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Reels en Tendance

(12)
#Postgresql Reel by @alex_pro_ai - Comment "Postgres" to get the code! In this reel, I show how to build a simple REST API using Node.js, Express, and PostgreSQL. We connect to Postgre
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@alex_pro_ai
Comment “Postgres” to get the code! In this reel, I show how to build a simple REST API using Node.js, Express, and PostgreSQL. We connect to Postgres with a connection pool, create a clean /users endpoint, and return data as JSON. Perfect if you’re learning backend development or want a minimal, real-world API example 🚀
#Postgresql Reel by @soul_in_code (verified account) - "Intern optimized nothing. PostgreSQL optimized nothing. Server optimized sleep mode." 😌🔥 This query looks simple, but it's slow because: data->>'
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@soul_in_code
“Intern optimized nothing. PostgreSQL optimized nothing. Server optimized sleep mode.” 😌🔥 This query looks simple, but it’s slow because: data->>’status’ extracts a value from a JSONB column → no normal B-tree index can be used. (data->>’age’)::int casts text to integer inside the WHERE clause → forces a full table scan. ORDER BY (data->>’created_at’)::timestamp sorts on a computed value → full sort on millions of rows. SELECT * returns unnecessary data → more memory + I/O. So instead of using indexes, PostgreSQL reads every row, parses JSON for each one, casts values, then sorts everything. On 3M rows? That’s not a query. That’s cardio. 💀 [programming, software engineering, software, remote work life, database] #programming #softwareengineer #software #remoteworklife
#Postgresql Reel by @techfairyanna - PostgreSQL adapter psychopg2 psycopg2 is a popular PostgreSQL adapter for Python that allows Python applications to connect to, query, and interact w
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@techfairyanna
PostgreSQL adapter psychopg2 psycopg2 is a popular PostgreSQL adapter for Python that allows Python applications to connect to, query, and interact with PostgreSQL databases. Full video: https://youtu.be/Qu5tCXPYBww #psycopg2 #PostgreSQL #Python #Database #SQL #BackendDevelopment #Flask #API #DBAPI #WebDevelopment #PythonBackend #DataEngineering #DevLife #TechFairy #TerminalLife #OpenSource #LinuxMagic
#Postgresql Reel by @jokiproyek - Stop install database manual di laptop sampe berat dan nyampah di system! Jaman sekarang setup environment backend itu udah serba gampang. Pake Docke
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@jokiproyek
Stop install database manual di laptop sampe berat dan nyampah di system! Jaman sekarang setup environment backend itu udah serba gampang. Pake Docker Compose, lo cuma butuh satu file .yml, ketik docker compose up -d, dan database PostgreSQL langsung nyala di background. Kalau udah selesai coding, tinggal dimatiin (down), laptop balik bersih lagi. ✨ Trik ini wajib banget dikuasain sama Fullstack atau Backend Developer biar kerjaan makin efisien. #docker #postgresql #backenddeveloper #fullstackdeveloper #codinghacks
#Postgresql Reel by @it.incubator - #backend webhook идемпотентность, PostgreSQL #обучение #трудоустройство #стажировка
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@it.incubator
#backend webhook идемпотентность, PostgreSQL #обучение #трудоустройство #стажировка
#Postgresql Reel by @codewithupasana - PostgreSQL vs MySQL 👀 One is strict, powerful & feature-rich. One is fast, simple & production-proven. Choosing the wrong one won't crash your app…
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@codewithupasana
PostgreSQL vs MySQL 👀 One is strict, powerful & feature-rich. One is fast, simple & production-proven. Choosing the wrong one won’t crash your app… But it might kill your scalability. Save this before your next system design round. 🚀 #PostgreSQL #MySQL #SQL #BackendDevelopment SystemDesign Databases SoftwareEngineer TechContent CodingLife Developer
#Postgresql Reel by @bpbonline (verified account) - With the tech landscape evolving so quickly, knowing which database technologies are leading the pack is crucial. Can you guess what's #3? 🤔 We wan
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BP
@bpbonline
With the tech landscape evolving so quickly, knowing which database technologies are leading the pack is crucial. Can you guess what’s #3? 🤔 We want to hear from you! Do you think you can guess the final database on the list? 👇 Write your guess in the comments below! Let’s see who gets it right! Ready to master these technologies and level up your data game? 📚 Check out our wide range of expert-led tech books and resources at BPB Online. List Source: DB-engines #Databases #TechTrends #Oracle #MySQL #PostgreSQL #MongoDB #DataScience #BPBOnline #CodingCommunity #FutureOfTech #DatabaseManagement
#Postgresql Reel by @java.treasure.tech - Why do serious enterprise systems prefer PostgreSQL? Because when systems handle financial data, compliance workloads, or high concurrency - correctne
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@java.treasure.tech
