AI workflows that survive contact with production

AI for Linux Admins

Diagnose, automate, and harden Linux servers using AI assistants. Ubuntu, RHEL, Debian, Rocky.

AI for OpenStack

Troubleshoot Nova, Neutron, Cinder, RabbitMQ, and Keystone with AI-assisted workflows.

AI for Prometheus & Monitoring

Write better alert rules, PromQL queries, and Grafana dashboards with AI.

AI for Grafana

Design dashboards, panels, and alerts, wire data sources (Prometheus, Loki, Tempo, SQL), and debug Grafana errors with AI-assisted workflows.

AI for GitLab CI/CD

Debug pipelines, generate jobs, and review .gitlab-ci.yml with AI.

AI for Bash & Python Automation

Generate, review, and harden automation scripts. Idempotent, safe, production-ready.

AI for Incident Response

Faster RCAs, postmortems, runbooks, and on-call workflows powered by AI.

AI for Kubernetes & Helm

Troubleshoot clusters, review manifests, generate Helm charts, debug pods, and harden Kubernetes workloads with AI-assisted workflows.

AI for Infrastructure as Code

Generate, review, refactor, and secure Ansible, Helm, and cloud infrastructure code with AI.

AI for Terraform

Design state, modules, providers, and workflows. Plan reviews, drift detection, large-state refactors, and policy-as-code with AI.

AI for DevOps Security & Hardening

Use AI to review infrastructure security, harden Linux servers, detect risky commands, audit CI/CD pipelines, and improve production safety.

AI for Slack

Build smarter Slack workflows: ChatOps bots, alert routing, incident channels, on-call handoffs, message summarization, and webhook security.

AI for Microsoft Teams

AI-powered Teams workflows: adaptive cards, webhook routing, Bot Framework ChatOps, Power Automate flows, meeting transcripts to postmortems, Graph API automation.

AI for Automation

Automate runbooks, toil, and event-driven workflows with AI: intelligent runbook selection, self-healing, ChatOps automation, and orchestration across your stack.

AI for Ansible

Write, refactor, and debug Ansible playbooks, roles, and inventories with AI — idempotent tasks, Jinja2 templates, Vault secrets, and safe rolling changes.

AI for NGINX

Configure, debug, and harden NGINX with AI — reverse proxy, TLS, rate limiting, caching, location-block precedence, and performance tuning.

AI for Postgres

Tune, debug, and design PostgreSQL with AI — slow queries and EXPLAIN plans, indexing, vacuum/bloat, replication, and safe schema migrations.

AI for MySQL

Optimize and troubleshoot MySQL and MariaDB with AI — query tuning, InnoDB internals, indexing, replication, deadlocks, and zero-downtime migrations.

AI for RabbitMQ

Design and debug RabbitMQ with AI — exchanges and routing, queue backpressure, dead-lettering, clustering and quorum queues, and consumer reliability.

Reduce MTTR with AI

Cut mean time to resolution with AI — faster detection and triage, alert correlation, instant runbooks, quicker root-cause analysis, and tighter postmortem-to-fix loops.

Post Mortems with AI

Write better postmortems with AI — draft timelines from chat and alerts, keep the language blameless, surface contributing factors, and turn findings into action items that ship.

AWS with AI

Build, debug, and secure AWS with AI — IAM and least privilege, VPC and networking, EC2/ECS/EKS, Lambda, S3, CloudFormation and CDK, and cost control.

Azure with AI

Design, troubleshoot, and harden Azure with AI — RBAC and Entra ID, VNets and NSGs, AKS, App Service, Functions, Bicep and ARM, and cost management.

GCP with AI

Operate and secure Google Cloud with AI — IAM, VPC and firewall rules, GKE, Cloud Run, Cloud Functions, Terraform, and billing and cost optimization.

Docker with AI

Build, debug, and harden Docker with AI — Dockerfiles, image builds, registries, networking, volumes, the daemon, and container runtime errors.

AI for Kafka

Operate and debug Apache Kafka with AI — brokers and controllers, partitions and ISR, producers and consumers, KRaft and ZooKeeper, rebalances, retention, and throughput tuning.

AI for Redis

Operate and debug Redis with AI — data structures and memory, persistence (RDB/AOF), replication and Sentinel, Cluster sharding, eviction and TTLs, latency, and reliability.

AI for Loki

Query, scale, and debug Grafana Loki log pipelines with AI — LogQL, ingesters and queriers, chunk storage, label cardinality, retention, and multi-tenancy.

AI for OpenTelemetry

Instrument, collect, and troubleshoot OpenTelemetry traces, metrics, and logs with AI — SDKs and auto-instrumentation, the Collector, OTLP exporters, and sampling.

AI for Victoria Metrics

Operate and tune VictoriaMetrics with AI — MetricsQL, vmagent and vmstorage, high-cardinality ingestion, downsampling, retention, and cluster scaling.

AI for Telegraf

Collect, process, and ship metrics with Telegraf and AI — input and output plugins, processors and aggregators, tags and routing, buffering, and the InfluxDB/Prometheus pipeline.

AI for Filebeat

Ship and troubleshoot logs with Elastic Filebeat and AI — filestream and log inputs, modules, harvesters, the registry, processors, and output to Elasticsearch, Logstash, and Kafka.

AI for Logstash

Build and debug Logstash pipelines with AI — input, filter, and output plugins, grok and dissect, the persistent queue and dead-letter queue, pipeline-to-pipeline, and performance tuning.

AI for OpenTofu

Write and troubleshoot OpenTofu with AI — the open-source Terraform fork: HCL modules, state and backends, providers, plan/apply, drift, testing, and migrating from Terraform.

AI for Jenkins

Build and debug Jenkins pipelines with AI — declarative and scripted Pipelines, shared libraries, agents and executors, credentials, plugins, and CI/CD troubleshooting.

AI for Pulumi

Write and troubleshoot Pulumi with AI — infrastructure as code in real languages: stacks and state, providers, config and secrets, component resources, testing, and CI/CD.

Ansible Vault Secrets Management Prompt

Use Ansible Vault — encrypt secrets, vault IDs, multi-vault setups, integration with external secret managers.

• Claude
• ChatGPT

GitLab CI/CD → Kubernetes Deploy Patterns Prompt

Design GitLab CI/CD pipelines that deploy to Kubernetes — kubectl vs Helm vs Kustomize, secrets handling, multi-environment promotion, GitOps comparison.

• Claude
• ChatGPT

GitLab CI/CD Pipeline Optimization Prompt

Speed up slow GitLab pipelines — DAG with `needs:`, cache vs artifacts, parallel jobs, image pre-builds, dependency proxy, and shallow clones.

• Claude
• ChatGPT

Grafana Loki + Prometheus Correlation Prompt

Correlate metrics and logs in Grafana — exemplars from Prometheus to traces, derived fields from Loki, jump from spike to log line.

• Claude
• ChatGPT

Helm Chart Review Prompt

Get a senior-engineer review of a Helm chart — values hygiene, template correctness, security defaults, upgrade safety.

• Claude
• ChatGPT
• Cursor

Infrastructure as Code Security Review Prompt

AI security review of Terraform, CloudFormation, or Helm charts — surface dangerous defaults, missing encryption, overly-permissive IAM, and exposed services.

• Claude
• ChatGPT