale Vector Search (paper) https://arxiv.org/abs/2410.14452Amazon S3 adds new functionality for conditional writes https://aws.amazon.com/about-aws/whats-new/2024/11/amazon-s3-functionality-conditional-writesAmazon S3 Vectors https://aws.amazon.com/s3/features/vectors~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
Nik and Michael discuss when not to use Postgres — specifically use cases where it still makes sense to store data in another system. Here are some links to things they mentioned:Just use Postgres (blog post by Ethan McCue) https://mccue.dev/pages/8-16-24-just-use-postgresJust Use Postgres for Everything (blog post by Stephan Schmidt) https://www.amazingcto.com/postgres-for-everythingReal-time analytics episode https://postgres.fm/episodes/real-time-analyticsCrunchy Data Joins Snowflake https://www.crunchydata.com/blog/crunchy-data-joins-snowflakeTwo sizes fit most: PostgreSQL and Clickhouse (blog post by Sid Sijbrandij) https://about.gitlab.com/blog/two-sizes-fit-most-postgresql-and-clickhousepg_duckdb episode https://postgres.fm/episodes/pg_duckdbCloudberry https://github.com/apache/cloudberryTime-series considerations episode https://postgres.fm/episodes/time-series-considerationsQueues in Postgres episode https://postgres.fm/episodes/queues-in-postgresLarge Objects https://www.postgresql.org/docs/current/largeobjects.html PGlite https://pglite.devParadeDB https://www.paradedb.comZomboDB https://github.com/zombodb/zombodbturbopuffer https://turbopuffer.comHNSW vs. DiskANN (blog post by Haziqa Sajid) https://www.tigerdata.com/learn/hnsw-vs-diskannSPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search (paper) https://www.microsoft.com/en-us/research/wp-content/uploads/2021/11/SPANN_finalversion1.pdfAmazon S3 Vectors https://aws.amazon.com/s3/features/vectorsIterative Index Scans added to pgvector in 0.8.0 https://github.com/pgvector/pgvector/issues/678S3 FDW from Supabase https://github.com/supabase/wrappers/tree/main/wrappers/src/fdw/s3_fdw~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
Tony Cardella is a seasoned software engineer based in Houston, Texas. With a robust background in enterprise development, Tony brings deep expertise in the .NET Framework (C#), Python, and cloud platforms including Microsoft Azure and Amazon Web Services. His technical repertoire spans both relational databases — such as SQL Server, MySQL, and PostgreSQL — and NoSQL solutions like Azure Cosmos DB. Tony is a strong advocate for developer productivity tools, frequently leveraging JetBrains products including ReSharper, DataGrip, PyCharm, and Rider, as well as Visual Studio. Outside the world of code, Tony is equally passionate about strength training, whether he's lifting weights himself or coaching others in the discipline. Topics of Discussion: [1:34] Tony shares his career journey, starting with a consulting company that reached out to him while he was job hunting. [3:17] NCrunch is an automated testing tool that runs unit tests continuously, focusing on impacted tests. [5:08] Challenges and benefits of NCrunch, and why would we need to use it? [7:44] Tony shares his approach to unit testing, focusing on covering 80% of the code with minimal effort and addressing the remaining 20% as needed. [8:51] The importance of not over-investing in unit tests that may not provide significant value. [11:47] Tony explains how Ncrunch provides code coverage metrics and visual indicators of covered and uncovered code. [12:59] The tool's ability to show exactly where unit tests are failing, without needing to dive into stack traces. [13:51] Distributed processing and integration tests. [27:44] The challenges of running integration tests with external dependencies, such as databases. [29:18] Exploratory testing and code quality. [32:34] Tony emphasizes the value of unit tests in codifying tribal knowledge and ensuring code quality. Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Tony Cardella Lightning Talks! The Code Gorilla Survey: Fixing Bugs Stealing Time from Development NCrunch Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.
