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DevOps Practice

Support different business types and technical architectures, and realize O&M automation, efficient R&D, testing, integration and delivery

Background

With the popularity of cloud computing, micro-service and the rapid development of container technology, traditional R&D mode and O&M management systems no longer meet needs in the context of new IT forms (rapid response, quick implementation and high-quality delivery). IT departments in many enterprises try to realize technical innovation by implementing DevOps. By following the key philosophy of DevOps, DevOps is extended to K8S: GitOps has also came into being.

Customer Requirements

  • Infrastructure resources

    Rapid deployment and improved IT stability;

  • CI/CD

    Make the whole software process faster and more reliable by the R&D automation process;

  • Container orchestration

    Build a standard container gitflow to manage and schedule the container life cycle.

Architecture

ECCOM DevOps includes three aspects: infrastructure as code (IaC), continuous integration and delivery, and containerization. It supports different business types and technical architectures, and provides multiple capabilities such as agile collaboration, code management, pipeline engine, build engine, code inspection, automatic testing, and metrics, and realize O&M automation, efficient R&D, testing, integration, and delivery in one stop.

Features

IaC

Cloud resources are orchestrated with code templates to deliver such resources at high level and high efficiency.

CI/CD

Accelerate software development, testing and delivery. Guarantee the quality of delivery and improve the efficiency of delivery through automated pipeline from the perspective of product life cycle.

Containerization

Covering the whole life cycle of K8S management, it provides the ability to deploy multi-language environment with one click. It is efficient and convenient. It provides better O&M observability, revision control, MOC and audit.

Related Contents

Devops

It provides unified R&D tools, integrates processes and maximizes R&D productivity

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