An agile and secure serverless container instance service.
Elastic Container Instance (ECI) is an agile and secure serverless container instance service. You can easily run containers without managing servers. Also you only pay for the resources that have been consumed by the containers. ECI helps you focus on your business applications instead of managing infrastructure.
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To run containers, you only need to provide container ../../images, without the need to manage the servers that run the containers.
You can run containers without the need to manage clusters and maintain the servers that run the containers.
To schedule and deploy resources, you only need to declare the compute capability.
Multiple container group specifications are available. You can choose to add containers of different specifications to a container group as needed.
Containers have a minimum specification of 0.25 vCPU and 0.5 GB memory.
Container groups have a minimum specification of 1 vCPU and 2 GB memory.
Both containers and container groups have a maximum specification of 4 vCPUs and 16 GB memory.
This service is billed based on the container instance running time and the amount of resources that the instance has consumed during the running time.
Fees are calculated based on the container instance running time.
Per-second billing is used and the billing cycle is 1 hour.
You can start multiple containers and deploy these containers in seconds.
You can use the Kubernetes API to schedule container instances as pods.
Based on Virtual Kubelet, ECI supports the Kubernetes API.
Elastic Bursting
Automatically scales up compute capacity during traffic spikes.
You can use ECI to automatically provision additional compute resources for your business to avoid system failures during traffic spikes and prevent resource waste due to excessive resource provisioning.
Benefits
Simplicity and Management
Quickly provisions compute resources and complies with Kubernetes.
Fast Startup and Up-scaling
Containers can be started and scaled up in seconds.
Usage on Demand
You can release container instances as needed, without the need to provision underlying resources.
Data Processing Tasks
Large Amounts of Online Data Processing Tasks
Based on business data processing needs, ECI can create a large number of nodes in a short period of time to handle big data and online AI requests.
Benefits
Hybrid Scheduling
ECI supports hybrid scheduling and deployment of CPU/GPU resources and virtual machines/bare metal servers.
Scalable Tasks
Multiple container group specifications are available, allowing you to encapsulate container groups into tasks for applications and services.
Billing Per-usage
Container instances are billed based on the their running time and the actual usage of resources.
DevOps Continuous Delivery
You can use ECI to achieve automated continuous delivery.
ECI works with DevOps workflows to automatically complete container deployment, and accelerate testing case execution and sandbox environment establishment. This also enables you to create and delete containers at anytime.
Benefits
DevOps Automation
ECI supports automation and up-scaling without the need to create and maintain clusters.
Environment Consistency
Containerized immutable infrastructure is supported.
Deep Integration
ECI provides a set of debugging, monitoring, and log analysis tools.
Event-driven Serverless Container Engine
Serverless Container Infrastructure
The container infrastructure is serverless and event-driven. It is capable of cost-effectively handling highly concurrent container instance schedules and events.
Benefits
Benefits
Complex Task Scheduling
Provides a stable environment to run complex tasks.
Auto Scaling
Containers can be started and automatically scaled up in seconds.
Billing Per-usage
Container instances are billed based on the their running time and the actual usage of resources.
Huihe Marketing
Big data-based precision marketing
Huihe Marketing has built a core precision marketing platform based on big data by using MaxCompute. On this platform, MaxCompute stores all logs, and DataWorks performs offline scheduling and analysis.
Benefits
Benefits
Cost-effective analysis of large amounts of data
Performs statistics and analysis of large amounts of logs to ensure cost-effective development.
Real-time data searching and analysis
The system responds to customer search requests in milliseconds and returns the number of users of a specified tag.
User-friendly machine learning platform
The revenue of the precision marketing provider depends on the quality of algorithm models.
PING++
Analysis of large amounts of marketing data
Currently, Ping++ deals with millions of transactions each day. Therefore, Ping++ needs to use a secure, reliable, and stable big data platform. This platform analyzes large amounts of transaction data to enhance business efficiency and to increase user loyalty.
Benefits
Challenges
Innovative
The comprehensive big data platform provides a variety of features, such as storage, computing, BI, and machine learning.
Quick and cost-effective
The Internet-based enterprise can provide Ping++ in a cost-effective method.
Secure, stable, and reliable
The system provides strict data privacy and protection. Users can only analyze their own data.
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