Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Auto Scaling is a service designed to dynamically adjust computing resources in response to fluctuations in user demand. When there is an uptick in requests, it seamlessly adds ECS instances to accommodate the increased load, while conversely, it reduces the number of instances during quieter times to optimize resource allocation. This service not only adjusts resources automatically based on predefined scaling policies but also allows for manual intervention through scale-in and scale-out options, giving you the flexibility to manage resources as needed. During high-demand periods, it efficiently expands the available computing resources, ensuring optimal performance, and when demand wanes, Auto Scaling efficiently retracts ECS resources, helping to minimize operational costs. Additionally, this adaptability ensures that your system remains responsive and cost-effective throughout varying usage patterns.
Description
You determine the cluster size, node specifications, and a range of services, while Yandex Data Proc effortlessly sets up and configures Spark, Hadoop clusters, and additional components. Collaboration is enhanced through the use of Zeppelin notebooks and various web applications via a user interface proxy. You maintain complete control over your cluster with root access for every virtual machine. Moreover, you can install your own software and libraries on active clusters without needing to restart them. Yandex Data Proc employs instance groups to automatically adjust computing resources of compute subclusters in response to CPU usage metrics. Additionally, Data Proc facilitates the creation of managed Hive clusters, which helps minimize the risk of failures and data loss due to metadata issues. This service streamlines the process of constructing ETL pipelines and developing models, as well as managing other iterative operations. Furthermore, the Data Proc operator is natively integrated into Apache Airflow, allowing for seamless orchestration of data workflows. This means that users can leverage the full potential of their data processing capabilities with minimal overhead and maximum efficiency.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Apache Airflow
No
Apache Flume
No
Apache HBase
No
Apache Hive
No
Apache Spark
No
Apache Zeppelin
No
F5 Distributed Cloud DDoS Mitigation Service
Yes
Hadoop
No
Matplotlib
No
NumPy
No
Integrations
Apache Airflow
Yes
Apache Flume
Yes
Apache HBase
Yes
Apache Hive
Yes
Apache Spark
Yes
Apache Zeppelin
Yes
F5 Distributed Cloud DDoS Mitigation Service
No
Hadoop
Yes
Matplotlib
Yes
NumPy
Yes
Pricing Details
This service is available free of charge. You will be only charged for the standard cost of adding additional ECS resources.
Free Trial
No
Free Version
No
Pricing Details
$0.19 per hour
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
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
Yes
Live Rep (24/7)
No
Online Support
No
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
Alibaba Cloud
Founded
2009
Country
China
Website
www.alibabacloud.com/product/auto-scaling
Vendor Details
Company Name
Yandex
Founded
1997
Country
Russia
Website
cloud.yandex.com/en/services/data-proc
Product Features
Server Virtualization
Audit Management
Yes
Health Monitoring
Yes
Live Machine Migration
No
Multi-OS Virtual Machines
No
Patching / Backup
No
Performance Log
Yes
Performance Optimization
Yes
Rapid Provisioning
Yes
Security Management
No
Type 1 / Type 2 Hypervisor
No