Prompt Engineering Examples – Powerful AI Prompts

Powerful AI Prompts Prompts for DevOps and SRE Engineers

• Write a step-by-step guide on diagnosing and resolving common issues with Kubernetes pods stuck in ‘CrashLoopBackOff‘ state. Include possible root causes and solutions relevant to DevOps engineers.
•  Generate an Ansible playbook script to automate the setup of an NGINX web server with load balancing on multiple servers, ensuring configuration is optimized for high availability and performance.
•  Describe best practices for implementing a robust CI/CD pipeline for a microservices architecture.
• Create a Terraform configuration file for provisioning an AWS infrastructure setup that includes an EC2 instance with SSH access, security groups for port 80 and 443, S3 bucket, a VPC, and cost-centre tagging.
•  Explain how to set up monitoring and alerting for a web application using Prometheus and Grafana. Include steps for creating custom metrics, setting alert thresholds, and configuring dashboards to visualize application health and performance.
• Generate an alert rule for sustained high CPU usage over 5 minutes with actionable thresholds.

Reverse prompt examples – Powerful AI Prompts

Powerful AI Prompts for DevOps and SRE Engineers

• Create a troubleshooting guide that helps DevOps engineers diagnose root causes for Kubernetes pods stuck in ‘CrashLoopBackOff’ and includes possible solutions like image errors, permission issues, and memory limits.
• Write a script using Ansible to automate the setup of an NGINX web server with load balancing across multiple servers, ensuring it includes steps for high availability and optimal configuration settings for production
• Suppose you often encounter a “memory limit exceeded” error for a specific service. You initially prompt an AI tool with, “How do I fix a memory limit exceeded error in Linux?” The AI provides general troubleshooting steps.
• How do I troubleshoot a memory limit exceeded error in a Docker container running on Ubuntu?
• Develop a best practices document on building CI/CD pipelines for microservices, focusing on efficient version control, test automation, and safe deployment strategies for DevOps teams managing large-scale applications.
• Provide a Terraform configuration for provisioning AWS infrastructure, including an EC2 instance, S3 bucket, and VPC. Ensure the configuration is modular, and explain the purpose of each component in a DevOps workflow.
• Draft a setup guide for monitoring and alerting using Prometheus and Grafana, targeting DevOps engineers. Include steps for creating custom metrics, setting up alerts, and configuring dashboards for application performance monitoring.