Project Management Consultancy
Project consultancy across the infrastructure stack.
CIFL Consult advises on, plans, and governs infrastructure programs. We are not a managed-service operator. The work is to leave your team with architecture and delivery they can own.
- 01
Cloud Program Consultancy
Architecture advisory and migration program management across AWS, Google Cloud, and Microsoft Azure.
We structure cloud programs around landing zones, networking, security architecture, and multi-cloud governance — so delivery stays sequential, reviewable, and owned by your team.
- AWS
- Google Cloud
- Microsoft Azure
- Landing zones
- Networking
- Security architecture
- 02
Platform & DevOps Program Management
IaC, CI/CD, and GitOps programs designed so infrastructure stays reproducible as teams grow.
We advise on Terraform standards, Kubernetes platform roadmaps, environment management, and delivery pipelines. The outcome is a program your engineers can run — not a platform CIFL operates.
- Terraform
- Kubernetes
- Docker
- GitHub Actions
- Argo CD
- GitOps
- 03
Reliability Program Advisory
SRE operating models, observability strategy, and resilience planning for systems that cannot afford guesswork.
Incident process design, HA/DR planning, distributed tracing, and performance review — framed as a reliability program with clear owners, signals, and review cadences.
- SRE
- OpenTelemetry
- Prometheus
- Grafana
- Incident management
- Disaster recovery
- 04
GPU & AI Infrastructure Consultancy
Program management and architecture advisory for GPU platforms, inference, and cost-aware model serving.
Running AI in production is a delivery problem: scheduling, throughput, latency, utilization, networking, and cost. We help you plan that program before spend and complexity compound.
- GPU orchestration
- LLM inference
- Model serving
- Autoscaling
- HPC
- Inference optimization
- 05
Cloud Economics & Controls
FinOps advisory, rightsizing programs, and GPU cost governance as a structured project.
Capacity planning and architecture optimization with explicit controls. No invented savings figures — the work is to make spend explainable and decisions reversible.
- FinOps
- Rightsizing
- GPU cost governance
- Capacity planning
- Architecture review
