Solution ideas
This article describes a solution idea. Your cloud architect can use this guidance to help visualize the major components for a typical implementation of this architecture. Use this article as a starting point to design a well-architected solution that aligns with your workload's specific requirements.
Elastic Enterprise Search streamlines the search process for searches of all types of work documents, increasing user productivity.
Architecture
Download a Visio file of this architecture.
Dataflow
- Content: Enterprise Search automatically captures, syncs, and indexes the content and key info for all your content sources.
- Ingestion: Enterprise Search uses out-of-the-box connectors to ingest data from many different content sources, such as OneDrive, SharePoint, and GitHub. You can also use custom API sources to build your own connectors. Such connectors make it possible for you to create unique content repositories and send data to Enterprise Search via uniquely identifiable endpoints.
- Relevance: Go beyond global relevance tuning by adjusting relevance on a per-team and per-user basis. You can fine-tune results to ensure that every team in your company has the search engine that it needs to be successful.
- Consumption: Users can find the information that they need by using the Enterprise Search dashboard, or a web browser application, or a custom search.
Components
The architecture components depend on your deployment choice: Elastic Cloud managed service, Elastic Cloud on Linux VMs, or Elastic Cloud on Kubernetes on Azure Kubernetes Service (AKS).
- Azure App Service is a fully managed service for building, deploying, and scaling web apps. You can build apps by using .NET, .NET Core, Node.js, Java, Python, or PHP. Apps can run in containers or on Windows or Linux.
- AKS is a fully managed Kubernetes service for deploying and managing containerized applications.
- Azure Load Balancer is a layer 4 (TCP, UDP) load balancer.
- Linux virtual machines in Azure are on-demand, scalable Linux computing resources that give you the flexibility of virtualization, but eliminate the maintenance demands of physical hardware. The VMs are an on-demand and scalable resource.
- Azure Storage is a set of massively scalable and secure cloud services for data, apps, and workloads. It includes Azure Files, Azure Table Storage, and Azure Queue Storage. Azure Files is often an effective tool for migrating mainframe workloads.
- Azure Virtual Network provides secure private networks in the cloud. It connects VMs to one another, to the internet, and to on-premises networks.
Scenario details
Elastic Enterprise Search helps Azure users optimize productivity by simplifying the process of searching through documents and data. It centralizes content that's on diverse platforms into a single, customizable search experience. Enterprise Search is compatible with various work platforms, including OneDrive and SharePoint. Automated keyword detection is user-friendly, and role-based permissions fortify security by enforcing access restrictions. Automated filtering eliminates the need for box checking and manual search processes. Azure users can deploy Enterprise Search on Elastic Cloud or download and manage it independently.
Potential use cases
- Deploy Enterprise Search within employee portals and intranet, help desks, customer support apps, CRMs, and other systems to give your teams a single search experience across all their content sources.
- Use the same infrastructure for Elastic App Search: Advanced Search Made Simple.
Contributors
This article is maintained by Microsoft. It was originally written by the following contributors.
Principal author:
- Michael Yen-Chi Ho | Senior Program Manager
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Next steps
Elastic on Azure:
- Elastic Cloud (Elasticsearch Service) on Azure Marketplace
- QuickStart: Get started with Elastic
- Mr. Turing accelerates cognitive search, extends Elasticsearch with Azure
Elastic site: