🌐 The Internet Computer! Free, Open-Source, and Self-Hostable. - HeyPuter/puter
Infos about the logging and metrics process in cloud foundry deployments; covers exposition of prometheus style metrics endpoints.
Quantum Computing Cloud Environment
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A Kubernetes Native Java stack tailored for GraalVM & OpenJDK HotSpot, crafted from the best of breed Java libraries and standards.
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<p>We recently announced the general availability of <a href="https://content.pivotal.io/blog/spring-cloud-services-3-0-includes-new-and-improved-config-server">Spring Cloud Services 3.0</a>, which involved a major redesign of the previous architecture used in that project. As detailed in the related blog post, Spring Cloud Services has moved to the latest versions of Spring Framework and Spring Boot, and is now built on a Reactive programming model and Spring WebFlux. Two key components of this redesign are offered as open source Spring Cloud projects.</p>
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<p>The first project is <a href="https://spring.io/projects/spring-cloud-open-service-broker">Spring Cloud Open Service Broker</a>. This project has been available for some time; however, the recent <a href="https://spring.io/blog/2019/04/29/spring-cloud-open-service-broker-3-0-0-released">3.0.0 release</a> has itself been redesigned to incorporate a Reactive programming model and updated to support Spring WebFlux.</p>
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The second CheConf of the year showcased community use cases and previewed Che 7's broad extensibility.
Apache OpenWhisk (Incubating) is an open source, distributed Serverless platform that executes functions (fx) in response to events at any scale. OpenWhisk manages the infrastructure, servers and scaling using Docker containers so you can focus on building amazing and efficient applications.
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Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere. Docker containers can encapsulate any payload, and will run consistently on and between virtually any server. The same container that a developer builds and tests on a laptop will run at scale, in production*, on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above. Common use cases for Docker include: Automating the packaging and deployment of applications Creation of lightweight, private PAAS environments Automated testing and continuous integration/deployment Deploying and scaling web apps, databases and backend services
Self-hosting distributed sharing solution