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What is Huawei Elastic Load Balance (ELB)?

The Elastic Load Balancer (ELB) is designed to efficiently distribute incoming traffic among various servers, aiding in workload balancing and improving both application reliability and service capacity. It has the capability to manage up to 100 million simultaneous connections, making it well-suited for handling substantial volumes of concurrent requests. Operating in a cluster mode, it ensures that services remain available at all times. When servers in a specific Availability Zone (AZ) are identified as unhealthy, ELB automatically directs traffic to functioning servers in other AZs, thus ensuring applications have the necessary capacity to handle varying workload demands. Additionally, ELB integrates with Auto Scaling, which allows for real-time adjustments to server counts while effectively managing traffic flow. It offers a diverse selection of protocols and routing algorithms, enabling you to customize traffic management strategies to meet your unique needs, all while streamlining the deployment process. This combination of features makes ELB an indispensable asset for enhancing the performance and resilience of applications, while also allowing for seamless scalability as demands evolve. Ultimately, its robust capabilities empower organizations to deliver more reliable and responsive services to their users.

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

Hadoop
Huawei Cloud
IBM watsonx.data integration
MySQL

Integrations Supported

Hadoop
Huawei Cloud
IBM watsonx.data integration
MySQL

API Availability

Has API

API Availability

Has API

Pricing Information

$0.02
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Huawei

Date Founded

1987

Company Location

China

Company Website

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

Company Facts

Organization Name

Azkaban

Company Website

azkaban.github.io

Categories and Features

Load Balancing

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

Categories and Features

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