Ubiquitous Cloud Native Service (UCS)
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Ubiquitous Cloud Native Service (UCS)

CCE Agile

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Heterogeneous Compute

CCE Agile is compatible with mainstream operating systems and supports multiple types compute such as GPU, NPU, Arm, and x86.

Leading Technologies

Huawei is a founding member and a platinum member of the Cloud Native Computing Foundation (CNCF) and is one of the first Kubernetes service providers certified by CNCF.

Open Ecosystem

CCE Agile is always up to date with stable Kubernetes community versions.

CCE Agile Architecture

Typical Application Scenarios
AI Computing

CCE Agile provides a container platform for AI computing. With Volcano intelligent scheduling, GPU virtualization, and Huawei Ascend processors, AI computing costs can be greatly reduced.

DevOps

By integrating with existing CI/CD pipelines, CCE Agile allows you to use source code for automatic code compilation, image building, grayscale releases, and containerized deployment, all in one place.

Traffic Management

Service traffic monitoring and management capabilities, such as load balancing, circuit breaking, and fault injection, allow for non-intrusive microservice governance. Grayscale release approaches such as canary releases and blue-green deployments enable one-stop, automated application deployment.

Edge Computing

KubeEdge is used as the kernel for a platform that provides cloud-edge-device synergy. Applications on the cloud can be extended to the edge, and the data at the edge can be transmitted to the cloud in real time for better remote management of edge computing resources, data processing, data analysis, and decision-making.

Why Huawei Cloud CCE Agile?

Develop and Modernize Your Applications

Develop and Modernize Your Applications

  • CCE Agile can work with existing continuous integration and continuous delivery (CI/CD) pipelines to containerize traditional applications and deploy them on the cloud.

  • CCE Agile can accelerate the delivery of AI-powered intelligent applications.

  • Enhanced service meshes enable you to implement grayscale releases, traffic management, and traffic monitoring easily without reconstructing existing applications.

  • Centralized scheduling and management of heterogeneous resources for edge computing maximizes performance and energy efficiency.

Leverage Huawei's Experience

Leverage Huawei's Experience

  • Over 200 customers from industries such as finance, smart manufacturing, energy, and Internet have completed digital transformation and industrial upgrade using CCE Agile.

  • CCE Agile, together with other Huawei container services, is highly recognized by authoritative evaluation organizations such as Gartner, Institute for Development and Communication (IDC), and Global Data Collection Company (GDCC).

Keep Advance with Leading Technologies

Keep Advance with Leading Technologies

  • Huawei is a founding member and a platinum member of Cloud Native Computing Foundation (CNCF) and is one of the first Kubernetes service providers certified by CNCF. CCE Agile is fully compatible with native versions of the community.

  • CCE Agile works with a select group of ISV partners in vertical segments to create differentiated competitiveness.

Ensure High Availability

Ensure High Availability

  • CCE Agile is compatible with various chips and servers and supports mainstream operating systems and application ecosystems.

  • Master nodes can be deployed in HA mode, and up to 5 master nodes can be deployed to provide high availability.

  • The control plane clusters are deployed across equipment rooms, and active/standby switchovers can be performed quickly in case of disasters or faults.

Diverse Application Scenarios for Fast Service Deployment

DevOps
Scenario

By integrating with existing CI/CD pipelines, CCE Agile allows you to use source code for automatic code compilation, image building, grayscale releases, and containerized deployment, all in one place.

Advantages
Streamlined Operations

Streamlined process interactions allow you to stay on top of your work by reducing the amount of coding needed by over 80%.

Easy Integration

A variety of APIs are provided for you to integrate with your existing CI/CD systems and enjoy the benefits of flexible customization.

High Performance

You can choose how to schedule your tasks freely with a fully containerized architecture that promotes more efficient execution.

Traffic Management
Scenario

Istio traffic management allows you to complete grayscale releases out of the box. You can observe and control your traffic without having to change any code.

Advantages
Out-of-the-Box Availability

CCE Agile is compatible with Kubernetes and Istio ecosystems, and service meshes can be enabled for traffic management in just a few clicks.

Intelligent Routing

Built-in grayscale release approaches (canary releases, blue-green deployments, and A/B testing), and grayscale release policies based on the percentages of traffic, request content (such as cookie values), and source IP addresses make traffic routing more intelligent.

Visibility Into Traffic

A graphical application topology enables you to observe service traffic, statuses, health, and performance.

AI Computing
Scenario

CCE Agile provides a container platform for AI computing. With Volcano intelligent scheduling, GPU virtualization, and Huawei Ascend processors, AI computing costs can be greatly reduced.

Advantages
Intelligent Scheduling

Volcano's diverse scheduling policies and seamless interconnection with mainstream computing frameworks make it possible for hybrid scheduling of common services and AI & big data services that require high-performance computing.

Efficient Computing

GPU virtualization enables multiple containers to share and schedule GPU resources, greatly reducing the computing cost. Huawei Ascend series AI processors also offer powerful AI compute for high-performance, low-cost computing.

Wide Application

CCE Agile supports mainstream GPU models and can be widely used in fields such as speech recognition, image recognition, natural language processing, intelligent recommendation, and intelligent driving.

Edge Computing
Scenario

Applications on the cloud can be extended to the edge, and the data at the edge can be transmitted to the cloud in real time for better remote management of edge computing resources, data processing, data analysis, and decision-making.

Advantages
Intelligent Scheduling

Node affinity and application affinity give you more control over your pod scheduling and improve the resource utilization and the availability of your applications.

Multi-Dimensional O&M

Monitoring on edge nodes and applications, log management and analysis on the cloud, quick fault locating improve the O&M efficiency.

On-Premises Management

Workloads can run normally even when edge nodes are disconnected from the central cloud networks.

Featured Partners

Featured Partners

Modernize applications through integration

iSoftStone provides an application delivery platform that helps enterprises quickly build stable software release processes and cultivate a DevOps culture.

Adaptive security for applications

Qingteng is a leading provider in overall cloud security solutions. It is firmly committed to cloud native security and providing customers with next-generation security solutions.

Cutting-edge data management and protection

Jibu Data is dedicated to data management and disaster recovery in cloud native environments. It is a leader and a promoter of excellent disaster recovery practices in the cloud native community.

AI-powered application innovation

BES System is devoted to middleware, intelligent O&M, and products or solutions based on big data and AI.

Full stack observability and monitoring

As one of the first enterprises that have obtained the Certified Observability Platform certification from CAICT, Guance provides comprehensive cloud native infrastructure and application monitoring.

Simplify database infrastructure

With the mission of "making database infrastructure simpler", WOQUTECH provides a high-performance, high-reliability platform that supports more than 18 types of databases.

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