Kubernetes vs Zookeeper

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Kubernetes

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Kubernetes vs Zookeeper: What are the differences?

Kubernetes and Zookeeper are both widely used technologies in the world of distributed systems and container orchestration. Let's explore the key differences between them:

  1. Containers vs. Distributed Coordination: The primary focus of Kubernetes is container orchestration, providing a platform for managing and scaling containerized applications. On the other hand, Zookeeper is a distributed coordination service that helps maintain configuration information, synchronize distributed processes, and provide group messaging within a distributed system.

  2. Master vs. Leader/Follower: In Kubernetes, there is a master node that manages the entire cluster, including scheduling, scaling, and monitoring. In Zookeeper, there is a leader/follower model, where one node is elected as the leader responsible for managing the state and other nodes act as followers.

  3. Programming Interface: Kubernetes provides an extensive declarative API that allows users to define the desired state of their applications and infrastructure using YAML or JSON manifests. Zookeeper, on the other hand, provides a simple programming interface based on the concept of a hierarchical namespace, where clients can create, read, update, or delete data nodes.

  4. Scalability and Performance: Kubernetes is designed to handle large-scale deployments with thousands of containers across multiple nodes. It leverages various strategies like auto-scaling, load balancing, and pod scheduling to ensure high availability and optimal resource utilization. Zookeeper, on the other hand, is optimized for low-latency and high-throughput operations at a relatively smaller scale.

  5. Use Case: Kubernetes is best suited for managing containerized applications, providing features like service discovery, load balancing, health monitoring, and automated scaling. It is commonly used in cloud-native environments for deploying microservices-based architectures. On the other hand, Zookeeper is often used as a coordination service for distributed systems, providing features like distributed locks, leader election, and configuration management.

  6. Community and Ecosystem: Kubernetes has a vibrant and active community with a wide range of tools and extensions built around it. It is part of the Cloud Native Computing Foundation (CNCF) and has a rich ecosystem of plugins, operators, and integrations. Zookeeper also has an active community but is more specific to distributed systems and has a narrower focus on coordination and synchronization.

In summary, Kubernetes focuses on container orchestration and provides a scalable platform for managing containerized applications, while Zookeeper is a distributed coordination service that provides features like leader election, distributed locks, and configuration management for distributed systems.

Decisions about Kubernetes and Zookeeper
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 · 8.9M 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 Kubernetes
Pros of Zookeeper
  • 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
  • 11
    High performance ,easy to generate node specific config
  • 8
    Java
  • 8
    Kafka support
  • 5
    Spring Boot Support
  • 3
    Supports extensive distributed IPC
  • 2
    Curator
  • 2
    Used in ClickHouse
  • 2
    Supports DC/OS
  • 1
    Used in Hadoop
  • 1
    Embeddable In Java Service

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Cons of Kubernetes
Cons of Zookeeper
  • 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
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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 Zookeeper?

    A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.

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

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    What are some alternatives to Kubernetes and Zookeeper?
    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.
    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.
    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.
    See all alternatives