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Convox vs Kubernetes: What are the differences?

Key Differences between Convox and Kubernetes

Convox and Kubernetes are both popular container orchestration platforms, but they have some key differences in terms of architecture, usage, and deployment flexibility. The following are the main differences between Convox and Kubernetes:

  1. Architecture: Convox follows a simpler architecture design compared to Kubernetes. Convox has a single controller and multiple agents, while Kubernetes has a more complex architecture with multiple master and worker nodes. This simplicity in Convox's architecture makes it easier to configure and manage.

  2. Ease of Use: Convox is known for its simplicity and user-friendly interface. It provides a high-level abstraction and automates many tasks, making it easier for developers to deploy and manage their applications. On the other hand, Kubernetes has a steeper learning curve and requires more manual configuration, making it more suitable for advanced users or experienced DevOps teams.

  3. Deployment Flexibility: Convox primarily focuses on deploying applications in the cloud, especially on AWS. It provides seamless integration with AWS services and simplifies cloud-native app development. On the other hand, Kubernetes is a platform-agnostic solution that can be deployed on various cloud providers and even on-premises infrastructure. Kubernetes offers more deployment flexibility and portability.

  4. Scaling: Convox automatically scales the application based on resource usage and demand. It provides horizontal scaling by adding or removing instances as needed. In contrast, Kubernetes offers more advanced scaling capabilities, such as vertical scaling, which allows scaling individual pods by allocating more resources. Kubernetes also provides fine-grained control over scaling policies and strategies.

  5. Community and Ecosystem: Kubernetes has a larger and more active community, which means more resources, documentation, and community support. Kubernetes also has a vast ecosystem of third-party tools and plugins, providing a wide range of options for integration and customization. Convox, although it has a smaller community, has a strong focus on simplicity and ease of use, which can be appealing to certain developers or organizations.

  6. Cost Considerations: Convox is primarily built around AWS services and utilizes AWS resources for deployment. While this can provide seamless integration and ease of use for AWS users, it may also lead to higher costs, especially when using certain AWS services. Kubernetes, being platform-agnostic, allows more flexibility in choosing infrastructure options and can potentially provide cost optimization opportunities.

In Summary, Convox offers a simpler architecture, ease of use, and seamless integration with AWS, making it a good choice for developers focusing on cloud-native app development on AWS. On the other hand, Kubernetes provides a more flexible and scalable solution with a larger community and ecosystem, making it suitable for various deployment scenarios and infrastructure choices.

Decisions about Convox and Kubernetes
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 8.9M views

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.
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Pros of Convox
Pros of Kubernetes
  • 7
    Your own scalable Heroku in 5 minutes
  • 7
    It makes deployment management to AWS dependable.
  • 6
    Free, you only pay for AWS resources
  • 5
    Convox deploy - deploys your app in one command
  • 5
    Built on Docker
  • 4
    Quick to setup
  • 3
    Open Source
  • 164
    Leading docker container management solution
  • 128
    Simple and powerful
  • 106
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
  • 25
    Scale services
  • 20
    Replication controller
  • 11
    Permission managment
  • 9
    Supports autoscaling
  • 8
    Cheap
  • 8
    Simple
  • 6
    Self-healing
  • 5
    No cloud platform lock-in
  • 5
    Promotes modern/good infrascture practice
  • 5
    Open, powerful, stable
  • 5
    Reliable
  • 4
    Scalable
  • 4
    Quick cloud setup
  • 3
    Cloud Agnostic
  • 3
    Captain of Container Ship
  • 3
    A self healing environment with rich metadata
  • 3
    Runs on azure
  • 3
    Backed by Red Hat
  • 3
    Custom and extensibility
  • 2
    Sfg
  • 2
    Gke
  • 2
    Everything of CaaS
  • 2
    Golang
  • 2
    Easy setup
  • 2
    Expandable

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Cons of Convox
Cons of Kubernetes
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    • 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
    • 1
      Additional vendor lock-in (Docker)
    • 1
      More moving parts to secure
    • 1
      Additional Technology Overhead

    Sign up to add or upvote consMake informed product decisions

    What is Convox?

    Convox is an open source Platform as a Service that runs in your own Amazon Web Services (AWS) account. Instead of signing up for a multi-tenant PaaS like Heroku, you can have your own. This gives you privacy and control over your platform and avoids the substantial markup on AWS prices that other platforms charge.

    What is 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.

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    What companies use Convox?
    What companies use Kubernetes?
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    What tools integrate with Convox?
    What tools integrate with Kubernetes?

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    What are some alternatives to Convox and Kubernetes?
    Heroku
    Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
    Google App Engine
    Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
    Apollo
    Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
    AWS Elastic Beanstalk
    Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
    Apache Camel
    An open source Java framework that focuses on making integration easier and more accessible to developers.
    See all alternatives