IaC / Terraform
Azure Infrastructure Automation
Reusable Terraform modules for Azure VMs, VNets, NSGs, Key Vault, App Services, AKS, and Storage. Production-ready patterns with remote state, environment separation, and secure secret handling.
Senior cloud consulting specializing in Terraform automation, CI/CD modernization, and security hardening for Azure environments. We fix what's broken and build what lasts.
Services
Clear scope. Fixed price where possible. No hourly-rate scope creep.
Reusable Terraform modules for Azure VMs, VNets, NSGs, Key Vault, App Services, AKS, and Storage. Production-ready patterns with remote state, environment separation, and secure secret handling.
Azure DevOps and GitHub Actions pipelines built right — validation gates, plan/apply stages, environment promotion, artifact handling, drift detection, and zero-touch deployments.
CIS/FIPS-aligned baselines, Defender for Cloud enablement, policy-as-code enforcement, identity controls, secret management, and continuous posture monitoring for Azure workloads.
Broken state, failed applies, provider errors, module drift, environment inconsistency — diagnosed and resolved fast. This is the highest-urgency, highest-ROI engagement we offer.
A structured review of your Azure architecture, IaC quality, security posture, and operational gaps. Delivered as a prioritized remediation roadmap you can act on immediately.
Full observability stack migrations and greenfield builds — Datadog, Azure Monitor, Log Analytics. Dashboards, alerts, SLOs, and runbooks for teams that need operational confidence.
Deploy and operationalize AI workloads on Azure — inference endpoints, API gateways, vector database infrastructure, cost controls for LLM compute, and observability for agentic and generative AI pipelines.
Proof
Engagements sanitized for client confidentiality.
Inherited Splunk environment with high licensing costs, poor alert quality, and no standardized dashboards across 40+ services. Alert fatigue had reached critical levels.
Designed and executed full migration to Datadog — rebuilt all dashboards, rationalized 300+ alerts, implemented log pipelines, and established SLO baselines across core services.
30% reduction in false positives, substantial tooling cost reduction, and an on-call team that trusts their alerts again. Zero production incidents during cutover.
Manual infrastructure deployments with no standardization, inconsistent environments across dev/test/prod, and no audit trail. Every deploy was a manual checklist exercise.
Built a library of reusable, parameterized Terraform modules for all core Azure resources. Implemented remote state strategy, environment-specific variable files, schema validation gates, and WinRM/SSH connectivity checks baked into pipeline runs.
Repeatable, auditable infrastructure across all environments. New Azure workloads provisioned in minutes instead of days. Teams onboarded without needing manual tribal knowledge.
Monitoring infrastructure for a high-stakes platform had single points of failure. A monitoring outage during an incident would leave engineers blind during the most critical window.
Redesigned monitoring architecture for high availability — redundant collection, failover routing, and automated health checks. Implemented runbooks for every failure scenario and tested them under simulated outage conditions.
Protected the client from $1M–$14M in potential FCC regulatory fines by eliminating monitoring blind spots. Platform has maintained 100% monitoring uptime since implementation.
About
GnukuM Cloud is the consulting arm of Darelim & GnukuM LLC — founded by a senior cloud engineer with 15+ years building production infrastructure across enterprise and high-stakes environments.
We work with startups, SaaS founders, and growing engineering teams who need infrastructure problems solved by someone who has already solved them at scale — without the overhead of a big consultancy or the risk of a generalist freelancer.
Increasingly, our clients are building AI-powered products. We specialize in the infrastructure layer those products run on — inference endpoints, agentic pipelines, vector databases, and the cloud architecture that keeps them reliable and cost-efficient at scale.
Contact
Send a short note with your problem, cloud stack, and timeline. First response same business day.