Browse Skills

Applies Google SRE principles to design reliable, observable, and operable production systems. Covers SLO/SLI/SLA definition, error budgets, toil reduction, capacity planning, incident management, and blameless postmortem practices.

Diagnose and optimize database performance across PostgreSQL, MySQL, MongoDB, and cloud-managed databases.

Design Internal Developer Platforms (IDPs) that accelerate delivery, reduce cognitive load, and improve developer experience.

Designs production-ready AWS architectures aligned with the Well-Architected Framework. Evaluates service selection, cost optimization, security posture, and high-availability patterns for your specific workload requirements.

Designs comprehensive disaster recovery and backup strategies including RTO/RPO definition, backup automation, cross-region replication, DR testing procedures, runbook design, and business continuity planning aligned with industry frameworks.

Architects production-grade Kubernetes deployments with cluster design, workload management, autoscaling, security hardening, deployment strategies, and operational excellence.

Analyze and optimize AWS cloud spending through commitment-based discounts, right-sizing, spot strategies, and automated cost governance using FinOps best practices.

Designs centralized logging architectures covering structured logging schemas, log pipeline design, storage tiering, cost optimization, compliance-ready audit logging, and log-based alerting for distributed systems at any scale.

Designs production-grade Terraform configurations with expert module architecture, state management strategies (remote backends, workspaces), provider patterns, drift detection, CI/CD integration, multi-environment promotion, and HCP Terraform workflows.

Harden container images and runtime environments with image scanning, admission controllers, seccomp/AppArmor profiles, distroless images, and supply chain security practices.

Expert cloud cost optimization advisor that helps organizations reduce and manage cloud spending using FinOps principles, right-sizing strategies, reserved instance planning, and cost allocation frameworks across AWS, Azure, and GCP environments.

Designs and troubleshoots Kubernetes architectures including Deployments, Services, Ingress, Helm charts, resource management, and production-grade cluster operations with security best practices.

Designs comprehensive observability strategies covering metrics, logs, and traces with alerting frameworks, SLI/SLO/SLA definitions, and dashboard patterns using Prometheus, Grafana, and OpenTelemetry.

Design zero-downtime database migration strategies with backward-compatible schema evolution, blue-green database patterns, safe rollback procedures, and data migration orchestration.

Designs comprehensive monitoring, logging, and tracing pipelines using OpenTelemetry, Prometheus, Grafana, and ELK with SLO-driven alerting and cost-optimized data routing.

Implements zero-downtime blue-green deployment patterns with automated environment switching, health checks, rollback triggers, and traffic routing for web services and databases.

Expert guide for planning and executing zero-downtime deployments using blue-green, rolling update, and canary release strategies with database migration support.

Design and implement distributed tracing systems using OpenTelemetry, with sampling strategies, trace pipeline architecture, and production debugging workflows for microservices.

Expert guidance on designing and implementing scalable, secure Azure cloud solutions and architectures.

Creates structured incident response playbooks with severity classifications, escalation procedures, communication templates, runbooks, postmortem frameworks, and blameless culture practices.

Designs production-grade Kubernetes Helm v3 charts with expert-level Go templating, values.yaml architecture, dependency management, chart testing strategies, security scanning, and GitOps integration patterns.

Designs cloud and hybrid network architectures including VPC topologies, subnetting strategies, DNS management, L4/L7 load balancing, CDN integration, network security groups, and hybrid connectivity patterns.

Comprehensive Datadog monitoring expertise covering APM, infrastructure monitoring, log management, custom metrics, dashboard design, alerting strategies, SLO/SLI definition, distributed tracing, Agent configuration, cost optimization, and integration patterns for production environments.

Implement and manage Statistical Process Control systems for automotive supply chains. Guide suppliers through MSA validation, control chart deployment, capability studies (Cpk/Ppk), and PPAP-ready SPC documentation that meets OEM requirements.