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You are implementing the infrastructure for a web service on Google Cloud. The web service needs to receive and store the data from 500,000 requests per second. The data will be queried later in real time, based on exact matches of a known set of attributes. There will be periods where the web service will not receive any requests. The business wants to keep costs low. Which web service platform and database should you use for the application?
Suggested Answer: B
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26 comments · newest first
MI
Mirta
6 months ago
I agree with D. It balances cost and performance for the required load.
NI
Nina
6 months ago
D seems solid. Compute Engine can scale, and Cloud Bigtable is efficient for real-time queries.
TH
Thaddeus
6 months ago
I’m leaning towards A. BigQuery is great for analytics but might be costly.
GO
Goldie
6 months ago
I think option B is the best. Cloud Bigtable handles high throughput well.
AS
Asha
6 months ago
D seems too heavy for just querying exact matches, right?
RY
Ryan
6 months ago
I’m surprised they didn’t mention Firestore, it could work for this too!
BE
Bea
7 months ago
Wait, why not A? BigQuery can handle large datasets too.
RO
Royal
7 months ago
Totally agree with B, Cloud Bigtable is perfect for that!
TE
Teri
7 months ago
I think B is the best choice for high throughput.
CA
Camellia
7 months ago
Option B? Really? Cloud Bigtable? What is this, the 90s? I'm going with Option A, Cloud Run and BigQuery. Much more modern.
ME
Merlyn
7 months ago
Option C looks good to me. Compute Engine and BigQuery - can't go wrong with that combo for a high-volume web service.
BR
Brittni
8 months ago
Option A all the way! BigQuery is the perfect fit for handling all those requests and queries. Cloud Run is just the icing on the cake.
CO
Coletta
8 months ago
I'd go with Option D. Compute Engine autoscaling and Cloud Bigtable. Gotta love that real-time querying capability.
TA
Tamesha
8 months ago
Option B seems like the way to go. Cloud Run for the web service and Cloud Bigtable for the database. Keeps things scalable and cost-effective.
PA
Pamella
8 months ago
I’m leaning towards option B with Cloud Run and Cloud Bigtable, but I’m a bit uncertain if that combination would meet the real-time querying requirement effectively.
ME
Mel
9 months ago
I practiced a similar question where we had to choose between Compute Engine and Cloud Run, and I think the autoscaling feature of Compute Engine could be beneficial here.
LA
Lauran
9 months ago
I think Cloud Bigtable might be a good fit since it’s designed for high throughput and low latency, but I’m not completely confident about the cost implications.
FE
Fernanda
9 months ago
I remember that Cloud Run is great for handling variable workloads, but I'm not sure if it can handle 500,000 requests per second efficiently.
TI
Tijuana
9 months ago
This is a great question that really tests our understanding of Google Cloud services. I think I'll start by mapping out the key requirements and then systematically evaluate each option.
BE
Becky
9 months ago
I'm leaning towards option B - Cloud Run and Cloud Bigtable. The real-time querying on exact matches sounds like a good fit for Bigtable's capabilities.
MI
Miss
10 months ago
I'm a bit confused about the database choice. BigQuery and Cloud Bigtable both have their strengths, but I'll need to dig into the exact query requirements to decide which one is better.
SH
Shantell
10 months ago
Okay, let's see. 500,000 requests per second is a huge volume, so I'm thinking Cloud Run or a Compute Engine autoscaling group would be a good fit to handle that scale.
TI
Tiffiny
10 months ago
Hmm, this is a tough one. I'll need to carefully consider the requirements around high throughput, real-time querying, and cost-effectiveness.
LU
Luis
4 months ago
True, but BigQuery is great for real-time queries. It’s a tough balance!
TA
Tamekia
4 months ago
But what about the cost? BigQuery might be more expensive.
DA
Dannie
5 months ago
I think Cloud Run and Cloud Bigtable could handle the load well.