Elastic Stack
With Geliştir Cloud Core Panel, you can install the latest version of your Elastic Stack server within minutes and start using it immediately.
Overview
Elastic Stack (ELK Stack) is a powerful and scalable solution for modern data processing needs such as log management, system monitoring, security analytics and data intelligence. This open-source ecosystem, consisting of Elasticsearch search engine, Logstash data processing pipeline, Kibana analytics and visualization platform, Beats lightweight data shippers, provides real-time analysis and interactive visualization by collecting structured and unstructured data in a centralized hub.
Thanks to its cloud-native and container-friendly architecture, it provides seamless deployment on Kubernetes, Docker Swarm and cloud platforms. It offers a comprehensive observability platform with machine learning capabilities, APM (Application Performance Monitoring), SIEM functionality and enterprise security features. It meets enterprise-grade scalability, security and compliance requirements with Elastic Cloud, X-Pack extensions and professional support. It provides powerful infrastructure for big data analytics with petabyte-scale data processing and millisecond query response times.
Key Features
Distributed Search and Real-Time Analytics
Distributed full-text search with Elasticsearch cluster, real-time indexing, complex aggregations and sub-second query responses. Multi-tenancy and cross-cluster replication support.
Comprehensive Data Pipeline Processing
ETL operations with Logstash, data enrichment, filtering, transformation and multiple output destinations. Lightweight data collection from diverse sources with Beats family.
Advanced Visualization and Dashboard
Interactive dashboards with Kibana, time-series analysis, geospatial mapping, machine learning visualizations and custom plugins. Canvas and Lens advanced visualization tools.
Enterprise Security and Machine Learning
RBAC, encryption, audit logging, anomaly detection, forecasting and alerting with X-Pack. SIEM capabilities and threat hunting tools integration.
Use Cases
Log Management and Observability
Centralized logging, application monitoring, infrastructure observability, distributed tracing and performance analytics
Security Analytics and SIEM
Security information management, threat detection, incident response, compliance monitoring and forensic analysis
Business Intelligence and Analytics
Customer behavior analysis, business metrics tracking, operational analytics and data-driven decision making
Search and Content Discovery
Enterprise search solutions, content management, e-commerce search, knowledge base and document discovery
System Requirements
Minimum
- 4 vCPU
- 8 GB RAM
- 100 GB Disk
Recommended
- 8 vCPU
- 32 GB RAM
- 1 TB SSD
