At Qavi Tech, we’ve got a bustling team relying on reliable connectivity every day, and that’s where our latest innovation comes in: a custom dashboard built on Kibana using Logstash for monitoring and gaining insights into our access points (APs). This tool has been a game-changer for us, helping spot issues fast, optimize performance, balance user loads, and ensure our Wi-Fi stays rock-solid.
To maintain consistent and reliable network load balancing, we’ve built a real-time monitoring system using the Elastic Stack (Elasticsearch, Logstash, and Kibana). This setup provides full visibility into the performance and health of our MikroTik Load Balancer hEX (RouterOS E50UG).
Logstash is an open-source data collection and processing engine used to collect, transform, and send data from multiple sources to a destination like Elasticsearch.
A Visionary Leap in the World of Cyber Defense Threats
Kibana sits at the heart of the Elastic Stack, helping analysts, engineers, and decision-makers turn messy raw logs, metrics, and traces into visuals that actually make sense.
Managing monitoring across a large Kubernetes cluster can quickly become overwhelming. Deploying Elastic Agent as a DaemonSet solves this by automatically placing an agent on every node no manual setup required.
When deploying Elastic integrations in Kubernetes environments, teams usually follow established procedures that work reliably across most setups. However, OpenShift-managed Kubernetes clusters present unique key endpoint changes that can catch administrators off guard.
