Search Results for "batch scanning software"
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Showing 8 open source projects for "batch scanning software"
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Volcano
A Cloud Native Batch System (Project under CNCF)
Volcano is a batch system built on Kubernetes. It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including machine learning/deep learning, bioinformatics/genomics, and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. Volcano builds upon a decade and a half of experience running a wide variety of... -
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Harbor
An open source trusted cloud native registry project that stores
Harbor is an open-source trusted cloud native registry project that stores, signs, and scans content. Harbor extends the open-source Docker Distribution by adding the functionalities usually required by users such as security, identity and management. Having a registry closer to the build-and-run environment can improve the image transfer efficiency. Harbor supports replication of images between registries, and also offers advanced security features such as user management, access control... -
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Loggifly
Get Alerts from your Docker Container Logs
LoggiFly is a lightweight, open-source monitoring tool designed to watch Docker container logs in real time and trigger alerts, notifications, or automated actions based on predefined keywords or regular expression patterns. Instead of manually scanning logs for issues or relying solely on centralized monitoring stacks, LoggiFly proactively inspects streams of container output and notifies users through services like Ntfy, Slack, Discord, Telegram, or webhooks when significant events occur.... -
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Trivy Operator
Kubernetes-native security toolkit
The Trivy Operator leverages Trivy to continuously scan your Kubernetes cluster for security issues. The scans are summarised in security reports as Kubernetes Custom Resource Definitions, which become accessible through the Kubernetes API. The Operator does this by watching Kubernetes for state changes and automatically triggering security scans in response. For example, a vulnerability scan is initiated when a new Pod is created. This way, users can find and view the risks that relate to... -
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Kueue
Kubernetes-native Job Queueing
Kueue is a set of APIs and controllers for job queueing. It is a job-level manager that decides when a job should be admitted to start (as in pods can be created) and when it should stop (as in active pods should be deleted). Use Kueue to build a multi-tenant batch service with quotas and a hierarchy for sharing resources among teams in your organization. Based on the available quotas, Kueue decides when jobs should wait and when and where they should run. Kueue works in combination with... -
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Amazon ECS Container Agent
Amazon Elastic Container Service Agent
Run highly secure, reliable, and scalable containers. Launch thousands of containers across the cloud using your preferred continuous integration and delivery (CI/CD) and automation tools. Optimize your time with AWS Fargate serverless compute for containers, which eliminates the need to configure and manage control plane, nodes, and instances. Save up to 50 percent on compute costs with autonomous provisioning, auto-scaling, and pay-as-you-go pricing. Integrate seamlessly with AWS... -
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KubeClarity
KubeClarity is a tool for detection and management of vulnerabilities
KubeClarity is a tool for detection and management of Software Bill Of Materials (SBOM) and vulnerabilities of container images and filesystems. It scans both runtime K8s clusters and CI/CD pipelines for enhanced software supply chain security. Effective vulnerability scanning requires an accurate Software Bill Of Materials (SBOM) detection. KubeClarity includes a CLI that can be run locally and especially useful for CI/CD pipelines. -
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kube-batch
A batch scheduler of kubernetes for high performance workload
kube-batch is a batch scheduler for Kubernetes, providing mechanisms for applications which would like to run batch jobs leveraging Kubernetes. It builds upon a decade and a half of experience on running batch workloads at scale using several systems, combined with best-of-breed ideas and practices from the open source community.
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