cncf

Cloud Native Computing Foundation Announces Fluentd Graduation

SAN FRANCISCO, Calif. – April 11, 2019 – The Cloud Native Computing Foundation® (CNCF®), which sustains open source technologies like Kubernetes® and Prometheus™, today announced that Fluentd is its sixth project to graduate, following Kubernetes, Prometheus, Envoy, CoreDNS and containerd. To move from the maturity level of incubation to graduation, projects must demonstrate thriving adoption, a documented, structured governance process, and a strong commitment to community sustainability and inclusivity. Fluentd was created in 2011 by Sadayuki “Sada” Furuhashi, co-founder of Treasure Data, Inc.
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Cloud Native Computing Foundation Announces CoreDNS Graduation

SAN FRANCISCO, Calif., January 24, 2018 – The Cloud Native Computing Foundation® (CNCF®), which sustains open source technologies like Kubernetes® and Prometheus™, today announced that CoreDNS is the first project of 2019 to graduate, following last year’s graduations of Kubernetes, Prometheus, and Envoy. To move from the maturity level of incubation to graduation, projects must demonstrate thriving adoption, diversity, a formal governance process, and a strong commitment to community sustainability and inclusivity.
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CNCF to Host etcd

Today, the Cloud Native Computing Foundation (CNCF) Technical Oversight Committee (TOC) voted to accept etcd as an incubation-level hosted project from KubeCon + CloudNativeCon Seattle. All Kubernetes clusters use etcd as their primary data store. As such, it handles storing and replicating data for Kubernetes cluster state and uses the Raft consensus algorithm to recover from hardware failure and network partitions. In addition to Kubernetes, Cloud Foundry also uses etcd as their distributed key-value store.
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The “Function” Package – Creating a Spec for Serverless Application Packaging

Creating serverless applications is a multi-step process. One of the critical steps in this process is packaging the serverless functions you want to deploy into your FaaS (Function as a Service) platform of choice. Before a function can be deployed it needs two types of dependencies: direct function dependencies and runtime dependencies. Let’s examine these two types. Direct function dependencies– These are objects that are part of the function process itself and include: Runtime function dependencies– This is data related to the runtime aspects of your function.
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