Performance Analysis

Proeduca Group

During an intensive month of work, application were instrumented to gather data with an APM: NewRelic.

The data gathered provided the evidences to identify the performance bottlenecks.

Query optimizations, index proposal and parametrization fine-tuning were applied to data servers.

Cache policies were suggested and implemented too using Redis.

A set of good practices where delivered to application developers to improve the scalability of the applications.

Finally a process for continuous improvement was setup with APMs to identify bottlenecks and potential problems for the applications in the production environment.

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