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Eclipse Che vs Kubernetes: What are the differences?
<Write Introduction here>
Development Environment: Eclipse Che is a cloud-based integrated development environment (IDE) that allows developers to collaborate and code together in real-time, providing a fully managed development environment in the cloud. On the other hand, Kubernetes is a container orchestration platform that automates the deployment, scaling, and operation of application containers. While Eclipse Che focuses on providing a developer-friendly IDE environment, Kubernetes is more centered around managing containerized applications in production environments.
Resource Management: Eclipse Che is primarily designed for developers to create, build, and run applications without the need to manage underlying infrastructure, making it more developer-centric. Kubernetes, on the other hand, focuses on managing the resources of a cluster, including networking, storage, and compute resources, to ensure efficient allocation and utilization of resources among containerized applications.
Scalability: Eclipse Che is more focused on providing a scalable and collaborative coding environment for developers, allowing them to work seamlessly on projects together regardless of their physical location. In contrast, Kubernetes is designed for orchestrating the deployment and scaling of containerized applications, allowing for horizontal scaling by increasing the number of containers based on the demand.
Deployment Approach: Eclipse Che simplifies the deployment process by providing a pre-configured development environment in the cloud, reducing the setup time required for developers to start coding. Kubernetes, on the other hand, follows a container-centric approach where applications are packaged in containers and deployed across a cluster of nodes, allowing for easy deployment, scaling, and management of applications.
Maturity and Ecosystem: Eclipse Che is more specialized in providing a development environment for cloud-native applications, with a focus on collaboration and coding efficiency. Kubernetes, being a mature and widely adopted container orchestration platform, has a larger ecosystem of tools, plugins, and community support for managing and orchestrating containerized applications in production environments.
In Summary, Eclipse Che is a cloud-based IDE focusing on providing a collaborative and developer-friendly coding environment, while Kubernetes is a container orchestration platform specializing in managing containerized applications in production environments.
I am going to learn machine learning and self host an online IDE, the tool that i may use is Python, Anaconda, various python library and etc. which tools should i go for? this may include Java development, web development. Now i have 1 more candidate which are visual studio code online (code server). i will host on google cloud
The main contenders here are VS code and Eclipse, because Koding is meant to be used by large companies and by devs who know what they are doing. Both VS code and Eclipse have pros and cons, but for someone who wants to learn, VS Code is a much better choice as it has a very simple UI and plugins are easier to find and download.
Eclipse isn't meant for learning purposes and was designed with the intent to be used by professionals. Also it is an amazing IDE for java, but isn't so good in other languages, while VS code is much more efficient in a vast number of languages.
The only likely issue you might be facing with vs code is that, at times, it can be a resource hog, and in extreme cases it is possible to crash. But it is very rare and I recommend you have at least 8GB ram and at least a dual 1.6 GHz CPU.
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%.
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.
Pros of Eclipse Che
- Cloud IDE12
- Open Source7
- Powerful5
- Can be locally hosted2
- Intelligent1
- All features free by default1
Pros of Kubernetes
- Leading docker container management solution164
- Simple and powerful128
- Open source106
- Backed by google76
- The right abstractions58
- Scale services25
- Replication controller20
- Permission managment11
- Supports autoscaling9
- Cheap8
- Simple8
- Self-healing6
- No cloud platform lock-in5
- Promotes modern/good infrascture practice5
- Open, powerful, stable5
- Reliable5
- Scalable4
- Quick cloud setup4
- Cloud Agnostic3
- Captain of Container Ship3
- A self healing environment with rich metadata3
- Runs on azure3
- Backed by Red Hat3
- Custom and extensibility3
- Sfg2
- Gke2
- Everything of CaaS2
- Golang2
- Easy setup2
- Expandable2
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Cons of Eclipse Che
- LAck of support for golang2
Cons of Kubernetes
- Steep learning curve16
- Poor workflow for development15
- Orchestrates only infrastructure8
- High resource requirements for on-prem clusters4
- Too heavy for simple systems2
- Additional vendor lock-in (Docker)1
- More moving parts to secure1
- Additional Technology Overhead1
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