Frequently Asked Questions

We work on a wide range of Elasticsearch projects including:

• New cluster design and deployment
• Performance optimization for existing clusters
• Query and aggregation optimization
• Index design and data modeling
• Elastic Observability implementation (APM, RUM, logging)
• Cluster migrations and upgrades
• High availability and disaster recovery setups
• Security hardening and compliance

Whether you're just starting with Elasticsearch or need to optimize an existing deployment, we can help.

Engagement duration varies based on project scope:

• Quick assessments: 1-2 weeks for performance reviews and recommendations
• Optimization projects: 2-8 weeks for query tuning, index optimization, and performance improvements
• Full implementations: 1-3 months for new cluster design, deployment, and configuration
• Ongoing support: Monthly retainer for maintenance, monitoring, and optimization

We offer flexible engagement models to fit your needs and timeline.

Yes! We have extensive experience with cloud-native Elasticsearch deployments:

• AWS: EC2-based clusters, Elasticsearch Service, OpenSearch
• Azure: Virtual machines, Azure Elasticsearch (deprecated), self-managed clusters
• GCP: Compute Engine, GKE (Kubernetes) deployments
• Hybrid: Multi-cloud and on-premises to cloud migrations

We can help you design, deploy, and optimize Elasticsearch clusters in any cloud environment, ensuring cost-effectiveness and optimal performance.

Performance improvements depend on your specific situation, but typical results include:

• Query latency: 50-80% reduction in average response times
• Indexing throughput: 2-5x increase in documents indexed per second
• Resource utilization: 30-50% reduction in CPU and memory usage
• Cost optimization: 20-40% reduction in infrastructure costs through right-sizing
• Scalability: Better handling of growing data volumes and query loads

We'll provide specific metrics and benchmarks based on your current performance baseline.

Absolutely! We specialize in safe, zero-downtime upgrades and migrations:

• Version upgrades (e.g., 7.x to 8.x)
• Cluster-to-cluster migrations
• Cloud migrations (on-premises to cloud, or between cloud providers)
• Index reindexing and data migration strategies
• Rolling upgrades with minimal service disruption
• Post-migration validation and optimization

We plan migrations carefully to minimize risk and ensure data integrity throughout the process.

Our cluster design approach is comprehensive and data-driven:

• Requirements analysis: Understanding your data volumes, query patterns, and growth projections
• Architecture design: Node types, shard allocation, index structure, and data distribution
• Capacity planning: Right-sizing nodes, storage, and network requirements
• High availability: Multi-node configurations, replica strategies, and disaster recovery
• Security: Authentication, authorization, encryption, and compliance considerations
• Monitoring: Built-in observability and alerting from day one

We design clusters that are optimized for your specific use case while remaining flexible for future growth.

Yes! We offer training and knowledge transfer as part of our consulting engagements:

• Operational training: Day-to-day cluster management, monitoring, and troubleshooting
• Query optimization: Best practices for writing efficient queries and aggregations
• Index design: Data modeling, mapping design, and index lifecycle management
• Performance tuning: How to identify and resolve performance bottlenecks
• Documentation: Custom runbooks and operational guides for your environment

We believe in empowering your team to manage and optimize your Elasticsearch infrastructure independently.

Getting started is easy:

1. Contact us: Fill out the form below or email us at cbrown@nosqlrevolution.com
2. Initial discussion: We'll schedule a call to understand your needs, challenges, and goals
3. Proposal: We'll provide a detailed proposal with scope, timeline, and investment
4. Kickoff: Once approved, we'll begin with a comprehensive assessment of your current setup

Most engagements start with a performance assessment or architecture review to identify opportunities for improvement.