β Relevant experience in Elastic Stack (Elastic Search, Logstash, Kibana, Filebeat, Ingest Pipeline)
β Strong experience in installing and configuring ELK. Strong experience in Design, build, deploy, maintain, and enhance ELK platform
β Strong experience in using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log stash and Log Beats
- Good experience in using or creating plugins for ELK like authentication and authorization plugins
- Troubleshoot and resolve complex issues related to data ingestion, storage, search, and visualization within the ELK stack.
β Good experience in enhancing Open-source ELK for custom capabilities
β Experience in integrating ELK with enterprise tools and APIs, for example for authentication and authorization
β Capacity Planning of Elastic Search Cluster
β Fine-tuning techniques of bulk indexing and querying
β Implement best practices for ELK stack deployment, configuration, and maintenance.
β Solid understanding of continuous integration, deployment and operations concepts
β Monitor ELK stack performance, identify bottlenecks, and implement performance optimization strategies.
β Stay up-to-date with the latest developments in the ELK stack ecosystem and recommend improvements or new features to enhance our offerings.
β Document solutions, configurations, and troubleshooting procedures for internal knowledge sharing and client support purposes.
β Mentor junior team members and provide guidance on ELK stack technologies and best practices.
β Proficiency in Elasticsearch query DSL (Domain Specific Language) for data retrieval and analysis.
β Solid understanding of log management, data parsing, and enrichment techniques using Logstash.
β Experience with ELK stack performance tuning, optimization, and scalability.