Scale storage out with new Elastifile Cloud File Service for GCP
April 2, 2019Introducing Compute- and Memory-Optimized VMs for Google Compute Engine
April 2, 2019What’s new with Redis 4.0
Key features added in Redis version 4.0 include:
- Caching improvement. Redis introduced a least frequently used (LFU) algorithm, which can provide a more accurate estimation of caching usage than least recently used (LRU) caching.
- Active memory defragmentation. Redis can now defragment memory while online. This helps with actively reclaiming unused memory, which prevents unnecessary crashes.
We’ve also added a manual failover API to Cloud Memorystore so you can test its failover behavior. Before deploying applications in production using Cloud Memorystore, it’s important to test the behavior of the client and the application when a failover happens. With the new API, it’s easy to trigger a failover and observe the application behavior so you can plan accordingly for backup and restore purposes.
We exposed Redis metrics to Stackdriver in the previous release, so that you can easily debug Redis issues in your application. To make it easier to debug client-side issues, we’ve partnered with OpenCensus to automatically collect traces and metrics from your app. The traces and metrics are available in a variety of back-end monitoring tools, including Stackdriver, so you can get an even more detailed picture of Redis performance. You can learn more about Cloud Memorystore and OpenCensus in this video: