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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:
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.
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.
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.
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.
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.
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.
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%.
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.
Pros of Kubernetes
- Leading docker container management solution164
- Simple and powerful128
- Open source106
- Backed by google76
- The right abstractions58
- Scale services25
- Replication controller20
- Permission managment11
- Supports autoscaling9
- Cheap8
- Simple8
- Self-healing6
- No cloud platform lock-in5
- Promotes modern/good infrascture practice5
- Open, powerful, stable5
- Reliable5
- Scalable4
- Quick cloud setup4
- Cloud Agnostic3
- Captain of Container Ship3
- A self healing environment with rich metadata3
- Runs on azure3
- Backed by Red Hat3
- Custom and extensibility3
- Sfg2
- Gke2
- Everything of CaaS2
- Golang2
- Easy setup2
- Expandable2
Pros of Zookeeper
- High performance ,easy to generate node specific config11
- Java8
- Kafka support8
- Spring Boot Support5
- Supports extensive distributed IPC3
- Curator2
- Used in ClickHouse2
- Supports DC/OS2
- Used in Hadoop1
- Embeddable In Java Service1
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Cons of Kubernetes
- Steep learning curve16
- Poor workflow for development15
- Orchestrates only infrastructure8
- High resource requirements for on-prem clusters4
- Too heavy for simple systems2
- Additional vendor lock-in (Docker)1
- More moving parts to secure1
- Additional Technology Overhead1