Skip to content

docs: updated blogpost title #161

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
yassin-berriai wants to merge 1 commit into
base: main
Choose a base branch
from
+3 −3
Open

docs: updated blogpost title #161

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions blog/componentized_deployment/index.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,10 +1,10 @@
---
slug: componentized-deployment
title: "One Slow Dashboard Query Shouldn't Take Down Your LLM Traffic"
title: "Announcing Componentized Deployments"
date: 2026-05-18T09:00:00
authors:
- yassin
description: "How LiteLLM's componentized deployment isolates the management/UI control plane from the LLM data plane — so a single expensive analytics query can't fail health checks and recycle the pods serving inference."
description: "How LiteLLM's componentized deployment isolates the management/UI control plane from the LLM data plane, improving reliability at scale."
tags: [performance, reliability, kubernetes, scaling, ai-gateway]
hide_table_of_contents: true
---
Expand All @@ -13,7 +13,7 @@ hide_table_of_contents: true

The LiteLLM proxy container does 2 very different things. It's an **LLM data plane**, `/chat/completions`, `/v1/messages`, embeddings, passthroughs, where latency is measured in single-digit milliseconds of overhead and traffic is high-volume and bursty. It's also a **management control plane** — keys, teams, SSO, audit logs, and the spend/usage analytics that power the dashboard, where a single request can scan millions of rows.

Run both on the same event loop, and the slowest thing the control plane does sets the reliability floor for the fastest thing the data plane does. This post is about why that coupling can cause outages, and the componentized deployment model that can help improve reliability at scale.
Run both on the same event loop, and the slowest thing the control plane does sets the reliability floor for the fastest thing the data plane does. This post is about how we've improved LiteLLM's reliability at scale by offering a componentized deployment model.

{/* truncate */}

Expand Down