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ELK Stack monitoring and logging dashboards

Why Choose This Project?

Modern applications generate massive amounts of logs and metrics across servers, containers, and services. Without a centralized system, debugging and performance monitoring become chaotic. The ELK Stack (Elasticsearch, Logstash, Kibana) provides a centralized, real-time, and scalable logging solution. It helps developers, DevOps teams, and security analysts to visualize, search, and analyze logs efficiently.

What You Get

  • Centralized logging system for applications, servers, and containers.

  • Real-time dashboards to visualize logs and metrics.

  • Improved issue detection, debugging, and performance monitoring.

  • Enhanced security monitoring & anomaly detection.

Key Features

Feature Description
Log Aggregation Collect logs from multiple sources (apps, containers, servers).
Real-Time Analytics Monitor logs & metrics instantly in Kibana.
Custom Dashboards Build dashboards for performance, errors, and usage patterns.
Search & Filtering Full-text search with Elasticsearch for quick debugging.
Alerting & Notifications Trigger alerts when thresholds are exceeded (via ElastAlert or Watcher).
Scalability Handle high volumes of logs in distributed environments.
Security Monitoring Detect suspicious activities (failed logins, unusual traffic).

Technology Stack

Data Collection Layer

  • Logstash / Filebeat – Collect logs from servers, apps, containers

  • Beats Agents (Filebeat, Metricbeat, Packetbeat)

Data Storage & Search Layer

  • Elasticsearch – Stores and indexes logs

Visualization Layer

  • Kibana – Dashboards and visualizations

Optional Tools

  • ElastAlert / AlertManager – Alerting

  • Grafana – Alternative dashboards

Cloud Services Used (if deployed on cloud)

  • AWS → Amazon OpenSearch Service (managed Elasticsearch), CloudWatch logs ingestion

  • Azure → Azure Monitor with Log Analytics + ELK integration

  • GCP → Google Cloud Logging + Elastic Cloud

Working Flow

  1. Applications, servers, and containers generate logs.

  2. Filebeat/Logstash collects logs and ships them to Elasticsearch.

  3. Elasticsearch indexes logs for fast searching and querying.

  4. Kibana visualizes data in real-time dashboards (errors, usage, performance).

  5. Alerts are triggered for anomalies or threshold breaches (via ElastAlert/Watcher).

Main Modules

  1. Log Collection Module – Filebeat/Logstash pipeline setup.

  2. Data Indexing Module – Elasticsearch schema and index management.

  3. Visualization Module – Custom dashboards in Kibana.

  4. Alerting Module – Real-time anomaly and error detection.

  5. Security Module – Audit trails, failed login monitoring, intrusion detection.

Security Features

  • Encrypted log transmission (TLS/SSL).

  • Role-Based Access Control (RBAC) in Elasticsearch & Kibana.

  • Integration with SIEM tools for advanced threat detection.

  • Audit logs for compliance monitoring.

  • Multi-factor authentication for Kibana access.

This Course Fee:

₹ 2399 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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