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Cloud Infrastructure & Operations

Design, deployment, and operation of cloud infrastructure informed by decades of experience running mission-critical telecom and ISP networks.

Built on Telecom Discipline, Executed in the Cloud

01 — Foundation

Cloud Foundation

Our cloud practice is grounded in structured training through AWS programs, complemented by continuous self-driven learning and applied implementation.

Rather than positioning cloud as a certification exercise, we focus on using cloud platforms correctly in real environments, especially where they intersect with networking, monitoring, and operational systems.

02 — Philosophy

Core Philosophy

Cloud does not replace engineering fundamentals. It rewards engineers who already understand networking, systems, failure modes, and operations.

Our background in telecoms and ISP operations directly informs how we design and operate cloud systems.

03 — AWS

AWS Technical Depth

Architectural understanding, not just service familiarity

AWS Networking

  • VPC design and CIDR planning
  • Public vs private subnets
  • Route tables and network segmentation
  • Internet Gateways, NAT Gateways
  • VPC peering vs Transit Gateway
  • Hybrid connectivity (VPN, Direct Connect)

Compute

  • EC2 instance families and sizing
  • Auto Scaling Groups
  • Stateless vs stateful workloads
  • AMIs and lifecycle management
  • Spot vs On-Demand vs Reserved

Storage

  • EBS vs EFS vs S3
  • Performance characteristics
  • Backup and snapshot strategies
  • Data durability vs availability

Identity & Security

  • IAM users, roles, and policies
  • Least-privilege design
  • Security Groups vs NACLs
  • Key management
  • Audit and logging discipline

Observability & Operations

  • CloudWatch metrics and logs
  • Alarms that matter
  • Log retention and analysis
  • Avoiding alert fatigue

Cost Control

  • Cost allocation and tagging
  • Identifying waste
  • Rightsizing
  • Designing with cost awareness

This is where telecom thinking prevents catastrophic cloud mistakes.

04 — GCP

GCP Comparative Understanding

Clear comparative strengths, not multi-cloud for the sake of it

GCP Networking

  • VPCs as global constructs
  • Subnet regionality
  • Native any-to-any routing
  • Load balancing at global scale
  • Private Google Access

Compute & Containers

  • Compute Engine
  • Managed instance groups
  • Kubernetes (GKE) concepts
  • Workload portability

Storage & Data

  • Cloud Storage (object)
  • Persistent Disks
  • Data durability models
  • Analytics pipeline integration

GCP networking is extremely attractive for latency-sensitive and distributed systems.

05 — Hybrid Design

Hybrid & Multi-Environment Design

This ties everything back to the telecom foundation:

Typical Use Cases

  • On-prem / ISP infrastructure + cloud
  • Cloud-hosted NOCs
  • Monitoring and analytics platforms
  • Backup connectivity via satellite or SD-WAN
  • OSS/BSS workloads

Key Engineering Challenges

  • Latency
  • Routing symmetry
  • Security boundaries
  • Failure propagation
  • Operational ownership

Cloud without hybrid thinking is incomplete.

Cloud bills punish sloppy engineering.

07 — Operations

Operations: Where Most Cloud Projects Fail

  • Monitoring is incomplete
  • Alerting is noisy
  • Costs are ignored
  • Changes are undocumented
  • No one owns the system end-to-end

Our work focuses heavily on operational maturity, not just deployment.

Field note — 2026

Cloud bills punish sloppy engineering, and in 2026 they punish it faster: consumption-priced AI services and GPU workloads (now a double-digit share of spend at AI-forward shops) have made unexpected charges the norm rather than the exception, and FinOps has quietly widened its remit from "cloud" to the whole technology estate — SaaS, licensing, private cloud, and the data center racks people swore they'd retired. The pendulum has settled on "cloud where it makes sense": most teams we see are running hybrid on purpose, keeping steady-state and data-heavy workloads on-prem or with local providers while egress economics — and the EU Data Act's 2027 ban on blanket egress fees — reshape what "lock-in" actually costs. The differentiator is no longer which provider you pick but whether your tagging, unit economics, and rightsizing are automated enough to keep up with spend that now moves at deployment speed.

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