DEV Community

5 Production Stacks for Live Data Ingestion at Scale (Without Getting Blocked) (opens in new tab)

TL;DR: Most teams over-engineer data ingestion. They use Kafka before they’ve hit their first rate limit, or Playwright before they’ve checked the network tab. This guide shows five production-tested stacks for live data ingestion from minimal fetch + cron up to LLM agents calling Model Context Protocol (MCP) tools — with the specific failure mode each one solves. What You’ll Learn When a plain fetch loop with a cron job is truly all you need How an agent calling MCP tools adapts where other ...

Read the original article
Sign in to keep reading the full article.

Keyboard Shortcuts

Navigation

Next / previous post
j/k
Open post
oorEnter
Preview post
v

Post Actions

Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Save / unsave
s

Recommendations

Add interest / feed
Enter
Not interested
x

Go to

Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Discover
gb
Search
/

General

Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help