惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

H
Heimdal Security Blog
小众软件
小众软件
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
罗磊的独立博客
Google DeepMind News
Google DeepMind News
大猫的无限游戏
大猫的无限游戏
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Hugging Face - Blog
Hugging Face - Blog
阮一峰的网络日志
阮一峰的网络日志
A
About on SuperTechFans
宝玉的分享
宝玉的分享
博客园 - 聂微东
月光博客
月光博客
Cyberwarzone
Cyberwarzone
Microsoft Security Blog
Microsoft Security Blog
V
Visual Studio Blog
Project Zero
Project Zero
T
Tor Project blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
L
LINUX DO - 最新话题
博客园 - 叶小钗
Recent Commits to openclaw:main
Recent Commits to openclaw:main
Attack and Defense Labs
Attack and Defense Labs
Spread Privacy
Spread Privacy
Forbes - Security
Forbes - Security
Simon Willison's Weblog
Simon Willison's Weblog
N
Netflix TechBlog - Medium
P
Proofpoint News Feed
Engineering at Meta
Engineering at Meta
Hacker News: Ask HN
Hacker News: Ask HN
I
InfoQ
M
MIT News - Artificial intelligence
AI
AI
博客园 - 三生石上(FineUI控件)
W
WeLiveSecurity
C
Check Point Blog
The Hacker News
The Hacker News
C
Cyber Attacks, Cyber Crime and Cyber Security
Application and Cybersecurity Blog
Application and Cybersecurity Blog
T
Tenable Blog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
The Cloudflare Blog
Blog — PlanetScale
Blog — PlanetScale
美团技术团队
D
Darknet – Hacking Tools, Hacker News & Cyber Security
GbyAI
GbyAI
Hacker News - Newest:
Hacker News - Newest: "LLM"
腾讯CDC
K
Kaspersky official blog

Blog — PlanetScale

Keeping a Postgres queue healthy — PlanetScale Patterns for Postgres Traffic Control — PlanetScale Graceful degradation in Postgres — PlanetScale High memory usage in Postgres is good, actually — PlanetScale Stripe Projects partnership: Provision PlanetScale Postgres and MySQL databases from the Stripe CLI — PlanetScale Enhanced tagging in Postgres Query Insights — PlanetScale Behind the scenes: How Database Traffic Control works — PlanetScale Introducing Database Traffic Control — PlanetScale Scaling Postgres connections with PgBouncer — PlanetScale Drizzle joins PlanetScale — PlanetScale Video Conferencing with Postgres — PlanetScale Faster PlanetScale Postgres connections with Cloudflare Hyperdrive — PlanetScale Introducing the PlanetScale MCP server — PlanetScale Database Transactions — PlanetScale Automating our changelog with Cursor commands — PlanetScale Postgres 18 is now available — PlanetScale Using MotherDuck with PlanetScale — PlanetScale $50 PlanetScale Metal is GA for Postgres — PlanetScale AI-Powered Postgres index suggestions — PlanetScale $5 PlanetScale is live — PlanetScale Announcing Vitess 23 — PlanetScale $50 PlanetScale Metal — PlanetScale Report on our investigation of the 2025-10-20 incident in AWS us-east-1 — PlanetScale $5 PlanetScale — PlanetScale Benchmarking Postgres 17 vs 18 — PlanetScale Larger than RAM Vector Indexes for Relational Databases — PlanetScale Partnering with Cloudflare to bring you the fastest globally distributed applications — PlanetScale Processes and Threads — PlanetScale PlanetScale for Postgres is now GA — PlanetScale Postgres High Availability with CDC — PlanetScale Announcing Neki — PlanetScale Caching — PlanetScale The principles of extreme fault tolerance — PlanetScale Announcing PlanetScale for Postgres — PlanetScale Benchmarking Postgres — PlanetScale Announcing Vitess 22 — PlanetScale The Real Failure Rate of EBS — PlanetScale IO devices and latency — PlanetScale Announcing PlanetScale Metal — PlanetScale PlanetScale Metal: There’s no replacement for displacement — PlanetScale Upgrading Query Insights to Metal — PlanetScale Automating cherry-picks between OSS and private forks — PlanetScale Database Sharding — PlanetScale Anatomy of a Throttler, part 3 — PlanetScale Introducing sharding on PlanetScale with workflows — PlanetScale Announcing Vitess 21 — PlanetScale Announcing the PlanetScale vectors public beta — PlanetScale Anatomy of a Throttler, part 2 — PlanetScale Instant deploy requests — PlanetScale Anatomy of a Throttler, part 1 — PlanetScale Increase IOPS and throughput with sharding — PlanetScale Tracking index usage with Insights — PlanetScale Faster backups with sharding — PlanetScale Building data pipelines with Vitess — PlanetScale The State of Online Schema Migrations in MySQL — PlanetScale Optimizing aggregation in the Vitess query planner — PlanetScale Dealing with large tables — PlanetScale Announcing Vitess 20 — PlanetScale Self-managed Vitess vs Managed Vitess with PlanetScale — PlanetScale Achieving data consistency with the consistent lookup Vindex — PlanetScale The MySQL adaptive hash index — PlanetScale Introducing global replica credentials — PlanetScale Profiling memory usage in MySQL — PlanetScale Summer 2023: Fuzzing Vitess at PlanetScale — PlanetScale How PlanetScale makes schema changes — PlanetScale Identifying and profiling problematic MySQL queries — PlanetScale The Problem with Using a UUID Primary Key in MySQL — PlanetScale Announcing Vitess 19 — PlanetScale PlanetScale forever — PlanetScale Introducing schema recommendations — PlanetScale Amazon Aurora Pricing: The many surprising costs of running an Aurora database — PlanetScale Three common MySQL database design mistakes — PlanetScale OAuth applications are now available to everyone — PlanetScale Deprecating the Scaler plan — PlanetScale PlanetScale branching vs. Amazon Aurora blue/green deployments — PlanetScale Databases at scale — PlanetScale Considerations for building a database disaster recovery plan — PlanetScale Working with Geospatial Features in MySQL — PlanetScale PlanetScale vs Amazon Aurora replication — PlanetScale Introducing the Vantage and PlanetScale integration — PlanetScale MySQL isolation levels and how they work — PlanetScale Introducing the schemadiff command line tool — PlanetScale $ pscale ping — PlanetScale Announcing foreign key constraints support — PlanetScale The challenges of supporting foreign key constraints — PlanetScale What is HTAP? — PlanetScale Introducing Insights Anomalies — PlanetScale Webhook security: a hands-on guide — PlanetScale MySQL replication: Best practices and considerations — PlanetScale A guide to HTML email with Ruby on Rails and Tailwind CSS — PlanetScale Sharding for cost-effective database management — PlanetScale PlanetScale ranks 188th in Deloitte’s top 500 fastest-growing companies — PlanetScale Announcing the Fivetran integration — PlanetScale Introducing webhooks — PlanetScale What is MySQL replication and when should you use it? — PlanetScale Sync user data between Clerk and a PlanetScale MySQL database — PlanetScale Introducing database reports — PlanetScale Distributed caching systems and MySQL — PlanetScale What is MySQL partitioning? — PlanetScale MySQL High Availability: Connection handling and concurrency — PlanetScale
Announcing Vitess 14 — PlanetScale
Vitess Engineering Team · 2022-06-28 · via Blog — PlanetScale

