Remove ElasticSearch
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Managing Application Logs and Metrics With Elasticsearch and Kibana

DZone

That's where Elasticsearch and Kibana come in. Elasticsearch is a distributed, RESTful search and analytics engine that is designed to handle large volumes of data. Kibana, on the other hand, is an open-source data visualization and exploration tool that allows users to interact with data stored in Elasticsearch.

Metrics 141
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How to Optimize Elasticsearch for Better Search Performance

DZone

One of the top trending open-source data storage that responds to most of the use cases is Elasticsearch. Elasticsearch is a distributed data storage and search engine with fault-tolerance and high availability capabilities. To make the best use of its search feature, Elasticsearch needs to be configured properly.

Big Data 157
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From Elasticsearch to Apache Doris: Upgrading an Observability Platform

DZone

Observability platforms are akin to the immune system. Just like immune cells are everywhere in human bodies, an observability platform patrols every corner of your devices, components, and architectures, identifying any potential threats and proactively mitigating them.

Speed 265
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How To Deploy the ELK Stack on Kubernetes

DZone

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.

Analytics 255
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Content Discovery at Scale with Hexagons and Elasticsearch at DoorDash

InfoQ

DoorDash recently published an article on how it is solving scaling challenges with content discovery using Elasticsearch and H3, a geospatial indexing system that partitions the world into hexagonal cells. By Tanmay Deshpande.

Systems 52
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Log Analysis: Elasticsearch vs. Apache Doris

DZone

As a major part of a company's data asset, logs bring value to businesses in three aspects: system observability, cyber security, and data analysis. They are your first resort for troubleshooting, your reference for improving system security, and your data mine, where you can extract information that points to business growth.

Systems 100
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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

We build the data pipeline to persist the assets data in the iceberg in parallel with cassandra and elasticsearch DB. Elasticsearch version upgrade which includes backward incompatible changes, so all the assets data is read from the primary source of truth and reindexed again in the new indices.

Media 237