Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Netflix OSS

Stacks76

Followers145

Votes0

Kubernetes vs Netflix OSS: What are the differences?

Key Differences between Kubernetes and Netflix OSS

Kubernetes and Netflix OSS are both popular technologies used to manage and orchestrate containerized applications. However, there are several key differences between the two:

1. Scalability and Deployment:

Kubernetes is a container orchestration system that allows for the deployment, scaling, and management of containerized applications across a cluster of hosts. It provides features like automatic scaling, load balancing, and self-healing capabilities.
Netflix OSS, on the other hand, is a suite of tools and frameworks developed by Netflix for building highly available and scalable microservices architectures. It includes libraries for service discovery, fault tolerance, and circuit breakers, but does not offer the same level of deployment and orchestration capabilities as Kubernetes.

2. Ecosystem and Community:

Kubernetes has a large and vibrant open-source community with a wide range of tools, plugins, and integrations available. It is backed by major companies like Google, Microsoft, and Red Hat, which ensures continued development and support.
Netflix OSS, although open source, is primarily supported and developed by Netflix itself. While it offers a rich set of tools and frameworks specifically designed for building microservices architectures, it may not have the same level of community support and diversity of integrations as Kubernetes.

3. Scope and Focus:

Kubernetes is a comprehensive platform that provides a complete solution for container orchestration and management. It handles tasks like scheduling, scaling, load balancing, and networking, making it suitable for a wide range of applications and use cases.
Netflix OSS, on the other hand, is more focused on specific challenges and patterns related to building microservices architectures. Its tools and frameworks are designed to address common issues like service discovery, fault tolerance, and inter-service communication in a distributed environment.

4. Vendor Lock-in:

Kubernetes is an open-source platform that can be deployed on any cloud provider or on-premises infrastructure. It offers a level of portability and flexibility, allowing users to avoid vendor lock-in and switch between different providers as needed.
Netflix OSS, although open source, is tightly coupled with Netflix's infrastructure and tooling. While it can be used outside of Netflix, it may require significant modifications and may not be as easily portable to other platforms or cloud providers.

5. Maturity and Adoption:

Kubernetes has gained widespread adoption and is considered the de facto standard for container orchestration. It has a large and active user community, extensive documentation, and a mature ecosystem of tools and plugins.
Netflix OSS, while widely used within Netflix and by some other companies, may not have the same level of adoption or maturity as Kubernetes. It may not be as widely supported by third-party tools and may require more knowledge and expertise to implement effectively.

6. Containerization Strategy:

Kubernetes is designed to work with any container runtime, including Docker, containerd, and CRI-O. It provides an abstraction layer that allows users to manage and orchestrate containers regardless of the underlying runtime technology.
Netflix OSS does not provide its own container runtime, but rather focuses on providing tools and frameworks for building and managing microservices architectures. It is compatible with container runtimes like Docker and can be used in conjunction with container orchestration systems like Kubernetes.

In Summary, while both Kubernetes and Netflix OSS offer solutions for managing and orchestrating containerized applications, Kubernetes is a comprehensive platform with a larger ecosystem and broader focus, while Netflix OSS is more specialized and focused on specific challenges related to building microservices architectures.

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Advice on Kubernetes, Netflix OSS

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

GitHub

GitHub Pages

Markdown

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.

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Detailed Comparison

Kubernetes	Netflix OSS
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.	It provides tools and services to get the most out of your (big) data. It also provides runtime containers, libraries and services that power microservices.
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	-
Statistics
Stacks 61.2K	Stacks 76
Followers 52.8K	Followers 145
Votes 685	Votes 0
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	No community feedback yet
Integrations
Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine	No integrations available

What are some alternatives to Kubernetes, Netflix OSS?

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.

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 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

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.

Istio

Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

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.

Azure Service Fabric

Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

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

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.