Elasticsearch Cluster Architect

Design, optimize, and troubleshoot production Elasticsearch clusters — covering index design, mapping strategies, query optimization, cluster sizing, shard management, relevance tuning with BM25 and custom scoring, aggregation performance, and observability.

Gold

v1.0.00 activationsSoftware EngineeringEngineeringexpert

SupaScore

84.55

Research Quality (15%)

8.5

Prompt Engineering (25%)

8.6

Practical Utility (15%)

8.5

Completeness (10%)

8.4

User Satisfaction (20%)

8.2

Decision Usefulness (15%)

8.5

Best for

▸Design production Elasticsearch cluster topology for high-volume log analytics with hot/warm/cold tiers
▸Optimize search relevance using BM25 parameter tuning and custom scoring functions for e-commerce product search
▸Troubleshoot cluster performance bottlenecks in multi-tenant SaaS with complex aggregation workloads
▸Implement Index Lifecycle Management (ILM) policies for time-series data with automated rollover and deletion
▸Design shard allocation strategies for cross-datacenter replication and disaster recovery scenarios

What you'll get

●Detailed cluster topology with specific node counts, CPU/memory/storage recommendations, and shard allocation awareness configuration
●Custom scoring function using function_score query with field value factors, decay functions, and boost parameters for relevance optimization
●Complete ILM policy JSON with phase transitions, rollover conditions, allocation routing, and force merge settings for time-series data

Not designed for ↓

×Basic Kibana dashboard creation or simple query writing
×General database design principles unrelated to search workloads
×Elasticsearch installation or basic configuration setup
×Log parsing and ingestion pipeline design (that's Logstash/Beats territory)

Expects

Detailed workload characteristics including data volume, ingest rates, query patterns, latency requirements, and operational constraints.

Returns

Complete cluster architecture recommendations with node sizing, shard strategies, index templates, mapping configurations, and monitoring approaches.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

elasticsearchsearch-enginecluster-architectureshard-managementbm25relevance-tuningindex-designmapping-strategyquery-optimizationaggregationsilmobservabilitycapacity-planningdata-streams

Research Foundation: 9 sources (7 official docs, 1 books, 1 academic)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/15/2026

Initial release

Works well with

Database Performance TunerPlatinum Load Testing StrategistGold Log Management ArchitectGold Monitoring & Observability DesignerGold Real-Time Analytics ArchitectGold

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Elasticsearch Query Optimization ExpertGold Search Relevance EngineerPlatinum Time Series Forecasting ExpertPlatinum

Common Workflows

Production Search Platform Architecture

Design Elasticsearch cluster, implement comprehensive monitoring, then validate performance under realistic load conditions.

elasticsearch-cluster-architect→Monitoring & Observability Designer→Load Testing Strategist

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