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Description
Azkaban serves as a distributed Workflow Manager developed by LinkedIn to address the complexities of Hadoop job dependencies. There were instances where jobs required a specific order of execution, ranging from ETL processes to data analysis applications. Following the release of version 3.0, Azkaban offers two distinct operational modes: the standalone “solo-server” mode and the distributed multiple-executor mode. The solo-server mode utilizes an embedded H2 database, allowing both the web server and executor server to operate within the same process, making it ideal for initial experimentation or small-scale applications. In contrast, the multiple-executor mode is designed for serious production environments, requiring a MySQL database configured with a master-slave arrangement. Ideally, the web server and executor servers are hosted on separate machines to ensure that system upgrades and maintenance do not disrupt user experience. This configuration not only enhances Azkaban’s robustness but also significantly improves its scalability, making it suitable for larger, more complex workflows. By offering these two modes, Azkaban caters to a wide range of user needs, from casual experimentation to enterprise-level deployments.
Description
SmokePing is an advanced tool designed for measuring latency with precision. It not only records and showcases latency, but also tracks latency distribution and packet loss metrics. Utilizing RRDtool, SmokePing effectively manages a long-term data archive and generates visually appealing graphs that provide real-time insights into the status of various network connections. You can interact with any graph in detail mode, enabling you to highlight specific areas of interest using the navigator graph. Furthermore, it allows for the display of information from numerous targets within a single graph. Through a centralized Smokeping Master node, multiple Slave nodes can be deployed, inheriting their configurations from the master, which facilitates the ability to ping a single target from diverse locations simultaneously. The tool now incorporates standard deviation in various instances to quantify the fluctuations in round trip times as represented by the smoke signals. SmokePing supports a broad range of probes, including basic ping, web requests, and even custom protocols, making it highly versatile. Additionally, its master/slave deployment model enhances the capability to conduct measurements from various sources concurrently, providing a comprehensive view of network performance.
API Access
Has API
API Access
Has API
Integrations
Hadoop
IBM Databand
MySQL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Azkaban
Website
azkaban.github.io
Vendor Details
Company Name
SmokePing
Country
United States
Website
oss.oetiker.ch/smokeping/
Product Features
Product Features
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting