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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
Execute code within a secure, resilient, and automatically scalable framework without the need to create or manage virtual machines. As the demand for function executions rises, the service dynamically provisions extra instances of your function to handle the increased load. All functions operate concurrently, and the runtime environment is distributed across three availability zones to maintain service continuity even if one zone experiences issues. You can set up and ready function instances to handle incoming requests efficiently, which helps to eliminate cold starts and allows for the rapid processing of workloads of any magnitude. Grant your functions access to your Virtual Private Cloud (VPC) to enhance communication with private resources, including database clusters, virtual machines, and Kubernetes nodes. Additionally, Serverless Functions monitors and logs details about function executions, providing insights into operational flow and performance metrics; you also have the option to specify logging methods within your function's code. Furthermore, you can initiate cloud functions in both synchronized mode and with delayed execution capabilities for greater flexibility. This approach allows for streamlined processes that can adapt to varying workloads efficiently.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Bash
No
C#
No
Go
No
Hadoop
Yes
IBM watsonx.data integration
Yes
Java
No
Kubernetes
No
MySQL
Yes
Node.js
No
PHP
No
Integrations
Bash
Yes
C#
Yes
Go
Yes
Hadoop
No
IBM watsonx.data integration
No
Java
Yes
Kubernetes
Yes
MySQL
No
Node.js
Yes
PHP
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.012240 per GB
Free Trial
Yes
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
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
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
Yandex
Founded
1997
Country
Russia
Website
cloud.yandex.com/en/services/functions
Product Features
Product Features
Serverless
API Proxy
No
Application Integration
No
Data Stores
No
Developer Tooling
No
Orchestration
No
Reporting / Analytics
No
Serverless Computing
No
Storage
No