Software Alternatives, Accelerators & Startups

minikube VS Kube-state-metrics

Compare minikube VS Kube-state-metrics and see what are their differences

minikube logo minikube

Run Kubernetes locally. Contribute to kubernetes/minikube development by creating an account on GitHub.

Kube-state-metrics logo Kube-state-metrics

Kube-state-metrics is an all-in-one monitoring system for Kubernetes clusters, providing an easy evaluation about the state of the cluster and its services, and surfaces detailed statistics about their performance.
  • minikube Landing page
    Landing page //
    2023-08-27
  • Kube-state-metrics Landing page
    Landing page //
    2023-08-06

minikube features and specs

  • Easy Setup
    Minikube provides a straightforward setup process, allowing users to quickly run Kubernetes clusters on local machines with minimal configuration.
  • Lightweight
    Designed for local development and testing, Minikube is lightweight and enables developers to spin up a Kubernetes environment without the overhead of a full-scale production setup.
  • Multi-platform Support
    Minikube supports multiple operating systems, including Windows, macOS, and Linux, making it accessible for developers working across different platforms.
  • Feature Rich
    Minikube offers a variety of Kubernetes features, including support for a wide range of Kubernetes APIs, which can be useful for development and testing.
  • Extensible
    It supports add-ons and configurations that allow developers to extend its functionality to suit their development needs.

Possible disadvantages of minikube

  • Limited Scalability
    Minikube is designed for local use and small-scale testing; it is not suitable for large-scale or production-grade deployments.
  • Resource Intensive
    Despite being lightweight compared to full-scale Kubernetes deployments, Minikube can still require significant local resources, which may affect the performance of the host machine.
  • Performance Limitations
    As a local Kubernetes solution, Minikube may not deliver the same performance and resource efficiency as cloud-based Kubernetes environments, particularly for intensive workloads.
  • Networking Challenges
    Configuring complex network setups in Minikube can be challenging, especially for users who are replicating multi-node clusters that require elaborate networking configurations.
  • Not Suitable for Production
    Minikube is specifically designed for development and testing purposes, meaning it lacks features needed for production deployments, such as scalability, high availability, and robust security.

Kube-state-metrics features and specs

  • Deep Kubernetes Insights
    Kube-state-metrics provides detailed metrics about the state of Kubernetes objects, which can offer deeper insights into the health and performance of a Kubernetes cluster compared to basic node and pod metrics.
  • Prometheus Integration
    It is designed to generate metrics in a format that is compatible with Prometheus, making it easy to integrate into existing Prometheus-based monitoring setups.
  • Real-Time Monitoring
    Kube-state-metrics continuously monitors Kubernetes API server for object state changes and updates metrics in real-time, ensuring that monitoring information is up-to-date.
  • Open Source and Community Supported
    Being an open-source project under the Kubernetes umbrella, kube-state-metrics benefits from active community development, contributions, and support.
  • Lightweight
    Kube-state-metrics is designed to be lightweight and non-intrusive, as it only scrapes the Kubernetes API to expose metrics without altering any state itself.

Possible disadvantages of Kube-state-metrics

  • Limited to Kubernetes States
    Kube-state-metrics focuses solely on Kubernetes object states and does not collect metrics about the infrastructure or applications themselves, which may necessitate additional tools for a complete monitoring solution.
  • Requires Prometheus
    For meaningful use of the metrics provided by kube-state-metrics, an existing Prometheus setup is necessary, which could be a downside for teams not already using Prometheus.
  • Scalability Concerns
    In very large clusters, the large volume of metrics generated may lead to performance challenges, potentially requiring careful configuration to manage the load on Prometheus.
  • Complexity of Data Analysis
    While kube-state-metrics provides a wealth of data, extracting actionable insights can be complex without proper visualization and analysis tools.

minikube videos

Minikube in Kubernetes | Coupon: UDEMYNOV20 | Udemy: Kubernetes Made Easy | Kubernetes Tutorial

More videos:

  • Review - Minikube: Bringing Kubernetes to the Next Billion Users - Thomas Strรถmberg, Google
  • Review - Using minikube (Kubernetes) for Local Node.js Development [I]

