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

Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
V
V2EX
大猫的无限游戏
大猫的无限游戏
腾讯CDC
博客园 - Franky
WordPress大学
WordPress大学
Jina AI
Jina AI
GbyAI
GbyAI
云风的 BLOG
云风的 BLOG
B
Blog RSS Feed
Last Week in AI
Last Week in AI
The Cloudflare Blog
V
Visual Studio Blog
P
Proofpoint News Feed
博客园 - 叶小钗
L
LangChain Blog
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
Recorded Future
Recorded Future
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
T
The Blog of Author Tim Ferriss
人人都是产品经理
人人都是产品经理
Y
Y Combinator Blog
罗磊的独立博客
雷峰网
雷峰网
博客园 - 【当耐特】
Microsoft Security Blog
Microsoft Security Blog
L
LINUX DO - 热门话题
Cisco Talos Blog
Cisco Talos Blog
L
Lohrmann on Cybersecurity
Martin Fowler
Martin Fowler
Spread Privacy
Spread Privacy
MongoDB | Blog
MongoDB | Blog
Engineering at Meta
Engineering at Meta
C
Cybersecurity and Infrastructure Security Agency CISA
小众软件
小众软件
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Recent Announcements
Recent Announcements
T
Threat Research - Cisco Blogs
Security Archives - TechRepublic
Security Archives - TechRepublic
量子位
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
宝玉的分享
宝玉的分享
D
DataBreaches.Net
T
The Exploit Database - CXSecurity.com
Vercel News
Vercel News
IT之家
IT之家
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
T
Troy Hunt's Blog
aimingoo的专栏
aimingoo的专栏

Lobsters

Lunacy | Red Vice CIFSwitch: a non-universal Linux local root vulnerability RIPE NCC session fixation: poaching logins with an Atlas probe GNOME 2.20 but its Web Components Agentic Search for Context Engineering – Leonie Monigatti Garnix is shutting down [not OC] akashina.tngl.sh/jjc Concerning Emacs (and Jazz) Nitpicking the shell history scene in ‘Tron: Legacy’ What's cooking on SourceHut? Q2 2026 The tenth OpenPGP email summit Package managers that package package managers Clojure on Fennel part three: parsing WordPress at 23 Finding Miscompiles for Fun, Not Profit GitHub - creusot-rs/creusot: Creusot helps you prove your Rust code is correct. Announcing Rust 1.96.0 | Rust Blog A Love Letter to Neovim sqlite AGENTS.md Am I a Bad Friend? CSS vs. JavaScript • Josh W. Comeau Erlang Ecosystem Foundation - Supporting the BEAM community A brief note about slot access cost in Common Lisp Keyboard latency probe Rethinking the GNOME clipboard issues Back to the Building Blocks’ Building Blocks Tech Notes: Theseus: translating win32 to wasm Fast is better than slow Content-addressed Rust builds (or, what kache actually caches) Intent to Prototype: Embedding API Canada’s Bill C-22 and the security cost of collecting more data 5 PostgreSQL locking behaviors that trip people up okmij.org Stop advertising in your commits! | AksDev GitHub - mplsllc/macsurf: A modern web browser for Classic Mac OS 9 PowerPC. Real CSS3, ES5 JavaScript, native HTTPS — built with CodeWarrior on the Carbon API. Introducing DoomBench - Can Your Data Stack Run DOOM? What are some of your favourite developer tools? Building a Scalable Ingestion Pipeline with Temporal (Part 1) Converting shallow Git bundles into normal repositories Are you a member of any professional associations? What is a harmonic? An interactive comic about additive synthesis How Virtual Tables Work in the Itanium C++ ABI Using SwiftUI to Build a Mac-assed App in 2026 Rust (and Slint) on a jailbroken Kindle. ~jack/lambda-on-lambda - Serverless Haskell on AWS - sourcehut git Human proof for FOSS contributions Extremely simple internet radio controlled via IRC Announcing BABLR Splitting Konsole views from Helix to run tools | AksDev GitHub - yugr/rust-slides Serving files over HTTP three ways: synchronous, epoll, and io_uring update docs with information about building with build.py (#979) · astral-sh/python-build-standalone@c9c40c5 A Simple Makefile Tutorial On C extensions, portability, and alternative compilers Switching to Colemak | Pedro Alves Just How Bad Was The Intel IAPX432? Nix's Substituter List Is Not a Routing Table Accelerating copy_if using SIMD Lambda on Lambda: Serverless Haskell on AWS | Blog Announcing feed-repeat v1.0 Scaling Akvorado BMP RIB with sharding EYG news: A host of CLI improvements, new guides and new effects The social contract of writing JS Crossword C array types are weird; and related topics Flatpak will depend on systemd – OSnews Migrating from Go to Rust | corrode Rust Consulting A portentous reunion Vivado Licensing Options How my minimal, memory-safe Go rsync steers clear of vulnerabilities the entropy layer of a wavelet codec, on its own GitHub - nferhat/fht-compositor: A dynamic tiling Wayland compositor. Debian SE Linux and PinTheft Does bulk memmove speed up std::remove_if? (No.) 声明式部分更新 | Blog | Chrome for Developers Fully in-browser container builds Dianne Skoll's Web Site - Remind The Architecture of Open Source Applications (Volume 1)Berkeley DB Pardon MIE? - ironPeak Blog Jira IS Turing-Complete May I recommend thinking of Emacs as your Fortress of Solitude hershey Floodgap Gopher-HTTP gateway gopher://thelambdalab.xyz/1cuneiforth/ HP QuickWeb, Singular And Pointless That one time I used Go panics for flow control A new suite of modern tools coming for editing and publishing RFCs From the Tabletop… The Digital Antiquarian Building a Host-Tuned GCC to Make GCC Compile Faster Are we self-sovereign PKI yet? Claw Patrol: an open-source security firewall for agents | Deno Revised^7 Report on Scheme, Large: Procedural Fascicle Draft is now public A Network Allow-List Won't Stop Exfiltration — André Graf From AFSK to Goertzel – µArt.cz Software For My New Home Server Introducing Neptune: Direct3D virtualization for QEMU AI Agent Bankrupted Their Operator While Trying to Scan DN42 - Lan Tian @ Blog mimalloc: A new, high-performance, scalable memory allocator for the modern era Making wl_shm fast The Soul of Maintaining a New Machine - Third Draft | Books in Progress What is Git made of?
“Long-Term Support” doesn’t mean what you think
Nate · 2026-05-24 · via Lobsters

