Leveraging Fully Managed Redis Datastores Using Google Cloud Memorystore
Boost your GCP web app performance with Cloud Memorystore! This fully managed Redis service provides fast caching for low latency and high performance.
Course Content
Leveraging Fully Managed Redis Datastores Using Google Cloud Memorystore is a beginner-level Pluralsight course taught by Vitthal Srinivasan. It runs 1h 31m, is taught in English, and includes a certificate of completion. It is a paid course, first published August 2024.
Leveraging Fully Managed Redis Datastores Using Google Cloud Memorystore
Unlock the power of Google Cloud Memorystore, a fully managed Redis service designed for speed and scalability. Benefit from low latency, often reaching sub-millisecond levels, thanks to its in-memory architecture. Memorystore is built on Google's highly scalable infrastructure, supporting instances up to 300 GB and impressive 12 Gbps network throughput.
Why Choose Memorystore?
- Easy Redis Migration: A seamless path for existing Redis users.
- Kubernetes Compatibility: Ideal for use within Docker containers running on Google Kubernetes Engine (GKE).
- Caching & Messaging: Learn to leverage Redis for efficient data caching to accelerate transactions and as a robust publisher-subscriber message delivery system.
- LRU Eviction Policies: Understand and utilize Memorystore's Least Recently Used (LRU) eviction policies for optimal data management.
Integration with GCP Compute Options:
This course covers practical implementation of Memorystore integrations with your applications hosted on:
- Compute Engine VMs
- App Engine
- Google Kubernetes Engine (GKE)
High Availability & Scalability:
Master configuring Memorystore for high availability. Choose between two tiers:
- Basic Tier: Cost-effective, but without cross-zone replication and failover.
- Standard Tier: Includes cross-zone replication and failover for enhanced reliability and significantly reduced downtime during scaling operations.
Monitoring with Stackdriver:
Learn how to effectively monitor your Redis instances using Stackdriver for proactive performance management.
By the end of this course, you'll be able to:
- Effectively cache data on the cloud using Memorystore.
- Seamlessly integrate managed Redis with your applications across various GCP compute options.
- Understand and configure high-availability settings for your Redis deployments.
- Optimize performance using Redis's features and LRU eviction policies.
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