Kubernetes vs OpenStack

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Kubernetes vs OpenStack: What are the differences?

Key Differences between Kubernetes and OpenStack

Kubernetes and OpenStack are both widely used open-source platforms for managing and orchestrating cloud-based applications, but they differ in several key aspects.

  1. Architecture: Kubernetes is a container orchestration platform that focuses on managing and scaling containerized applications. It provides powerful tools for automating deployment, scaling, and management of containerized applications across a cluster of hosts. OpenStack, on the other hand, is a cloud infrastructure platform that provides a full suite of services for managing virtual machines, software-defined networking, and storage resources.

  2. Scope: Kubernetes is primarily focused on container orchestration and provides features like auto-scaling, service discovery, and rolling deployments to ensure smooth operation of containerized applications. OpenStack, on the other hand, is a comprehensive cloud platform that offers a range of services including compute, networking, and storage. It is designed to provide a complete infrastructure solution for building private, public, or hybrid clouds.

  3. Deployment Model: Kubernetes is designed to be a cloud-native platform and is typically deployed on public cloud providers, private cloud environments, or bare-metal servers. It abstracts the underlying infrastructure and provides a consistent API for managing containers. OpenStack, on the other hand, is typically deployed as an on-premises infrastructure platform and requires dedicated hardware resources for running its services.

  4. Community and Ecosystem: Kubernetes has a larger and more active community compared to OpenStack. It is backed by major tech giants like Google, Microsoft, and Red Hat, which ensures a steady stream of contributions and a vibrant ecosystem of tools and extensions. OpenStack, although it has a sizable community, has seen some consolidation in recent years, with some projects being deprecated or merged.

  5. Maturity and Adoption: Kubernetes has rapidly gained popularity and has become the de facto standard for container orchestration. It is widely adopted across various industries and has a rich ecosystem of tools and platforms built around it. OpenStack, on the other hand, has been around for a longer time and has seen significant adoption in industries like telecommunications and research. It has a more mature codebase and a strong track record in managing cloud infrastructure.

  6. Ease of Use and Complexity: Kubernetes has a steep learning curve and requires a good understanding of containerization concepts and practices. It provides a flexible and powerful platform for managing containers but can be complex to set up and operate. OpenStack, on the other hand, provides a more straightforward user experience with a web-based dashboard and a set of command-line tools. However, it can still be challenging to deploy and configure due to its comprehensive range of services.

In summary, while both Kubernetes and OpenStack are popular open-source platforms for managing cloud-based applications, Kubernetes focuses on container orchestration and provides a scalable and flexible solution, while OpenStack offers a comprehensive suite of cloud infrastructure services for managing virtual machines, networks, and storage.

Advice on Kubernetes and OpenStack

Hello, we have a bunch of local hosts (Linux and Windows) where Docker containers are running with bamboo agents on them. Currently, each container is installed as a system service. Each host is set up manually. I want to improve the system by adding some sort of orchestration software that should install, update and check for consistency in my docker containers. I don't need any clouds, all hosts are local. I'd prefer simple solutions. What orchestration system should I choose?

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Replies (1)
Mortie Torabi
Recommends
on
Docker SwarmDocker Swarm

If you just want the basic orchestration between a set of defined hosts, go with Docker Swarm. If you want more advanced orchestration + flexibility in terms of resource management and load balancing go with Kubernetes. In both cases, you can make it even more complex while making the whole architecture more understandable and replicable by using Terraform.

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Decisions about Kubernetes and OpenStack
Michael Roberts

We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 8.8M 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 Kubernetes
Pros of OpenStack
  • 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
  • 56
    Private cloud
  • 38
    Avoid vendor lock-in
  • 22
    Flexible in use
  • 6
    Industry leader
  • 4
    Supported by many companies in top500
  • 4
    Robust architecture

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Cons of Kubernetes
Cons of OpenStack
  • 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
    Be the first to leave a con

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    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.

    What is OpenStack?

    OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.

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

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    What are some alternatives to Kubernetes and OpenStack?
    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.
    Nomad
    Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.
    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.
    DC/OS
    Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.
    See all alternatives