AIOps for Monitoring Kubernetes and Serverless

Getting Started with Kubernetes Architecture 

• Kubernetes has become an indispensable part of production Cloud environment. Kubernetes centralizes logs and metrics. Kubernetes contains Pods, Clusters, and networks as its components.
• It simplifies Continuous Integration and Continuous Deployment ensuring data consistency. It focuses on building and delivering software.
• Kubernetes monitors Pods, Clusters, and Networks. It monitors each layer explicitly. 

Challenge for Building Reactive Platform for AIOps

• Reactive Platform AIOps For Monitoring and Alerting using Akka.
• Performance Metrics for monitoring distributed, ephemeral, containerized Microservices.
• Spend more time working on code that analyses the meaning of metrics than code that collects, moves, stores, and displays metrics.
• Validate measurement system accuracy and precision. Collect histograms of response time.
• Monitoring systems need to be more available and scalable than the systems (and services) monitored.
• Node-level system metrics, Application metrics, Kubernetes metrics, and OpenStack metrics.

 Solution Offered for Building Monitoring and Alerting AIOps Platform
 

Kubernetes Metrics Architecture 

• Application - Service availability, Response time, requests.
• Services - HTTP Requests, Database connections and replications, Thread and connections.
• Kubernetes Deployment - Pods, Containers.
• Kubernetes Internals - Kubelet, Docker, Nodes.
• Hosts - Host Resources, Host status.