2. DevOps & Infrastructure

Comprehensive guide to cloud pricing models, cost structures, and optimization strategies across major providers like AWS, Azure, and GCP.

Manages scalable video processing pipelines including uploads, transcoding, thumbnails, and delivery via S3, FFmpeg, job queues, and CDN.

Provides safe, consistent patterns for distributing configuration and secrets across environments using environment variables, config files, secret managers, and Kubernetes External Secrets.

Monitors cloud infrastructure costs, attributes expenses to business units, and detects financial anomalies in cloud spending.

Provides rapid assessment and initial response processes to diagnose and mitigate production incidents, ensuring minimal downtime.

Generates CI/CD pipeline configurations for GitHub Actions and GitLab CI with integrated testing, linting, building, and deployment steps.

Guides teams in conducting blameless postmortems to analyze incidents, extract actionable insights, and enhance system reliability through structured review processes.

Enables bidirectional data synchronization between edge devices and cloud services with conflict resolution and offline support capabilities.

Manages IoT infrastructure using GitOps for continuous delivery and automated synchronization via version-controlled Git repositories.

Provides automated rollback strategies for applications and infrastructure, including database and blue-green deployment recovery methods.

Automates mobile app build, test, code signing, and App Store submission using GitHub Actions and Fastlane for seamless CI/CD pipelines.

Comprehensive guide to defining and measuring system reliability using Service Level Agreements, Objectives, and Indicators.

Designs and implements multi-cloud IoT infrastructure to ensure redundancy, compliance, and performance optimization across cloud platforms.

Guides creation of operational runbooks for incident response, deployment procedures, troubleshooting, and on-call playbooks in DevOps environments.

Methodology for proactively testing system resilience by intentionally injecting failures in controlled environments to identify weaknesses.

Detects performance regressions in software builds by monitoring benchmarks, bundle size, and load times through CI/CD pipeline gates.

Expert guidance on Terraform/OpenTofu for Infrastructure as Code, covering testing, module development, CI/CD integration, and security scanning.

Provides application performance monitoring (APM), error tracking, and infrastructure observability analysis within New Relic.

Enables persistent terminal sessions, parallel terminal management, and background task monitoring for server administration and development workflows.

Standardizes observability practices including structured logging, metrics naming, trace propagation, and sensitive data handling for service monitoring.

Gradually rolls out new versions to a subset of users, monitors for issues, and expands rollout if stable to minimize risk and enable fast rollback.

Systematically troubleshoot Cloudflare configuration issues using API-driven evidence gathering for redirects, SSL, and DNS errors.

Configures, optimizes, and troubleshoots Magento 2 environments including development, staging, and production server setups.

Designs and implements CI/CD pipelines and automated deployments for Magento 2 using containerization and orchestration for scalable infrastructure.