Showing 3 open source projects for "git:/git.code.sf.net/p/docfetcher/code"

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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • 1
    Weaveworks GitOps Tools Extension

    Weaveworks GitOps Tools Extension

    GitOps Visual Studio Code Extension

    ...Use this extension to visualize, configure and debug Flux objects (sources and workloads) needed for GitOps workflows. For example, with this extension you can create a Flux GitRepository source object that tracks a Git repository containing Kubernetes manifests for your application. Then add a Kustomization workload object that periodically applies (reconciles) the manifests from the repository to your cluster. Now your Kubernetes changes are managed through git.
    Downloads: 0 This Week
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  • 2
    OTOMI

    OTOMI

    Self-hosted DevOps Platform for Kubernetes

    Otomi is an open source self-hosted PaaS to run on top of any Kubernetes cluster and is placed in the CNCF landscape under the PaaS/Container Service section. A PaaS attempts to connect many of the technologies found in the CNCF landscape in a way to provide direct value. Deploy containerized apps with a few click without writing any K8s YAML manifests. Get access to logs and metrics of deployed apps. Store charts and images in a private registry. Build and run custom CI pipelines. Enable...
    Downloads: 1 This Week
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  • 3
    AWS Toolkit for Azure DevOps

    AWS Toolkit for Azure DevOps

    AWS Toolkit for Azure DevOps

    The AWS Toolkit for Azure DevOps adds tasks to easily enable build and release pipelines in Azure DevOps (formerly VSTS) and Azure DevOps Server (previously known as Team Foundation Server (TFS)) to work with AWS services including Amazon S3, AWS Elastic Beanstalk, AWS CodeDeploy, AWS Lambda, AWS CloudFormation, Amazon Simple Queue Service and Amazon Simple Notification Service, and run commands using the AWS Tools for Windows PowerShell module and the AWS CLI. This is an open source project because we want you to be involved. We love issues, feature requests, code reviews, pull requests or any positive contribution. To enable tasks to call AWS services when run as part of your build or release pipelines AWS credentials need to have been configured for the tasks or be available in the host process for the build agent. Note that the credentials are used specifically by the tasks when run in a build agent process, they are not related to end-user logins to your Azure DevOps instance.
    Downloads: 0 This Week
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