Nik and Michael discuss disks in relation to Postgres — why they matter, how saturation can happen, some modern nuances, and how to prepare to avoid issues. Here are some links to things they mentioned:Nik's tweet demonstrating a NOTIFY hot spot https://x.com/samokhvalov/status/1959468091035009245Postgres LISTEN/NOTIFY does not scale (blog post by Recall ai) https://www.recall.ai/blog/postgres-listen-notify-does-not-scaletrack_io_timing https://www.postgresql.org/docs/current/runtime-config-statistics.html#GUC-TRACK-IO-TIMINGpg_test_timing https://www.postgresql.org/docs/current/pgtesttiming.html PlanetScale for Postgres https://planetscale.com/blog/planetscale-for-postgresOut of disk episode https://postgres.fm/episodes/out-of-disk100TB episode https://postgres.fm/episodes/to-100tb-and-beyond Latency Numbers Every Programmer Should Know https://gist.github.com/jboner/2841832Fio https://github.com/axboe/fio~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
Nik and Michael discuss multi-column indexes in Postgres — what they are, how to think about them, and some guidance around using them effectively. Here are some links to things they mentioned:Multicolumn Indexes (docs) https://www.postgresql.org/docs/current/indexes-multicolumn.htmlOur episode on Index-only scans https://postgres.fm/episodes/index-only-scansCombining Multiple Indexes (docs) https://www.postgresql.org/docs/current/indexes-bitmap-scans.htmlEnable BUFFERS with EXPLAIN ANALYZE by default https://git.postgresql.org/gitweb/?p=postgresql.git;a=commit;h=c2a4078ebad71999dd451ae7d4358be3c9290b07“PostgreSQL includes an implementation of the standard btree […] The only limitation is that an index entry cannot exceed approximately one-third of a page” https://www.postgresql.org/docs/current/btree.htmlOur episode on HOT updates https://postgres.fm/episodes/hot-updatesOur episode on LIMIT vs Performance https://postgres.fm/episodes/limit-vs-performance~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
I was reading Brandon Sanderson's latest novel, Wind and Truth, when I came across a sentence that stopped me cold: "A stronger current makes for stronger fish."That's it. That's what entrepreneurship is.We're constantly encountering currents that either facilitate what we want to accomplish—the businesses we want to build, the lives we want to create—or they oppose us, trying to sweep us into dangerous waters. These currents change all the time. They vary in strength depending on where you are in your journey. And here's the thing: they're mostly invisible until you learn to feel them.Someone on Twitter asked me what my top three currents were after I shared this thought. It turned out to be a revealing exercise—assessing what I'm exposed to, what I'm dealing with, and how I'm navigating these forces. So let me share what I've discovered about the currents pulling at me as I build Podscan.This episode of The Bootstraped Founder is sponsored by Paddle.com — The Web Revenue Lab SeriesThe blog post: https://thebootstrappedfounder.com/the-currents-of-a-founder/The podcast episode: https://tbf.fm/episodes/411-the-currents-of-a-founderCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw
Nikolay and Michael discuss self-driving Postgres — what it could mean, using self-driving cars as a reference, and ideas for things to build and optimize for in this area. Here are some links to things they mentioned:Nikolay's blog post on Self-driving Postgres https://postgres.ai/blog/20250725-self-driving-postgresSAE J3016 levels of driving automation https://www.sae.org/news/2019/01/sae-updates-j3016-automated-driving-graphicOracle Autonomous Database https://www.oracle.com/uk/autonomous-database/Self-Driving Database Management Systems (2017 paper) https://db.cs.cmu.edu/papers/2017/p42-pavlo-cidr17.pdfPGTune https://pgtune.leopard.in.ua/pg_index_pilot https://gitlab.com/postgres-ai/pg_index_pilot/[Vibe] Hacking Postgres with Andrey, Kirk, Nik – index bloat, btree page merge https://www.youtube.com/watch?v=D1PEdDcvZTw~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
