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; event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - General; fullname: Gopal Ashok, Karthi Thyagarajan;
Видео Worried About Application Performance? Cache It! (Cloud Next '19) канала Google Cloud Tech
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; event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - General; fullname: Gopal Ashok, Karthi Thyagarajan;
Видео Worried About Application Performance? Cache It! (Cloud Next '19) канала Google Cloud Tech
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