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I applied via Naukri.com and was interviewed before Apr 2022. There were 3 interview rounds.
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posted on 15 Oct 2021
I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.
I applied via Recruitment Consultant and was interviewed before Aug 2020. There was 1 interview round.
Integrating monitoring services and deciding third party services based on weightage
Identify key performance indicators (KPIs) for monitoring
Evaluate potential third party services based on KPIs and other factors such as cost and reliability
Assign weightage to each factor based on its importance
Use a scoring system to rank and compare different third party services
Continuously monitor and reassess the performance of th
To design a database with high realtime write operations, consider sharding, indexing, and optimizing queries.
Use sharding to distribute data across multiple servers
Create indexes on frequently queried fields
Optimize queries to reduce write time
Consider using a NoSQL database for faster writes
Use a caching layer to reduce database load
posted on 15 Oct 2021
I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.
I applied via Recruitment Consultant and was interviewed before Aug 2020. There was 1 interview round.
Integrating monitoring services and deciding third party services based on weightage
Identify key performance indicators (KPIs) for monitoring
Evaluate potential third party services based on KPIs and other factors such as cost and reliability
Assign weightage to each factor based on its importance
Use a scoring system to rank and compare different third party services
Continuously monitor and reassess the performance of th
To design a database with high realtime write operations, consider sharding, indexing, and optimizing queries.
Use sharding to distribute data across multiple servers
Create indexes on frequently queried fields
Optimize queries to reduce write time
Consider using a NoSQL database for faster writes
Use a caching layer to reduce database load
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