15+ Years Production Support · AWS Certified

Technical Knowledge & DevOps Consulting

A resource hub for configurations, runbooks, and best practices across DevOps, AI, Python, Kubernetes, Splunk, Prometheus, Linux, and cloud platforms — backed by real-world enterprise experience.

Explore Knowledge Base View Resume Hire for Consulting

Knowledge Base Topics

Browse configurations, SPL queries, YAML manifests, and operational runbooks.

DevOps

DevOps

CI/CD pipelines, automation, and production reliability

3 resources
AI

AI

Machine learning ops, LLM integration, and intelligent automation

3 resources
Kubernetes

Kubernetes

Container orchestration, deployments, and cluster operations

3 resources
Splunk

Splunk

Log analysis, SPL queries, and operational intelligence

4 resources
Prometheus

Prometheus

Metrics collection, alerting, and Grafana dashboards

3 resources
Linux

Linux

System administration, log analysis, and shell automation

3 resources
Cloud Providers

Cloud Providers

AWS, Azure, GCP — infrastructure and managed services

4 resources

For Hiring Managers

Looking for an experienced Applications Engineer with deep Linux troubleshooting, Splunk analysis, Python automation, and 24/7 production support background?

  • 15+ years L2 production support on mission-critical platforms
  • AWS Certified Cloud Practitioner & AI Practitioner (in progress)
  • Splunk, Dynatrace, Prometheus-style monitoring expertise
  • Python automation for log parsing and incident response
  • 24/7 NOC leadership and international customer support
Full Resume & Experience
AA

Abdullah Al Mamoon

Applications Engineer | DevOps · Cloud · AI

abdullah@dchomelocator.com 703-623-8696
CompTIA Security+ AWS Certified Cloud Practitioner (CLF-C02)

Consulting Services

Production Support & RCA

Incident response, root cause analysis, and 24/7 platform stability for mission-critical systems.

Monitoring & Observability

Splunk, Prometheus, and Dynatrace setup — alerts, dashboards, and SPL/PromQL query optimization.

Cloud & Kubernetes

AWS infrastructure, EKS deployments, CI/CD pipelines, and infrastructure as code.

Automation & AI

Python log parsers, workflow automation, and LLM-assisted incident summarization.

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