Elasticsearch Cluster Management

Cluster Setup and Configuration: Design, set up, and configure Elasticsearch clusters for optimal performance, including cluster state recovery, shard management, and replica allocation.

Cross-Cluster Search: Implement and manage Cross-Cluster Search and data clusters to enable seamless querying across multiple clusters.

Cluster Health Monitoring: Monitor Elasticsearch cluster health and performance, ensuring high availability and scalability through regular backups and disaster recovery planning.

Cluster Scaling: Manage and maintain self-hosted Elasticsearch clusters, including scaling clusters to handle large datasets and high query volumes.

Data Ingestion and Processing

Logstash Pipelines: Develop and manage Logstash pipelines to ingest data from various sources, transform it, and store it in Elasticsearch, ensuring efficient data processing.

Data Handling: Optimize the handling of large datasets (e.g., 3 billion+ records) with complex indexing and data modeling to ensure accurate and efficient data retrieval.

Search and Analytics Optimization

Query Optimization: Develop and optimize complex Elasticsearch queries to improve data retrieval and analysis efficiency.

Performance Tuning: Monitor and tune Elasticsearch performance, focusing on memory allocation, data flow, and query optimization for high-performance search operations.

Advanced Search Features: Implement and manage Elasticsearch search features, including aggregations, nested documents, and custom search types.

Security and Compliance

Security Implementation: Implement security best practices within Elasticsearch, including TLS, RBAC, and encryption to comply with organizational standards.

User Authentication and Authorization: Manage Elasticsearch security settings, including authentication, authorization, and encryption to ensure data protection and compliance.

Version Management and Upgrades

Software Upgrades: Manage Elasticsearch version upgrades and patching, ensuring minimal downtime and smooth transitions between versions.

Plugin Management: Upgrade and manage Elasticsearch plugins to enhance functionality and maintain system compatibility.

Custom Solutions and Integration

Custom Elastic Solutions: Design and implement custom Elasticsearch solutions tailored to specific business needs, including search index building and cross-index operations.

Integration with Other Tools: Integrate Elasticsearch with other observability tools, such as Kibana and Logstash, to create comprehensive monitoring and analytics solutions.

Support and Troubleshooting

Technical Support: Provide level 3 technical support for Elasticsearch, analyzing and resolving complex issues to ensure minimal downtime.

Troubleshooting Expertise: Troubleshoot Elasticsearch-related issues, including search performance problems, data inconsistencies, and cluster instability.

Documentation and Best Practices

Process Documentation: Develop and maintain detailed documentation for Elasticsearch processes, configurations, and best practices to ensure knowledge transfer and system maintainability.

Training and Knowledge Sharing: Provide training and support to internal teams on Elasticsearch usage, best practices, and troubleshooting techniques.