Elasticsearch

Distributed Search & Analytics Infrastructure for Operational Systems

Elasticsearch is a distributed search and analytics platform used by organisations to index, search, analyse, and monitor large volumes of operational data across cloud, hybrid, and self-hosted environments. The platform supports full-text search, log analytics, observability, and real-time data processing for digital systems and applications.

Distributed Search & Analytics Infrastructure for Operational Systems

Data search and observability challenges for digital platforms

Challenge
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Many organisations manage growing volumes of structured and unstructured operational data across applications, databases, cloud infrastructure, and digital platforms.

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Traditional systems may make it difficult to search information quickly across large datasets, monitor distributed applications and infrastructure, analyse operational logs in real time, or generate visibility across fragmented systems and workflows.

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Organisations building digital services may also require scalable infrastructure for search, analytics, monitoring, and operational observability across cloud and hybrid environments.

Solution
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Tools like Elasticsearch help organisations index, search, and analyse operational data in real time through distributed search and analytics infrastructure.

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Elasticsearch supports full-text search, log analytics, observability, vector search, and operational monitoring across large-scale digital environments.

Key capabilities of Elasticsearch

Full-text & vector search

Search structured, unstructured, and vector-based data across applications and operational systems.

Real-time analytics

Analyse operational data, logs, and events in real time for monitoring and reporting workflows.

Log & observability infrastructure

Monitor applications, infrastructure, and distributed systems through log aggregation and observability tooling.

Distributed scalability

Support high-volume search and analytics workloads across cloud, hybrid, and self-hosted deployments.

Elasticsearch in Action

Myna Mahila Foundation

Myna Mahila Foundation

AI-ENABLED HEALTH SUPPORT

Myna Mahila Foundation used Elasticsearch as part of the ‘Myna Bolo’ multilingual AI-powered WhatsApp platform supporting sexual and reproductive health guidance for women in urban communities. Elasticsearch supported efficient retrieval of localised, doctor-vetted content within a broader Retrieval-Augmented Generation (RAG) architecture.

Read Full Case Study

Pricing for Nonprofits

Elastic Cloud Serverless

Managed deployment option for organisations requiring simplified operations and scalable search infrastructure.

  • Fully managed infrastructure
  • Usage-based scaling
  • Cloud-hosted deployment
  • Reduced infrastructure management overhead

Elastic Cloud Hosted

Hosted Elasticsearch deployments across major cloud providers including AWS, Azure, and Google Cloud.

  • Managed deployment environments
  • Multi-cloud infrastructure support
  • Operational monitoring tools
  • Hosted scalability options

Self-managed deployment

For organisations requiring infrastructure control, custom deployment architecture, or on-premise environments.

  • Self-hosted deployment
  • Infrastructure-level configuration control
  • Hybrid deployment flexibility
  • Custom operational environments

Best suited for which organisations?

Digital platforms & web applications

Organisations requiring scalable search, filtering, and operational analytics across digital services.

Monitoring & observability teams

Teams managing infrastructure monitoring, log analysis, and operational visibility workflows.

Data-intensive operational systems

Platforms handling large-scale logs, events, application telemetry, or distributed operational data.

Semantic search & retrieval applications

Teams building semantic search, retrieval systems, or AI-enabled operational workflows.

Frequently Asked Questions

What is Elasticsearch used for?

Elasticsearch is used for distributed search, operational analytics, log monitoring, observability, and real-time data processing workflows.

Does Elasticsearch support real-time analytics?

Yes. Elasticsearch supports real-time indexing, analytics, and operational monitoring across large-scale datasets.

Can Elasticsearch be deployed in the cloud?

Yes. Elasticsearch supports managed cloud, hybrid, and self-hosted deployment models.

Does Elasticsearch support AI-enabled search?

Elasticsearch supports vector search and retrieval workflows used in semantic search and AI-enabled applications.

What types of data can Elasticsearch manage?

Elasticsearch can index and analyse structured, unstructured, log, event, and vector-based operational data.

Want to learn more?

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