Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Hadoop
Yes
Huawei Cloud
No
IBM watsonx.data integration
Yes
MySQL
Yes
Integrations
Hadoop
No
Huawei Cloud
Yes
IBM watsonx.data integration
No
MySQL
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.02
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
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
No
Automatic Configuration
No
Content Caching
No
Content Routing
No
Data Compression
No
Health Monitoring
No
Predefined Protocols
No
Redundancy Checking
No
Reverse Proxy
No
SSL Offload
No
Schedulers
No