Search Results for "cluster"

The k8s-for-docker-desktop project automates the enablement and configuration of Kubernetes (and optionally Istio) on Docker Desktop installations for macOS and Windows. It helps users bootstrap a working Kubernetes cluster running inside Docker Desktop by loading required images, setting contexts, and applying manifests, thus reducing the manual setup friction. The repository includes both shell scripts and PowerShell scripts (for macOS/Linux and Windows respectively) to load container images, configure Kubernetes, and deploy supporting components. ...

...The content is organized as Markdown how-tos and cheat-sheets covering core objects and workflows — Pods, Deployments, Services, ConfigMaps, Secrets, PV/PVC, StatefulSets, DaemonSets, Jobs/CronJobs, Ingress, affinity/taints, and more — plus command-line kubectl quick references. It also includes end-to-end cluster setup guides (kubeadm with containerd or Docker, Minikube examples), Helm and CI/CD notes (Helm + Jenkins lab), and monitoring guidance with Prometheus & Grafana so learners can practice real operational tasks. Labs are written as short, reproducible exercises (imperative and declarative examples) designed for people who already know containers and want concrete, runnable Kubernetes practice.

...The tool aggregates results into structured formats and can produce interactive graphs to highlight relationships between entities (e.g. domain → IP → cert → ASN). Analysts can filter, cluster, and explore these relationships to identify infrastructure patterns, potential subdomains, or attack surfaces. Integrations may include metadata like geolocation, WHOIS, and risk scoring to prioritize leads. GOAD helps teams transition from fragmented OSINT tools to a unified reconnaissance dashboard where exploration and filtering are first-class.

... ▪ If the code in question is not present on the target machine, it can be dynamically uploaded. ▪ JMP allows setting affinity for a new process explicitly instead of relying on the OS. ▪ JMP also contains a simple cluster management / load balancing tool called JMP node. ▪ JMP = SSI + load balancing + multiprocessing API ▪ JMP is available on ENGITEX Java cloud as well as for local deployment. Two of the most obvious JMP use cases are: a. All kinds of data parallelism (exhaustive search algorithms, optimization problems). b. Server-side load balancing between available CPUs. ...