Note: This page documents methodologies and frameworks I’ve developed through past consulting engagements. These are shared for educational purposes and knowledge sharing only.

Cloud Platform Modernization Methodology

This methodology for modernizing legacy systems into reliable, observable, and cost-efficient Google Cloud platforms was developed through past engagements.

Typical Outcomes

30-50% latency reduction
20-40% cloud cost reduction
SLO baseline in < 6 weeks

Methodology Components

2-Week Cloud Readiness & Cost Audit - Historical Reference: €3,500

Note: Historical pricing for reference only - not currently available

Top-10 findings, 3 Day-7 quick wins, 90-day roadmap. Privacy-first: no PII required.

Modernization Blueprint (4 weeks) - Historical Reference: €6-10k

Note: Historical pricing for reference only - not currently available

Target GCP architecture (BigQuery/Dataflow/Cloud Run), migration plan, cost model, SLOs, risk register.

Observability & SLO Baseline (2 week) - Historical Reference: €4-6k

Note: Historical pricing for reference only - not currently available

p95/p99, error rate, queue lag dashboards + alert policies + runbooks.

Who it’s for

Teams under pressure from latency, incidents, or rising cloud bills who need a clear, low-risk path from current state to a stable, observable, cost-controlled platform.

What you get (deliverables)

Target Architecture on GCP (BigQuery, Dataflow, Cloud Run, Pub/Sub, Terraform)
Migration Map: carve-outs, sequence, and blast-radius limitations
Cost Model & Guardrails: SKUs, sizing, lifecycle, quotas, budgets
SLO/SLI Design: golden signals, targets, alert policy, runbooks
Risk Register & Rollback: failure modes, error budgets, canaries
90-Day Jira-Ready Backlog: owner, effort, impact, dependencies

How it works (week-by-week)

Week 1 - Discovery (no PII)

Inputs: architecture diagrams, IaC, billing exports (CUR/BigQuery), incident summaries, team interviews
Outputs: problem framing; success metrics; constraints

Week 2 - Target Design

Service decomposition / hot-path isolation
Data platform layout (landing -> curated -> serving); partitioning/cluster strategy
Observability baseline (OTel/Datadog dashboards)

Week 3 - Cost & SLOs

Cost model with right-sizing and retention policies
SLI/SLO definitions + alert policy; synthetic probes

Week 4 - Plan & Backlog

Migration steps, guardrails, rollout risks
90-day backlog + presentation to leadership

Historical Pricing & Terms

Note: Historical pricing for reference only - not currently available

€6-10k depending on scope depth. Privacy-first by default.
Implementation support was available as a follow-on engagement in past engagements.

Questions about this methodology? Contact me

Conflict of Interest Disclosure

Current Employment Status: I am currently employed full-time in Germany.

This methodology was developed through past consulting engagements. It is shared for educational purposes and knowledge sharing only.

All content reflects my personal views and does not represent any current or past employer. To ensure transparency and avoid any potential conflicts of interest, any potential conflicts will be disclosed and addressed in accordance with applicable regulations.