Results for “docker”

Configure and collect crash dumps for modern .NET applications (CoreCLR and NativeAOT) on Linux, macOS, and Windows, including containers.

Migrate .NET 9 projects to .NET 10 by updating target frameworks, resolving breaking changes, and fixing build errors.

Detect container escape attempts using runtime security tools like Falco, Sysdig, and custom seccomp/audit rules.

Designs and implements CI/CD pipelines, automating build, test, and deployment processes with security scanning and deployment strategies.

Coordinate a full Galyarder Framework release across engineering verification, npm, GitHub, smoke testing, and announcement follow-up.

Automates Ansible AWX setup on Kubernetes and provides playbooks for deploying backends, running database migrations, and managing Kubernetes deployments.

Trigger: deployment pipeline, CI CD, Docker builds, DB migrations, expand contract database, Netlify. Scope: Application deployment, multi-stage builds, zero-downtime releases. Boundary: Excludes local editor settings.

Upgrade .NET 10 projects to .NET 11 by updating target frameworks, fixing breaking changes, and updating infrastructure.

Authorized security assessment for cloud, container, and Kubernetes environments covering metadata SSRF, IAM misconfigurations, container escape paths, and cluster RBAC review.

Configure container-native CI/CD pipelines with Drone, including YAML pipeline definitions, plugins, secrets, and multi-machine builds.

Install, configure, and operate Strix for AI-driven application security testing. Use when you need to run authorized vulnerability scans against local codebases, GitHub repositories, staging URLs, domains, or CI pipelines; configure Docker and LLM providers; choose quick, standard, or deep scan depth; or pass authenticated testing instructions to Strix. Triggers on: strix, ai pentest, vulnerability scan cli, appsec scan, bug bounty automation, strix ci, strix docker, strix scan mode, strix instruction file, headless security scan.

Build, deploy, and modify GitHub Copilot SDK apps on Azure with scaffolding, model configuration, and deployment orchestration.

Operate the VSS alert pipeline for real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, and camera onboarding.

Creates pre-configured devcontainers with Claude Code, language-specific tooling (Python, Node, Rust, Go), and persistent volumes for isolated development environments.

Scan container images for known vulnerabilities using Anchore Grype with SBOM-based matching and configurable severity thresholds.

Guides building LLM applications on the Dify platform, covering visual workflows, knowledge bases, agents, and API deployment.

Coordinates multi-service releases, manages container registries, and sets up CI/CD pipelines across platforms.

Deploy DefectDojo as a centralized vulnerability management dashboard with scanner integrations, deduplication, metrics tracking, and Jira ticketing workflows.

Evaluates a containerized framework for deploying distributed big data workloads, measuring execution time and cloud cost scaling from four to eight nodes.

Discover, select, and run Holoscan Sensor Bridge example applications on a connected devkit over SSH, filtering by platform, board type, and sensors.

Start, query, and stop a TAO inference microservice for a specific network architecture by delegating container execution to the appropriate platform skill.

Install the rpk CLI on macOS, Linux, or Docker, and configure profiles, connection settings, SASL/TLS credentials, and Enterprise licenses for Redpanda clusters.

Manage Uncloud clusters with the `uc` CLI: bootstrap machines, deploy Compose services, publish ports, configure Caddy ingress, scale, inspect logs, and manage volumes.

Scan infrastructure-as-code — Dockerfiles, Compose, Terraform, and GitHub Actions — for security misconfigurations like running as root, world-writable files, unpinned actions, and hardcoded secrets. Pure Claude Code, no signup.

Runs AutoMagicCalib calibration on local MP4s, RTSP streams, or a bundled sample dataset, and deploys the AMC microservice when needed.

Build, configure, scaffold, and deploy OCI Functions from a local machine using a dependency-first, Fn-context-guided flow with structured confirmations.

Find and fix vulnerabilities in code and dependencies with Snyk. Use when a user asks to scan for security vulnerabilities, audit npm packages, check Docker images for CVEs, or integrate security into CI/CD.

Deploy MISP to aggregate, correlate, and distribute threat intelligence feeds from multiple sources for centralized IOC management and automated SIEM integration.

Deploy and manage network honeypots using OpenCanary, T-Pot, or Cowrie to detect unauthorized access, lateral movement, and attacker reconnaissance.

Guides users through installing, configuring, and verifying the DAWN voice assistant, covering system dependencies, building, models, configuration, admin account, SSL, and optional features.

Automated security auditing covering SAST, DAST, dependency scanning, secret detection, container hardening, and compliance checks before deployments or when integrating new dependencies.

Integrate a HuggingFace computer vision model into the NVIDIA TAO Toolkit ecosystem, covering the full pipeline from prerequisites to container testing.

Generates an operations runbook from deployment configs, CI/CD pipelines, and monitoring setup, with copy-pasteable procedures for deployment, rollback, scaling, database maintenance, incident response, and troubleshooting.

Debug running Docker containers and Compose services. Use when inspecting container logs, exec-ing into running containers, diagnosing networking issues, checking resource usage, debugging multi-stage builds, troubleshooting health checks, or fixing Compose service dependencies.

Cloud GPU processing via RunPod serverless. Use when setting up RunPod endpoints, deploying Docker images, managing GPU resources, troubleshooting endpoint issues, or understanding costs. Covers all 5 toolkit images (qwen-edit, realesrgan, propainter, sadtalker, qwen3-tts).

Cloud GPU processing via RunPod serverless. Use when setting up RunPod endpoints, deploying Docker images, managing GPU resources, troubleshooting endpoint issues, or understanding costs. Covers all 5 toolkit images (qwen-edit, realesrgan, propainter, sadtalker, qwen3-tts).