Kubernetes Monitoring using eG Enterprise

Single-Pane-of-Glass Monitoring for Your Kubernetes Ecosystem

Kubernetes is taking the world by storm. Modern applications are built on the microservices architecture with containers as the means for deployment and operation of application components and Kubernetes as the platform for orchestration, to automate and manage container provisioning. The performance of these distributed and elastic applications depends on how the container orchestration is set up and how resources are provisioned dynamically to support automatic scaling, based on business need.

eG Enterprise is an enterprise-class, converged application and IT monitoring solution that provides unified performance visibility into the Kubernetes orchestration environment, the containers provisioned, and workloads running on them.

• From a central console get telemetry from across your Kubernetes cluster, nodes, and pod deployments
• Understand resource usage and capacity needs to futureproof container provisioning
• Obtain code-level visibility of applications running inside the containers
• Get correlated insight to identify root cause of performance bottlenecks
• Automate monitoring in your auto-scaling Kubernetes environment

Without having to install any agent/probe on the Kubernetes nodes, eG Enterprise leverages Kubernetes APIs to agentlessly monitor the entire Kube cluster.

Features

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  In-Depth Visibility into the Kubernetes Cluster

  • Get a cluster-level overview of pods, deployments, CPU, and memory allocation
  • Monitor the master node and all worker nodes in a Kube cluster
  • For each node, monitor pod allocation image usage, CPU, and memory allocation and utilization
  • Track all namespaces associated with the cluster and monitor the activation status, age and pod, and service association for each namespace

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  Monitoring the Kubernetes Control Plane

  The Kubernetes control plane is one of the key elements to monitor in the Kubernetes environment. The control plane runs on the master node is composed of 4 critical services: API server, controller manager, etcd, and scheduler.

  eG Enterprise monitors the status of all these critical services and alerts you to service failures. Also drill down to see specific messages and notifications for each service to help understand failures.

  Monitor all cluster events from one place: container, pod, node, deployment, DaemonSet, image, image manager, pod worker, jobs, scheduler, load balancer, and so on.

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  Track Resource Provisioning, Availability and Usage to Support Container Creation

  • For each pod in a namespace, track pod readiness and schedule, and CPU and memory allocation and utilization
  • Understand resource usage patterns and determine how much additional workload can be deployed per node
  • For each DaemonSet in a namespace, monitor DaemonSet availability on nodes, missed scheduled, details of pods, and nodes running the DaemonSet
  • Monitor application services associated to each namespace and track their status, service type age, and which pods are connected to each service
  • Get alerted to failed jobs, failed pods, and longest running jobs

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  Monitoring the Performance and User Experience of Containerized Applications

  • Automatically discover and manage microservices running on Kubernetes-provisioned containers
  • Track health, availability, and performance metrics for applications
  • Leverage distributed transaction tracing and identify slowness in accessing business transactions
  • Gain code-level visibility of web applications and debug errors before the application moves to production
  • Using a combination of synthetic simulation and real user monitoring, measure user experience of users accessing the applications

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  Monitoring Docker Containers

  In context of Kubernetes operations, eG Enterprise provides visibility of the Docker hosts and containers provisioned on them automatically.

  • Track the container lifecycle state from creation to deletion; know which containers are running, stopped, and paused
  • Monitor Docker services and events, and get alerted to any anomalies
  • Measure CPU, memory, and disk utilization of every Docker container, and get alerted to high usage levels
  • Obtain granular visibility into the Host's resource availability and utilization: disk space, disk activity, I/O waits, memory, swap, and inodes
  • Monitor the images mapped and not mapped to containers

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  Answer Key Performance Questions about Kubernetes

  • How is the health and availability of the Kubernetes Deployment?
  • Are all Master Node services running as expected?
  • Are there any failed Container images while pulling from the image repository?
  • What is the overall view of the Cluster in terms of Pod allocation, Deployment status, CPU, and memory allocation?
  • Are DaemonSets unavailable on any Nodes?
  • What is the status of Namespaces and Services? Are they properly mapped to their corresponding Pods?

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Benefits

• Ensure peak performance of Kubernetes cluster, containers, and the application workloads
• Understand capacity needs and plan well for resource expansion
• Troubleshoot problems faster with automated correlative intelligence and root cause diagnosis
• Get centralized visibility of Kubernetes nodes, pod deployments, containers, and the applications from a single pane of glass
• Detect user experience issues proactively and fix them before they become business-impacting

Why eG? One Monitor to Manage All of IT.

• eG Enterprise is the only single pane-of-glass, virtualization-aware, auto-diagnostic IT infrastructure performance monitor
• Gain actionable answers to performance issues, wherever they originate, from application code to bare metal
• Understand the impact of infrastructure issues on application performance and user experience
• Unify IT performance monitoring, alerting, diagnosing, reporting, and capacity planning in a single console
• Ensure a great user experience and dramatically improve IT efficiency
• Benefit from flexible deployment options (on-premises and SaaS) and IT monitoring approaches (agentless and agent-based)