Vitess Engineering Team |

We are pleased to announce the general availability of Vitess 14.

In this new release, major improvements have been made in several areas of Vitess, including usability and reliability:

  • Online DDL is now GA
  • Gen4 planner is the new default planner
  • VTAdmin and VTOrc are officially in beta with Vitess 14

Usability

Command-line syntax deprecation

This release marks the beginning of Vitess standardizing its command-line and flags syntax. Some former syntaxes have been deprecated and will break in the next release. For details, as well as migration instructions, please refer to the release notes.

VtctldServer and client

The new gRPC API for vtctld cluster management, VtctldServer, is ready for use. We are targeting Vitess 15 to begin deprecating the old interface, so users should begin transitioning now. Refer to the grpc-vtctld documentation for how to enable the new service.

Vitess 14 also provides a new vtctld client (vtctldclient) to correspond to the new gRPC server interface. After enabling the new service, users may begin using the new client for executing cluster management commands. Please refer to the client documentation for the list of available commands and their options. Both vtctldclient and the legacy vtctlclient provide shim mechanisms to use each other's CLI syntaxes to ease the transition, which is described in the transition documentation. Just as with the legacy service, we are targeting Vitess 15 to begin deprecating vtctlclient, so users should begin transitioning now.

VTAdmin

Vitess 14 includes the beta release of VTAdmin, the next generation of cluster management API and UIs for Vitess. VTAdmin provides a single control plane to manage multiple Vitess clusters and will replace the legacy VTCtld Web UI. We are targeting Vitess 15 for general availability, so we encourage users to try out VTAdmin and provide feedback in this release cycle. A guide on how to configure and run VTAdmin is available on the website.

Note that the new grpc-vtctld service is required for VTAdmin to make RPCs to the clusters you want to manage, so you must run your vtctld components with that service enabled.

Those interested in the details can read the original architecture RFC and join the #feat-vtadmin channel in the Vitess Slack.

GA announcements

Online DDL

Vitess-native and gh-ost-based online DDL functionality is now GA. pt-osc is still considered experimental, mainly because there has not been sufficient adoption or feedback from the community.

Online DDL has many other improvements in this release. Please refer to the release notes for details.

Query planner

The Vitess team started working on a new query planner two years ago for several reasons. This query planner, called Gen4, is the default in Vitess 14. It replaces the older query planner called V3. Please be sure to read the related section of the release notes if you want to learn more or switch back to V3. The new planner has enabled us to add support for many more queries. Some examples of new query support include UPDATE/INSERT from SELECT and cross-shard aggregation queries.

Reliability

VTOrc

VTOrc remains experimental in Vitess 14. In this release, the work to make VTOrc a first-class component of Vitess is taken a step further:

  • VTOrc now integrates cleanly with VTCtld and running cluster operations from VTCtld does not cause VTOrc to take unnecessary actions
  • Federation has been addressed in this release. It is now possible to run multiple instances of VTOrc watching the same set of keyspaces without them interfering with each other

The durability policy configuration has been refactored. Instead of being provided as command-line configuration, it is now stored in the topology server. Both VTOrc and VTCtld will read it from there and honor the provided durability policies.

Emergency Reparent Shard's capabilities have been augmented to now allow for more than one failure based on the durability policies set for the keyspace.

You can follow the progress of VTOrc by watching the original RFC and the durability RFC.

Performance

Our benchmarking system, arewefastyet, benchmarked this new version of Vitess. The comparison between v14.0.0 and v13.0.0 is available on the Vitess Benchmark page. We can observe a performance improvement of about 10%. This improvement mainly comes from the removal of internal SAVEPOINT query execution.

Please download Vitess 14 and try it out! Issues can be reported via GitHub.