Amazon OpenSearch Service provides secure, real-time search, monitoring, and analysis of business and operational data, Increases operational excellence by leveraging a managed, open-source solution, reducing the need for manual infrastructure management. Provides a secure data environment with built-in certifications, machine learning capabilities, and tools for detecting threats and visualizing data.

Key Features:

• Managed OpenSearch:
  • AWS handles software installation, upgrades, patching, scaling (up to 3 PB), and cross-region replication without downtime.
  • Includes OpenSearch Dashboards for visualizing log and trace data and integrating machine learning results for anomaly detection and relevance ranking.
• Security:
  • Supports high-security standards for authentication, authorization, encryption, auditing, and regulatory compliance.
  • Provides a secure network and data center architecture with certifications to safeguard data.
• Observability:
  • Enables comprehensive visibility into system performance through log analytics, metrics, and traces.
  • Facilitates efficient problem detection and resolution, improving application health and customer experience.
  • Supports interactive queries and high-speed data visualization.
• Cost-Conscious:
  • Offers scalable full-text search capabilities across different storage tiers (hot, UltraWarm, cold) to optimize cost.
  • All features are included without additional charges, helping manage growing analytics costs effectively.

How Amazon OpenSearch Works:

• Allows interactive log analytics, real-time application monitoring, website search, and more.
• Built on OpenSearch, an open-source, distributed search, and analytics suite derived from Elasticsearch.
• Supports multiple versions of Elasticsearch (1.5 to 7.10) and visualization tools like OpenSearch Dashboards and Kibana.

Use Cases:

• Monitor and Debug Applications and Infrastructure:
  • Store and analyze observability logs, metrics, and traces to gain visibility into system performance.
  • Automate alerts for underperformance and identify root causes of availability issues.
• Manage Security and Event Information (SIEM):
  • Centralizes and analyzes logs from various sources (AWS, on-premises, other clouds) for real-time threat detection and incident management.
• Enable Seamless, Personalized Search:
  • Provides fast, personalized search experiences within applications, websites, and data lake catalogs.
• Observability:
  • Enhances the ability to find and fix problems quickly, improve application health, and deliver better user experiences.

Additional Capabilities:

• Machine Learning Integration:
  • Incorporates machine learning for systematic threat detection and anomaly detection.
  • Provides visualization and alerting capabilities to react to system states dynamically.
• Ease of Management:
  • Focuses on analysis rather than infrastructure management, allowing teams to optimize time and resources for strategic work.
• High Adaptability and Scalability:
  • Supports high-volume data processing with tens of thousands of active customers and hundreds of thousands of clusters, handling trillions of requests per month.