Overview
Derived from the open-source Kubernetes platform, Alto Kubernetes Engine (AKE) offers container-focused, highly scalable, and high-performance container management services. It’s fully compatible with Kubernetes’ native API and can integrate with Cloud’s Kubernetes plugins like CBS and CLB. AKE provides a comprehensive suite of features for containerized applications, including streamlined deployment, resource allocation, service discovery, and dynamic scaling. It ensures consistent environments across development, testing, and operations, simplifying the management of large container clusters and enhancing cost efficiency and productivity. AKE itself is free, while additional paid cloud services are billed separately.
Benefits
Ecosystem And Openness
AKE seamlessly integrates with the full spectrum of Kubernetes features and is tailored to Cloud’s foundational IaaS offerings like CVM and CBS. Moreover, Cloud’s Kubernetes-driven products, including CBS and CLB, enable one-click deployment to container clusters for numerous open-source applications, significantly enhancing deployment efficiency.
Secure And Reliable
AKE operates on a dedicated Cloud Virtual Machine (CVM) instance with computing resources reserved solely for the tenant. The cluster operates within a VPC and accommodates custom security groups and network ACLs. Employing a distributed service architecture for management, AKE facilitates automated failure recovery and swift data migration. Coupled with distributed storage for stateful service backends, it ensures both high service availability and robust data security.
Easy To Use
With AKE, managing large-scale clusters and distributed application OPS becomes straightforward, eliminating the need for cluster management software or designing fault-tolerant architectures. Just launch AKE, define your tasks, and it handles all cluster management, letting you concentrate on developing Dockerized applications.
Efficient Deployment
AKE operates on a high-performance BGP network, facilitating swift image downloads and uploads, near-instant container launches in seconds, and enhanced container deployment efficiency. It rapidly builds, tests, and packages submitted business code, deploying the consolidated code to both pre-release and production environments.
Flexible Expansion
AKE offers elastic cluster hosting, simplifying the scheduling of persistent applications and batch jobs to scale your business. It integrates Load Balancing and facilitates traffic distribution across multiple containers, automating the recovery of unhealthy containers and ensuring the container count aligns with your application support requirements.
Cost Efficient
For a modest fee, you gain access to a highly stable, reliable, and scalable cluster control plane, letting you concentrate on developing containerized applications without worrying about cluster management and upkeep.
Features
Cluster Management
AKE supports dynamic scaling of clusters and vertical scaling of nodes. The nodes in the cluster are manageable and deployable across availability zones, and the containers in the service are schedulable across
Service Management
Improved service deployment efficiency
Service versions are managed via templates, ensuring environmental consistency with images for swift service migration. It supports service discovery, allowing access to services through load balancing.
Configuration Management
Manageable business configurations of different environments
Multiple environments for the same applications can be deployed, simplifying updates and rollbacks.
Image Management
Official Dockerhub Image Management
Accelerated retrieval of official Dockerhub images is available.
Private Image Management
A secure and dependable private image repository is available.
Scenarios
Micro-service Architecture
Continuous Integration and Delivery
Elastic Scaling
AKE features elastic scalability at both the cluster and service levels. It can automatically scale up or down by monitoring container indicators such as CPU, memory, and bandwidth based on the operation status of the business. Meanwhile, it can automatically scale the cluster according to the deployment conditions of the container when resources are insufficient or excessive.
For example, a web application can be split into a set of simpler external services and multiple sets of internal services.
The best-in-class DevOps environment enabled by continuous integration and delivery can greatly improve the release efficiency of software. Continuous integration focuses on construction and (unit) testing upon submission of new code by developers to check whether the new code can be properly packaged and integrated with the existing code. Continuous delivery deploys the integrated code to pre-release or production environments based on continuous integration.
AKE features elastic scalability at both the cluster and service levels. It can automatically scale up or down by monitoring container indicators such as CPU, memory and bandwidth based on the operation status of the business. Meanwhile, it can automatically scale the cluster according to the deployment conditions of the container when resources are insufficient or excessive.
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