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

Опубликовано 10 апреля 2019, 23:47

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 → bit.ly/2TVAX11

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

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Speaker(s): Gopal Ashok, Karthi Thyagarajan

Session ID: DBS201
product:Cloud Memorystore for Redis,Cloud SQL; fullname:Gopal Ashok,Karthi Thyagarajan; event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - General; fullname: Gopal Ashok, Karthi Thyagarajan;