Weaveworks：获融$36.65M 云原生安全

Posted 2021-04-02 全球网安项目库

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【201208 Finsmes & 航行资本提供线索】Weaveworks, Inc., a London, UK-based GitOps-powered Kubernetes platform provider, raised $36.65m in Series C funding round.

【谷歌翻译未经校对】Weaveworks，Inc.是总部位于英国伦敦的基于GitOps的Kubernetes平台提供商，在C轮融资中筹集了3,665万美元。

Backers included Amazon Web Services (AWS), Ericsson, Orange Ventures, SonaeIM and Telekom Investment Pool (TIP) and follow-on investors Accel, GV, and Redline Capital.

支持者包括Amazon Web Services（AWS），爱立信，Orange Ventures，SonaeIM和Telekom Investment Pool（TIP）以及后续投资者Accel，GV和Redline Capital。

The company, which has raised a total of $60m to date, will use the capital to enhance its platform and accelerate market expansion.

迄今为止，该公司已筹集了总计6,000万美元的资金，将利用这笔资金改善其平台并加速市场扩张。

Led by Alexis Richardson, CEO, Weaveworks provides teams with a platform to adopt cloud native computing, managing cloud native infrastructure and applications quickly and at scale. The company helps infrastructure and platform teams build and operate their own Kubernetes application platform whether in the cloud, at the edge, or on-premise.

Weaveworks由首席执行官Alexis Richardson领导，为团队提供了一个平台，可采用云原生计算，从而快速，大规模地管理云原生基础架构和应用程序。该公司可帮助基础架构和平台团队构建和运行自己的Kubernetes应用程序平台，无论是在云中，在边缘还是在本地。

Weave Kubernetes Platform is an automated Git-based configuration management system which allows operations teams to control, secure and audit Kubernetes clusters configuration automating the rollout of a standardized self-service platform. Development teams then use GitOps to manage the full lifecycle of their applications, with guardrails in place to increase velocity and accelerate innovation for cloud, hybrid and edge deployments.

Weave Kubernetes平台是一个基于Git的自动化配置管理系统，它使运营团队可以控制，保护和审核Kubernetes集群配置，从而自动实施标准化自助服务平台。然后，开发团队使用GitOps来管理其应用程序的整个生命周期，并配备护栏以提高速度并加速云，混合和边缘部署的创新。

The platform is built on open source and designed to work alongside Amazon Elastic Kubernetes Service (Amazon EKS), further simplifying the adoption of Kubernetes on AWS.

该平台基于开源构建，旨在与Amazon Elastic Kubernetes服务（Amazon EKS）一起使用，从而进一步简化了Kubernetes在AWS上的采用。

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