Database backups
Implement database backup strategies. Configure automated backups, retention, and recovery testing. Use when designing backup and recovery procedures.
Skills for your AI
Implement database backup strategies. Configure automated backups, retention, and recovery testing. Use when designing backup and recovery procedures.
Implement Datadog monitoring and APM for infrastructure and applications.
Create reproducible development environments with Dev Containers, Nix flakes, and Devbox for consistent toolchains across teams.
Configure DNS zones and records. Manage Route53, Cloud DNS, and self-hosted DNS. Use when setting up DNS infrastructure.
Define and run multi-container Docker applications using Docker Compose.
Build, optimize, and troubleshoot Docker containers and images.
Use eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.
Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis.
Implement feature flags for progressive feature rollout using LaunchDarkly, Unleash, or custom solutions.
Build and operate apps on Firebase using Auth, Firestore, Cloud Functions, and Hosting. Use when building mobile/web backends with managed services, real-time data sync, or serverless APIs.
Deploy serverless functions on Google Cloud Functions. Configure triggers and manage deployments. Use when implementing serverless workloads on GCP.
Provision Cloud SQL and Spanner databases. Configure high availability, backups, and security. Use when deploying managed databases on GCP.
Manage Compute Engine instances and instance templates. Configure managed instance groups and preemptible VMs. Use when deploying compute resources on GCP.
Deploy and manage Google Kubernetes Engine clusters. Configure node pools, networking, and workload identity. Use when running Kubernetes on GCP.
Configure VPCs, firewall rules, and Cloud NAT. Implement shared VPC and private service connect. Use when designing GCP network infrastructure.
Implement Git branching strategies, PR workflows, and release management patterns.
Build, test, and deploy applications using GitHub Actions workflows.
Configure GitLab CI/CD pipelines and runners for automated building, testing, and deployment.
Operate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls.
Set up and manage NVIDIA GPU servers for AI workloads
Create, manage, and deploy Helm charts for Kubernetes package management.
Set up and manage SSO, SCIM provisioning, and MFA for startup teams using Google Workspace, Okta, or Azure AD.
Create and manage Jenkins CI/CD pipelines, configure agents, manage plugins, and automate builds.
Deploy, scale, and manage Kubernetes workloads.