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  5. Docker Swarm vs Squid

Docker Swarm vs Squid

OverviewDecisionsComparisonAlternatives

Overview

Squid
Squid
Stacks101
Followers205
Votes17
GitHub Stars2.7K
Forks594
Docker Swarm
Docker Swarm
Stacks779
Followers990
Votes282

Docker Swarm vs Squid: What are the differences?

Introduction

In the world of containerization and proxy servers, Docker Swarm and Squid play significant roles. Understanding the key differences between the two can help in choosing the right tool for specific needs.

  1. Scalability: Docker Swarm is a container orchestration tool that can scale up to thousands of containers easily, making it suitable for large-scale applications. On the other hand, Squid is a caching proxy server primarily used for caching web content and improving browsing speeds, which doesn't involve massive scalability like Docker Swarm.

  2. Purpose: Docker Swarm is designed for container orchestration, allowing multiple Docker hosts to work together as a single unit. On the contrary, Squid is a proxy server that acts as an intermediary between clients and servers, caching frequently requested content to speed up future requests.

  3. Resource Consumption: Docker Swarm consumes more resources in terms of infrastructure, as it manages multiple containers and orchestrates their deployment across hosts. In contrast, Squid is less resource-intensive, primarily focusing on caching and proxy functionalities without the need for extensive infrastructure.

  4. Management Complexity: Docker Swarm involves more complexity in its setup and management due to its orchestration capabilities and cluster management features. Squid, being a proxy server, is comparatively simpler to set up and manage, with a more straightforward focus on caching and forwarding requests.

  5. Containerization vs. Proxy Functionality: Docker Swarm focuses on containerization technology, allowing for the deployment and management of containers, while Squid is specifically designed for proxying and caching web content. This fundamental difference in functionality distinguishes their use cases and suitability for different purposes.

  6. Networking: Docker Swarm includes built-in networking features that facilitate communication among containers within the cluster, creating a seamless network environment for the deployed applications. Squid, being a proxy server, also works with network traffic but primarily focuses on routing and caching capabilities rather than internal container networking.

Summary

In summary, Docker Swarm excels in container orchestration and scalability, while Squid specializes in caching and proxy functionalities, making them distinct tools for different purposes.

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Advice on Squid, Docker Swarm

Simon
Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

DecidedonGitHubGitHubGitHub PagesGitHub PagesMarkdownMarkdown

Our whole DevOps stack consists of the following tools:

  • @{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively @{Git}|tool:1046| as revision control system
  • @{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
  • @{Visual Studio Code}|tool:4202| as IDE
  • @{CircleCI}|tool:190| for continuous integration (automatize development process)
  • @{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
  • @{SonarQube}|tool:2638| as quality gate
  • @{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
  • @{VirtualBox}|tool:774| for operating system simulation tests
  • @{Kubernetes}|tool:1885| as cluster management for docker containers
  • @{Heroku}|tool:133| for deploying in test environments
  • @{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
  • @{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
  • @{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
  • @{PostgreSQL}|tool:1028| as preferred database system
  • @{Redis}|tool:1031| 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.
12.8M views12.8M
Comments
Pavel
Pavel

Jan 27, 2021

Needs adviceonLinuxLinuxWindowsWindowsDockerDocker

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?

199k views199k
Comments

Detailed Comparison

Squid
Squid
Docker Swarm
Docker Swarm

Squid reduces bandwidth and improves response times by caching and reusing frequently-requested web pages. Squid has extensive access controls and makes a great server accelerator. It runs on most available operating systems, including Windows and is licensed under the GNU GPL.

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Statistics
GitHub Stars
2.7K
GitHub Stars
-
GitHub Forks
594
GitHub Forks
-
Stacks
101
Stacks
779
Followers
205
Followers
990
Votes
17
Votes
282
Pros & Cons
Pros
  • 4
    Easy to config
  • 2
    Cluster
  • 2
    Web application accelerator
  • 2
    Very Fast
  • 1
    High-performance
Pros
  • 55
    Docker friendly
  • 46
    Easy to setup
  • 40
    Standard Docker API
  • 38
    Easy to use
  • 23
    Native
Cons
  • 9
    Low adoption
Integrations
No integrations available
Docker
Docker

What are some alternatives to Squid, Docker Swarm?

Kubernetes

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.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Varnish

Varnish

Varnish Cache is a web application accelerator also known as a caching HTTP reverse proxy. You install it in front of any server that speaks HTTP and configure it to cache the contents. Varnish Cache is really, really fast. It typically speeds up delivery with a factor of 300 - 1000x, depending on your architecture.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Section

Section

Edge Compute Platform gives Dev and Ops engineers the access and control they need to run compute workloads on a distributed edge.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

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