Netflix OSS vs Kubespy | What are the differences? | StackShare

Kubespy vs Netflix OSS

Overview

Netflix OSS

Stacks76

Followers145

Votes0

Kubespy

Stacks10

Followers24

Votes0

GitHub Stars3.0K

Forks95

Kubespy vs Netflix OSS: What are the differences?

What is Kubespy? A CLI tool for observing Kubernetes resources in real time. kubespy is a small tool that makes it easy to observe how Kubernetes resources change in real time, derived from the work we did to make Kubernetes deployments predictable in Pulumi's CLI. Run kubespy at any point in time, and it will watch and report information about a Kubernetes resource continuously until you kill it.

What is Netflix OSS? A set of frameworks and libraries to solve distributed-systems problems at scale. 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.

Kubespy and Netflix OSS are primarily classified as "Container" and "Microservices" tools respectively.

Kubespy is an open source tool with 1.74K GitHub stars and 49 GitHub forks. Here's a link to Kubespy's open source repository on GitHub.

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Detailed Comparison

Netflix OSS	Kubespy
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.	kubespy is a small tool that makes it easy to observe how Kubernetes resources change in real time, derived from the work we did to make Kubernetes deployments predictable in Pulumi's CLI. Run kubespy at any point in time, and it will watch and report information about a Kubernetes resource continuously until you kill it.
Statistics
GitHub Stars -	GitHub Stars 3.0K
GitHub Forks -	GitHub Forks 95
Stacks 76	Stacks 10
Followers 145	Followers 24
Votes 0	Votes 0
Integrations
No integrations available	Pulumi Kubernetes

What are some alternatives to Netflix OSS, Kubespy?

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 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.