2. DevOps & Infrastructure

Establishes and monitors service reliability targets (SLAs, SLIs, SLOs) for availability, latency, and error rates.

Generates Kubernetes network policies and firewall rule configurations for secure, production-ready cluster networking.

Configures metrics, tracing, and alerting for Groq API integrations to monitor system health and performance.

Manages environment configurations and secrets for multiple deployments, enabling consistent and secure setup across development, staging, and production environments.

Monitors and analyzes application error rates including HTTP, database, and external API errors, with threshold-based alerting for reliability.

Generates production-ready GitOps configurations for Kubernetes using ArgoCD and Flux, implementing best practices and security-first principles.

Automates Firestore index creation for optimal query performance in Google Cloud Platform applications.

Generates reusable, production-ready Terraform modules with best practices and documentation based on user specifications.

Aggregates and centralizes performance metrics from applications, databases, and services for unified monitoring and observability.

Enables implementation of multi-tier database caching using Redis and CDN to reduce load and improve query latency.

Configures production-ready log aggregation solutions (ELK, Loki, Splunk) for centralized logging infrastructure.

Generates production-ready CI/CD configurations and setup code for multi-stage deployment pipelines based on user requirements.

Manages SSL/TLS certificate lifecycle: checks expiry, renews, and lists certificates to maintain secure infrastructure operations.

Generates Locust test scripts for performance testing scenarios.

Provisions Vertex AI ADK Agent Engine production infrastructure via Terraform, including VPC-SC, IAM, and secure multi-agent components.

Automates collection of Vast.ai diagnostic logs and evidence for efficient troubleshooting and support ticket preparation.

Configures deployment pipelines for Lindy AI integrations, enabling production deployments, staging environment setup, and agent automation.

Provides best-practice architecture patterns for integrating Sentry in enterprise environments, covering project structure and scalable deployment strategies.

Enables deployment tracking and release health monitoring in Sentry, connecting deployment data to error tracking.

Manages Elasticsearch index operations including creation, deletion, and configuration for efficient data indexing and search.

Automates the creation of AWS EventBridge rules for event-driven infrastructure management.

Configures HashiCorp Vault secret integration for secure management of credentials and sensitive data in DevOps infrastructure.

Generates CI/CD pipeline configurations for GitHub Actions, GitLab CI, and Jenkins, supporting stages like test, build, security, and deploy.

Automates database recovery operations including disaster recovery, point-in-time recovery (PITR), and failover testing for production systems.