Best of PostgreSQL — February 2026

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   Article

   Hacker News·15w

   It’s 2026, Just Use Postgres

   Postgres extensions can replace specialized databases like Elasticsearch, Pinecone, Redis, MongoDB, and InfluxDB using the same core algorithms (BM25, HNSW, DiskANN). Managing one database instead of seven reduces operational complexity, eliminates data sync issues, simplifies AI agent testing, and cuts infrastructure overhead. Extensions like pg_textsearch, pgvector, pgvectorscale, TimescaleDB, and PostGIS provide full-text search, vector search, time-series, caching, document storage, and geospatial capabilities within Postgres. For 99% of companies, Postgres handles all database needs without the cognitive load, monitoring burden, and failure modes of database sprawl.

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   Article

   ByteByteGo·13w

   How OpenAI Scaled to 800 Million Users With Postgres

   OpenAI scaled PostgreSQL to handle millions of queries per second for 800 million ChatGPT users using a single-primary architecture with read replicas. Their approach focused on three pillars: minimizing primary database load through read offloading and write optimization, query and connection optimization using PgBouncer for connection pooling, and preventing cascading failures with cache locking and rate limiting. They addressed PostgreSQL's MVCC constraints by migrating write-heavy workloads to sharded systems and enforcing strict schema change rules. The system achieves five-nines availability with low double-digit millisecond p99 latency through systematic optimization rather than sharding.

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   Article

   freeCodeCamp·12w

   Master Kubernetes Through Production-Ready Practice

   A 6-hour hands-on Kubernetes course posted on freeCodeCamp's YouTube channel, developed by Saiyam Pathak. It covers deploying a cloud-native microservices stack from scratch, including Kubernetes architecture (Control Plane, Worker Nodes, CRI/CNI/CSI), Gateway API for traffic management, CloudNativePG for PostgreSQL, cert-manager for HTTPS, and full-stack observability with Prometheus and Grafana. The course targets production-grade deployments rather than isolated command memorization.

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   Article

   marmelab·12w

   9 Advanced PostgreSQL Features I Wish I Knew Sooner

   A practical tour of nine underused PostgreSQL features that can replace complex application-level logic with native database capabilities. Covered features include EXCLUDE constraints for preventing overlapping ranges, CHECK constraints for row-level validation, GENERATED columns for derived data, DISTINCT ON as a concise alternative to GROUP BY, the FILTER clause for conditional aggregates, PARTITION BY window functions, ON CONFLICT upserts, composite types for structured nested data, and recursive CTEs for traversing hierarchical data. Each feature is illustrated with concrete use cases and SQL examples, along with relevant limitations and links to official documentation.

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   Article

   Supabase·14w

   Hydra joins Supabase

   Supabase acquires Hydra, bringing co-creator Joe Sciarrino on board to lead their Open Warehouse Architecture initiative. Hydra co-developed pg_duckdb, an MIT-licensed Postgres extension that accelerates analytics queries by over 600x. Supabase will maintain pg_duckdb as open source while building an open data warehouse architecture that integrates Postgres with object storage, serverless analytics workflows, and modern table formats. The company is hiring C++ programmers and storage engineers to build this vision.

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   Article

   Lobsters·12w

   Git in Postgres

   An exploration of storing git repositories inside PostgreSQL instead of the filesystem. The author built gitgres, a ~2,000-line C library implementing libgit2's object and ref database backends against Postgres via libpq. The git data model maps to just two tables (objects and refs), enabling SQL queries that join commit history with application data like issue trackers. The post argues this approach could simplify self-hosted forge deployments (targeting Forgejo/Gitea) by eliminating the split between a Postgres-backed web app and filesystem-based bare repos, enabling unified backups with pg_dump, row-level security for multi-tenancy, and NOTIFY-based push events. Storage overhead from lack of delta compression is acknowledged as a real trade-off, but the author argues operational simplicity outweighs it for small instances.

