Introduction: The ELK (Elasticsearch, Logstash, and Kibana) stack is an end-to-end suite of tools that delivers actionable insights in real time from almost any type of structured and unstructured data source. ELK Stack is the most popular log management platform.
· Skills and Experience Mandatory:
· Elasticsearch:
o Expert-level knowledge in Elasticsearch, including query writing, analyzers, and indexing practices.
o Proficiency in writing and utilizing Kibana APIs.
· Log Analytics:
o Advanced understanding of log analytics and troubleshooting using ELK.
· Kibana:
o Skilled in creating visualizations, dashboards, and log analysis through Kibana.
· Logstash:
o Hands-on experience in configuring and optimizing data pipelines with Logstash.
· Scripting:
o Proficiency in Python and Linux scripting for automation and integration tasks.
· Performance Optimization:
o Expertise in tuning Elasticsearch performance, shard management, and query efficiency.
· Advanced Search Features:
o Familiarity with multi-match queries, boosting, fuzziness, and relevance tuning.
Nice to Have:
· AWS Knowledge:
o Experience with AWS services like Lambda, CloudWatch, S3, and EC2.
- o Ability to integrate and manage ELK on AWS infrastructure.