Why do Postgres developers, contributors, and users do what they do? In each episode of Talking Postgres, Claire Giordano talks to people from across the Postgres ecosystem—how they got started, what they've learned, and what they're still figuring out. This 3-minute trailer offers a fast-paced glimpse into the fun, surprising, and deeply human stories behind Postgres, including failures, wins, obstacles—and all the messy parts in between. New episodes monthly. Always on Fridays. Subscribe wherever you get your podcasts.Episodes from Talking Postgres with guests featured in the trailer (in order of appearance): Episode 01: Working in public on open source with Simon Willison and Marco SlotEpisode 18: How I got started as a developer (& in Postgres) with David RowleyEpisode 20: How I got started as a developer (& in Postgres) with Tom LaneEpisode 07: Why people care about PostGIS and Postgres with Paul Ramsey & Regina ObeEpisode 29: How I got started leading database teams with Shireesh ThotaEpisode 25: Why Python developers just use Postgres with Dawn WagesEpisode 19: Becoming a Postgres committer with Melanie PlagemanEpisode 24: Why mentor Postgres developers with Robert HaasEpisode 04: How I got started as a dev (& in Postgres) w/Melanie Plageman & Thomas Munro
Nikolay and Michael discuss case-insensitive data — when we want to treat columns as case-insensitive, and the pros and cons of using citext, functions like lower(), or a custom collation. Here are some links to things they mentioned:citext https://www.postgresql.org/docs/current/citext.htmlOur episode on over-indexing https://postgres.fm/episodes/over-indexingNondeterministic collations https://www.postgresql.org/docs/current/collation.html#COLLATION-NONDETERMINISTICHow to migrate from Django's PostgreSQL CI Fields to use a case-insensitive collation (blog post by Adam Johnson) https://adamj.eu/tech/2023/02/23/migrate-django-postgresql-ci-fields-case-insensitive-collationThe collation versioning problem with ICU 73 (blog post by Daniel Vérité) https://postgresql.verite.pro/blog/2023/10/20/icu-73-versioning.htmlamcheck https://www.postgresql.org/docs/current/amcheck.html~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
It's always a good day if you see a pelican. In Episode 30 of Talking Postgres with Claire Giordano, open source developer Simon Willison—creator of Datasette and co-creator of Django—joins to explore how AI is useful for data engineers today. We move past the hype and boosterism to dig into example after example: structured data extraction, alt text and accessibility, safety and security (aka the fiddly bits), and why Postgres's fine-grained permissions are such a good fit for AI-powered workflows. Also: Pulitzer-worthy data tooling, the science fiction of the 10X engineer, agents, MCP, RAG, the multitude of models, and why Simon spends so many waking hours on the jagged frontier of AI.Links mentioned in this episode:Blog: Simon Willison's WeblogBlog: Simon's Willison's TIL - Things I've LearnedPodcast episode: Working in public on open source with Simon Willison and Marco SlotProject page: Django Web FrameworkProject page: Datasette, for finding stories in data GitHub repo: llm CLI tool and Python libraryDemo: Language models on the command-line w/ Simon WillisonBlog post: OpenAI's new open weight (Apache 2) models are really good, by