Why do serious enterprise systems prefer PostgreSQL? Because when systems handle financial data, compliance workloads, or high concurrency — correctness and predictability matter more. Here’s what makes PostgreSQL enterprise-grade: 1️⃣ True ACID Compliance Atomicity (all-or-nothing transactions) Consistency (data always valid) Isolation (transactions don’t corrupt each other) Durability (committed data survives crashes via WAL – Write-Ahead Logging) In enterprise systems, partial commits are unacceptable. 2️⃣ MVCC (Multi-Version Concurrency Control) Instead of locking everything: Readers don’t block writers Writers don’t block readers Each transaction sees a consistent snapshot This allows live traffic + heavy reporting without chaos. 3️⃣ Serializable Isolation (SSI) For critical flows, PostgreSQL supports true Serializable isolation — preventing subtle concurrency anomalies like double spending or phantom reads. Important in regulated systems. 4️⃣ Advanced Query Engine Cost-based optimizer Parallel query execution Window functions CTEs & recursive queries JIT (LLVM-based execution) Enterprise systems often mix OLTP + reporting. Postgres handles both reliably. 5️⃣ Powerful Indexing Options B-Tree (default) GIN (JSONB, full-text search) GiST (ranges, geo data) BRIN (large time-series tables) Partial & expression indexes Index strategy becomes architectural leverage. 6️⃣ JSONB with Relational Discipline Store semi-structured data Index inside JSON Combine joins + flexible schema Modern enterprise systems need hybrid data modeling — Postgres supports it cleanly. 7️⃣ Strong Integrity Constraints Foreign keys Check constraints Exclusion constraints Deferred constraints Business rules enforced at database level — not just in code. 8️⃣ High Availability & Recovery Streaming replication Logical replication Point-in-Time Recovery (PITR) WAL archiving Enterprise recovery must be deterministic. 9️⃣ Observability & Debugging EXPLAIN ANALYZE pg_stat_activity Lock inspection Query statistics It’s chosen because it behaves correctly under load, complexity, and regulatory pressure. 👍 Save for later 👉 Follow for more 👇 #postgresql #database #techtrend
#Postgresql Reel by @martinrojas.exe - 🐘 PostgreSQL vs 🐬 MySQL: ¿Cuál motor deberías elegir? 🔹 MySQL (El velocista): Su arquitectura está optimizada para transacciones rápidas y lectura
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@martinrojas.exe
🐘 PostgreSQL vs 🐬 MySQL: ¿Cuál motor deberías elegir? 🔹 MySQL (El velocista): Su arquitectura está optimizada para transacciones rápidas y lecturas web pesadas. En la animación vemos cómo hace un Sequential Scan en una tabla clásica. Es puro músculo relacional. 🔹 PostgreSQL (La bestia analítica): Es un motor “Objeto-Relacional”. Soporta Parallel Queries (usando múltiples núcleos del procesador al mismo tiempo) y maneja datos no estructurados como JSONB de forma nativa, permitiéndote hacer consultas directo dentro del JSON sin penalizar el rendimiento. 💡 La Analogía (El Archivero vs El Equipo de Búsqueda) “Imagina que pides buscar todos los contratos firmados en 2025. MySQL es un archivero experto e increíblemente rápido. Va cajón por cajón, revisando carpeta por carpeta a una velocidad absurda. Encuentra lo que buscas rapidísimo. PostgreSQL es un equipo completo de bibliotecarios. Cuando les pides la búsqueda, el jefe divide la tarea: ‘Tú revisa la sección A, tú la B, y tú la C’. Trabajan en paralelo. Además, si les pides que abran un documento y lean el párrafo 3 de la página 5 (que sería un JSONB), lo hacen sin sudar, mientras que MySQL tendría que sacar el documento entero para que tú lo leas afuera.” #database #mysql #postgresql
#Postgresql Reel by @learnomate - PostgreSQL DBA Training Batch Starting Soon ‼️ #learnomatetechnologies #learnomate #explorepage #reels #trending
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@learnomate
PostgreSQL DBA Training Batch Starting Soon ‼️ #learnomatetechnologies #learnomate #explorepage #reels #trending
#Postgresql Reel by @enoughtoship - MySQL is not a joke. 3 things it does better than Postgres.���mysql vs postgres | postgresql vs mysql | database comparison | write amplification | ub
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@enoughtoship
MySQL is not a joke. 3 things it does better than Postgres.���mysql vs postgres | postgresql vs mysql | database comparison | write amplification | uber mysql | pgbouncer | connection pooling |� |backend engineering basics for beginners | software engineer tips | developer jargon explained | tech career growth | enough to ship |��#softwareengineering #backenddeveloper #systemdesign #techcareer
#Postgresql Reel by @keerti.purswani (verified account) - OpenAI's Blog has this section - Challenge: Each instance has a maximum connection limit (5,000 in Azure PostgreSQL). It's easy to run out of connecti
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@keerti.purswani
OpenAI’s Blog has this section - Challenge: Each instance has a maximum connection limit (5,000 in Azure PostgreSQL). It’s easy to run out of connections or accumulate too many idle ones. We’ve previously had incidents caused by connection storms that exhausted all available connections. Solution: We deployed PgBouncer as a proxy layer to pool database connections. Running it in statement or transaction pooling mode allows us to efficiently reuse connections, greatly reducing the number of active client connections. This also cuts connection setup latency: in our benchmarks, the average connection time dropped from 50 milliseconds (ms) to 5 ms. Inter-region connections and requests can be expensive, so we co-locate the proxy, clients, and replicas in the same region to minimize network overhead and connection use time. Moreover, PgBouncer must be configured carefully. Settings like idle timeouts are critical to prevent connection exhaustion. #postgres #databases #softwaredevelopers #latesttechnews

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Explorer Postgresql#postgresql dba#postgresql and mysql difference#difference between sql and mysql and postgresql#postgresql explain options#orm for postgresql#postgresql commit command tutorial#pattern matching in postgresql#how to optimize jsonb operations in postgresql