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Found 377 Skills
Expert in infrastructure security, DevSecOps pipelines, and zero-trust architecture design.
HashiCorp Vault secrets management. Use for secrets.
Jenkins automation server with pipelines and plugins. Use for CI/CD pipelines.
Professional DevOps engineering skill for creating CI/CD pipelines, implementing infrastructure as code, managing environments, and establishing monitoring and observability across all deployment stages.
Microservices architecture patterns and best practices. Use when designing distributed systems, breaking down monoliths, or implementing service communication.
Elasticsearch Index Manager - Auto-activating skill for DevOps Advanced. Triggers on: elasticsearch index manager, elasticsearch index manager Part of the DevOps Advanced skill category.
Deploy Juicebox integrations to production. Use when deploying to cloud platforms, configuring production environments, or setting up infrastructure for Juicebox. Trigger with phrases like "deploy juicebox", "juicebox production deploy", "juicebox infrastructure", "juicebox cloud setup".
Implement Customer.io load testing and scaling. Use when preparing for high traffic, load testing, or scaling integrations for enterprise workloads. Trigger with phrases like "customer.io load test", "customer.io scale", "customer.io high volume", "customer.io performance test".
Professional Skills and Methodologies for Container Security Testing
Creates and manages persistent volumes on TrueFoundry. Handles creation, listing, mounting, storage class selection, and static volume attachment.
Deploys infrastructure components via Helm charts on TrueFoundry. Supports any public or private OCI Helm chart including databases (Postgres, MongoDB, Redis), message brokers (Kafka, RabbitMQ), and vector databases (Qdrant, Milvus). Uses YAML manifests with `tfy apply`. Use when installing Helm charts or deploying infrastructure on TrueFoundry.
Use when the user wants to analyze EKS application logs during or after a FIS experiment. Triggers on "analyze app logs", "application log analysis", "check application behavior", "分析应用日志", "查看应用表现", "应用日志分析". Supports two modes: real-time monitoring (during experiment) and post-hoc analysis (after experiment). Reads experiment context from aws-fis-experiment-prepare/execute outputs.