Content Deep Dive
How We Rebuilt Our Log Storage and Search Infrastructure for Scale
Blog post from Railway
Post Details
Company
Date Published
Author
-
Word Count
693
Company Posts That Month
Language
English
Hacker News Points
-
Post removed?
No
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Summary
We've rebuilt our log storage and search infrastructure for scale by replacing a polling-based system with a more scalable solution that uses Docker's syslog driver, Vector log aggregator, Google Cloud Storage, and Go micro-service using GRPC streams. The new system allows users to view logs for all historical deployments and filter logs by keyword in real-time, making it more efficient and scalable than the previous implementation.
Trends Found in this Post
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 3 | 951 | 285 | 97 | -5% |
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