Simon Willison Podcast episode: Accessibility and Gen AI podcast with guest Simon WillisonBlog post: New dashboard: alt text for all my images, by Simon Willison Keynote talk: Big Opportunities in Small Data, by Simon Willison at Citus Con: An Event for Postgres 2023 Blog post: How OpenElections Uses LLMs, by Derek Willis Blog posts tagged with pelican-riding-a-bicycle on Simon Willison's Weblog Blog post: No, AI is not Making Engineers 10x as Productive, via Colton Voege, featured on Simon's weblogGitHub repo: pgvector extension to PostgresCal invite: LIVE recording of Ep31 of Talking Postgres to happen on Wed Sep 17, 2025
In this episode Michael, Sarah and Mark talk to Mark Kendrick about Microsoft Sentinel Data Lake. We also cover news about The Open Group - Roles and Glossary standards, Security Adoption Module 5 - Data Security, Microsoft Azure Cloud HSM, WAF and Containers, PostgreSQL and PowerBI, Azure Managed Lustre, and more. Also, Sarah mentions some Developer Security YouTube videos coming out from MS Build!https://aka.ms/azsecpod
Nikolay talks to Michael about Postgres AI's new monitoring tool — what it is, how its different to other tools, and some of the thinking behind it. Here are some links to things they mentioned:postgres_ai monitoring https://gitlab.com/postgres-ai/postgres_aiDB Lab 4.0 announcement https://github.com/postgres-ai/database-lab-engine/releases/tag/v4.0.0pganalyze https://pganalyze.compostgres-checkup https://gitlab.com/postgres-ai/postgres-checkupPercona Monitoring and Management (PMM) https://github.com/percona/pmmpgwatch https://github.com/cybertec-postgresql/pgwatchpgwatch Postgres AI Edition https://gitlab.com/postgres-ai/pgwatch2libpg_query https://github.com/pganalyze/libpg_queryThe Four Golden Signals https://sre.google/sre-book/monitoring-distributed-systems/#xref_monitoring_golden-signalslogerrors https://github.com/munakoiso/logerrors~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
Nikolay and Michael are joined by Andrew Johnson and Nate Brennand from Metronome to discuss MultiXact member space exhaustion — what it is, how they managed to hit it, and some tips to prevent running into it at scale. Here are some links to things they mentioned:Nate Brennand https://postgres.fm/people/nate-brennandAndrew Johnson https://postgres.fm/people/andrew-johnsonMetronome https://metronome.comRoot Cause Analysis: PostgreSQL MultiXact member exhaustion incidents (blog post by Metronome) https://metronome.com/blog/root-cause-analysis-postgresql-multixact-member-exhaustion-incidents-may-2025Multixacts and Wraparound (docs) https://www.postgresql.org/docs/current/routine-vacuuming.html#VACUUM-FOR-MULTIXACT-WRAPAROUNDmultixact.c source code https://github.com/postgres/postgres/blob/master/src/backend/access/transam/multixact.cAdd pg_stat_multixact view for multixact membership usage monitoring (patch proposal by Andrew, needing review!) https://commitfest.postgresql.org/patch/5869/PostgreSQL subtransactions considered harmful (blog post by Nikolay) https://postgres.ai/blog/20210831-postgresql-subtransactions-considered-harmfulvacuum_multixact_failsafe_age doesn't account for MultiXact member exhaustion (thread started by Peter Geoghegan) https://www.postgresql.org/message-id/flat/CAH2-WzmLPWJk3gbAxy8dHY%2BA-Juz_6uGwfe6DkE8B5-dTDvLcw%40mail.gmail.comAmazon S3 Vectors https://aws.amazon.com/blogs/aws/introducing-amazon-s3-vectors-first-cloud-storage-with-native-vector-support-at-scale/MultiXacts in PostgreSQL: usage, side effects, and monitoring (blog post by Shawn McCoy and Divya Sharma from AWS) https://aws.amazon.com/blogs/database/multixacts-in-postgresql-usage-side-effects-and-monitoring/Postgres Aurora multixact monitoring queries