Discovering which services need to be optimised to reduce end-to-end latency in a microservices-based system can be challenging because call graphs may be too complicated to read. Uber described an open-source tool called CRISP built to solve this problem by finding the critical paths in these graphs. These paths identify those operations whose optimisation benefits the overall system. By Vasco Veloso
Discovering which services need to be optimised to reduce end-to-end latency in a microservices-based system can be challenging because call graphs may be too complicated to read. Uber described an open-source tool called CRISP built to solve this problem by finding the critical paths in these graphs. These paths identify those operations whose optimisation benefits the overall system.
By Vasco VelosoRead More
