- CLOUD COMPUTING & DEVOPS
- Reviews
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
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Centralized logging system for applications, servers, and containers.
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Real-time dashboards to visualize logs and metrics.
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Improved issue detection, debugging, and performance monitoring.
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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
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Logstash / Filebeat – Collect logs from servers, apps, containers
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Beats Agents (Filebeat, Metricbeat, Packetbeat)
Data Storage & Search Layer
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Elasticsearch – Stores and indexes logs
Visualization Layer
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Kibana – Dashboards and visualizations
Optional Tools
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ElastAlert / AlertManager – Alerting
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Grafana – Alternative dashboards
Cloud Services Used (if deployed on cloud)
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AWS → Amazon OpenSearch Service (managed Elasticsearch), CloudWatch logs ingestion
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Azure → Azure Monitor with Log Analytics + ELK integration
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GCP → Google Cloud Logging + Elastic Cloud
Working Flow
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Applications, servers, and containers generate logs.
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Filebeat/Logstash collects logs and ships them to Elasticsearch.
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Elasticsearch indexes logs for fast searching and querying.
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Kibana visualizes data in real-time dashboards (errors, usage, performance).
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Alerts are triggered for anomalies or threshold breaches (via ElastAlert/Watcher).
Main Modules
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Log Collection Module – Filebeat/Logstash pipeline setup.
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Data Indexing Module – Elasticsearch schema and index management.
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Visualization Module – Custom dashboards in Kibana.
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Alerting Module – Real-time anomaly and error detection.
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Security Module – Audit trails, failed login monitoring, intrusion detection.
Security Features
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Encrypted log transmission (TLS/SSL).
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Role-Based Access Control (RBAC) in Elasticsearch & Kibana.
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Integration with SIEM tools for advanced threat detection.
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Audit logs for compliance monitoring.
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Multi-factor authentication for Kibana access.