RousselTMLEARNING

TP · Logstash: from discovery to expertise

Logstash installation

Prerequisites #

You must have a Linux machine. If you do not have a machine or test environment, we invite you to do the lab on setting up the test environment.

Package manager #

In this lab, we will install Logstash using the package manager that corresponds to your distribution.

  1. Identify the distribution

    You must identify the machine's distribution with the different options available to you: file, command.

  2. Install Logstash

    In the previous section, you identified the machine's distribution. You must therefore proceed with its installation by following the procedure that corresponds to the distribution's package manager.

  3. Enable automatic startup

    In the previous section, you installed Logstash. In this section we will make sure that it is started and set in the services to start with the system.

Difficulty level : ●○○○○ (1/5)

My progress

  • ⏱ Estimated time : ≈ 21 min

Sign in to track your progress and take notes. Sign in

💬 Ask a question

Course Glossary

Logstash

An open-source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to...

Recommended Articles

Fluent Bit : parsers et filters, structurer et transformer les logs

Structurer et transformer les logs dans Fluent Bit : parsers (json, regex, logfmt, ltsv), parsers...

Fluent Bit : les outputs (sorties), routage et fiabilité de l'envoi

Envoyer les données de Fluent Bit : routage par Match et Match_Regex, sorties Loki, Elasticsearch...

Query DSL et agrégations avancées Elasticsearch, avec ES|QL

Écrire des requêtes Elasticsearch avancées : bool, filter et score, nested, function_score et per...

Fluent Bit : pipeline, configuration et plugins essentiels

Les concepts de Fluent Bit (inputs, parsers, filters, tags et match, buffer, outputs), la configu...

Grafana Alloy : Collecte et Transformation de Télémétrie

Apprenez à utiliser Grafana Alloy pour collecter, transformer et acheminer logs, métriques et tra...

Mappings et analyse de texte Elasticsearch : types de champs, analyseurs et mapping dynamique

Maîtriser les mappings Elasticsearch : types de champs (text, keyword, numériques, date, ip, nest...

Data streams et templates Elasticsearch : component templates, index templates et séries temporelles

Gérer les données horodatées avec les data streams : index templates et component templates, conv...

Monitoring et troubleshooting Elasticsearch : santé, shards non assignés, JVM, hot threads et slow logs

Diagnostiquer un cluster Elasticsearch : cluster health et CAT APIs, shards non assignés et alloc...

Automatisation et infrastructure as code pour Elasticsearch : API, Terraform, Ansible et CI/CD

Automatiser l'administration d'Elasticsearch : API REST et clients, fournisseur Terraform elastic...

Support us

♥ SUPPORT US

Support RousselTM Learning

Courses, articles, labs and certificates stay free with no intrusive ads. A voluntary contribution, of any amount you choose, pays for hosting, lab environments and new content.

Contribute with PayPal Any amount · card or PayPal accountLearn more
QR code PayPal
Or scan this QR code with your phone

Thank you, every contribution counts!