Elasticsearch on Support Tools

Jaeger Performance Optimization: High-Throughput Distributed Tracing at Enterprise Scale

Thu, 13 Aug 2026 00:00:00 -0500

Jaeger is the industry-standard distributed tracing system for microservices, but achieving high performance at enterprise scale requires careful optimization. This guide covers production deployment strategies, storage backend optimization, adaptive sampling, and query performance tuning for processing millions of spans per second.

Elasticsearch Cluster Sizing and Optimization: Enterprise Production Guide

Mon, 22 Jun 2026 00:00:00 -0500

Elasticsearch cluster sizing is one of the most critical aspects of deploying a production-ready search infrastructure. Improper sizing leads to performance degradation, data loss, and costly over-provisioning. This comprehensive guide covers enterprise-grade cluster sizing, capacity planning, and optimization strategies based on real-world production deployments.

EFK Stack on Kubernetes: Production Deployment with ECK and Fluent Operator

Sat, 14 Mar 2026 12:00:00 -0500

Container logs are ephemeral by design — when a pod restarts, its logs vanish unless captured externally. At scale, that means thousands of log streams rotating across hundreds of nodes, with no reliable way to correlate events across service boundaries without centralized log aggregation. The EFK stack — Elasticsearch, Fluent Bit, and Kibana — solves this by collecting every log line at the node level, indexing it in a searchable store, and surfacing it through a powerful query interface.

The catch is that the raw-YAML DaemonSet approach most tutorials demonstrate breaks down in production: manual TLS certificate rotation, hand-edited ConfigMaps for log routing changes, and no safe upgrade path for Elasticsearch nodes. This guide uses two Kubernetes operators instead — ECK Operator (Elastic Cloud on Kubernetes) to manage the full lifecycle of Elasticsearch and Kibana via CRDs, and Fluent Operator to express Fluent Bit configuration as native Kubernetes resources with dynamic reload support. The result is a GitOps-ready logging platform that survives node failures, version upgrades, and configuration drift.

Grafana Tempo Ports: 3200, 4317, 4318 and an OTel Stack

Tue, 09 Dec 2025 09:00:00 -0500

Which port does Grafana Tempo listen on, and why does the collector get “connection refused” on 4317? This page answers that first, then builds a complete container monitoring stack (Prometheus, Grafana, Alertmanager, EFK, OpenTelemetry Collector, Jaeger and Tempo) with Docker Compose.