https://gist.github.com/natebrennand/0924f723ff61fa897c4106379fc7f3dc And finally an apology and a correction, the membership space is ~4B, not ~2B as said by Michael in the episode! Definition here:https://github.com/postgres/postgres/blob/f6ffbeda00e08c4c8ac8cf72173f84157491bfde/src/include/access/multixact.h#L31And here's the formula discussed for calculating how the member space can grow quadratically by the number of overlapping transactions:Members can be calculated via: aₙ = 2 + [sum from k=3 to n+1 of k]This simplifies to: aₙ = (((n+1)(n+2))/2) - 1~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith special thanks to:Jessie Draws for the elephant artwork
Welcome to episode 312 of The Cloud Pod, where your hosts, Matt, Ryan, and Justin, are here to bring you all the latest in Cloud and AI news. We've got security news, updates from PostgreSQL, Azure firewall and BlobNFS, plus TWO Cloud Journey stories for you! Thanks for joining us this week in the cloud! Titles we almost went with this week: Git Happens: Why Your Database Pipeline Keeps Breaking PostgreSQL and Chill: Azure’s New Storage Options for Database Romance NVMe, Myself, and PostgreSQL Canvas and Effect: AWS Paints a New Picture for E-commerce Oracle’s $30 Billion Stargate: The AI Infrastructure Wars Begin Larry’s Last Laugh: Oracle Lands OpenAI’s Mega Deal AI Will See You Now (Couch Not Included) Purview and Present Danger: Microsoft’s AI Security SDK Goes Live The Purview from Up Here: Microsoft’s Bird’s Eye View on AI Data Security Building Bridges: Azure’s Two-Way Street to Active Directory Domain Names: Not Just for Browsers Anymore FUSE or Lose: Azure’s BlobNFS Gets a Speed Boost When Larry Met Andy: An Exadata Love Story Bing There, Done That: Azure’s New Research Assistant The Search is Over: Azure AI Foundry Finds Its Research Groove Memory Lane: Where AI Agents Go to Remember Things Elephants Never Forget, and Now Neither Do Google’s Agents Z3 or Not Z3: That is the Storage Question Local SSD Hero: A New Hope for I/O Intensive Workloads Azure’s Certificate of Insecurity KeyVault’s Keys Left Under the Doormat When Your Cloud Provider Accidentally CCs the Hackers AI Is Going Great – Or How ML Makes Money 03:09 RYAN DOES A THING FOR SECURING AI WORKLOADS Ryan was recently invited to Google's Headquarters in San Francisco as part of a small group of security professionals where they spent time hands-on with Google security offerings, learning how to secure AI workloads. AI – and how to secure it – is a hot topic right now, and being able to spend time working with the Google development team was really insightful, with how they work with various levels of protections in place in dummy applications. Ryan was especially interested in the back-end logic that was executed in the applications. 05:32 Ryan – “I was impressed because there’s how we’re thinking about AI is still evolving, and how we’re protecting it’s gonna be changing rapidly, and having real-world examples really helped really flesh out how their AI services are, how they’re integrated into a security ecosystem. It was pretty impressive. And it’s something that’s near and dear. I’ve been working and trying to roll out Google agent spaces and different AI workloads and trying to get involved and make sure that we, just getting visibility into all the different ones. And that was, it was really helpful to sort of think about it in those contexts.” 10:13 OpenAI secures $30bn cloud deal with Oracle OpenAI signed a $30 billion annual cloud computing agreement with Oracle for 4.5GW of capacity, making it one of the largest AI cloud deals to date, and nearly triple Oracle’s current $10.3 billion annual data center infrastructure revenue.
