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  5. Conan vs Kubernetes

Conan vs Kubernetes

OverviewDecisionsComparisonAlternatives

Overview

Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685
Conan
Conan
Stacks84
Followers108
Votes10
GitHub Stars9.0K
Forks1.1K

Conan vs Kubernetes: What are the differences?

Introduction:

In today's world of software development, there are several tools and platforms available to facilitate the deployment and management of applications. Two such prominent tools are Conan and Kubernetes. Although both serve different purposes, they are often compared due to their significance in the software ecosystem. This markdown code aims to highlight the key differences between Conan and Kubernetes, providing a clear understanding of how they differ from each other.

  1. Architecture and purpose: Conan is primarily a package manager for C and C++ projects. It focuses on managing dependencies, facilitating the building and sharing of packages across different systems. On the other hand, Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.

  2. Scope of control: Conan mainly operates at the package level, focusing on managing dependencies within a project. It allows developers to define, upload, and share packages but does not provide direct control over application deployment. In contrast, Kubernetes operates at a higher level, managing the deployment and scaling of entire applications across clusters of servers.

  3. Containerization: Conan is independent of containerization and can be used with or without containerized applications. It focuses on managing packages and their dependencies, irrespective of the deployment method. Kubernetes, on the other hand, is closely tied to containerization technologies, such as Docker. It orchestrates the deployment and management of containerized applications across a cluster of servers.

  4. Scaling capabilities: While Conan does not provide built-in mechanisms for scaling applications, Kubernetes excels in this area. Kubernetes offers automatic scaling of applications based on defined metrics, ensuring efficient resource utilization. It can adjust the number of application instances dynamically, depending on factors like CPU usage, memory utilization, and other defined metrics.

  5. Monitoring and logging: Conan does not include built-in monitoring or logging capabilities. It focuses solely on package management and dependency resolution. Conversely, Kubernetes provides extensive monitoring and logging functionalities through various mechanisms. It offers built-in support for defining monitoring metrics, collecting logs, and integrating with external monitoring tools.

  6. Community and ecosystem: Conan has a vibrant and active community, particularly within the C and C++ development ecosystem. It offers a wide range of community-contributed packages and has strong integration with build systems like CMake. Kubernetes, on the other hand, has a much larger community and a massive ecosystem. It benefits from the contributions of multiple organizations and has extensive integration with different cloud providers and tools.

In summary, Conan and Kubernetes differ in terms of their architecture, purpose, scope of control, relationship with containerization, scaling capabilities, and ecosystem. While Conan primarily focuses on package management and resolving dependencies for C and C++ projects, Kubernetes is a container orchestration platform that automates application deployment and scaling across clusters.

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Advice on Kubernetes, Conan

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
Anis
Anis

Founder at Odix

Nov 7, 2020

Review

I recommend this : -Spring reactive for back end : the fact it's reactive (async) it consumes half of the resources that a sync platform needs (so less CPU -> less money). -Angular : Web Front end ; it's gives you the possibility to use PWA which is a cheap replacement for a mobile app (but more less popular). -Docker images. -Kubernetes to orchestrate all the containers. -I Use Jenkins / blueocean, ansible for my CI/CD (with Github of course) -AWS of course : u can run a K8S cluster there, make it multi AZ (availability zones) to be highly available, use a load balancer and an auto scaler and ur good to go. -You can store data by taking any managed DB or u can deploy ur own (cheap but risky).

You pay less money, but u need some technical 2 - 3 guys to make that done.

Good luck

115k views115k
Comments

Detailed Comparison

Kubernetes
Kubernetes
Conan
Conan

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.

Install or build your own packages for any platform. Conan also allows you to run your own server easily from the command line.

Lightweight, simple and accessible;Built for a multi-cloud world, public, private or hybrid;Highly modular, designed so that all of its components are easily swappable
Dependencies and package management for developers; De-centralized; Source code and binaries; Full open-source stack; Simple, flexible and powerful scripting; Full control of dependencies; Free hosting service for free software;
Statistics
GitHub Stars
-
GitHub Stars
9.0K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
61.2K
Stacks
84
Followers
52.8K
Followers
108
Votes
685
Votes
10
Pros & Cons
Pros
  • 166
    Leading docker container management solution
  • 130
    Simple and powerful
  • 108
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
Cons
  • 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
Pros
  • 4
    Crossplatform builds
  • 3
    Easy to maintain used dependencies
  • 2
    Build recipes can be very flexble
  • 1
    Integrations with cmake, qmake and other build systems
Cons
  • 1
    3rd party recipes can be flawed
Integrations
Vagrant
Vagrant
Docker
Docker
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Google Compute Engine
Google Compute Engine
Ansible
Ansible
Google Kubernetes Engine
Google Kubernetes Engine
C lang
C lang
C++
C++

What are some alternatives to Kubernetes, Conan?

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.

Docker Swarm

Docker Swarm

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.

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.

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.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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