Kubernetes聽vs聽Visual Studio Code

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Kubernetes

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Visual Studio Code

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Kubernetes vs Visual Studio Code: What are the differences?

Developers describe Kubernetes as "Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops". 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. On the other hand, Visual Studio Code is detailed as "Build and debug modern web and cloud applications, by Microsoft". Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows.

Kubernetes belongs to "Container Tools" category of the tech stack, while Visual Studio Code can be primarily classified under "Text Editor".

"Leading docker container management solution", "Simple and powerful" and "Open source" are the key factors why developers consider Kubernetes; whereas "Powerful multilanguage IDE", "Fast" and "Front-end develop out of the box" are the primary reasons why Visual Studio Code is favored.

Kubernetes and Visual Studio Code are both open source tools. Visual Studio Code with 79.3K GitHub stars and 11.1K forks on GitHub appears to be more popular than Kubernetes with 55K GitHub stars and 19.1K GitHub forks.

According to the StackShare community, Visual Studio Code has a broader approval, being mentioned in 1134 company stacks & 2379 developers stacks; compared to Kubernetes, which is listed in 1046 company stacks and 1096 developer stacks.

Advice on Kubernetes and Visual Studio Code

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
Docker 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 Kubernetes and Visual Studio Code
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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Samriddhi Sinha
Machine Learning Engineer at Chefling | 6 upvotes 路 430.9K views

Lightweight and versatile. Huge library of extensions that enable you to integrate a host of services to your development environment. VS Code's biggest strength is its library of extensions which enables it to directly compete with every single major IDE for almost all major programming languages.

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Kamaleshwar BN
Head of Engineering at Dibiz Pte. Ltd. | 12 upvotes 路 662.2K views

Visual Studio Code became famous over the past 3+ years I believe. The clean UI, easy to use UX and the plethora of integrations made it a very easy decision for us. Our gripe with Sublime was probably only the UX side. VSCode has not failed us till now, and still is able to support our development env without any significant effort.

Goland being paid, as well as built only for Go seemed like a significant limitation to not consider it.

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH | 28 upvotes 路 3M 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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Simon Ibssa
Student at California Polytechnic State University, San Luis Obispo | 2 upvotes 路 591.1K views

I decided to choose VSCode over Sublime text for my Systems Programming class in C. What I love about VSCode is its awesome ability to add extensions. Intellisense is a beautiful debugger, and Remote SSH allows me to login and make real-time changes in VSCode to files on my university server. This is an awesome alternative to going back and forth on pushing/pulling code and logging into servers in the terminal. Great choice for anyone interested in C programming!

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Pros of Kubernetes
Pros of Visual Studio Code
  • 155
    Leading docker container management solution
  • 124
    Simple and powerful
  • 99
    Open source
  • 74
    Backed by google
  • 56
    The right abstractions
  • 24
    Scale services
  • 18
    Replication controller
  • 9
    Permission managment
  • 7
    Simple
  • 7
    Supports autoscaling
  • 6
    Cheap
  • 4
    Self-healing
  • 4
    Reliable
  • 4
    No cloud platform lock-in
  • 3
    Open, powerful, stable
  • 3
    Scalable
  • 3
    Quick cloud setup
  • 3
    Promotes modern/good infrascture practice
  • 2
    Backed by Red Hat
  • 2
    Runs on azure
  • 2
    Cloud Agnostic
  • 2
    Custom and extensibility
  • 2
    Captain of Container Ship
  • 2
    A self healing environment with rich metadata
  • 1
    Golang
  • 1
    Easy setup
  • 1
    Everything of CaaS
  • 1
    Sfg
  • 1
    Expandable
  • 1
    Gke
  • 322
    Powerful multilanguage IDE
  • 288
    Fast
  • 183
    Front-end develop out of the box
  • 151
    Support TypeScript IntelliSense
  • 134
    Very basic but free
  • 115
    Git integration
  • 98
    Intellisense
  • 72
    Faster than Atom
  • 45
    Better ui, easy plugins, and nice git integration
  • 41
    Great Refactoring Tools
  • 38
    Good Plugins
  • 36
    Superb markdown support
  • 36
    Terminal
  • 32
    Open Source
  • 27
    Extensions
  • 25
    Large & up-to-date extension community
  • 25
    Awesome UI
  • 22
    Powerful and fast
  • 20
    Portable
  • 16
    Best editor
  • 16
    Best code editor
  • 15
    Easy to get started with
  • 14
    Built on Electron
  • 14
    Open, cross-platform, fast, monthly updates
  • 14
    Good for begginers
  • 14
    Crossplatform
  • 13
    Lots of extensions
  • 12
    All Languages Support
  • 11
    Ui design is great
  • 11
    Useful for begginer
  • 11
    Extensions for everything
  • 11
    Easy to use and learn
  • 11
    Faster edit for slow computer
  • 11
    Totally customizable
  • 11
    Extensible
  • 10
    Git out of the box
  • 10
    "fast, stable & easy to use"
  • 9
    It has terminal and there are lots of shortcuts in it
  • 9
    Great community
  • 9
    Great language support
  • 8
    Fast Startup
  • 8
    Powerful Debugger
  • 8
    SSH support
  • 8
    Works With Almost EveryThing You Need
  • 7
    Features rich
  • 7
    Great document formater
  • 7
    Python extension is fast
  • 7
    Can compile and run .py files
  • 6
    He is not Michael
  • 6
    She is not Rachel
  • 6
    Awesome multi cursor support
  • 5
    Extension Echosystem
  • 5
    Easy azure
  • 5
    VSCode.pro Course makes it easy to learn
  • 5
    Language server client
  • 5
    SFTP Workspace
  • 4
    Very proffesional
  • 4
    Has better support and more extentions for debugging
  • 3
    Excellent as git difftool and mergetool
  • 3
    Virtualenv integration
  • 3
    Supports lots of operating systems
  • 3
    Emmet preinstalled
  • 3
    'batteries included'
  • 3
    Has more than enough languages for any developer
  • 2
    VS Code Server: Browser version of VS Code
  • 2
    Fast and ruby is built right in
  • 2
    Better autocompletes than Atom
  • 2
    CMake support with autocomplete
  • 2
    Light
  • 2
    More tools to integrate with vs

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Cons of Kubernetes
Cons of Visual Studio Code
  • 13
    Poor workflow for development
  • 11
    Steep learning curve
  • 5
    Orchestrates only infrastructure
  • 2
    High resource requirements for on-prem clusters
  • 35
    Slow startup
  • 20
    Resource hog at times
  • 17
    Poor refactoring
  • 10
    Poor UI Designer
  • 9
    Weak Ui design tools
  • 7
    Poor autocomplete
  • 7
    Microsoft
  • 6
    Poor in PHP
  • 4
    Poor at Python
  • 3
    Super Slow
  • 3
    Poor intellisense. poor java
  • 2
    Microsoft sends telemetry data
  • 2
    No Built in Browser Preview
  • 2
    No built in live Preview
  • 2
    Very basic for java development and buggy at times
  • 2
    Poor in Python
  • 2
    Huge cpu usage with few installed extension
  • 2
    No color Intergrator
  • 2
    Dilshad
  • 1
    Bad Plugin Architecture

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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.

What is Visual Studio Code?

Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows.

Need advice about which tool to choose?Ask the StackShare community!

Jobs that mention Kubernetes and Visual Studio Code as a desired skillset
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What tools integrate with Kubernetes?
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What are some alternatives to Kubernetes and Visual Studio Code?
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.
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.
OpenStack
OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.
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
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.
See all alternatives