(REAL TIME PROJECT)ELK STACK SET UP WITH LOGS MONITORING SETUP

Project-3(Real Time Project) ELK Stack DevOps Project | ELK Stack Tutorial | DevOps Shack aditya jaiswal Setting Up an ELK Stack with Filebeat for Application Monitoring and Visualizing We're diving into an ELK Stack setup, integrating Filebeat to streamline log collection and analysis. This setup will help us monitor how an application responds and performs in real time. What We’re Doing: Deploying Elasticsearch, Logstash, and Kibana Adding Filebeat for so to collect the logs and forward it to logstash Testing the setup by monitoring an application’s behavior This will give us deep insights into log data, making troubleshooting and analysis much smoother. Stay tuned for the results! lets deep dive here ELK stack is a popular open-source log and data analysis platform i.e combines with elastic search, logstash and kibana. Elastic Search: store and query the data. Logstash: It will filter, index and send logs to logstash. Kibana: visualize the data which was stored in Elasticsearch i.e data. Again another tool is configured that is filebeat which was installed in the application server where it will collect the data and transfer it to logstash. How It Works: Filebeat collects logs from different sources. Logstash processes and enriches the data before sending it to Elasticsearch. Elasticsearch indexes and stores the logs, making them searchable. Kibana provides dashboards and visualization for analysis. This stack is widely used for monitoring, troubleshooting, and security analysis in DevOps and cloud environments I just updated the ELK Stack setup as the Elasticsearch key was missing, ensuring a smooth configuration. Along with this, I’m sharing the updated document and a practical lab reference for better clarity. Fixed the missing key issue Attached the updated configuration document Included a practical lab for hands-on reference This should help in seamless deployment and troubleshooting. Let me know if you’ve encountered similar issues! Filebeat A huge shoutout to Aditya Jaiswal san for his incredible project guidance! Thanks to his informative content, I was able to complete this project seamlessly. Your contributions to the community are truly above and beyond. its the updated one for elastic search and filebeat. here's my github link for the project- https://github.com/devops-methodology/Boardgame to know more here's my linkedin link-follow on www.linkedin.com/in/devops-methodology-40b26b301 devops #cloud #monitoring #Aws

Mar 15, 2025 - 06:47

(REAL TIME PROJECT)ELK STACK SET UP WITH LOGS MONITORING SETUP

Project-3(Real Time Project)
ELK Stack DevOps Project | ELK Stack Tutorial | DevOps Shack aditya jaiswal
Setting Up an ELK Stack with Filebeat for Application Monitoring and Visualizing
We're diving into an ELK Stack setup, integrating Filebeat to streamline log collection and analysis. This setup will help us monitor how an application responds and performs in real time.
What We’re Doing:
Deploying Elasticsearch, Logstash, and Kibana
Adding Filebeat for so to collect the logs and forward it to logstash
Testing the setup by monitoring an application’s behavior
This will give us deep insights into log data, making troubleshooting and analysis much smoother. Stay tuned for the results!
lets deep dive
here ELK stack is a popular open-source log and data analysis platform i.e combines with elastic search, logstash and kibana.
Elastic Search: store and query the data.
Logstash: It will filter, index and send logs to logstash.
Kibana: visualize the data which was stored in Elasticsearch i.e data.
Again another tool is configured that is filebeat which was installed in the application server where it will collect the data and transfer it to logstash.
How It Works:
Filebeat collects logs from different sources.
Logstash processes and enriches the data before sending it to Elasticsearch.
Elasticsearch indexes and stores the logs, making them searchable.
Kibana provides dashboards and visualization for analysis.
This stack is widely used for monitoring, troubleshooting, and security analysis in DevOps and cloud environments

I just updated the ELK Stack setup as the Elasticsearch key was missing, ensuring a smooth configuration. Along with this, I’m sharing the updated document and a practical lab reference for better clarity.
Fixed the missing key issue
Attached the updated configuration document
Included a practical lab for hands-on reference
This should help in seamless deployment and troubleshooting. Let me know if you’ve encountered similar issues!

Filebeat

A huge shoutout to Aditya Jaiswal san for his incredible project guidance! Thanks to his informative content, I was able to complete this project seamlessly. Your contributions to the community are truly above and beyond.
its the updated one for elastic search and filebeat.
here's my github link for the project-

https://github.com/devops-methodology/Boardgame

to know more here's my linkedin link-follow on www.linkedin.com/in/devops-methodology-40b26b301

devops #cloud #monitoring

#Aws