The operations journey never stops—pursuing excellence endlessly.
This guide explains how to store Kubernetes event data in Elasticsearch, configure Logstash and Ruby filters for timestamp correction, and create a Grafana dashboard to visualize and analyze cluster events for improved monitoring and troubleshooting.
Learn step‑by‑step how to deploy the Elasticsearch‑exporter via Helm, configure Prometheus to scrape its metrics, and visualize them in Grafana, enabling comprehensive monitoring of Elasticsearch clusters for performance, health, and early issue detection in Kubernetes environments.
This guide explains how to set up HAProxy monitoring by configuring a Prometheus exporter, adding HAProxy targets to Prometheus, verifying metric collection, and visualizing the data in Grafana with a ready-made dashboard, ensuring reliable and performant services.
This guide explains Calico's default IPIP mode, compares overlay, BGP, and cross‑subnet networking, and provides step‑by‑step commands to verify and change the network mode in a Kubernetes cluster, helping you optimize container network performance.
This guide walks through enabling Kubernetes auditing, configuring the API server and audit policy, collecting logs with Filebeat, forwarding them via Logstash to Elasticsearch, and visualizing the audit data in Kibana, providing a complete cloud‑native logging pipeline.
This guide walks you through deploying the Kubernetes Event Exporter, packaging its Helm chart and Docker image, configuring Kafka TLS secrets, setting up Logstash to ingest events and forward them to Elasticsearch, creating an index template, and verifying the end‑to‑end pipeline.
This guide walks you through installing Logstash on Kubernetes using Helm, configuring secure Kafka and Elasticsearch connections, setting resource limits, and verifying the deployment, enabling efficient real‑time collection, filtering, and indexing of container logs in a cloud‑native environment.
This guide explains how Elasticsearch index aliases and index templates work, illustrating their benefits for seamless index switching, grouping, view creation, and automated settings, and provides step‑by‑step code examples for creating, viewing, renaming, and deleting aliases and templates.
This guide explains Elasticsearch Index Lifecycle Management (ILM), detailing its five phases, the actions available in each stage, the criteria for phase transitions, and step‑by‑step configuration through Kibana and API commands, helping engineers automate index handling and reduce manual maintenance.
This guide walks you through the prerequisites, Helm chart acquisition, private Harbor upload, TLS secret creation, detailed Helm values configuration, and final deployment and verification steps to set up a secure, production‑ready Kibana monitoring platform on a Kubernetes cluster.