My last post about good beginner-friendly KDE-focused operating systems sparked some discussions about the concept of “Long-Term Support” (LTS) releases.

But what does this term mean? It’s a bit generic-sounding, making it easy to interpret as meaning almost anything. So let’s go to the source: how the term is defined by the operating systems using it! Here are the non-commercial ones:

Debian Stable says:

Security updates are provided by Debian security team for three years. This generally means that each stable release is supported for its whole life plus an extra year (or so) after a new version of stable is released. In addition, further security support is provided by the LTS and LTS/Extended projects.

Ubuntu says:

LTS stands for long-term support — which means five years of free security and maintenance updates

Kubuntu says:

The latest Long Term Support (LTS) version of the Kubuntu operating system for desktop PCs and laptops, Kubuntu 26.04 [is] supported with security and maintenance updates, until April 2029.

(I didn’t include openSUSE Leap because its marketing material doesn’t use this term, though what it offers is fairly similar in practice)


So these operating systems are fairly consistent about what “Long-Term Support” means to them:

  • Each discrete OS release will continue receiving updates for a certain number of years.
  • Those updates will include fixes for security issues.
  • Those updates may include whatever “maintenance” means; Ubuntu & Kubuntu promise this, Debian doesn’t say.
  • Those updates will not include any new features, UI improvements, or other non-bug-fix releases from the software’s developers. That is to say, each piece of software is effectively locked to a specific version for the life of the release.

That’s it! So let’s look at what’s NOT promised:

  • Lack of bugs
  • Lack of crashes
  • Fixes for non-security issues
  • Personal support for issues you encounter
  • Support for newer hardware devices (Ubuntu offers “hardware enablement” kernels for desktop installs by default, but they come with no stated guarantees and don’t cover the parts of hardware support that go beyond the kernel)

That doesn’t mean an LTS release of Debian, Ubuntu, or Kubuntu will be devoid of these things. It just means they aren’t promised. Probably you’ll get a lot of them anyway, but there’s no guarantee.

