Elasticsearch Consulting and Support

Elasticsearch Consulting and Support

We're the world's leading Elasticsearch experts with over servaral years of experience, providing end-to-end consultancy, development, and support services for Elasticsearch, OpenSearch, and the Elastic Stack.

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Elasticsearch

  • Health Check
  • Review, Analyze, Recommend, and Improve
    • · Best practices
    • · Architecture and design
    • · Setup and configuration
    • · Data modeling
    • · Pipeline/ingestion
    • · Visualizations/dashboards
  • Development
  • Index design and development
  • Connector Design development
  • API, Query development
  • Implement features like typeahead, faceting , sorting , multilingual search , etc
  • Deployment
  • Set up implement ELK Stack

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Nextbrick’s Offerings In The Search Space

  • Browse and search, content spotlighting and relevancy ranking
  • Unified information integration and contextual integration of structured and unstructured content
  • Clustering, classification, entity extraction, aggregate structured and unstructured content
  • Employee engagement dashboard and contextual employee information
  • Customer service dashboard and improve CSR productivity
  • BI on structured and unstructured data, sentiment analysis, control and executive dashboards
  • Regulatory compliance to records management and e-discovery
  • Relationship mining, semantic processing and contextual information integration

What We Do

Indexing Development

Make application stable with increased speed of indexing and removing latency of bringing data into elastic search. Create domain & problem specific optimized index creation.

Indexing Development
Relevancy Tuning

Relevancy Tuning

Relevancy Tuning will help your users in getting desired results as fast as possible with fewer clicks or words. This will enable you in evaluating how good the current search is.

API Development

Provide fast, scalable, robust API endpoints, which connect UI to Elastic search queries. Close development of API endpoints and queries will help in avoid many integration bugs.

API Development
Performance Tuning

Performance Tuning

Performance Tuning will help in understanding the health of the machines, health of the cluster. Improving those will improve the overall experience of end users.

Elasticsearch Solutions

Indexing

Indexing

  • Data stored in Lucene Inverted Index format
  • Easy to replicate the index from one node to another
  • Advance concepts like Field cache helps in making the aggregation and sorting faster
  • More flexibility in terms of managing the indices like creating indices based on dates, categories etc.
Schema & Mapping

Schema & Mapping

  • Elasticsearch is “schema-less” by nature - “Configure only when you really need to”
  • Dynamic Mapping- Automatically apply generic mapping definitions to types which do not have mappings predefined.
  • While indexing any “unseen” document, a mapping is dynamically created for it
  • Dynamically elastic stores both versions of data
Relevancy

Relevancy

  • Boosting the rank of document from query side as well as during indexing time
  • Proximity for relevance-we can get the results by setting the proximity in our query (For ex: minimum_should_match = 30%).
  • While indexing any “unseen” document, a mapping is dynamically created for it
  • N-Gram Partial Matching functionality for getting the relevant results by providing the length
Percolator

Percolator

  • Used for alerting , monitoring and document filtering based on the queries
  • The percolator and most of its features work in real-time, so once a percolate query is indexed it can immediately be used in the percolate API.
  • Percolator can also help in auto tagging documents as they are getting indexed which might help in creating better navigation and user experience.
Sizing and Performance

Sizing and Performance

  • OOTB clustering is simple, two instances with same cluster name and in the same network will automatically connect.
  • Support for AWS discovery if on AWS system.
  • Can be configured to perform Unicast and multicast discovery.
Snapshot and Restore

Snapshot and Restore

  • ES provides different ways to get backup of indices as FS, AWS, HDFS.
  • The snapshot process is get executed without blocking index.
  • The snapshot process is incremental.

Elasticsearch Reviews

"Nextbrick was able to quickly understand our Solr search requirements and provided a comprehensive solution for us. Ordinarily, having a third party provide development services with our e-commerce platform can be a challenge, but they easily managed our environment and seamlessly collaborated with our website partner. Overall, I was very pleased with their value."

– Digital Marketing Manager
Leading Ecommerce Hardware Company

"As I stated, we have a group of contractors from Nextbrick who we would like to reward for going above and beyond the call of duty and putting in extremely hard work in launching a successful summer release here at CSAA. We would like to reward the team."

– Virginia Weatherby eBusiness
AAA Northern California, Nevada & Utah

"Just want to take this opportunity to thank you guys for the great job done! The core idea behind this project was to show that ES can truly be used for real time updates and how quickly we can model the data across complex tables in our source system. Your work is definitely commendable. Also, the demo was seamless and very clearly articulated."

– Sr Elasticsearch Architect Lead
Fortune 500 Hardware Manufacturing Company

Our Clients

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