Showing 7 open source projects for "devops"

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  • 1
    Porter

    Porter

    Kubernetes powered PaaS that runs in your own cloud

    Porter is a fully-managed PaaS that lets teams automate DevOps. Deploy and manage apps within AWS, GCP, DO, and more. Porter manages and scales services in your existing cloud so you can focus on building products. Deploy in seconds from a Git repo or Docker registry. Porter simplifies service management while still offering the flexibility of a fully-featured DevOps platform when you need it.
    Downloads: 0 This Week
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  • 2
    Consul

    Consul

    Service networking solution to connect applications across any cloud

    ...Consul enables detecting the deployment of new services, changes to existing ones, and provides real time agent health to reduce downtime. Consul offers support for and integrations with many popular DevOps and Networking tools.
    Downloads: 11 This Week
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  • 3
    Gardener

    Gardener

    Kubernetes-native system managing the full lifecycle of Kubernetes

    Kubernetes-native system managing the full lifecycle of conformant Kubernetes clusters as a service on Alicloud, AWS, Azure, GCP, OpenStack, EquinixMetal, vSphere, MetalStack, and Kubevirt with minimal TCO. Kubernetes is a cloud-native enabler built around the principles of a resilient, manageable, observable, highly automated, loosely coupled system. Gardener is a standard Kubernetes extension and adheres to the same concepts by design. The Gardener project is committed to fostering an open...
    Downloads: 8 This Week
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  • 4
    KubeSphere

    KubeSphere

    The container platform tailored for Kubernetes multi-cloud, datacenter

    ...It provides a plug-and-play architecture, allowing third-party applications to be seamlessly integrated into its ecosystem. KubeSphere is also a multi-tenant container platform with full-stack automated IT operation and streamlined DevOps workflows. It provides developer-friendly wizard web UI, helping enterprises to build out a more robust and feature-rich platform, which includes most common functionalities needed for enterprise Kubernetes strategy, see Feature List for details. KubeSphere Lite provides you with free, stable, and out-of-the-box managed cluster service. ...
    Downloads: 10 This Week
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    Forever Free Full-Stack Observability | Grafana Cloud

    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

    Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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  • 5
    DTail

    DTail

    DTail is a distributed DevOps tool for tailing, grepping, catting logs

    DTail (a distributed tail program) is a DevOps tool for engineers programmed in Google Go for following (tailing), catting and grepping (including gzip and zstd decompression support) log files on many machines concurrently. An advanced feature of DTail is to execute distributed MapReduce aggregations across many devices. For secure authorization and transport encryption, the SSH protocol is used.
    Downloads: 7 This Week
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  • 6
    Infracost

    Infracost

    Cloud cost estimates for Terraform in pull requests

    ...Infracost integrates into CI/CD so everyone knows the cost impact of changes without leaving the workflow. Infracost integrates with Open Policy Agent, Sentinel, and Conftest, enabling DevOps teams to set best practices as policies. Infracost automatically creates detailed, shareable cost estimates which can be sent to clients and managers with different scenarios. Infracost supports over 230 Terraform resources across AWS, Azure and Google. Other IaC tools, such as Pulumi, AWS CloudFormation/CDK and Azure ARM/Bicep are on our roadmap. ...
    Downloads: 9 This Week
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  • 7
    Halfrost-Field Frostland

    Halfrost-Field Frostland

    This is the place to blog

    ...For example, there is a full machine learning course outline (regression, neural networks, SVMs, unsupervised learning, anomaly detection, large-scale ML, even application examples like OCR), that reads like a self-study curriculum. Beyond ML, the repo reflects the author’s interests across cloud native infra, distributed systems, programming languages (Go, Rust), DevOps, algorithms, and more — making it a broad reference for learners or engineers seeking well-written, deep-dive articles.
    Downloads: 0 This Week
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