Description: The ELK Stack is a collection of three open-source tools: Elasticsearch, Logstash, and Kibana, used for centralized logging and log analysis. Elasticsearch is a distributed search and analytics engine that stores and indexes data, providing fast and scalable search capabilities. Logstash is a data processing pipeline that ingests, transforms, and sends data to Elasticsearch. Kibana is a data visualization and exploration platform that allows users to interact with the data stored in Elasticsearch, creating real-time dashboards, charts, and graphs.
Additional information: The ELK Stack is widely used for log management and analysis in various industries and organizations. It enables the collection, storage, and analysis of large volumes of log data from different sources, such as servers, applications, and network devices. By centralizing logs in Elasticsearch, it becomes easier to search, monitor, and gain insights from the data. Logstash provides a flexible and extensible platform for data ingestion, allowing users to parse, filter, and transform logs before sending them to Elasticsearch. Kibana complements Elasticsearch by providing a user-friendly interface to visualize and explore the data, enabling users to create custom dashboards and perform ad-hoc queries. The ELK Stack is highly scalable and can handle massive amounts of data, making it a powerful tool for log analysis and troubleshooting.
Example: An example of using the ELK Stack is in a web application environment. Logs generated by web servers, load balancers, and application servers can be collected by Logstash, which processes and sends them to Elasticsearch for indexing. Kibana can then be used to create real-time dashboards that display metrics such as response times, error rates, and user activity. This allows developers and system administrators to monitor the application's performance, identify issues, and troubleshoot effectively.
Publisher: Elastic
Source: https://www.elastic.co/what-is/elk-stack
LOST view: TVA-Observability and Monitoring Enablers [Motivation]
Identifier: http://data.europa.eu/dr8/egovera/ELKStackApplicationService
EIRA traceability: eira:DigitalSolutionApplicationService
EIRA concept: eira:SolutionBuildingBlock
Last modification: 2023-07-20
dct:identifier: http://data.europa.eu/dr8/egovera/ELKStackApplicationService
dct:title: ELK Stack Application Service
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eira:PURI | http://data.europa.eu/dr8/egovera/ELKStackApplicationService |
eira:ABB | eira:DigitalSolutionApplicationService |
dct:modified | 2023-07-20 |
dct:identifier | http://data.europa.eu/dr8/egovera/ELKStackApplicationService |
dct:title | ELK Stack Application Service |
dct:description | The ELK Stack is a collection of three open-source tools: Elasticsearch, Logstash, and Kibana, used for centralized logging and log analysis. Elasticsearch is a distributed search and analytics engine that stores and indexes data, providing fast and scalable search capabilities. Logstash is a data processing pipeline that ingests, transforms, and sends data to Elasticsearch. Kibana is a data visualization and exploration platform that allows users to interact with the data stored in Elasticsearch, creating real-time dashboards, charts, and graphs. |
skos:example | An example of using the ELK Stack is in a web application environment. Logs generated by web servers, load balancers, and application servers can be collected by Logstash, which processes and sends them to Elasticsearch for indexing. Kibana can then be used to create real-time dashboards that display metrics such as response times, error rates, and user activity. This allows developers and system administrators to monitor the application's performance, identify issues, and troubleshoot effectively. |
skos:note | The ELK Stack is widely used for log management and analysis in various industries and organizations. It enables the collection, storage, and analysis of large volumes of log data from different sources, such as servers, applications, and network devices. By centralizing logs in Elasticsearch, it becomes easier to search, monitor, and gain insights from the data. Logstash provides a flexible and extensible platform for data ingestion, allowing users to parse, filter, and transform logs before sending them to Elasticsearch. Kibana complements Elasticsearch by providing a user-friendly interface to visualize and explore the data, enabling users to create custom dashboards and perform ad-hoc queries. The ELK Stack is highly scalable and can handle massive amounts of data, making it a powerful tool for log analysis and troubleshooting. |
eira:concept | eira:SolutionBuildingBlock |
dct:publisher | Elastic |
dct:source | https://www.elastic.co/what-is/elk-stack |
eira:view | TVA-Observability and Monitoring Enablers [Motivation] |