Final answer:
The trade-offs when implementing Indexer clustering include increased maintenance complexity, higher infrastructure costs, enhanced data redundancy, and potentially improved performance with the caveat of possible data replication latency.
Step-by-step explanation:
When considering Indexer clustering, it's important to assess the trade-offs involved. This involves balancing several factors like performance, costs, and complexity. Here are a few key trade-offs to keep in mind:
- Maintenance Complexity: Establishing a clustered environment can make maintenance more difficult. You have multiple nodes to update, configure, and monitor.
- Infrastructure Costs: More hardware or cloud resources are required, leading to higher upfront and ongoing operational costs.
- Data Redundancy: While redundant data enhances system reliability and availability, it also consumes more storage space.
- Performance: Clustering can improve search and indexing performance due to distributed workloads but may introduce latency in data replication across nodes.
Overall, the decision to implement Indexer clustering should be influenced by the specific needs and constraints of your system, as well as the expertise available to manage the clustered environment.