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oflox.com /1 week ago

Database Sharding vs Partitioning: Key Differences Explained!

This article provides a detailed guide to database sharding vs partitioning, how both approaches divide data, and how to choose ... Read more The post Database Sharding vs Partiti...

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oflox.com /1 week ago

What Is Database Sharding? A Complete Guide for Beginners!

This article provides a detailed guide to What Is Database Sharding, how it distributes data across database servers, and how ... Read more The post What Is Database Sharding? A C...

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cloud.google.com /4 weeks ago

AlloyDB delivers PostgreSQL for agents: Real-time data at agent scale, with full workload isolation

Enterprises rely on mission-critical operational databases where performance slowdowns simply aren’t an option. Yet when even a few agents execute dense reasoning loops, the unpred...

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cloud.google.com /4 weeks ago

A new, no-compromises database architecture for the agentic era

Entire database engineering careers have been spent on a single question: How do you scale an OLTP workload without compromising the system of record that owns the data? Exadata an...

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habr.com /1 month ago

GFM: децентрализованная альтернатива Patroni и etcd для PostgreSQL на базе P2P-меша с In-Memory управлением

Если вы когда-нибудь настраивали Patroni, то знаете это чувство: чтобы просто следить за одной базой, вам нужно построить вокруг неё целый город. Тут у нас etcd, там Consul, здесь...

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databricks.com /2 weeks ago

Load terabytes of data in minutes into Lakebase Postgres

Operational databases like Postgres are built to reliably execute highly concurrent...

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infoq.com /2 days ago

Article: Distributed Spring Batch Without a Message Broker

Distributed Spring Batch partitioning already needs a shared, persistent job repository. This article makes that database the whole coordination plane and drops the message broker,...

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cryptobriefing.com /4 weeks ago

Cloudflare’s Will Papper suggests Ethereum’s sharding design could enable scalable stablecoin payments

Cloudflare's adoption of Ethereum's sharding design for scalable stablecoin payments could revolutionize machine-to-machine transactions online. The post Cloudflare’s Will Papper s...

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aws.amazon.com /4 weeks ago

Megabytes in milliseconds: How FireTV uses parallel queries and vertical partitioning to serve millions of customers in...

How Amazon FireTV redesigned its Continue Watching watch-progress data model on Amazon DynamoDB with vertical partitioning and hash-prefixed sort keys for parallel reads, removing...

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habr.com /1 week ago

Как мы довели Postgres Pro до APDEX 0,986 на 30 000 пользователей 1С:ERP. Часть 3/3

Мы дошли до финала: 30 000 ВРМ, 4 NUMA-узла, сервер на 480 логических ядер и APDEX = 0,986 в конфигурации с асинхронной репликой. Но на последнем отрезке пути нас ждали сюрпризы. О...

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habr.com /1 week ago

Как мы довели Postgres Pro до APDEX 0,986 на 30 000 пользователей 1С:ERP. Часть 2/3

Тест упал на пятом часу, на переходе с 16 800 до 21 000 ВРМ. Потом запрос, который выполнялся меньше секунды, вдруг стал занимать десятки секунд. После этого отчёт вместо 5 секунд...

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databricks.com /1 month ago

Autoscaling Lakebase Postgres

Choosing a database instance size before you know the workload is an old building pattern...

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medium.com /5 days ago

Why Flat JSON Agent Memory Fails: Building a Copy-on-Write Multi-Agent Memory Mesh on FalkorDB

Replacing flat context bloat with sub-millisecond linear algebra graphs, air-gapped sandboxes, and deterministic Graph-PACC compaction (<…Continue reading on Medium »

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databricks.com /1 month ago

Improving Lakebase Postgres compute cache

The disaggregated storage model of Lakebase Postgres provides a feature rich, flexible...

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habr.com /1 month ago

Федерация двух кластеров через таблицу: сеть, пул ёмкости и WASM‑рантайм в ячейке

Привет, Хабр! Наши sheet-ербьюторы не спят и продолжают развивать экосистему даже утром в субботу, когда сон для усталых взрослых людей. Теперь к делу!Sheeternetes держит кластер к...

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habr.com /1 month ago

Собираем приватный RAG-стек на pgvector

Собираем приватный RAG-стек на pgvector, где документы, поиск и генерация ответа остаются внутри вашего VPS. Разберём схему стенда, embeddings, pgvector, локальную LLM, проверку пр...

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dzone.com /6 days ago

How to Contain Partial Failures in Distributed Systems

Distributed systems rarely fail as a single unit. More often, one dependency slows down, one shard becomes unavailable, one region loses capacity, or one pool saturates while neigh...

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databricks.com /1 month ago

Object Storage + WAL: Lakebase Postgres for the agentic era

Agents that interact with a traditional OLTP database often create bottlenecks at the storage layer. New deployments...

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dzone.com /1 month ago

RAG, Vector Databases, and MCP: Wiring Them Together for Production

Why This Combination Matters Most RAG tutorials stop at the same point: embed some documents, stuff them into a vector store, retrieve the top-k chunks, and paste them into a promp...

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dev.to /1 month ago

Ten Million Keys, One Missing Index

Open original cover image This article explores how a per-entity index improves Redis cache invalidation by replacing repeated full-keyspace scans with targeted lookups. All perf...

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aws.amazon.com /1 week ago

Modernizing document storage for search, scale, and agility

Storing extracted document data in a relational JSON or BLOB column works until you need search and scale. Learn how to recognize when document data has outgrown relational storage...

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medium.com /1 month ago

Shredstream UDP Forwarding Launches — Raw Solana Shreds to Your Own IP:port for €398/month Across…

gm!Continue reading on Medium »

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dev.to /1 month ago

Testing Risky Postgres Migrations Safely with Volume Cloning on Unikraft Cloud

Database migrations can pass every check in development and still take production down, and the classic example is adding a NOT NULL column with no default to a table that already...

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habr.com /1 month ago

Архитектура универсального провайдера баз данных на TypeScript без JDBC

В зрелых корпоративных экосистемах вроде Java или .NET инструменты для работы с базами данных опираются на стандартизированные на уровне среды выполнения интерфейсы (Service Provid...

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