2. DevOps & Infrastructure

Configures and enforces consistent branch naming conventions for version control systems, streamlining DevOps workflows and CI/CD integration.

Configures Perplexity test integration into GitHub Actions CI/CD pipelines for automated testing and build validation.

Configures monitoring, dashboards, and alerting for FireCrawl integration health and performance.

Configures Google Cloud Storage (GCS) bucket settings for cloud infrastructure management within GCP.

Generates Kubernetes deployment manifests, services, and related configurations in YAML format following best practices.

Generates production-ready disaster recovery configurations and setup code for multi-platform infrastructure environments.

Configures comprehensive observability for Supabase, including metrics, traces, and alerting to monitor integration health.

Executes migration from error tracking tools like Rollbar and Bugsnag to Sentry, handling configuration and data transfer.

Generates production-ready, security-focused service mesh configurations for Istio and Linkerd in microservices architectures.

Automatically detects performance regressions in CI/CD pipelines by comparing metrics against baselines.

Automates database backups for PostgreSQL, MySQL, MongoDB, and SQLite with scheduling, compression, and encryption.

Automates safe deployment rollbacks with verification checks to recover from failed deployments quickly and reliably.

Automates backup and disaster recovery processes, providing comprehensive guidance for infrastructure resilience and data protection.

Automates AWS Elasticache configuration tasks, enabling quick setup and management of in-memory data stores in AWS environments.

Validates GitHub Actions workflows for Google Cloud and Vertex AI deployments, enforcing Workload Identity Federation, OIDC permissions, and least privilege IAM security best practices.

Automates AWS Step Functions workflow management, enabling seamless orchestration of serverless applications through AWS Skill triggers.

Generates production-ready disaster recovery configurations and setup code for business continuity planning across multi-platform environments.

Collects and visualizes infrastructure performance metrics across compute, storage, network, and databases using Prometheus, Datadog, and CloudWatch for monitoring and capacity planning.

Automates the setup of Cloud Logging sinks in Google Cloud Platform (GCP) for centralized log management and monitoring.

Generates and manages Kubernetes network policies and firewall rules for secure, production-ready infrastructure configurations.

Automates Google Cloud Pub/Sub topic configuration for cloud infrastructure management tasks.

Manages provisioning and configuration of isolated test environments for specialized testing scenarios, ensuring consistency and data setup.

Automates database archival by moving historical records to archive tables or cloud storage, implementing retention policies and compliance tracking for reduced database size.

Executes Ideogram integration deployment and rollback checklists for production launches, ensuring smooth go-live procedures.