configuration-management
Infrastructure configuration with Ansible, Chef, Puppet, and SaltStack for automated server management
containers-skill
Docker and Kubernetes - containerization, orchestration, and production deployment.
gitops
GitOps practices with ArgoCD, FluxCD, and declarative infrastructure management
iac-skill
Infrastructure as Code with Terraform, Ansible, and CloudFormation.
linux-fundamentals-skill
Complete Linux administration skill covering process management, filesystem, permissions, package management, users, bash scripting, and system monitoring.
logging
Centralized logging with ELK Stack, Loki, Fluentd, and log analysis for distributed systems
monitoring-skill
Monitoring and observability with Prometheus, Grafana, ELK Stack, and distributed tracing.
networking-skill
Network protocols and troubleshooting - TCP/IP, DNS, HTTP/HTTPS, SSH, firewalls.
observability
Distributed tracing with Jaeger, OpenTelemetry, and observability platforms for microservices insights
scripting
DevOps scripting with Bash, Python, and Go for automation, tooling, and infrastructure management
security
DevSecOps practices including secrets management, SSL/TLS, vulnerability scanning, and compliance
serverless
Serverless computing with AWS Lambda, Azure Functions, Google Cloud Functions, and edge computing
service-mesh
Service mesh technologies including Istio, Linkerd, Consul, and Envoy for microservices communication
version-control
Git version control, branching strategies, GitHub/GitLab workflows, and collaborative development
computer-vision
Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.
data-engineering
ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
data-visualization
EDA, dashboards, Matplotlib, Seaborn, Plotly, and BI tools. Use for creating visualizations, exploratory analysis, or dashboards.
deep-learning
Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.
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