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   Article

   Last9·12w

   Database Partitioning: Types, Strategies, and When to Use Each

   Database partitioning splits large tables into smaller physical segments within the same database instance, with the engine automatically routing queries to the correct partition. The three main strategies are range partitioning (ideal for time-series data), list partitioning (for categorical values like region), and hash partitioning (for even distribution). Partition key selection is critical — if queries don't filter on the key, all partitions get scanned, negating any benefit. PostgreSQL supports declarative partitioning since v10 with tools like pg_partman for automation; MySQL has native support with some constraints. Partitioning helps with query performance via partition pruning, faster data deletion (detach vs DELETE), and more manageable VACUUM operations. It does not solve write throughput scaling — that requires sharding. Monitoring should track per-partition row counts, pruning effectiveness via EXPLAIN, and maintenance timing.

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   Article

   Architecture Weekly·13w

   How I cheated on transactions

   Building a multi-database driver library (Dumbo) for Node.js revealed tradeoffs when supporting Cloudflare D1, which exposes databases via HTTP API and doesn't support traditional transactions. The solution uses D1's session-based repeatable reads and SQL batches to mimic transaction behavior, requiring explicit opt-in and accepting limitations like inability to rollback across multiple statements. This approach prioritizes API safety by making users acknowledge non-standard behavior while enabling practical use cases in event sourcing and document operations.

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   Article

   Phil Eaton·12w

   I started a software research company

   Phil Eaton, formerly a developer at EnterpriseDB working on PostgreSQL products, has left his job to launch The Consensus, an independent software research and analysis publication. The outlet aims to fill a gap between code-focused technical depth and broad tech journalism, covering databases, programming languages, web servers, and other infrastructure topics without vendor bias or VC influence. The publication is bootstrapped, relies on subscriber and sponsor support, and will feature paid contributions from experienced developers beyond just the founder.

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    Video

    YouTube·15w

    What Every .NET Developer Actually Needs to Know in 2026

    A fundamentals-focused roadmap for .NET developers covering core technologies rather than specific libraries. Key areas include mastering .NET 8/9/10 with ASP.NET Core (minimal APIs and controllers), dependency injection, authentication, and integration testing. Database skills should focus on SQL fundamentals using PostgreSQL or SQL Server, including data modeling, indexing, and query optimization. Messaging concepts (queues, topics, idempotency) are essential, with RabbitMQ, Azure Service Bus, or AWS SQS/SNS as implementation options. Cloud deployment skills on Azure or AWS with CI/CD using GitHub Actions are critical for standing out. AI tooling like Cursor or GitHub Copilot should be leveraged for productivity. Bonus recommendation includes learning React or Angular with TypeScript for full-stack capabilities.

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    Article

    Neon·15w

    How Zite Provisions Isolated Postgres Databases for Every User

    Zite built an app builder platform where every user gets their own isolated Postgres database. Initially using a shared RDS database, they faced noisy neighbor problems and scaling challenges. By switching to Neon's serverless Postgres, they provision thousands of dedicated databases daily using an API-first approach. Neon's instant provisioning, scale-to-zero capability, and usage-based pricing made per-customer database isolation economically viable without operational overhead.

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    Article

    Hacker News·15w

    Postgres Postmaster does not scale

    The postmaster process in PostgreSQL runs a single-threaded main loop that handles connection spawning, worker reaping, and parallel query workers. Under extreme load with high connection rates (1400+ connections/sec) and background worker churn, this single-threaded bottleneck can saturate a CPU core, causing 10-15 second delays in connection establishment. The issue was traced through profiling to expensive fork operations and compounded by parallel query workers. Solutions include enabling huge pages for 20% throughput improvement, adding connection jitter to reduce peak rates, and eliminating parallel query bursts. This architectural constraint explains why connection pooling tools are essential for scaled PostgreSQL deployments.

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    Article

    TechCrunch·12w

    India disrupts access to popular developer platform Supabase with blocking order

    India's government issued a blocking order on February 24 under Section 69A of the IT Act, disrupting access to Supabase — a popular open-source Firebase alternative — across major ISPs including JioFiber, Airtel, and ACT Fibernet. No reason was publicly given for the block. India is Supabase's fourth-largest market, accounting for ~9% of global traffic, with visits up 179% year-over-year. Developers in India reported inability to access the platform for both development and production use. Supabase suggested DNS changes or VPNs as workarounds but acknowledged these aren't practical for end users. The incident echoes India's 2014 temporary block of GitHub and raises broader concerns about the country's opaque website-blocking regime and its impact on the developer ecosystem.