Nikolay and Michael are joined by Sugu Sougoumarane to discuss Multigres — a project he's joined Supabase to lead, building an adaptation of Vitess for Postgres! Here are some links to things they mentioned:Sugu Sougoumarane https://postgres.fm/people/sugu-sougoumaraneSupabase https://supabase.comAnnouncing Multigres https://supabase.com/blog/multigres-vitess-for-postgresVitess https://github.com/vitessio/vitessSPQR https://github.com/pg-sharding/spqrCitus https://github.com/citusdata/citusPgDog https://github.com/pgdogdev/pgdogMyths and Truths about Synchronous Replication in PostgreSQL (talk by Alexander Kukushkin) https://www.youtube.com/watch?v=PFn9qRGzTMcConsensus algorithms at scale (8 part series by Sugu) https://planetscale.com/blog/consensus-algorithms-at-scale-part-1A More Flexible Paxos (blog post by Sugu) https://www.sougou.io/a-more-flexible-paxoslibpg_query https://github.com/pganalyze/libpg_queryPL/Proxy https://github.com/plproxy/plproxyPlanetScale Postgres Benchmarking https://planetscale.com/blog/benchmarking-postgresMultiXact member exhaustion incidents (blog post by Cosmo Wolfe / Metronome) https://metronome.com/blog/root-cause-analysis-postgresql-multixact-member-exhaustion-incidents-may-2025~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith special thanks to:Jessie Draws for the elephant artwork
From dreaming of driving a bus to leading database engineering at Microsoft. In Episode 29 of Talking Postgres with Claire Giordano, Shireesh Thota traces his path to becoming CVP of Azure databases—rooted in a love of math, early BASIC programming, and a certainty that he'd become an engineer. We dig into the shift from engineer to manager (if only people came with documentation); why it's so important for Microsoft to contribute to the PostgreSQL open source project—not just consume it; and whether Shireesh has a favorite database (hint: it better be Postgres.)Links mentioned in this episode:Blog post excerpt: Why we have a Postgres open source contributor team at MicrosoftPodcast episode: Leading engineering for Postgres on Azure with Affan DarVS Code Marketplace: New VS Code extension for PostgreSQLPOSETTE 2025 talk: Introducing Microsoft's VS Code extension for Postgres by Matt McFarlandLinkedIn post: PGConf.dev 2025 talk on “The trouble with extensions” by Marco SlotPodcast episode: How I got started as a developer (& in Postgres) with David RowleyBook: Who Moved My CheeseCal invite: LIVE recording of Ep30 of Talking Postgres to happen on Wed Aug 6, 2025
In this episode, Michael, Sarah and Mark talk to Den Delimarksy about the current posture of Model Context Protocol. Den serves on the committee that oversees MCP. We also cover the latest security news about Azure Firewall, OpenTelemetry, Azure Front Door, Azure Database for PostgreSQL and Azure Kubernetes Service.https://aka.ms/azsecpod
In this repeat episode, Nikolas Burk, DevRel at Prisma, talks about Prisma Postgres, its unikernel architecture, and its seamless integration with cloud infrastructure. Discover how Prisma Postgres is revolutionizing database management with features like cold start elimination, real-time event handling and advanced caching strategies! Links X: https://x.com/nikolasburk LinkedIn: https://www.linkedin.com/in/nikolas-burk-1bbb7b8a Github: https://github.com/nikolasburk Resources Prisma Postgres®: Building a Modern PostgreSQL Service Using Unikernels & MicroVMs: https://www.prisma.io/blog/announcing-prisma-postgres-early-access We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Nikolas Burk.
Nikolay and Michael are joined by Gwen Shapira to discuss multi-tenant architectures — the high level options, the pros and cons of each, and how they're trying to help with Nile. Here are some links to things they mentioned:Gwen Shapira https://postgres.fm/people/gwen-shapiraNile https://www.thenile.devSaaS Tenant Isolation Strategies (AWS whitepaper) https://docs.aws.amazon.com/whitepapers/latest/saas-tenant-isolation-strategies/saas-tenant-isolation-strategies.html Row Level Security https://www.postgresql.org/docs/current/ddl-rowsecurity.htmlCitus https://github.com/citusdata/citusPostgres.AI Bot https://postgres.ai/blog/20240127-postgres-ai-bot RLS Performance and Best Practices https://supabase.com/docs/guides/troubleshooting/rls-performance-and-best-practices-Z5JjwvCase Gwen mentioned about the planner thinking an optimisation was unsafe Re-engineering Postgres for Millions of Tenants (Gwen's recent talk at PGConf.dev) https://www.youtube.com/watch?v=EfAStGb4s88 Multi-tenant database the good, the bad, the ugly (talk by Pierre Ducroquet at PgDay Paris) https://www.youtube.com/watch?v=4uxuPfSvTGU ~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith special thanks to:Jessie Draws for the elephant artwork
