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#databases

Concurrency vs. Throughput: why more parallelism can make databases slower

Lobsters Hottest · 2026-08-07 Cached

A PlanetScale engineering post analyzes a MySQL outage caused by a long-running transaction and high concurrency, explaining how parallelism can degrade throughput and how Vitess's transaction pool handled (and amplified) the issue.

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#databases

Massively Parallel Postgres Backups

Hacker News Top · 2026-07-31 Cached

PlanetScale describes how it performs massively parallel backups for sharded Postgres databases by spinning up per-shard EC2 instances, restoring prior backups from object storage, and replaying WAL, achieving petabyte-scale backup speeds over 50 GB/s.

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#databases

Do you need separate systems when you already have Postgres?

Hacker News Top · 2026-07-06 Cached

A comprehensive argument that PostgreSQL alone is sufficient for most application needs, including caching, search, job queues, and document storage, before reaching for additional specialized systems.

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#databases

Clickhouse is winning the Observability Wars

Lobsters Hottest · 2026-07-03 Cached

The article argues that ClickHouse has become the dominant database for observability due to its performance handling high-volume, time-ordered logs, solving long-standing log management challenges.

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#databases

@dSebastien: I run live dashboards over 20,000 notes in Obsidian. No spreadsheets, no manual updates. I change one property on a not…

X AI KOLs Timeline · 2026-06-26 Cached

A blog post demonstrating how to use Obsidian Bases to create live, self-updating dashboards from over 20,000 notes by treating the vault as a database and leveraging consistent metadata.

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#databases

@garrytan: For all the people who think you can just use a database for this, here is my essay on why you are just building a Foxc…

X AI KOLs Following · 2026-06-17 Cached

Garry Tan argues that using a database for AI agents is akin to building a Foxconn factory, implying it's insufficient for proper agent functionality.

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#databases

@BenjDicken: Beautiful introduction to Kubernetes. Without it, there are 100 complexities and edge cases to handle. With it, you hav…

X AI KOLs Timeline · 2026-06-16 Cached

A tweet highlights a beautiful introduction to Kubernetes and references Fatih Arslan's post on control theory and feedback loops for self-healing, resilient systems capable of scaling thousands of databases.

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#databases

@LearnWithBrij: MASTER SYSTEM DESIGN SYSTEM DESIGN MASTER TREE │ ├── 1. Fundamentals │ ├── What is System Design │ ├── Functional Requi…

X AI KOLs Timeline · 2026-06-03 Cached

A comprehensive system design master tree covering fundamentals through real-world applications, including architecture patterns, databases, caching, messaging systems, API design, and deployment strategies. Intended as a structured learning guide for software engineers.

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#databases

Equivalence of Unicode strings is strange (2016)

Lobsters Hottest · 2026-05-29 Cached

Unicode string equivalence is complex, especially with collations, leading to surprising results like deletion of control characters and non-deterministic grouping. The author discusses challenges in implementing proper Unicode support in database systems.

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#databases

@makisuo: Maple's service map automatically shows Databases your services are calling, with integrations for providers like Plane…

X AI KOLs Timeline · 2026-05-16 Cached

Maple's service map now automatically shows databases your services are calling, with upcoming integrations for Planetscale, Tinybird, and Clickhouse for more details.

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#databases

@sualehasif996: A conversation with @sirupsen on scaling Shopify, building turbopuffer, and the future of databases. 0:00 - Scaling Sho…

X AI KOLs Following · 2026-05-14

A conversation with Simon (sirupsen) about scaling Shopify, building turbopuffer, and the future of databases, covering engineering principles, AI coding, and hiring practices.

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#databases

SQL: Incorrect by Construction

Hacker News Top · 2026-05-12 Cached

The article analyzes inherent concurrency bugs in SQL, such as atomicity failures, TOCTOU issues, and deadlocks, using a money transfer example to demonstrate correct locking and transaction practices.

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#databases

@ryanlpeterman: Mike Stonebraker is a Turing award winner famous for his fundamental contributions to databases (e.g. Postgres, C-Store…

X AI KOLs Timeline · 2026-04-20 Cached

An interview with Turing Award winner Mike Stonebraker covering the origins of Postgres, its hardest technical challenges, and his disagreements in the database field.

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