Initiation to the powerful Elasticsearch Logstash and Kibana stack, it has many use cases, the popular one is the server and application log management.
5. Old solutions limits
• Tail & grep impossible with multiple systems
• DBs dont scale and its difficult to extract statistics
• Syslog :
• Only log history
• Not flexible : syslog client to syslog server
6.
7. Other solutions
- Biggest tool
- 537 apps
- High cost and
complexity
- Up to
~10000$
SPLUNK
- Easy setup
- Establish
baseline and
notify
- Sensitive data
- Data
transmition
overhead
- Complex
pricing strategy
SUMO LOGIC (SAAS)
8. ELK Stack
- Open source
- Easy install
- Mature
components
- Complexity of
three different
products
- Diffrent
machines in
production
9. Logstash
Over 200 plugins and all pluggable and mixable
Unify and democratize data from different sources and
into different destinations
Data collection engine
12. Elasticsearch
• Build on top of Apache Lucene(java)
• Developer-Friendly, RESTful API
• High Availability
• Massively Distributed
• Real-Time data and Advanced Analytics(1s from indexing to
searching)