Related Posts
Be no 1 in whatever you do
“We are just starting to develop; how can you expect us to... read more
The ultimate guide to making good decisions
Yash was very quiet today. He was engrossed in some deep thoughts... read more
Stock options for employee compensation
“Salary expectations are going above the roof. It has become difficult... read more
Voice AI for sports: Enhancing the fan experience with personalized insights and commentary
Voice AI revolutionizes the fan experience by offering personalized insights and... read more
What is Intelligence?
If intelligence is your ability to make decisions based on available... read more
Why you shouldn’t fall in love with your product?
“I am now all set with this amazing idea and I... read more
AI Integration: Data Engineering for Intelligent Insights
In today's data-driven world, organizations are constantly seeking ways to extract... read more
The importance of customer segmentation in business succession
The key criterion for any business to be successful is knowing... read more
Everything the product managers need to know about Scalability
It's been a good long vacation nearing year-end, family, celebrations, outing…... read more
The team was excited. The demo went well. Our platform was appreciated and they agreed to use it. Great news indeed!
“We will use it from next week. Will it hold well when all users log in on Monday morning?” A common concern, based on past experience.
The team had done a good job of understanding the scalability requirements, designed an architecture that will scale well. However, during the initial phase, everyone was focused on functionality. Performance was yet to be tested.
As I was reviewing, I found one thing missing – concurrency requirements.
How many users can be active at the same time?
How many requests will simultaneously reach the server?
This is an essential factor for capacity planning. Too less will mean dropped requests and too much will mean higher costs.
There is no correct answer. Concurrency keeps changing based on external events, time of the day, user behavior, etc. It can be predicted only with visibility into past data.
This is where instrumentation comes to help. Build desired counters in the system, record, monitor, and notify them regularly. Allow for the tuning of what to check, what to record, and what to notify. You are going to need regular monitoring and tweaking for the best efficiency.
Do you have the counters built in your product?