What drives someone to publish 600+ issues of a Postgres newsletter for over a decade? In Episode 28 of Talking Postgres with Claire Giordano, Peter Cooper—creator of Postgres Weekly—shares how his days of rustic programming and QBASIC fanzines on Usenet led to a newsletter empire that now reaches nearly half a million developers each week. We dig into the BBC's "big tent" editorial influence, an accidental business model that just worked, and the perils of "temporary" hacks. Plus: spam filters, a Photoshop addiction, and one very cheesy story (dairy-free).Links mentioned in this episode:Newsletter: Postgres WeeklyCooperpress: List of newslettersNewsletter: Latest issue of Postgres Weekly on Jun 19, 2025Newsletter: Postgres Weekly issue with horrible graphicNewsletter: Very first issue of Postgres Weekly on Mar 13, 2013Newsletter: Ruby Weekly, the first Cooperpress newsletterBook: Beginning Ruby Third Edition, by Peter CooperPodcast episode: How I got started as a developer (& in Postgres) with David RowleyFeed reader: FeedbinGitHub repo: feedbin/feedbinFeed reader: FeederEmail testing software: LitmusGitHub repo: MGML markup language for emailPaper: The Design of PostgresGitHub repo: PGRX for building Postgres extensions in RustPodcast news: Podnews.net for daily briefings about podcastsWikipedia page: BBC MicroWikipedia page: ZX SpectrumCal invite: LIVE recording of Ep29 of Talking Postgres to happen on Wed Jul 9, 2025
Nikolay and Michael discuss looking at queries by mean time — when it makes sense, why ordering by a percentile (like p99) might be better, and the merits of approximating percentiles in pg_stat_statements using the standard deviation column. Here are some links to things they mentioned:Approximate the p99 of a query with pg_stat_statements (blog post by Michael) https://www.pgmustard.com/blog/approximate-the-p99-of-a-query-with-pgstatstatementspg_stat_statements https://www.postgresql.org/docs/current/pgstatstatements.html Our episode about track_planning https://postgres.fm/episodes/pg-stat-statements-track-planning pg_stat_monitor https://github.com/percona/pg_stat_monitorstatement_timeout https://www.postgresql.org/docs/current/runtime-config-client.html#GUC-STATEMENT-TIMEOUT~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
In today's episode, I talk to Adam Hendel, the founding engineer of Tembo, about their project, PGMQ, and how it came to be. We discuss the design decisions behind job queues, interfacing from Rust to Postgres, and the engineering decisions that went into building the extension.
Tänases episoodis on külas Indrek Ots, kogenud tarkvarainsener, kes jagas möödunud Digit konverentsil oma teadmisi PostgreSQL teemal. Episoodis räägime, miks PostgreSQL toimimist peaks iga arendaja mõistma. Vestleme, miks SELECT-päring võib rakenduse seisma panna, kuidas transaktsioonid päriselt töötavad, miks Springi vaikimisi seadistus võib olla probleemiks ja kuidas PostgreSQL-i vacuum protsess baasi jõudlust mõjutada võib. Lisaks puudutame mikroteenuste ja asünkroonsete süsteemidega kaasnevaid väljakutseid andmebaaside vaates.
Nikolay and Michael discuss logging in Postgres — mostly what to log, and why changing quite a few settings can pay off big time in the long term. Here are some links to things they mentioned:What to log https://www.postgresql.org/docs/current/runtime-config-logging.html#RUNTIME-CONFIG-LOGGING-WHATOur episode about Auditing https://postgres.fm/episodes/auditing Our episode on auto_explain https://postgres.fm/episodes/auto_explain Here are the parameters they mentioned changing:log_checkpointslog_autovacuum_min_duration log_statementlog_connections and log_disconnectionslog_lock_waitslog_temp_fileslog_min_duration_statement log_min_duration_sample and log_statement_sample_rate And finally, some very useful tools they meant to mention but forgot to! https://pgpedia.infohttps://postgresqlco.nfhttps://why-upgrade.depesz.com/show?from=16.9&to=17.5 ~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork
PostgreSQL is an open-source database known for its robustness, extensibility, and compliance with SQL standards. Its ability to handle complex queries and maintain high data integrity has made it a top choice for both start-ups and large enterprises. Heikki Linnakangas is a leading developer for the PostgreSQL project, and he's a co-founder at Neon, which The post Building PostgreSQL for the Future with Heikki Linnakangas appeared first on Software Engineering Daily.
