2. DevOps & Infrastructure

Guides teams through Apollo.io outage resolution, production debugging, and integration failure response using standardized incident runbook procedures.

Configures Clerk authentication for seamless deployment on Vercel, Netlify, Railway, and other platforms in production environments.

Executes PostHog production deployment and rollback checklists to ensure smooth go-live procedures and minimize downtime during integrations.

Generates Ansible playbooks for infrastructure automation, streamlining configuration management and deployment processes.

Designs and executes chaos engineering experiments to test system resilience using failure injection, latency simulation, and infrastructure tools.

Automates incident response workflows for Sentry, enabling efficient investigation and triage of production errors and system issues.

Automates Istio service mesh configuration in Kubernetes environments, enabling secure microservices communication and observability.

Configures observability for Fireflies.ai integrations, including metrics, traces, and alerting to monitor integration health and performance.

Validates load balancer configurations by testing traffic distribution, failover, sticky sessions, and health checks using the load-balancer-tester plugin.

Guides teams through PostHog incident response with triage, mitigation, and postmortem for outages and integration failures.

Configures Replit CI/CD integration with GitHub Actions for automated testing and seamless build pipeline setup.

Automates creation of multi-stage deployment pipelines with production-ready configurations for seamless software delivery.

Tracks application response times across APIs, databases, and services to identify bottlenecks and monitor SLOs.

Automates database recovery operations including disaster recovery, point-in-time recovery, and failover strategies for production systems.

Generates production-ready configurations and setup code for centralized log aggregation using ELK, Loki, or Splunk solutions.

Creates intelligent alerting rules for proactive performance monitoring, defining thresholds, routing, and escalation policies for metrics like latency and error rates.

Configures FireCrawl across development, staging, and production environments with environment-specific secrets and settings.

Provides an introductory guide to Jenkins Pipeline for automating software delivery in DevOps workflows.

Automatically detects performance regressions in CI/CD pipelines by analyzing metrics against baselines and thresholds.

Generates production-ready auto-scaling configurations for cloud infrastructure, implementing scalability and security best practices across platforms.

Configures metrics, traces, and alerting for Windsurf integrations to monitor system health and performance.

Automates Elasticsearch index management including creation, deletion, and optimization for cluster efficiency.

Automates the generation of AWS Identity and Access Management (IAM) policies based on user input and requirements.

Configures Fireflies.ai integration with GitHub Actions for automated testing and CI pipeline setup.