Kube-state-metrics videos

No Kube-state-metrics videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to minikube and Kube-state-metrics)
Developer Tools
64 64%
36% 36
Cloud Computing
62 62%
38% 38
Development
49 49%
51% 51
DevOps Tools
100 100%
0% 0

User comments

Share your experience with using minikube and Kube-state-metrics. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, minikube should be more popular than Kube-state-metrics. It has been mentiond 21 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

minikube mentions (21)

  • Building Llama as a Service (LaaS)
    With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer. - Source: dev.to / over 1 year ago
  • Can I scale my dockerized Flask solution with Kubernetes?
    Install Minicube - a tool that allows us to spin up a Kubernetes cluster in a local machine Run minikube start to start your Kubernetes cluster Run minikube dashboard to spin up a web-based user interface that allows you to manage your Kubernetes cluster. - Source: dev.to / over 1 year ago
  • DevOps experience without Kubernetes
    Https://github.com/kubernetes/minikube for local learning that's lightweight. Source: over 2 years ago
  • Minikube service URL not working
    Root@vagrant-ubuntu-trusty:~/docker-containers# docker imagesREPOSITORY TAG IMAGE ID CREATED SIZEdockercontainers\_jenkins latest bb1142706601 4 days ago 1.03GBdockercontainers\_sonar latest 3f021a73750c 4 days ago ... Source: over 2 years ago
  • Best way to install and use kubernetes for learning
    Minikube (https://github.com/kubernetes/minikube) - based off of docker machine, uses driver for backend, so can use KVM, Vagrant, or Docker itself to bootstrap K8S cluster. Source: almost 3 years ago
View more

Kube-state-metrics mentions (12)

  • Kubernetes Observability With Kube-State-Metrics
    Kube-State-Metrics is an agent service that listens to the Kubernetes API and generates metrics about the state of cluster objects, such as deployments, nodes, and pods. Unlike resource metrics (like CPU or memory usage), it provides insights into object-level data, such as the number of replicas or pod status, making it useful for monitoring the desired versus actual state of Kubernetes components. - Source: dev.to / 5 months ago
  • Awesome Kubernetes Resources !!! ๐Ÿ”ฅ
    ๐Ÿ’škube-state-metrics ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ - kube-state-metrics is a simple service that listens to the Kubernetes API server and generates metrics about the state of the objects. - Source: dev.to / 7 months ago
  • Enhanced Observability for Amazon EKS with CloudWatch Container Insights
    With Kube-State metrics, you get a complete view of the core components and overall health of your Kubernetes clusters. You can monitor the real-time state and quickly identify any issues or bottlenecks. Detailed container-level metrics allow you to visually navigate through different layers of your cluster, making it easier to spot problems like memory leaks in individual containers. This helps you resolve issues... - Source: dev.to / 10 months ago
  • Prometheus node exporter and cadvisor to send metrics to central prometheus cluster
    Those are entirely different types of data. You can get that from something like kube-state-metrics. Source: over 2 years ago
  • Questions about Kubernetes
    Kubernetes itself will not notify you, the way I've seen people do this, is to use something like kube-state-metrics or node_exporter, export that to Prometheus (or preferrably VictoriaMetrics because Prometheus is terrible IMO), and then setup alarms on that with alertmanager or equivalent, or just look at dashboards regularly with Grafana. Realistically I recommend only setting alerts on disk usage and... Source: over 2 years ago
View more

What are some alternatives?

When comparing minikube and Kube-state-metrics, you can also consider the following products

Kind - Kind is a web-based tool that provides you the features to operate the local kubernetes clusters with the help of a docker container named nodes.

kops - Founded by Elsa Kopp in 1950, Kopp's Frozen Custard specializes in Milwaukee's best freshly made frozen custard and jumbo burgers.

Rancher - Open Source Platform for Running a Private Container Service

Kontena Lens - Kontena Lens is an open-source desktop application that comes with a reliable way to manage and monitor Kubernetes clusters.

AutoFac - An addictive .NET IoC container. Contribute to autofac/Autofac development by creating an account on GitHub.

K9s - K9s For Warriors is dedicated to providing service canines to our Warriors suffering from PTSD, traumatic brain injury and/or military sexual trauma.