Learn how to configure your app profile to use multi-cluster routing for efficient and highly available Bigtable connectivity in Google Cloud. Optimize your application code with this expert-recommended solution.
Table of Contents
Question
Your team currently uses Bigtable as their database backend. In your application’s app profile, you notice that the connection to the Bigtable cluster is specified as single-cluster routing, and the cluster’s connection logic is configured to conduct manual failover when the cluster is unavailable. You want to optimize the application code to have more efficient and highly available Bigtable connectivity. What should you do?
A. Set up Memcached so that queries hit the cache layer first and automatically get data from Bigtable in the event of a cache miss.
B. Increase the Bigtable client’s connection pool size.
C. Configure a Dataflow template, and use a Beam connector to stream data changes.
D. Configure the app profile to use multi-cluster routing.
Answer
D. Configure the app profile to use multi-cluster routing.
Explanation
When working with Bigtable in Google Cloud, you can optimize your application code for more efficient and highly available connectivity by configuring the app profile to use multi-cluster routing. This feature allows your application to automatically route requests to the nearest available Bigtable cluster, ensuring low latency and high availability.
Multi-cluster routing enables your application to connect to multiple Bigtable clusters simultaneously, rather than relying on a single cluster with manual failover. With this setup, if one cluster becomes unavailable, the application will seamlessly route requests to another available cluster without any manual intervention or downtime.
To configure multi-cluster routing, you need to update your application’s app profile settings. Instead of using single-cluster routing with manual failover, you should select the multi-cluster routing option. This will allow your application to take advantage of Bigtable’s automatic failover capabilities and distribute the workload across multiple clusters.
By implementing multi-cluster routing, you can:
- Improve availability: Your application will be able to access data even if one of the Bigtable clusters becomes unavailable, ensuring continuous operation.
- Reduce latency: Requests will be automatically routed to the nearest available cluster, minimizing the distance between your application and the data, resulting in lower latency.
- Simplify failover management: With multi-cluster routing, you no longer need to manually handle failover scenarios, as Bigtable will automatically route requests to available clusters.
Other options, such as setting up Memcached (A), increasing the Bigtable client’s connection pool size (B), or configuring a Dataflow template with a Beam connector (C), do not directly address the requirement of optimizing Bigtable connectivity for high availability and efficiency.
In summary, configuring your app profile to use multi-cluster routing is the recommended approach to optimize your application code for efficient and highly available Bigtable connectivity in Google Cloud.
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