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  4. API Gateway
  5. Docker Swarm vs Kong

Docker Swarm vs Kong

OverviewDecisionsComparisonAlternatives

Overview

Kong
Kong
Stacks671
Followers1.5K
Votes139
GitHub Stars42.1K
Forks5.0K
Docker Swarm
Docker Swarm
Stacks779
Followers990
Votes282

Docker Swarm vs Kong: What are the differences?

## Introduction

Key differences between Docker Swarm and Kong:

1. **Orchestration vs API Gateway**: Docker Swarm is a container orchestration tool used to manage a cluster of Docker hosts, while Kong is an API gateway that acts as a middle layer between clients and microservices, providing features like authentication, rate limiting, and logging.
2. **Scalability**: Docker Swarm is designed for large-scale deployments, allowing users to scale their services efficiently and manage a high number of containers across multiple hosts. On the other hand, Kong is more focused on handling API traffic and can be used in a distributed environment to handle high volumes of API requests.
3. **Resource Management**: Docker Swarm includes built-in resource management features, such as load balancing and service discovery, to ensure optimal utilization of resources within the cluster. Kong, on the other hand, prioritizes API traffic management, offering advanced routing capabilities and plugins for customizing the behavior of API endpoints.
4. **Deployment Flexibility**: Docker Swarm provides a simple and straightforward way to deploy and manage containerized applications using Docker Compose files or Docker CLI commands. Kong, on the other hand, offers more flexibility in terms of deployment options, supporting various deployment methods, including Docker containers, Kubernetes, and standalone setups.
5. **Security**: Docker Swarm includes built-in security features such as mutual TLS authentication and secrets management to secure communication between nodes and services in the cluster. Kong offers security-focused plugins and features like JWT authentication and OAuth 2.0 integration to protect API endpoints and control access to resources.
6. **Monitoring and Logging**: Docker Swarm provides basic monitoring and logging capabilities through integration with third-party tools like Prometheus and ELK stack. Kong offers built-in monitoring and logging features to track API performance, traffic patterns, and errors in real-time, helping developers and administrators troubleshoot issues and optimize API performance.

In Summary, Docker Swarm focuses on container orchestration and resource management, while Kong specializes in API traffic management and security, providing flexibility in deployment options and enhanced monitoring capabilities.

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Advice on Kong, 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
Prateek
Prateek

Fullstack Engineer| Ruby | React JS | gRPC at Ex Bookmyshow | Furlenco | Shopmatic

Mar 14, 2020

Decided

Istio based on powerful Envoy whereas Kong based on Nginx. Istio is K8S native as well it's actively developed when k8s was successfully accepted with production-ready apps whereas Kong slowly migrated to start leveraging K8s. Istio has an inbuilt turn-keyIstio based on powerful Envoy whereas Kong based on Nginx. Istio is K8S native as well it's actively developed when k8s was successfully accepted with production-ready apps whereas Kong slowly migrated to start leveraging K8s. Istio has an inbuilt turn key solution with Rancher whereas Kong completely lacks here. Traffic distribution in Istio can be done via canary, a/b, shadowing, HTTP headers, ACL, whitelist whereas in Kong it's limited to canary, ACL, blue-green, proxy caching. Istio has amazing community support which is visible via Github stars or releases when comparing both.

322k views322k
Comments

Detailed Comparison

Kong
Kong
Docker Swarm
Docker Swarm

Kong is a scalable, open source API Layer (also known as an API Gateway, or API Middleware). Kong controls layer 4 and 7 traffic and is extended through Plugins, which provide extra functionality and services beyond the core platform.

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.

Logging: Log requests and responses to your system over TCP, UDP or to disk; OAuth2.0: Add easily an OAuth2.0 authentication to your APIs; Monitoring: Live monitoring provides key load and performance server metrics; IP-restriction: Whitelist or blacklist IPs that can make requests; Authentication: Manage consumer credentials query string and header tokens; Rate-limiting: Block and throttle requests based on IP or authentication; Transformations: Add, remove or manipulate HTTP params and headers on-the-fly; CORS: Enable cross-origin requests to your APIs that would otherwise be blocked; Anything: Need custom functionality? Extend Kong with your own Lua plugins;
-
Statistics
GitHub Stars
42.1K
GitHub Stars
-
GitHub Forks
5.0K
GitHub Forks
-
Stacks
671
Stacks
779
Followers
1.5K
Followers
990
Votes
139
Votes
282
Pros & Cons
Pros
  • 37
    Easy to maintain
  • 32
    Easy to install
  • 26
    Flexible
  • 21
    Great performance
  • 7
    Api blueprint
Pros
  • 55
    Docker friendly
  • 46
    Easy to setup
  • 40
    Standard Docker API
  • 38
    Easy to use
  • 23
    Native
Cons
  • 9
    Low adoption
Integrations
Cassandra
Cassandra
Docker
Docker
Prometheus
Prometheus
Kubernetes
Kubernetes
PostgreSQL
PostgreSQL
NGINX
NGINX
Vagrant
Vagrant
Docker
Docker

What are some alternatives to Kong, 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.

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.

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.

Amazon API Gateway

Amazon API Gateway

Amazon API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization and access control, monitoring, and API version management.

Tyk Cloud

Tyk Cloud

Tyk is a leading Open Source API Gateway and Management Platform, featuring an API gateway, analytics, developer portal and dashboard. We power billions of transactions for thousands of innovative organisations.

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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