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Oops, Momento ate 98% of my GCP Cloud Run and Firestore latencies!

Blog post from Momento

Post Details
Company
Date Published
Author
Ellery Addington-White
Word Count
1,272
Company Posts That Month
4
Language
English
Hacker News Points
-
Post removed?
No
Summary

Ellery Addington-White explores the integration of Momento Cache with Google Cloud Platform (GCP) to significantly reduce latencies in Cloud Run and Firestore, achieving a 98% reduction for /users and /cached-users endpoints and a 99.7% reduction for /followers and /cached-followers endpoints. The experiment involved setting up APIs to serve a social network app, where Firestore served as the NoSQL database alternative to AWS DynamoDB. Addington-White utilized Cloud Run for runtime due to its simplicity and future portability, and leveraged Google Cloud Metrics for monitoring, finding the GCP developer experience efficient and rewarding. By adjusting settings to align with AWS Lambda configurations, including CPU, memory, timeout, and container concurrency, he was able to achieve consistent sub-10ms response times and noted potential cost savings and enhanced scalability. The author encourages engineers using Firestore or GCP for unpredictable workloads to consider Momento for improved performance and cost-efficiency.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Serverless 8 1,089 132 66 +58%
Developer Experience 2 252 122 70 +5%
Kubernetes 2 1,477 166 63 +19%
Real-time 1 1,450 409 138 -20%
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