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    Article

    Neon·13w

    Neon Is a Cursor Plugin

    Neon launched as a plugin for Cursor's new marketplace, enabling developers to provision, branch, and restore Postgres databases directly from their IDE. The plugin combines Neon's MCP Server for live access with structured workflows. Neon's serverless architecture offers instant database branching using copy-on-write storage, scale-to-zero compute, point-in-time restores without data copying, and a mature API designed for programmatic access. These features make database environments as disposable as git branches, ideal for testing migrations, reproducing bugs, and iterative development workflows.

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    Article

    InfoQ·14w

    OpenAI Scales Single Primary Postgresql to Millions of Queries per Second for ChatGPT

    OpenAI scaled a single-primary PostgreSQL instance to handle millions of queries per second for ChatGPT's 800 million users by deploying nearly 50 geo-distributed read replicas on Azure, optimizing query patterns, and offloading write-heavy workloads to sharded systems like Azure Cosmos DB. Key strategies included connection pooling with PgBouncer, reducing write pressure through application-level tuning, implementing cascading replication to reduce primary load, and isolating critical workloads to maintain low-latency performance under global traffic spikes.

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    Article

    RUBYLAND·12w

    Ruby 4 & Rails 8: A Multi-Front Acceleration of the Ruby Ecosystem

    Ruby and Rails are undergoing a coordinated multi-front evolution. Ruby 4 brings incremental VM improvements, maturing Ractors for real CPU-bound parallelism, pluggable garbage collectors for workload-specific memory management, and a leaner modular standard library. On the Rails side, Rails 8.1 introduces Solid Queue for database-backed background jobs (reducing Redis dependency), a built-in authentication generator, improved parallel gem resource management, and deeper PostgreSQL 18 integration. The author also highlights two new libraries—ruby-libgd and libgd-gis—that bring native graphics and GIS capabilities to Ruby. The piece concludes with a call for Western and LATAM developer communities to re-engage with Ruby's accelerating evolution.

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    Article

    PostgreSQL·15w

    Barman 3.17 Released

    Barman 3.17.0, an open-source backup and recovery tool for PostgreSQL, introduces operational flexibility for disabled servers, allowing read and recovery operations even when servers are inactive. The release adds S3 Object Lock support to prevent accidental deletion of protected objects, custom SSH port configuration for remote restores, and improved S3 compatibility. The custom compression option is now deprecated in favor of built-in algorithms like gzip, lz4, and zstd. Bug fixes include corrected delta restore logic, mount point safety improvements, and macOS compatibility fixes.

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    Article

    Netflix TechBlog·14w

    Automating RDS Postgres to Aurora Postgres Migration

    Netflix's Online Data Stores team automated the migration of nearly 400 RDS PostgreSQL clusters to Aurora PostgreSQL using a self-service workflow. The solution leverages Aurora read replicas for continuous replication, achieving ~10 minute downtime windows by coordinating traffic quiescence through their Data Access Layer proxy. Key technical challenges included enforcing zero data loss without database credentials, handling replication slot lag validation (the 0→64MB oscillation pattern), and managing CDC consumers through backfill. The workflow automates parameter group migration, security group manipulation for traffic control, and uses OldestReplicationSlotLag metrics to verify synchronization before promotion.

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    Article

    Ruby Flow·14w

    Rails Meets PostgreSQL 18

    PostgreSQL 18 introduces protocol 3.2 with extended cancel keys, removes UNLOGGED partitioned tables, and adds virtual generated columns. Rails 8.1 adapts through defensive adapter patches, requires pg gem ≥1.6 for compatibility, and adds support for virtual generated columns with `stored: false`. The pg_stat_statements extension receives improvements for better query profiling. Rails maintains forward compatibility through runtime capability detection rather than version ceilings, demonstrating mature ecosystem collaboration between PostgreSQL core, the pg gem, and Rails adapters.

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    Video

    DevOps Toolbox·15w

    I was using Postgres wrong this whole time

    TimescaleDB transforms PostgreSQL into a high-performance time-series database through an open-source extension. The tutorial demonstrates core features including hyper tables (automatic data chunking by time), compression with delta encoding, time buckets for aggregating data at various intervals, and continuous aggregates that incrementally refresh materialized views. These capabilities enable PostgreSQL to handle millions of data points per second with 90% better compression than specialized NoSQL tools, while maintaining familiar SQL syntax and compatibility with existing PostgreSQL extensions.

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