Monitor Kubernetes Deployments with Kubernetes Operational View

1. How do I monitor Kubernetes deployments?
2. How do you monitor Microservices in Kubernetes?
3. What are the best practices in monitoring a service running in production on Kubernetes deployed on a hyper scale?
4. How do I monitor Kubernetes pod health?
5. What can I monitor with Kubernetes?
6. What is Kubernetes Prometheus?
7. What is cAdvisor in Kubernetes?
8. How do I check Kubernetes memory usage?
9. How do I check my containers in Kubernetes?
10. When using deployments it is recommended to manage ReplicaSets by yourself?
11. How does Kubernetes handle containers in the cluster?
12. What is the logical deployment unit called in Kubernetes?

How do I monitor Kubernetes deployments?

The most straightforward solution to monitor your Kubernetes cluster is by using a combination of Heapster to collect metrics, InfluxDB to store it in a time series database, and Grafana to present and aggregate the collected information. The Heapster GIT project has the files needed to deploy this design.

How do you monitor Microservices in Kubernetes?

Best Practices To Monitor Your Cluster

1. Use DaemonSets. DaemonSet is the Kubernetes object used to deploy pods on each node of the cluster. ...
2. Tags And Labels. ...
3. Use Service Discovery. ...
4. Kube-System. ...
5. Constantly Watch For High Disk Usage.

What are the best practices in monitoring a service running in production on Kubernetes deployed on a hyper scale?

According to Kubernetes.io, several key types of Kubernetes metrics should be tracked closely:

• Running pods and their deployments.
• Resource metrics, including CPU, memory usage and disk I/O.
• Container-native metrics.
• Application metrics.

How do I monitor Kubernetes pod health?

Grafana is an open-source data visualization tool that provides you with in-depth visibility into the health of your Kubernetes cluster and the applications running in it. You can leverage Grafana dashboards to monitor both system-level and application-level metrics such as: Overview of nodes, pods, and containers.

What can I monitor with Kubernetes?

Here are the most popular and most reliable open-source monitoring tools you can choose from when working with Kubernetes.

1. Kubelet. ...
2. Container Advisor (cAdvisor) ...
3. Kube-state-metrics. ...
4. Kubernetes Dashboard. ...
5. Prometheus. ...
6. Jaeger. ...
7. Kubewatch. ...
8. Weave Scope.

What is Kubernetes Prometheus?

Prometheus is an open-source instrumentation framework. ... Use Prometheus to monitor your servers, VMs, databases, and draw on that data to analyze the performance of your applications and infrastructure. This article explains how to set up Prometheus monitoring in a Kubernetes cluster.

What is cAdvisor in Kubernetes?

cAdvisor is an open-source agent integrated into the kubelet binary that monitors resource usage and analyzes the performance of containers. It collects statistics about the CPU, memory, file, and network usage for all containers running on a given node (it does not operate at the pod level).

How do I check Kubernetes memory usage?

If you want to check pods cpu/memory usage without installing any third party tool then you can get memory and cpu usage of pod from cgroup.

1. Go to pod's exec mode kubectl exec pod_name -- /bin/bash.
2. Go to cd /sys/fs/cgroup/cpu for cpu usage run cat cpuacct.usage.

How do I check my containers in Kubernetes?

To check the version, enter kubectl version . In this exercise you will use kubectl to fetch all of the Pods running in a cluster, and format the output to pull out the list of Containers for each.

When using deployments it is recommended to manage ReplicaSets by yourself?

When to use a ReplicaSet

Therefore, we recommend using Deployments instead of directly using ReplicaSets, unless you require custom update orchestration or don't require updates at all.

How does Kubernetes handle containers in the cluster?

In Kubernetes, nodes pool together their resources to form a more powerful machine. When you deploy programs onto the cluster, it intelligently handles distributing work to the individual nodes for you. If any nodes are added or removed, the cluster will shift around work as necessary.

What is the logical deployment unit called in Kubernetes?

A pod in Kubernetes represents the fundamental deployment unit. It may contain one or more containers packaged and deployed as a logical entity. A cloud native application running in Kubernetes may contain multiple pods mapped to each microservice. Pods are also the unit of scaling in Kubernetes.