Worried About Application Performance? Cache It! (Cloud Next '19)


In-memory caching is a common architectural pattern used to speed up application performance. As easy as it sounds, storing and accessing data from in-memory stores have challenges. How do you size your cache for the optimal cache-hit ratio? What APIs should I use to solve a specific use case? How do I troubleshoot when there is a latency problem? With Cloud Memorystore, we make it easy to deploy and operate an in-memory store that is fully compatible with Redis. In this session, you will learn how to effectively use Cloud Memorystore to speed up your application.

Build with Google Cloud → https://bit.ly/2TVAX11

Watch more:
Next ’19 Databases Sessions here → https://bit.ly/Next19Databases
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Speaker(s): Gopal Ashok, Karthi Thyagarajan

Session ID: DBS201
product:Cloud Memorystore for Redis,Cloud SQL; fullname:Gopal Ashok,Karthi Thyagarajan;


Duration: 42:10
Publisher: Google Cloud
You can watch this video also at the source.


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