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Kubernetes vs dockersh: What are the differences?

Introduction

Kubernetes and Docker are both popular tools in the world of containerization, each serving distinct purposes and having unique features. Understanding the key differences between Kubernetes and Docker can help in making informed decisions about their usage in different scenarios.

  1. Orchestration vs. Runtime Environment: Kubernetes is primarily an orchestration tool used to manage containerized applications across a cluster of nodes, providing features like scaling, load balancing, and automated deployment, while Docker acts as a runtime environment for containers, facilitating the creation and execution of individual containers.

  2. Scope of Management: Kubernetes is designed for managing complex applications with multiple containers, handling tasks such as service discovery, load balancing, and auto-scaling, providing a more comprehensive solution for large-scale deployments. On the other hand, Docker focuses more on the development and deployment of single containerized applications, offering simpler management for smaller-scale projects.

  3. Cluster Management: Kubernetes excels in managing clusters of containers, offering features like automatic scheduling, self-healing capabilities, and horizontal scaling, making it suitable for deploying and managing applications at scale. Docker, while capable of clustering through Docker Swarm, is more limited in terms of cluster management functionalities compared to Kubernetes.

  4. Community Support and Ecosystem: Kubernetes has a larger and more active community, backed by major tech companies like Google, which contributes to its robust ecosystem of tools, plugins, and resources. Docker also has a strong community support, but Kubernetes' widespread adoption and extensive ecosystem provide a wider range of solutions and integrations for developers.

  5. Container Orchestration Model: Kubernetes follows a declarative model for defining desired states and letting the system handle the execution details, leading to higher level of automation and abstraction. In contrast, Docker relies more on imperative commands for managing containers, requiring explicit instructions for each action, which can be less automated and more manual compared to Kubernetes.

  6. Scalability and Extensibility: Kubernetes offers more advanced scalability options, including support for auto-scaling based on resource usage metrics, manual scaling, and fine-grained control over cluster resources. Docker's scalability capabilities are more basic in comparison, with limited auto-scaling features and less flexibility in resource management.

In Summary, understanding the differences between Kubernetes and Docker is crucial for selecting the right tool based on the specific requirements and scale of containerized applications.

Advice on dockersh and Kubernetes

Hello, we have a bunch of local hosts (Linux and Windows) where Docker containers are running with bamboo agents on them. Currently, each container is installed as a system service. Each host is set up manually. I want to improve the system by adding some sort of orchestration software that should install, update and check for consistency in my docker containers. I don't need any clouds, all hosts are local. I'd prefer simple solutions. What orchestration system should I choose?

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Replies (1)
Mortie Torabi
Recommends
on
Docker SwarmDocker Swarm

If you just want the basic orchestration between a set of defined hosts, go with Docker Swarm. If you want more advanced orchestration + flexibility in terms of resource management and load balancing go with Kubernetes. In both cases, you can make it even more complex while making the whole architecture more understandable and replicable by using Terraform.

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Decisions about dockersh and Kubernetes
Michael Roberts

We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 10.5M views

Our whole DevOps stack consists of the following tools:

  • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively Git as revision control system
  • SourceTree as Git GUI
  • Visual Studio Code as IDE
  • CircleCI for continuous integration (automatize development process)
  • Prettier / TSLint / ESLint as code linter
  • SonarQube as quality gate
  • Docker as container management (incl. Docker Compose for multi-container application management)
  • VirtualBox for operating system simulation tests
  • Kubernetes as cluster management for docker containers
  • Heroku for deploying in test environments
  • nginx as web server (preferably used as facade server in production environment)
  • SSLMate (using OpenSSL) for certificate management
  • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
  • PostgreSQL as preferred database system
  • Redis as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

  • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
  • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
  • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
  • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
  • Scalability: All-in-one framework for distributed systems.
  • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
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Pros of dockersh
Pros of Kubernetes
  • 1
    Multiple users to ssh onto a single box
  • 1
    Isolation
  • 1
    Privacy
  • 1
    Secure
  • 166
    Leading docker container management solution
  • 129
    Simple and powerful
  • 107
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
  • 25
    Scale services
  • 20
    Replication controller
  • 11
    Permission managment
  • 9
    Supports autoscaling
  • 8
    Simple
  • 8
    Cheap
  • 6
    Self-healing
  • 5
    Open, powerful, stable
  • 5
    Reliable
  • 5
    No cloud platform lock-in
  • 5
    Promotes modern/good infrascture practice
  • 4
    Scalable
  • 4
    Quick cloud setup
  • 3
    Custom and extensibility
  • 3
    Captain of Container Ship
  • 3
    Cloud Agnostic
  • 3
    Backed by Red Hat
  • 3
    Runs on azure
  • 3
    A self healing environment with rich metadata
  • 2
    Everything of CaaS
  • 2
    Gke
  • 2
    Golang
  • 2
    Easy setup
  • 2
    Expandable
  • 2
    Sfg

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Cons of dockersh
Cons of Kubernetes
    Be the first to leave a con
    • 16
      Steep learning curve
    • 15
      Poor workflow for development
    • 8
      Orchestrates only infrastructure
    • 4
      High resource requirements for on-prem clusters
    • 2
      Too heavy for simple systems
    • 1
      Additional vendor lock-in (Docker)
    • 1
      More moving parts to secure
    • 1
      Additional Technology Overhead

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    - No public GitHub repository available -

    What is dockersh?

    dockersh is designed to be used as a login shell on machines with multiple interactive users. When a user invokes dockersh, it will bring up a Docker container (if not already running), and then spawn a new interactive shell in the container's namespace.

    What is Kubernetes?

    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

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    What companies use dockersh?
    What companies use Kubernetes?
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    What tools integrate with dockersh?
    What tools integrate with Kubernetes?

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