DevOps & Cloud · By seb1n

Design privacy-aware observability for AI agents using traces, spans, structured events, metrics, cost attribution, dashboards, alerts, and investigation workflows.

seb1n/awesome-ai-agent-skills

Set up a continuous integration and continuous delivery (CI/CD) pipeline for a software project, automating builds, tests, and deployments across environments.

seb1n/awesome-ai-agent-skills

Monitor cloud infrastructure and applications using metrics, logs, and traces to provide real-time observability into performance, health, and reliability.

seb1n/awesome-ai-agent-skills

Set up and orchestrate multi-container Docker applications using docker-compose, including service configuration, networking, volumes, and environment management.

seb1n/awesome-ai-agent-skills

Define, deploy, and manage cloud infrastructure as code using tools like Terraform, Pulumi, CloudFormation, and CDK, ensuring consistency, repeatability, and version control.

seb1n/awesome-ai-agent-skills

Deploy, manage, and scale applications on Kubernetes clusters using manifests, Helm charts, and autoscaling configurations.

seb1n/awesome-ai-agent-skills

Generate professional reports — sprint retrospectives, financial summaries, analytics dashboards, and incident postmortems — from structured data with templates, charts, and multi-format output.

seb1n/awesome-ai-agent-skills

Design, implement, and validate reproducible machine-learning pipelines spanning data preparation, training, evaluation, registry, and deployment gates.

seb1n/awesome-ai-agent-skills

Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms.

seb1n/awesome-ai-agent-skills