Powerful Elasticsearch Search & Analytics
Unlock real-time search and analytics at scale. We deploy, optimize, and manage Elasticsearch clusters with ELK Stack integration for observability, security, and performance.
Core Capabilities
Distributed Search
Advanced sharding strategies, replica management, inverted indexes, and relevance scoring algorithms for lightning-fast full-text search across massive datasets.
ELK Stack Integration
Complete Elasticsearch, Logstash, Kibana, and Beats deployment for unified observability. Real-time log aggregation, metrics collection, and visualization.
Index Lifecycle Management
Hot-warm-cold architecture implementation with automated rollover policies, data tiering, and retention management to optimize storage costs.
Performance Optimization
Expert Query DSL tuning, aggregation optimization, search template implementation, and shard allocation strategies for maximum throughput.
Methodology
Discovery & Cluster Analysis
We analyze your current search requirements, data volume, query patterns, and infrastructure to design an optimal Elasticsearch architecture.
- Search Performance Audit
- Indexing Strategy Assessment
- Capacity Planning Analysis
ELK Stack Deployment
Full ELK Stack implementation with Elasticsearch cluster setup, Logstash pipelines, Kibana dashboards, and Beats agents for comprehensive observability.
- Multi-Node Cluster Configuration
- ILM Policy Implementation
- Security & Authentication Setup
Optimize & Monitor
Continuous 24/7 monitoring of cluster health, query performance, indexing rates, and resource utilization with proactive alerting.
- Real-Time Performance Monitoring
- Automated Scaling & Rebalancing
- Monthly Analytics Reports
Technical Specifications
| Feature | Standard Tier | Enterprise Tier |
|---|---|---|
| ES Versions | 7.x | 7.x, 8.x |
| Cluster Size | 3-5 Nodes | 6+ Nodes (Multi-AZ) |
| High Availability | Basic Replication | Cross-Cluster Replication |
| Security | Basic Auth + TLS | RBAC + Encryption + Audit Logs |
| Support SLA | 1 Hour Response | 15 Min Response |
Industry Success
Global Marketplace
Implemented product search for 100M+ items across 50+ countries with sub-50ms query response times and real-time inventory updates.
Enterprise SIEM Platform
Deployed security information and event management system processing 10TB+ daily logs with ML-powered threat detection.
Content Streaming Service
Built content recommendation engine using vector search and kNN algorithms, serving 50M+ personalized queries daily.
Ready to supercharge your search?
Schedule a free 30-minute technical discovery call with a Senior Elasticsearch Architect. No sales fluff, just engineering.
Advanced Elasticsearch Technologies
Elastic Stack (ELK)
Full Elasticsearch, Logstash, Kibana, and Beats integration for unified observability and search analytics.
- • Centralized logging
- • Real-time dashboards
- • Metrics & APM integration
Machine Learning
Built-in anomaly detection, forecasting, and outlier analysis powered by Elasticsearch ML capabilities.
- • Anomaly detection
- • Time series forecasting
- • Data frame analytics
App Search
Pre-built search UI components, relevance tuning tools, and analytics for rapid search application development.
- • Search UI components
- • Relevance tuning
- • Click analytics
Enterprise Security
Comprehensive RBAC, field-level encryption, audit logging, and IP filtering for enterprise-grade security.
- • Role-based access control
- • TLS/SSL encryption
- • Audit trail logging
Cross-Cluster Replication
Multi-datacenter synchronization for disaster recovery and geo-distributed search capabilities.
- • Active-passive replication
- • Disaster recovery
- • Geographic distribution
Snapshot & Restore
Automated backup integration with S3, Azure Blob Storage, and Google Cloud Storage for reliable data protection.
- • Cloud storage integration
- • Automated snapshots
- • Point-in-time recovery
Comprehensive Service Tiers
Essential
For small to medium workloads
- ✓Elasticsearch 7.x cluster
- ✓3-node cluster setup
- ✓Basic Kibana dashboards
- ✓Daily snapshots
- ✓Basic ILM policies
- ✓Business hours support
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MOST POPULAR
Professional
For production workloads
- ✓All Essential features plus:
- ✓Elasticsearch 7.x & 8.x support
- ✓Full ELK Stack integration
- ✓Advanced query optimization
- ✓Security & RBAC setup
- ✓24/7 monitoring & alerts
- ✓1-hour response SLA
Start Professional
Enterprise
Maximum scale & performance
- ✓All Professional features plus:
- ✓Multi-AZ cluster deployment
- ✓Cross-cluster replication
- ✓Machine Learning features
- ✓App Search integration
- ✓Advanced audit logging
- ✓15-min response SLA
- ✓Dedicated search architect
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Why Choose SubscribeIT for Elasticsearch?
Elasticsearch Specialists Engineers
Our team holds Elasticsearch Specialists Engineer and Analyst certifications with deep expertise in ELK Stack, distributed search, and observability solutions.
Proactive Cluster Monitoring
Real-time monitoring of cluster health, shard allocation, JVM metrics, and query performance to prevent degradation before users notice.
Security-First Architecture
Comprehensive security implementation with RBAC, TLS encryption, audit logging, and IP filtering to meet compliance requirements.
Query Performance Tuning
Expert optimization of Query DSL, aggregations, search templates, and mapping strategies to achieve sub-50ms search latency at scale.
Cost Optimization
Strategic ILM policies with hot-warm-cold architecture, data tiering, and compression techniques to reduce storage costs by 40-70%.
Multi-Cloud Expertise
Deploy and manage Elasticsearch across AWS, Azure, GCP, or on-premises with automated backup integration and disaster recovery.
Technology Stack & Integrations
We Work With Your Entire Search Ecosystem
Frequently Asked Questions
What Elasticsearch versions do you support?▼
We support Elasticsearch 6.x through the latest 8.x releases. Our primary focus is on Elasticsearch 7.x (stable) and 8.x (latest features). We can also manage legacy versions during migration planning to ensure smooth transitions.
How do you optimize search performance?▼
We employ multi-layered optimization: Query DSL tuning for efficient searches, proper mapping design with field types and analyzers, shard sizing and allocation strategies, search templates for common patterns, and aggressive caching strategies. Most clients see 3-5x performance improvements.
What’s included in ELK Stack integration?▼
Complete ELK Stack deployment includes: Elasticsearch cluster configuration, Logstash pipelines for data ingestion and transformation, Kibana dashboards and visualizations, Beats agents (Filebeat, Metricbeat, etc.) for data collection, and APM integration for application monitoring.
How do you handle data lifecycle management?▼
We implement comprehensive Index Lifecycle Management (ILM) policies with hot-warm-cold architecture. Hot nodes handle active indexing and search, warm nodes store read-only data with reduced resources, and cold nodes archive long-term data with minimal cost. Automated rollover policies ensure efficient resource utilization.
What backup and disaster recovery options are available?▼
We configure automated snapshot repositories to S3, Azure Blob Storage, or Google Cloud Storage with customizable retention policies. Cross-cluster replication enables multi-datacenter deployments for disaster recovery. All snapshots are tested regularly to ensure reliable recovery capabilities.
How do you secure Elasticsearch clusters?▼
We implement defense-in-depth security: TLS/SSL encryption for all communications, role-based access control (RBAC) with fine-grained permissions, field and document level security, audit logging for compliance tracking, and IP filtering. We maintain SOC 2 Type II certification and support HIPAA, PCI-DSS, and GDPR compliance requirements.