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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Helm Charts
  5. Helm vs kops

Helm vs kops

OverviewComparisonAlternatives

Overview

Helm
Helm
Stacks1.4K
Followers911
Votes18
kops
kops
Stacks94
Followers77
Votes0
GitHub Stars16.5K
Forks4.7K

Helm vs kops: What are the differences?

Introduction

Helm and kops are two popular tools used in the Kubernetes ecosystem for management and deployment of applications. Although they serve a similar purpose, there are key differences between them that make each tool unique and suitable for specific use cases.

  1. Architecture and Scope: Helm is a package manager for Kubernetes that enables easy installation, upgrade, and management of applications as "charts". It focuses on managing the application layer and packaging dependencies. On the other hand, kops is a tool for provisioning, upgrading, and managing Kubernetes clusters on various cloud providers. It operates at the infrastructure level, handling tasks such as cluster creation, networking, and high availability.

  2. Level of Abstraction: Helm provides a higher level of abstraction by packaging applications into reusable and versioned charts. This allows for easier application deployment and sharing of common configurations. Kops, on the other hand, deals with the underlying infrastructure by managing the cluster nodes, networking, and load balancing, providing a lower level of abstraction compared to Helm.

  3. Workflow: Helm follows a more declarative workflow, where application configurations are defined in Helm charts, and then those charts are deployed to a Kubernetes cluster. It provides a version-controlled and template-based approach to application management. Kops, on the other hand, follows an imperative workflow where commands are executed to provision and manage the Kubernetes cluster directly. It requires manual updates to manage changes in the cluster configuration.

  4. Compatibility: Helm is compatible with any Kubernetes cluster and can be used to deploy applications on any cluster, regardless of how it was provisioned. Kops, on the other hand, is specifically designed for managing Kubernetes clusters and is not compatible with other cluster orchestrators.

  5. Community Support and Maturity: Helm has a larger and more active community with a wide range of pre-built charts available for various applications and services. It has been widely adopted and is considered a mature tool. Kops, although also actively maintained, has a smaller community compared to Helm. It is focused on managing Kubernetes clusters and has been used to deploy large-scale production systems.

  6. Use Cases: Given their differences, Helm is well-suited for managing and deploying applications in a cluster-agnostic manner, providing an easy and standardized approach to application management. It is ideal for application developers who want to focus on the application layer without dealing with the infrastructure. Kops, on the other hand, is more suitable for managing the underlying infrastructure of Kubernetes clusters, making it a better choice for operations teams responsible for managing the entire lifecycle of Kubernetes clusters in production environments.

In Summary, Helm is a package manager for managing applications in Kubernetes, while kops is a tool for managing the underlying infrastructure of Kubernetes clusters. Helm provides higher-level abstraction, follows a declarative workflow, and is compatible with any Kubernetes cluster. Kops focuses on provisioning and managing Kubernetes clusters directly, follows an imperative workflow, and is tailored specifically for Kubernetes cluster management.

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Detailed Comparison

Helm
Helm
kops
kops

Helm is the best way to find, share, and use software built for Kubernetes.

It helps you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes clusters from the command line. AWS (Amazon Web Services) is currently officially supported, with GCE in beta support , and VMware vSphere in alpha, and other platforms planned.

Statistics
GitHub Stars
-
GitHub Stars
16.5K
GitHub Forks
-
GitHub Forks
4.7K
Stacks
1.4K
Stacks
94
Followers
911
Followers
77
Votes
18
Votes
0
Pros & Cons
Pros
  • 8
    Infrastructure as code
  • 6
    Open source
  • 2
    Easy setup
  • 1
    Testa­bil­i­ty and re­pro­ducibil­i­ty
  • 1
    Support
No community feedback yet
Integrations
Docker
Docker
Kubernetes
Kubernetes
No integrations available

What are some alternatives to Helm, kops?

Nomad

Nomad

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

Apache Mesos

Apache Mesos

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

DC/OS

DC/OS

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

Mesosphere

Mesosphere

Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

Gardener

Gardener

Many Open Source tools exist which help in creating and updating single Kubernetes clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage and keep all of them alive and up-to-date. And that is exactly what project Gardener focuses on.

YARN Hadoop

YARN Hadoop

Its fundamental idea is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM).

Atmosly

Atmosly

AI-powered Kubernetes platform for developers & DevOps. Deploy applications without complexity, with intelligent automation and one-click environments.

Apache Aurora

Apache Aurora

Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.

am

am

Official Gravitee.io Helm chart for Access Management.

helm

helm

Helm helps you manage Kubernetes applications — Helm Charts help you define, install, and upgrade even the most complex Kubernetes application.

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