인프라·DevOps 스킬

Use this skill to plan or improve monitoring for applications and infrastructure. It covers metrics, dashboards, distributed traces, log aggregation, and alerting, and outlines an architecture and implementation plan for gaining visibility into system health and performance.

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• Planning monitoring for an application or infrastructure
• Adding metrics, logs, and distributed tracing
• Designing dashboards and actionable alerts

Plan and troubleshoot cloud networks across AWS, Azure, and GCP. The skill helps with secure connectivity, service meshes, certificates, load balancing, CDN performance, monitoring, and network automation, with practical guidance for diagnosing connection and performance problems.

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• Designing secure connectivity across multiple cloud providers
• Troubleshooting intermittent Kubernetes network issues
• Improving CDN performance for users in different regions

Set Istio policies for service routing, load balancing, retries, timeouts, and circuit breakers, which stop sending traffic to unhealthy services. Create canary rollouts, mirror traffic for testing, and configure gateways with practical resource examples and debugging commands.

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• Routing traffic between services
• Setting up canary or blue-green releases
• Configuring retries and circuit breakers

Plan Kubernetes security controls for network access, pod settings, and user permissions. The skill provides examples for NetworkPolicy, Pod Security Standards, and RBAC, helping define network boundaries and grant only the access workloads and users need.

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• Restricting traffic between Kubernetes workloads
• Applying pod security settings by namespace
• Granting least-privilege cluster access

Plan Kubernetes platforms across cloud providers, including cluster layouts, GitOps delivery, progressive rollouts, security, and observability. GitOps keeps the desired system configuration in version control and reconciles changes automatically.

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• Designing a multi-cluster Kubernetes platform
• Planning GitOps workflows and progressive delivery
• Setting up secure multi-tenant clusters

Create incident runbooks that organize detection, triage, mitigation, recovery, verification, and communication into clear steps. The templates cover service outages and database incidents, with severity levels and escalation paths to guide responders during active issues.

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• Drafting a service outage response guide
• Preparing database incident procedures
• Defining incident severity and escalation paths

Coordinate a structured response to production incidents, from assessing severity and user impact through investigation, mitigation, recovery, communication, and follow-up. The workflow organizes findings and decisions so teams can restore service and identify improvements.

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• Triage a production outage and assess its impact
• Organize investigation and immediate mitigation
• Prepare stakeholder updates during an incident

Use this skill to investigate production failures across application or infrastructure components. It guides the process from examining errors and isolating a root cause to implementing a focused fix and checking recovery with regression tests, with a playbook available for detailed patterns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a production outage
• Tracing the cause of an application error
• Fixing an infrastructure failure

Configure mutual TLS so both services authenticate each other before communicating. Find configuration examples for Istio, Linkerd, cert-manager, and SPIFFE/SPIRE, plus certificate rotation guidance and commands for investigating handshake and policy issues.

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• Enabling mTLS between internal services
• Planning certificate issuance and rotation
• Migrating a service mesh to strict mTLS

Use this skill to plan production monitoring, logs, and distributed tracing, which follows requests across services. It helps define reliability indicators and targets, build useful alerts, and investigate performance or reliability issues while reducing alert noise.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define service reliability indicators and targets
• Investigate a production performance regression
• Plan monitoring and alerting for services

Compare AWS, Azure, and GCP services to shape a multi-cloud design for specific workloads. The skill helps evaluate provider choices, cloud-agnostic patterns, migration steps, disaster recovery, and cost considerations when combining or moving between cloud platforms.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing cloud services for a workload
• Planning a move between cloud providers
• Designing disaster recovery across clouds

Create Kubernetes YAML for Deployments, Services, ConfigMaps, Secrets, and persistent storage. The skill guides resource limits, health checks, security contexts, naming, and configurations for multiple environments so workloads have clear, production-oriented manifests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a Deployment and Service manifest
• Defining configuration with ConfigMaps and Secrets
• Adding resource limits and health checks

Set up Linkerd service mesh patterns for Kubernetes, including automatic mutual TLS, access policies, canary traffic splits, retries, and timeouts. It provides configuration examples and commands for checking, monitoring, and debugging mesh deployments.

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• Installing Linkerd in a Kubernetes cluster
• Enabling automatic mutual TLS between services
• Splitting traffic for a canary deployment

Plan and improve machine learning pipelines, experiment tracking, and model registries using tools such as MLflow and Kubeflow. Get actionable guidance for automating training, deployment, and monitoring across cloud platforms.

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• Planning an automated ML training and deployment pipeline
• Tracking experiments and managing model versions
• Monitoring model performance and data drift

Set service reliability targets by defining SLOs, the goals for service performance, and SLIs, the measures used to track them. Plan error budgets, dashboards, alerts, and reporting so teams can balance reliability with feature delivery using service data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Defining service indicators and reliability targets
• Planning SLO dashboards, alerts, and reports
• Aligning reliability goals with business priorities

Design GitLab CI/CD pipelines that organize builds, tests, and deployments into stages. Use caching and GitLab Runners to manage automation, create environment-specific deployments, and add security scanning or Terraform workflows.

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• Structuring a multi-stage GitLab pipeline
• Reducing repeated dependency installation with caching
• Deploying to staging and production environments

Create GitHub Actions workflows to automate testing, builds, and deployments. Use patterns for matrix builds, Docker publishing, Kubernetes deployment, reusable workflows, security scans, and production approval gates to structure development pipelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automate tests and builds for pull requests
• Build and publish Docker images
• Deploy an application to Kubernetes

Use this skill to organize production incident response, assess user and business impact, coordinate restoration work, and communicate updates. It also guides observability-based investigation, blameless post-incident reviews, and reliability improvements such as monitoring and runbook updates.

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• Coordinating response to a production outage
• Assessing incident severity and user impact
• Preparing a blameless post-incident review

Improve visibility into production errors by setting up error tracking, structured logs, grouping, and alert routing. Use it to assess current handling, connect monitoring services, reduce duplicate reports, and plan dashboards and recovery guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving production error detection
• Grouping duplicate error reports
• Setting up alert routing

Investigate errors by finding patterns, stack traces, and anomalies in logs and code. Correlate events across services and time periods to form evidence-based root-cause hypotheses, identify likely code locations, and suggest queries to detect recurrence.

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• Tracing a production error through logs
• Comparing error spikes with recent deployments
• Correlating failures across services

Set up Git based delivery for Kubernetes with ArgoCD or Flux. The skill helps organize configuration repositories, define automatic sync and environment promotion, handle secrets, and plan rollbacks or progressive releases such as canary deployments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up GitOps for a Kubernetes cluster
• Automating deployments from a Git repository
• Managing staging and production environments

Set up or improve error monitoring by reviewing capture, grouping, alerts, logging, tracing, and triage workflows. The skill helps teams detect production issues and route meaningful signals while avoiding secrets or personal data in logs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving error monitoring for an application
• Configuring alerts and error grouping
• Setting up structured logs and tracing

Analyze production incidents and recurring errors across services using error reports, logs, and traces. Narrow down causes with targeted investigation, then propose evidence-based fixes, checks, preventive measures, and improvements to observability and error handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a recurring production incident
• Finding a root cause across multiple services
• Improving error handling and observability

Create and organize Helm charts to package Kubernetes applications and manage reusable deployment templates. Use it to support multiple environments, prepare charts for distribution, and follow conventions when setting up chart repositories and deployments.

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• Scaffolding a new Helm chart
• Packaging a Kubernetes application for distribution
• Managing Helm deployments across environments