ElasticSearch
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Learn Elasticsearch with a Comprehensive Beginner-Friendly Course
Search functionality is one of the most critical features of modern applications, whether you’re building websites, e-commerce platforms, or data-driven applications. But how do you create powerful and efficient search engines that can handle vast amounts of data and provide relevant results quickly? The answer lies in Elasticsearch, one of the most popular and flexible search engines available today. If you want to learn how to leverage Elasticsearch in your projects, this course is the perfect starting point! We just…
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Elasticsearch Query and Indexing Architecture
What Is Elasticsearch? Elasticsearch is a distributed, open-source search and analytics engine built atop the Apache Lucene library. Elasticsearch also offers vector search and retrieval augmented generation (RAG), supporting modern AI applications seamlessly. Applications can store structured and unstructured data in Elasticsearch, with or without a defined schema, by sending JSON payloads to an Elasticsearch cluster. Elasticsearch Architecture From the ground up, the main components of an Elasticsearch cluster are: Document A document is the smallest record of information stored…
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Optimizing Vector Search Performance With Elasticsearch
In an era characterized by an exponential increase in data generation, organizations must effectively leverage this wealth of information to maintain their competitive edge. Efficiently searching and analyzing customer data — such as identifying user preferences for movie recommendations or sentiment analysis — plays a crucial role in driving informed decision-making and enhancing user experiences. For instance, a streaming service can employ vector search to recommend films tailored to individual viewing histories and ratings, while a retail brand can analyze…
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How To Deploy the ELK Stack on Kubernetes
The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications. Logstash: a log-processing tool that collects logs from various sources, parses them, and sends them to Elasticsearch for storage and analysis. Kibana: A powerful visualization tool that allows you to explore and analyze the data stored in Elasticsearch using interactive charts, graphs, and dashboards. The…
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Uber\’s Success With Apache Pinot: Cost Savings and Performance Boost
For a company like Uber, real-time data is the lifeblood of both their customer-facing and internal services. Customers rely on real-time data to get rides and grab food at their convenience. Internal teams also depend on up-to-date data to power the infrastructure behind their customer-facing applications, such as for their in-house tool that monitors mobile app crash analytics. Uber migrated to Apache Pinot to power this in-house tool and experienced significant improvements compared to their previous analytics engine (Elasticsearch). By…
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Introduction to Elasticsearch
What Is Elasticsearch? Elasticsearch is a highly scalable and distributed search and analytics engine that is built on top of the Apache Lucene search library. It is designed to handle large volumes of structured, semi-structured, and unstructured data, making it well-suited for a wide range of use cases, including search engines, log analysis, e-commerce, and security analytics. Elasticsearch uses a distributed architecture that allows it to store and process large volumes of data across multiple nodes in a cluster. Data…
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CRUDing NoSQL Data With Quarkus, Part Two: Elasticsearch
In Part 1 of this series, we looked at MongoDB, one of the most reliable and robust document-oriented NoSQL databases. Here in Part 2, we’ll examine another quite unavoidable NoSQL database: Elasticsearch. More than just a popular and powerful open-source distributed NoSQL database, Elasticsearch is first of all a search and analytics engine. It is built on the top of Apache Lucene, the most famous search engine Java library, and is able to perform real-time search and analysis operations on…
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Building A Log Analytics Solution 10 Times More Cost-Effective Than Elasticsearch
Logs often take up the majority of a company’s data assets. Examples of logs include business logs (such as user activity logs) and Operation and Maintenance logs of servers, databases, and network or IoT devices. Logs are the guardian angel of business. On the one hand, they provide system risk alerts and help engineers quickly locate root causes in troubleshooting. On the other hand, if you zoom them out by time range, you might identify some helpful trends and patterns,…
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How Elasticsearch Works
Elasticsearch is a distributed, full-text search and analytics engine that allows you to store, search, and analyze large volumes of data quickly and in near real-time. In this Elasticsearch tutorial, you’ll get to know what is Elasticsearch, how Elasticsearch works, and how you can configure, install, and run it. Also, you’ll understand its benefits and what is Elasticseach used for. So, let’s begin. What Is ElasticSearch? Elasticsearch is an open-source search and analytics engine that allows you to store, search,…