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  5. Keepalived vs Zookeeper

Keepalived vs Zookeeper

OverviewComparisonAlternatives

Overview

Zookeeper
Zookeeper
Stacks889
Followers1.0K
Votes43
Keepalived
Keepalived
Stacks36
Followers59
Votes6

Keepalived vs Zookeeper: What are the differences?

  1. Key Difference 1: Scalability and Fault Tolerance Keepalived is primarily used for achieving high availability by providing failover and load balancing mechanisms. It allows for the distribution of client requests across multiple servers and allows a master server to automatically take over if the primary server fails. On the other hand, Zookeeper is a highly reliable, fault-tolerant coordination service that is designed for distributed systems. It provides a centralized system for maintaining configuration information and naming services, making it highly scalable and fault-tolerant.

  2. Key Difference 2: Consistency and Data Organization Keepalived primarily focuses on managing and monitoring IP addresses and virtual IPs to ensure high availability and load balancing. It does not provide features related to data organization and consistency. In contrast, Zookeeper focuses on providing a consistent view of distributed data by implementing a hierarchical namespace. It stores data in a tree-like structure, allowing clients to read and write data in a consistent and coordinated manner.

  3. Key Difference 3: Event Handling and Coordination Keepalived mainly handles failover and load balancing events by monitoring the availability of servers and triggering failover processes. It does not provide advanced event handling and coordination mechanisms. In contrast, Zookeeper is designed to handle distributed events and ensure coordination among multiple processes. It provides a high-performance notification system that enables clients to receive notifications when specific events occur or when data changes.

  4. Key Difference 4: Configuration Management Keepalived allows administrators to configure and manage virtual IPs, load balancing algorithms, and failover policies. It focuses on network-related configurations and management. Zookeeper, on the other hand, provides a centralized configuration management system that stores and manages configuration files, making it easier to manage and update configurations in a distributed system.

  5. Key Difference 5: Use Cases Keepalived is commonly used in scenarios where high availability and load balancing are required, such as web servers, proxy servers, and firewalls. It is primarily used for network infrastructure management. Zookeeper, on the other hand, is used in distributed applications and systems that require coordination, consensus, and synchronization among multiple processes or servers. It is commonly used in distributed computing platforms, big data systems, and distributed databases.

  6. Key Difference 6: Programming Interfaces Keepalived does not provide programming interfaces or client libraries for developers to integrate with their applications. It is primarily configured and managed through configuration files and command-line interfaces. In contrast, Zookeeper provides a comprehensive set of APIs and client libraries that allow developers to interact with the distributed coordination service programmatically. It provides support for multiple programming languages, making it easier for developers to integrate Zookeeper in their applications.

In Summary, Keepalived focuses on achieving high availability and load balancing in network infrastructure, while Zookeeper focuses on providing consistent data organization, coordination, and synchronization in distributed systems.

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CLI (Node.js)
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Detailed Comparison

Zookeeper
Zookeeper
Keepalived
Keepalived

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.

The main goal of this project is to provide simple and robust facilities for loadbalancing and high-availability to Linux system and Linux based infrastructures.

-
High availability; Job Scheduling,
Statistics
Stacks
889
Stacks
36
Followers
1.0K
Followers
59
Votes
43
Votes
6
Pros & Cons
Pros
  • 11
    High performance ,easy to generate node specific config
  • 8
    Java
  • 8
    Kafka support
  • 5
    Spring Boot Support
  • 3
    Supports extensive distributed IPC
Pros
  • 2
    Extremely fast (IPVS)
  • 2
    Load Balancer
  • 1
    Virtual IP HA with VRRP
  • 1
    2 nodes HA cluster management
Integrations
No integrations available
Linux
Linux
HAProxy
HAProxy

What are some alternatives to Zookeeper, Keepalived?

Consul

Consul

Consul is a tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.

Eureka

Eureka

Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers.

etcd

etcd

etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines. It’s open-source and available on GitHub. etcd gracefully handles master elections during network partitions and will tolerate machine failure, including the master.

SkyDNS

SkyDNS

SkyDNS is a distributed service for announcement and discovery of services. It leverages Raft for high-availability and consensus, and utilizes DNS queries to discover available services. This is done by leveraging SRV records in DNS, with special meaning given to subdomains, priorities and weights (more info here: http://blog.gopheracademy.com/skydns).

SmartStack

SmartStack

Scaling a web infrastructure requires services, and building a service-oriented infrastructure is hard. Make it EASY, with SmartStack’s automated, transparent service discovery and registration: cruise control for your distributed infrastructure.

Serf

Serf

Serf is a service discovery and orchestration tool that is decentralized, highly available, and fault tolerant. Serf runs on every major platform: Linux, Mac OS X, and Windows. It is extremely lightweight: it uses 5 to 10 MB of resident memory and primarily communicates using infrequent UDP messages.

Nacos

Nacos

It is an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.

Libraries.io

Libraries.io

It is an open source web service that lists software development project dependencies and alerts developers to new versions of the software libraries they are using.

ODD Platform

ODD Platform

It is a next-generation data discovery and observability tool for enterprises and startups that help to efficiently democratize data, powers collaboration of data science and data engineering teams, significantly reduces time to data discovery, cuts on data downtime and offers a modern, easy-to-use environment with quick time-to-value. It makes all your data entities reliable, observable, and easily discoverable.

Baker Street

Baker Street

Baker Street is an HAProxy-based client side load balancer that simplifies scaling, testing, and upgrading microservices.

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