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What is SmokePing?

SmokePing is a sophisticated tool specifically developed for accurate latency measurement. Beyond merely logging and demonstrating latency, it also monitors the distribution of latency and the metrics of packet loss. By leveraging RRDtool, SmokePing manages a comprehensive long-term data repository and generates visually appealing graphs that deliver real-time insights into the conditions of different network connections. Users can explore any graph in detail mode, which allows for the highlighting of particular areas of interest with the aid of a navigator graph. Moreover, it provides the capability to showcase data from multiple targets within a single graph, thereby enhancing its utility. A centralized Smokeping Master node allows for the deployment of multiple Slave nodes, which inherit their configurations from the master, enabling the simultaneous pinging of a single target from various locations. Recently, the tool has integrated standard deviation metrics in several instances to effectively measure the variations in round trip times as illustrated by the smoke signals. SmokePing is compatible with an extensive array of probes, including standard ping, web requests, and even custom protocols, which adds to its versatility. Its master/slave architecture not only streamlines the measurement process but also allows for simultaneous assessments from different sources, thereby offering an enriched perspective on overall network performance. As a result, users can make more informed decisions based on a thorough analysis of their network's latency and reliability.

What is Azkaban?

Azkaban is a distributed workflow management system created by LinkedIn to tackle the challenges related to Hadoop job dependencies. We encountered situations where jobs needed to run in a specific order, which spanned various applications from ETL processes to data analytics. Following the launch of version 3.0, we established two operational configurations: the standalone "solo-server" mode and the distributed multi-executor mode. The upcoming sections will clarify the differences between these two modes. In the solo server mode, the system utilizes the embedded H2 database, and both the web server and executor server run within the same process, making it suitable for small-scale applications or experimentation. In contrast, the multiple executor mode is designed for more serious production scenarios and necessitates a more sophisticated configuration with a MySQL database set up in a master-slave structure. To improve user experience, it is advisable for the web server and executor servers to operate on different hosts, which helps ensure that upgrades and maintenance do not interfere with service continuity. This architectural choice not only boosts the scalability of Azkaban but also enhances its resilience and efficiency when managing intricate workflows. Ultimately, these operational modes provide flexibility to users while meeting a variety of workflow demands.

Media

Media

Integrations Supported

Integrations Supported

Hadoop
IBM watsonx.data integration
MySQL

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

SmokePing

Company Location

United States

Company Website

oss.oetiker.ch/smokeping/

Company Facts

Organization Name

Azkaban

Company Website

azkaban.github.io

Categories and Features

Network Management

Not specified

Network Monitoring

Not specified

Categories and Features

Data Pipeline

Not specified

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