I think this is where some of the persistent confusion around the LTS topic comes from.

LTS releases are fairly reliable as long as you use the most popular software from their included software repositories. So in the circumstances when this stops being the case, I think sometimes people can feel betrayed. They think, “I thought this was supposed to be stable! Why didn’t anyone fix this bug yet? Where’s my long-term support?”

But Debian, Ubuntu, and Kubuntu never promised any level of reliability or absence of bugs. They promised that the version-locked software in their repos would receive security fixes for a certain number of years. Ubuntu and Kubuntu also offered a certain amount of non-guaranteed best-effort hardware compatibility improvements and non-security bug fixes.

That’s it!

So it’s important to understand what you’re actually getting with an LTS-style OS. And maybe it’s not for you. There are plenty of other options for people with different desires:

I want newer software

If you’re a software developer or a technology enthusiast, you may want to get software on or closer to its developers’ release schedules. This will give you a stream of new features, UI improvements, and fixes for bugs. In this case, the better option is a rapidly-updating OS like Arch Linux, openSUSE Tumbleweed, Fedora KDE, or one of their children.

The trade-off here is that you may have to live with some things that are currently working getting broken after updating. In other words, the bugs are unstable, unlike in an LTS OS where the bugs are stable.

I personally fall into this group, which is why I use a rapidly-updating OS and not an LTS OS.

I want fewer bugs

I think a lot of people choose an LTS OS to experience fewer bugs, but this is generally not a strength of the LTS product. When an LTS OS freezes on a specific set of software, all the bugs in those versions of the software are frozen, too. Unless the LTS OS provider fixes any of those bugs themselves or backports fixes for them, users will be exposed to them for the lifetime of the release.

With a rapidly-updating OS, when software developers fix bugs in their software, you’ll get those bug-fixes quickly. As long as the software itself is becoming less buggy over time, a rapidly-updating OS shipping software close to its developers’ release schedules will likewise become less buggy over time.

It’s not all puppies and rainbows, though. A fast pace of change means more opportunities for those developers to accidentally introduce new bugs, and also for the introduction of integration issues: bugs caused by software being mis-configured or incompatible with other software. LTS OSs excel at minimizing integration issues between software, because a frozen set of software isn’t a moving target for QA testing.

So in a lot of ways, this choice boils down to whether you’re more bothered by software bugs or by integration issues.

I want better hardware support

If the manufacturer of your device didn’t provide much or any Linux software support for it, a rapidly-updating OS is likewise a better option here. You’ll quickly get all the components that improve hardware support, not just the parts in the kernel.

I want a true reliability guarantee

If time is money for you, this makes sense. And to get it, you’ll need to pay for a commercially-supported operating system. For example, Canonical offers “Ubuntu Pro” with a level of support that includes the following:

Build with confidence with 24/7/365 phone and ticket support. Get prompt help when something breaks on any of the packages in the Ubuntu Main and Universe repositories, including the most widely used open source applications and toolchains. Our 24/7 plans now include SLAs not only for initial response times, but also for ongoing follow-up updates ensuring continuous visibility and faster remediation throughout the lifecycle of your support case.

Wow! Now that’s support. It costs $300 per year for workstations (servers are over 5x as much).

Red Hat and SUSE offer similar services at similar prices.

And they aren’t cheap! But if time is money, those prices may look pretty reasonable. And you’ll get to talk to a perky and friendly person over the phone when you encounter a covered problem, and someone will to take direct responsibility for getting a fix delivered.

What about Flatpak and Snap?

In principle, these technologies allow an LTS-style OS to offer the best of both worlds: a stable base with apps updating more rapidly.

In practice, what you get is a mixing of both worlds. The base OS retains its LTS characteristics, while apps become rapidly-updating, giving you some exposure to breakage coming from new versions alongside more features, UI improvements, and fixes for existing bugs.


We’re spoiled for choice in our ecosystem, which means everyone can find a free software operating system that matches their needs and desires. But you have to know what those needs and desires are, and also successfully map them to the available options! Hopefully this blog post has helped explain what the LTS-style operating systems offer, and who should use them.