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  1. Stackups
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  5. Argo vs Tilt

Argo vs Tilt

OverviewComparisonAlternatives

Overview

Argo
Argo
Stacks761
Followers470
Votes6
Tilt
Tilt
Stacks29
Followers64
Votes0

Argo vs Tilt: What are the differences?

Introduction

Argo and Tilt are both tools used in the Kubernetes ecosystem to manage, deploy, and orchestrate applications. However, there are key differences between the two. This article highlights the main differences between Argo and Tilt in the following paragraphs.

  1. Architecture: Argo is built around the concept of a workflow engine and primarily focuses on executing complex and long-running tasks. It allows users to define DAGs (Directed Acyclic Graphs) of tasks and manage dependencies between them, offering a high level of flexibility in workflow orchestration. On the other hand, Tilt is designed to provide a developer-centric experience by synchronizing code changes and deploying local dev environments rapidly. It allows developers to see live updates as they make changes to their codebase, greatly enhancing the development workflow.

  2. Workflow Management: Argo provides a full-fledged workflow management system, allowing users to define and execute complex workflows involving multiple steps and dependencies. It provides a rich set of features, including parallel execution, retries, and condition-based branching, making it suitable for orchestrating diverse and intricate workflows. In contrast, Tilt focuses on streamlining the development workflow through local development environments. It enables developers to iterate quickly by automatically building, deploying, and syncing changes, thereby eliminating the need for manual reloading or rebuilding during development.

  3. Integration with Kubernetes: Argo natively integrates with Kubernetes and leverages Kubernetes resources for the deployment and execution of its workflows. It can work seamlessly with other Kubernetes services and tools, allowing users to take full advantage of the Kubernetes ecosystem. Conversely, Tilt also works with Kubernetes but takes a more lightweight approach. It does not require users to define complex configuration files or write custom Kubernetes resources. Instead, it uses a simpler configuration file to manage local development environments and leverages Kubernetes under the hood to deploy and manage containers.

  4. Community and Adoption: Argo has gained significant popularity over time and has a vibrant open-source community contributing to its development and improvement. It has been widely adopted by organizations and is considered a mature and reliable tool for workflow orchestration in the Kubernetes ecosystem. Tilt, although relatively newer compared to Argo, has been gaining traction among developers and has an active community around it. It provides a unique set of features tailored specifically for enhancing the development experience, attracting developers who prioritize rapid iteration during the development process.

In summary, Argo and Tilt differ in terms of architecture, workflow management capabilities, integration with Kubernetes, and target audience. Argo focuses on advanced workflow orchestration, while Tilt prioritizes the development workflow and rapid iteration. Both tools have their strengths and cater to different needs within the Kubernetes ecosystem.

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Detailed Comparison

Argo
Argo
Tilt
Tilt

Argo is an open source container-native workflow engine for getting work done on Kubernetes. Argo is implemented as a Kubernetes CRD (Custom Resource Definition).

Tilt makes it possible to develop all your microservices locally in Kubernetes while collaborating with your team.

DAG or Steps based declaration of workflows;Artifact support (S3, Artifactory, HTTP, Git, raw);Step level input & outputs (artifacts/parameters);Loops;Parameterization;Conditionals;Timeouts (step & workflow level);Retry (step & workflow level);Resubmit (memoized);Suspend & Resume;Cancellation;K8s resource orchestration;Exit Hooks (notifications, cleanup);Garbage collection of completed workflow;Scheduling (affinity/tolerations/node selectors);Volumes (ephemeral/existing);Parallelism limits;Daemoned steps;DinD (docker-in-docker);Script steps
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Statistics
Stacks
761
Stacks
29
Followers
470
Followers
64
Votes
6
Votes
0
Pros & Cons
Pros
  • 3
    Open Source
  • 2
    Autosinchronize the changes to deploy
  • 1
    Online service, no need to install anything
No community feedback yet
Integrations
Kubernetes
Kubernetes
Docker
Docker
Docker
Docker
Kubernetes
Kubernetes

What are some alternatives to Argo, Tilt?

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 Compose

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

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.

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