Observability with Elasticsearch: Best Practices for High-Load Platform [ukr]

The session covers architectural strategies that keep Elasticsearch stable under heavy load: proper index and shard design, ILM policies, persistent queues in Logstash, metrics downsampling, and self-monitoring of the observability stack. Insights are drawn from operating platforms that handle terabytes of logs and millions of events per day.

Anton Pryhodko
EPAM, Systems Architect
  • Systems Architect with 16+ years of experience in engineering and cloud infrastructure
  • Expert in building observability stacks across AWS, Azure, GCP, and on-prem environments
  • Co-organizer of mentoring programs on DevOps and Systems Engineering
  • Experienced in implementing solutions based on Elastic Stack, Dynatrace, New Relic, and Grafana
  • Conducts technical interviews for System/Cloud Architect/Engineer roles
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