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Aws Tutorials: FinOps – List of all Opensearch cost optimization strategies

Here’s a table summarizing cost optimization strategies for Amazon OpenSearch Service:

StrategyDescription
Right-Sizing InstancesChoose the appropriate instance type and size based on your workload requirements to avoid over-provisioning.
Auto-ScalingImplement auto-scaling to adjust the number of nodes based on demand, scaling up during peak times and down during low usage periods.
Reserved InstancesPurchase Reserved Instances for predictable workloads to benefit from significant cost savings compared to On-Demand pricing.
Hot/Warm ArchitectureUse a hot/warm architecture to separate frequently accessed data from less frequently accessed data, using cheaper instance types for warm nodes.
Spot InstancesUtilize Spot Instances for non-critical or batch processing workloads to take advantage of lower prices.
Index Lifecycle ManagementImplement policies to automatically delete or archive old indices to reduce storage costs and improve performance.
Optimize Storage TypesUse cost-effective storage options like General Purpose SSD (gp3) for frequently accessed data and Cold HDD (sc1) for infrequently accessed data.
Snapshot ManagementRegularly take snapshots and manage retention policies to minimize storage costs while ensuring data protection.
Monitoring and AlertsSet up monitoring with Amazon CloudWatch to track usage and performance metrics, and create alerts to identify underutilized resources.
Use Data CompressionEnable compression to reduce the amount of storage required for indices, lowering storage costs.
Leverage AWS Free TierTake advantage of the AWS Free Tier for testing and development purposes to avoid incurring costs on small-scale environments.
Evaluate Pricing PlansRegularly review AWS pricing plans and service updates to identify opportunities for cost savings through new offerings or discounts.
Consolidate WorkloadsConsolidate multiple workloads into a single cluster when possible to utilize resources more efficiently and reduce overhead.
Leverage CloudFormationUse AWS CloudFormation to automate the provisioning and scaling of OpenSearch domains, ensuring consistent and optimized configurations across environments.

These strategies can help you effectively manage and optimize the costs associated with running OpenSearch clusters on AWS. By implementing these practices, you can ensure your cluster is both cost-effective and performant.

Rajesh Kumar
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