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  1. Stackups
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  4. Service Discovery
  5. Baker Street vs Zookeeper

Baker Street vs Zookeeper

OverviewComparisonAlternatives

Overview

Zookeeper
Zookeeper
Stacks889
Followers1.0K
Votes43
Baker Street
Baker Street
Stacks0
Followers12
Votes0
GitHub Stars226
Forks18

Baker Street vs Zookeeper: What are the differences?

# Introduction
In this comparison, we will highlight the key differences between Baker Street and Zookeeper.

1. **Location**: Baker Street is a famous street in the Marylebone district of the City of Westminster in London, known for its association with the fictional detective Sherlock Holmes. On the other hand, Zookeeper is a distributed coordination service for maintaining configuration information, naming, providing distributed synchronization, and group services.

2. **Functionality**: Baker Street primarily serves as a significant landmark and tourist attraction, drawing visitors with its Sherlock Holmes connections. In contrast, Zookeeper is a specialized tool designed for distributed systems to handle tasks related to coordination, synchronization, and managing group services.

3. **Primary Users**: Baker Street caters to tourists, Sherlock Holmes fans, and those interested in the history and culture of London. Zookeeper, on the other hand, is more commonly used by developers, system administrators, and engineers working on distributed systems and cloud computing environments.

4. **Scope of Use**: Baker Street's main purpose is as a physical location with historical significance and cultural value, offering experiences related to literature and storytelling. Meanwhile, Zookeeper is a software tool used in the backend of applications to ensure consistency and synchronization across multiple nodes in a distributed system.

5. **Physical vs Virtual**: Baker Street exists physically as a street in London, while Zookeeper exists as a software program that can be implemented and utilized virtually in data centers or cloud environments.

6. **Integration**: Baker Street does not offer integration capabilities with software systems, as it is a historical site, whereas Zookeeper is designed to integrate seamlessly with various applications and frameworks to provide coordination services for distributed setups.

In Summary, Baker Street is a famous London street rooted in history and culture, while Zookeeper is a specialized distributed coordination service essential for managing complex systems. 

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Detailed Comparison

Zookeeper
Zookeeper
Baker Street
Baker Street

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.

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

-
automatically splitting traffic among all healthy services sharing the same name in the system;making load balancing more efficient and robust by using local load balancers;removing problematic instances from the rotation more quickly by using local health checkers
Statistics
GitHub Stars
-
GitHub Stars
226
GitHub Forks
-
GitHub Forks
18
Stacks
889
Stacks
0
Followers
1.0K
Followers
12
Votes
43
Votes
0
Pros & Cons
Pros
  • 11
    High performance ,easy to generate node specific config
  • 8
    Kafka support
  • 8
    Java
  • 5
    Spring Boot Support
  • 3
    Supports extensive distributed IPC
No community feedback yet

What are some alternatives to Zookeeper, Baker Street?

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.

Keepalived

Keepalived

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.

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.

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