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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Docker Compose vs Pixie

Docker Compose vs Pixie

OverviewComparisonAlternatives

Overview

Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K
Pixie
Pixie
Stacks10
Followers17
Votes0

Docker Compose vs Pixie: What are the differences?

<Write Introduction here>
  1. Deployment Management: Docker Compose is used for defining and running multi-container Docker applications, while Pixie is designed for observing the behavior and performance of applications running in Kubernetes clusters.
  2. Purpose: Docker Compose focuses on providing an environment for development and testing by simplifying the process of defining and running containers, whereas Pixie is focused on monitoring and troubleshooting production workloads in Kubernetes environments.
  3. Resource Utilization: Docker Compose primarily deals with managing containers locally on a developer's machine, while Pixie is geared towards providing visibility into the resource consumption and performance of services running in Kubernetes clusters.
  4. Integration: Docker Compose is tightly integrated with Docker Engine and relies on Docker technology for container management, whereas Pixie integrates with Kubernetes to gather real-time telemetry and monitor applications running in the cluster.
  5. Scaling: Docker Compose offers basic scaling capabilities by defining the number of container instances to run, but Pixie provides advanced scaling features by monitoring resource metrics and providing insights for optimizing performance and resource allocation within Kubernetes.
  6. Usage Scenarios: Docker Compose is commonly used for local development, testing, and deploying small-scale applications, while Pixie is more suitable for monitoring and troubleshooting large-scale production workloads in Kubernetes clusters.
In Summary, Docker Compose is focused on defining and running multi-container Docker applications locally, while Pixie is designed for observing and optimizing the behavior and performance of applications in Kubernetes clusters.

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Detailed Comparison

Docker Compose
Docker Compose
Pixie
Pixie

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.

It gives instant, programmatic and unified access to application performance data and signals without needing to change code, configure manual GUIs or move data off-cluster. Application-developers, Platform/Infra engineers and DevOps/SREs use Pixie to efficiently run a wide range of analyses.

-
Dynamic Logging; Service Health; Infra Health; CI Build Health
Statistics
GitHub Stars
36.4K
GitHub Stars
-
GitHub Forks
5.5K
GitHub Forks
-
Stacks
22.3K
Stacks
10
Followers
16.5K
Followers
17
Votes
501
Votes
0
Pros & Cons
Pros
  • 123
    Multi-container descriptor
  • 110
    Fast development environment setup
  • 79
    Easy linking of containers
  • 68
    Simple yaml configuration
  • 60
    Easy setup
Cons
  • 9
    Tied to single machine
  • 5
    Still very volatile, changing syntax often
No community feedback yet
Integrations
Docker
Docker
Kubernetes
Kubernetes
Google Kubernetes Engine
Google Kubernetes Engine
minikube
minikube
Azure Kubernetes Service
Azure Kubernetes Service
Amazon EKS
Amazon EKS

What are some alternatives to Docker Compose, Pixie?

Kubernetes

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

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 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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