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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

Elastic Load Balancer (ELB) effectively manages the distribution of incoming traffic across multiple servers, which helps in balancing their workloads and enhances both the service capabilities and fault tolerance of applications. Capable of handling as many as 100 million concurrent connections, ELB meets the demands of managing large volumes of simultaneous requests. It operates in a cluster mode, ensuring continuous service availability. In cases where servers within an Availability Zone (AZ) are deemed unhealthy, ELB seamlessly redirects traffic to healthy servers located in other AZs. This functionality guarantees that applications consistently maintain adequate capacity to accommodate fluctuating workload levels. Furthermore, ELB works in conjunction with Auto Scaling, allowing for dynamic adjustments in server numbers while efficiently routing incoming traffic. With a wide array of protocols and routing algorithms at your disposal, you can tailor traffic management policies to fit your specific requirements, all while simplifying deployments. The integration of these features positions ELB as an essential tool for optimizing application performance and reliability.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hadoop
Huawei Cloud
IBM watsonx.data integration
MySQL

Integrations

Hadoop
Huawei Cloud
IBM watsonx.data integration
MySQL

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.02
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

Huawei

Founded

1987

Country

China

Website

www.huaweicloud.com/intl/en-us/product/elb.html

Product Features

Product Features

Load Balancing

Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload
Schedulers

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