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A client is running an app on 20 Standard-2x dynos. They are noticing highly variable performance when the application is experiencing a heavy load.
Which two suggestions should an Architect make in this scenario? (Choose two.)
Suggested Answer: D, B
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26 comments · newest first
NO
Norah
3 months ago
Definitely! More dynos can reduce variability.
RY
Ryann
4 months ago
I think scaling up is crucial here.
RE
Rebbecca
4 months ago
Add more dynos to handle the load.
MI
Mirta
4 months ago
Increase dyno size to Standard-1x for better performance.
MO
Mozell
5 months ago
I think optimizing the app code should be a priority too.
DA
Daron
6 months ago
Wait, 20 dynos and still having issues? That's surprising!
GI
Gianna
6 months ago
Have they considered load balancing? That could be key.
JA
Jacklyn
6 months ago
Totally agree, more resources might smooth things out.
DI
Dino
6 months ago
Scaling up to larger dynos could help with performance.
ME
Mel
6 months ago
Upgrade to a more powerful database to support the heavy load.
NO
Noemi
6 months ago
Haha, just throw more servers at it! That always works, right?
GA
Gail
7 months ago
Upgrade to larger instance types for better performance.
BU
Bulah
7 months ago
Optimize the app's code to reduce resource consumption.
TH
Thurman
7 months ago
Increase the number of dynos to handle the heavy load.
AH
Ahmad
7 months ago
Could it be worth looking into optimizing the app's code? I feel like performance issues often stem from inefficient code, but I can't recall specific strategies.
TY
Ty
7 months ago
I remember a practice question about load balancing; perhaps suggesting a load balancer could help distribute traffic more evenly?
LE
Leatha
8 months ago
I'm not entirely sure, but maybe implementing caching could help reduce the load on the dynos during peak times?
CA
Carline
8 months ago
I think one suggestion could be to scale up the dynos or switch to a different dyno type for better performance under load.
GA
Gail
8 months ago
Okay, this looks straightforward. Scaling the dynos and load balancing are the two key things I'd recommend to the client. I'd also want to gather more information about the specific performance issues they're seeing.
CA
Catarina
9 months ago
Alright, I think I've got a handle on this. Scaling the dynos and load balancing are definitely the way to go. I'd also recommend profiling the application to identify any performance issues that could be causing the variability.
DE
Delsie
9 months ago
I'm a bit unsure about this one. Scaling the dynos and load balancing seem like reasonable suggestions, but I'm not sure if there are other factors I should be considering as well.
DA
Daren
9 months ago
Okay, let's see. Scaling the dynos and load balancing are good options. I'd also want to investigate the application code and infrastructure to see if there are any bottlenecks or inefficiencies we can address.
ZO
Zona
9 months ago
Hmm, this seems like a tricky one. I'd want to look into scaling the dynos up or down based on load, and maybe consider using a load balancer to distribute the traffic more evenly.
AU
Audry
3 months ago
Definitely need to monitor the load closely too!
GA
Garry
3 months ago
A load balancer could really help with traffic.
AR
Arminda
3 months ago
Scaling the dynos sounds smart!