The adoption of microservices and container technologies has increased rapidly as DevOps teams look into faster release cycles for application delivery. However, these ephemeral technologies dramatically increase the complexity of managing, visualizing and mapping dependencies between components in your IT infrastructure. Microservices are dynamic and can scale horizontally in an instant, which poses challenges in monitoring when the locations of containers and services are constantly changing.

Moving to a Docker-based cloud for Java apps orchestrated by Mesos Marathon required a different approach to monitoring and security for Quby, the Amsterdam-based developer of smart home solutions and maker of smart thermostat and service platform ‘Toon.’ That’s when they found Sysdig. The Sysdig Cloud-Native Intelligence Platform helps Quby resolve issues faster, and reduces monitoring system administration effort by 400%.

A complete ‘Kubernertes monitoring with Prometheus’ stack is comprised of much more than Prometheus servers that collect metrics by scraping endpoints. To deploy a real Kubernetes and microservices monitoring solution, you need many other supporting components including rules and alerts (AlertManager), a graphics visualization layer (Grafana), long term metrics storage, as well as extra metrics adapters for the software that is not compatible out of the box.

These are some of the most important points while choosing kubernetes deployment platform.

We live in exciting and worrying times. In serverless and containers, we have two amazing technologies that provide productive, machine-agnostic abstractions for engineers to work with. And yet, there seems to be an unbridgeable chasm between the two camps. If you have read anything I wrote in the last two years, you know that I am firmly in the serverless camp. But I was also an early adopter of containers.

Prometheus monitoring is fast becoming one of the Docker and Kubernetes monitoring tool to use. This guide explains how to implement Kubernetes monitoring with Prometheus. You will learn how to deploy Prometheus server, metrics exporters, setup kube-state-metrics, pull, scrape and collect metrics, configure alerts with Alertmanager and dashboards with Grafana.