Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

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Hasil pencarian: vms

Direktori bahasa Inggris

Kata Containers is an open source project and community working to build a standard implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs. https://katacontainers.io/

8.2K
Stars
85/100
Kepercayaan
Kategori: devopsAudit

๐Ÿป The multi-zone service mesh for containers, Kubernetes and VMs. Built with Envoy. CNCF Sandbox Project.

4.0K
Stars
85/100
Kepercayaan
Kategori: devopsAudit

An open-source, next-generation "runc" that empowers rootless containers to run workloads such as Systemd, Docker, Kubernetes, just like VMs.

3.7K
Stars
78/100
Kepercayaan
Kategori: devopsAudit

Secure Node.js Execution Without a Sandbox A lightweight library for secure Node.js execution. No containers, no VMs โ€” just npm-compatible sandboxing out of the box.

915
Stars
67/100
Kepercayaan
Kategori: agent-frameworksAudit

Generates a bastion host VM compatible with OS Login and IAP Tunneling that can be used to access internal VMs

149
Stars
70/100
Kepercayaan
Kategori: coding-agentsAudit

Automatic snapshot tool for Proxmox VE VMs and containers with retention policies

552
Stars
68/100
Kepercayaan
Kategori: automationAudit

Run multiple agents in parallel sandboxed VMs, with a single command, on your PC or in the cloud

109
Stars
67/100
Kepercayaan
Kategori: coding-agentsAudit

Start teaching cloud, VPC multi-tenant isolation, support for VMS and containers, unified management using Kubernetes

284
Stars
65/100
Kepercayaan
Kategori: devopsAudit

Kubernetes controller to spread preemption for preemtible VMs in GKE to avoid mass deletion after 24 hours

447
Stars
62/100
Kepercayaan
Kategori: devopsAudit

Analyzes cloud infrastructure and architectures to identify wasted spend and right-sizing opportunities.

21
Stars
58/100
Kepercayaan
Kategori: securityAudit

Run the full end-to-end observability setup for a service after its telemetry is already flowing into SigNoz โ€” sequence SLI/SLO capture, data exploration (RED/USE), focused dashboards, saved Explorer views, burn-rate and absent-data alerts, and a tuning loop into one opinionated, SLO-aware workflow. Make sure to use this skill whenever the user says "set up observability after ingestion", "now that data is flowing, give me dashboards and alerts", "onboard this service to SigNoz end-to-end", "I want the full monitoring setup for X", or asks to go from raw telemetry to a complete dashboard + alerts + views package โ€” even if they don't say "observability" explicitly. This is the orchestration layer: for a single artifact (just a dashboard, just one alert, just a saved view, or one static threshold alert, or a one-off query) use signoz-creating-dashboards, signoz-creating-alerts, signoz-managing-views, or signoz-generating-queries directly.

15
Stars
58/100
Kepercayaan
Kategori: data-analysisAudit