With NixOS 25.05 around the corner, we sit down with a release manager to unpack what's new, what's changing, and what's finally getting easier. Spoiler: it's not just the tooling.Sponsored By:Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices! 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. Support LINUX UnpluggedLinks:
Google and Mozilla patch nearly two dozen security flaws. The UK's Royal Mail Group sees 144GB of data stolen and leaked. A bizarre campaign looks to recruit cybersecurity professionals to hack Chinese websites. PostgreSQL servers with weak credentials have been compromised for cryptojacking. Google Cloud patches a vulnerability affecting its Cloud Run platform. Oracle faces a class-action lawsuit over alleged cloud services data breaches. CISA releases ICS advisories detailing vulnerabilities in Rockwell Automation and Hitachi Energy products. General Paul Nakasone offers a candid assessment of America's evolving cyber threats. On today's CertByte segment, a look at the Cisco Enterprise Network Core Technologies exam. Are AI LLMs more like minds or mirrors? Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CertByte Segment Welcome to CertByte! On this bi-weekly segment hosted by Chris Hare, a content developer and project management specialist at N2K, we share practice questions from N2K's suite of industry-leading certification resources, this week, Chris is joined by Troy McMillan to break down a question targeting the Cisco Enterprise Network Core Technologies (350-401 ENCOR) v1.1 exam. Today's question comes from N2K's Cisco CCNP Implementing and Operating Cisco Enterprise Network Core Technologies ENCOR (350-401) Practice Test. The ENCOR exam enables candidates to earn the Cisco Certified Specialist - Enterprise Core certification, which can also be used to meet exam requirements for several other Cisco certifications. Have a question that you'd like to see covered? Email us at certbyte@n2k.com. If you're studying for a certification exam, check out N2K's full exam prep library of certification practice tests, practice labs, and training courses by visiting our website at n2k.com/certify.To get the full news to knowledge experience, learn more about our N2K Pro subscription at https://thecyberwire.com/pro. Please note: The questions and answers provided here, and on our site, are not actual current or prior questions and answers from these certification publishers or providers. Additional source: https://www.cisco.com/site/us/en/learn/training-certifications/exams/encor.html Selected Reading Chrome 135, Firefox 137 Patch High-Severity Vulnerabilities (SecurityWeek) Royal Mail Group Loses 144GB to Infostealers: Same Samsung Hacker, Same 2021 Infostealer Log (Infostealers) Someone is trying to recruit security researchers in bizarre hacking campaign (TechCrunch) Ongoing cryptomining campaign hits over 1.5K PostgreSQL servers (SC Media) ImageRunner Flaw Exposed Sensitive Information in Google Cloud (SecurityWeek) Google Brings End-to-End Encrypted Emails to All Enterprise Gmail Users (SecurityWeek) Oracle now faces class action amid alleged data breaches (The Register) CISA Releases Two ICS Advisories for Vulnerabilities, & Exploits Surrounding ICS (Cyber Security News) Exclusive: Gen. Paul Nakasone says China is now our biggest cyber threat (The Record) Large AI models are cultural and social technologies (Science) Share your feedback. We want to ensure that you are getting the most out of the podcast. Please take a few minutes to share your thoughts with us by completing our brief listener survey as we continually work to improve the show. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at cyberwire@n2k.com to request more info. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices