VMware & Azure exit to Google Cloud.
Discovery, landing zone, cutover and operating model to move workloads off VMware or Azure onto Google Cloud — with a zero-drama production cutover.
Migration services →Your Google Cloud delivery partner.
Cloudpeakify is a Google Cloud consultancy. We migrate, build and govern on Google Cloud — from VMware and Azure exit to Vertex AI agents, landing zones and FinOps — delivered by senior engineers, not slideware.
Premier Google Cloud Partner
VMware / Azure → GCP migration
Vertex AI & Gemini agents
Landing zones & FinOps
24h response window
Google Cloud services
Where teams bring us in on Google Cloud.
As a Premier Google Cloud Partner we own the hard parts of your Google Cloud journey — migration, AI agents, governance and platform — and hand back something your team can actually run.
Vertex AI & Gemini agents, in production.
Agent Builder and Gemini rollouts with tool permissions, prompt-injection review, logging and incident response before an agent touches production.
Vertex AI Agent Pilot →Org Policy, IAM, networking, FinOps.
Google Cloud landing zones with Org Policy, IAM, VPC Service Controls, budget guardrails and reviewable governance your auditors accept.
GCP Landing Zone Sprint →GKE / Anthos, Cloud Build, Terraform.
Production platform engineering on Google Cloud — GKE and Anthos, Cloud Build pipelines, Terraform IaC and CI/CD guardrails delivered by engineers.
GKE Readiness Sprint →For individuals · Separate B2C store
Looking for ebooks, courses or self-service toolkits?
Cloudpeakify Store is a separate self-service learning business for individual buyers. Store purchases do not include Cloudpeakify consulting, implementation, SLA or managed-service delivery.
Decision-first delivery
After a discovery sprint, you know whether to scale on Google Cloud — or stop.
Every engagement ends with a decision you can defend internally: numbers, risks, priority, owner and the next investment on Google Cloud.
Scope buyers can approve
Fixed entry, clear price, limited scope. No open-ended discovery that turns into endless consulting.
Proof for security and ops
Permission matrix, logging, incident flow, handoff notes and reviewable evidence. The output is working evidence, not just slides.
Next step without pressure
Move into a migration, platform build, governance programme or Vertex AI pilot. The decision is explicit.
Service routes
Pick the problem. Get a concrete next step on Google Cloud.
Each route has a defined output: migration plan, agent rollout decision, governed landing zone or a production platform — scoped so the decision is easy to justify internally.
Moving off VMware or Azure to Google Cloud?
For teams that need discovery, a landing zone, a safe cutover and an operating model to run on Google Cloud after go-live.
- VMware / Azure exit assessment
- landing zone and cutover plan
- post-migration operating model
Putting Vertex AI or Gemini agents into production?
For teams that need tool permissions, prompt-injection review, logging and fallback before an agent touches live systems.
- Vertex AI Agent Builder rollout
- agent security and incident response
- risk register and review workflow
Need a production platform on Google Cloud?
For teams that want GKE/Anthos, Cloud Build pipelines, Terraform IaC and CI/CD guardrails delivered by engineers.
- GKE / Anthos platform engineering
- Cloud Build / CI-CD and IaC guardrails
- repo standards for AI-assisted delivery
Need a governed, cost-aware Google Cloud?
For teams that need Org Policy, IAM, VPC Service Controls, networking and budget guardrails reviewable from day one.
- landing zone and Org Policy baseline
- IAM, VPC-SC and networking
- FinOps and budget guardrails
Delivery sprints for a bounded first B2B outcome
Start with a defined technical outcome, timeline and acceptance decision. These engagements are scoped through a fit check and proposal, independently of the consumer Store.
AI Agent Security Sprint
1–2 weeks to select permissions, logging, review steps and fallback logic. The goal is to decide what is safe to roll out first.
- permission matrix and risk baseline
- reviewable incident and support flow
- 8-week rollout roadmap
Google Cloud Operations Sprint
4–6 weeks for the first working workflow on support, incident notes, AD, DNS or runbooks. The sprint is measurable and ready for stakeholder review.
- support handoff and evidence flow
- triage automation and summary workflow
- demo with clear operational metrics
Cloud Governance Sprint
6–10 weeks for governance work that can handle production traffic, audit and budget pressure. Includes observability, runbooks and an ownership model.
- Azure, GCP or AWS governance baseline
- quality, cost and incident monitoring
- handover or follow-on implementation
Cloud Pulse
What is happening on the cloud market: AWS, Azure and Google Cloud
Daily overview of release notes, pricing changes, security advisories and roadmap signals across AWS, Microsoft Azure and Google Cloud Platform.
Cloud Pulse aggregates official cloud release notes and highlights the most relevant updates for architecture, security, operations and cost control.
Google Cloud · monitoring updates
AWS · monitoring updates
Azure · monitoring updates
AWS
Security
AWS security release notes and networking updates
We track security advisories, patching and governance changes that can impact enterprise production workloads.
Continuous
Source
Azure
Pricing
Azure pricing and platform updates
We monitor pricing updates, roadmap shifts and service launches to keep planning and budgeting aligned.
Continuous
Source
Google Cloud
New feature
Google Cloud launches, deprecations and AI services
Cloud Pulse filters GCP release notes into practical engineering actions for operations and architecture teams.
Continuous
Source
Evidence tied to B2B delivery
Cloudpeakify engagements are scoped, contracted and delivered to organisations. Public examples show the operating outcome; the binding scope is agreed in a proposal and statement of work.
Managed Services Takeover
Service ownership, incidents, patching, service desk and SLA reporting with a controlled 2–4 week transition.
Review the takeover model →VMware Exit Workshop
Workload sequencing, risk register, rollback logic and a leadership decision pack before migration begins.
Plan the VMware exit →Fixed-scope GCP accelerators
Bounded landing-zone, GKE, BigQuery, Cloud SQL, Vertex AI and security outcomes with starting prices.
Compare accelerators →Still framing the internal decision? Use the Cloudpeakify Playbook before booking a fit check.
Choose the B2B outcome, not a product catalogue
Each path leads to a fit check, discovery call or scoped proposal. There is no consumer checkout in the Cloudpeakify service funnel.
Operate
Managed Services
Transfer operational ownership with measurable SLAs.
Review the service → DeliverDevOps-as-a-Service
CI/CD, IaC, observability and release governance under one cadence.
Review DevOps delivery → ModerniseVMware Exit
Build an evidence-backed migration and rollback decision.
Open the exit strategy → OptimiseFinOps Governance
Turn cloud cost visibility into accountable action.
Review FinOps governance → AccelerateGoogle Cloud accelerators
Buy a bounded production outcome with named deliverables.
Compare six accelerators → AIProduction AI delivery
Move one grounded AI use case from discovery to a measured pilot.
Review AI delivery →Why Cloudpeakify
Engineering ownership, bounded entry points and measurable organisational outcomes.
Contracted scope
Deliverables, responsibilities and acceptance criteria are agreed before delivery.
Decision-ready evidence
Every sprint ends with implemented output or a documented go/no-go decision.
Production ownership
Engineers connect architecture, delivery, operations, security and cost.
Clear commercial boundary
B2B services use proposals and agreements; consumer Store purchases remain separate.
What every B2B engagement delivers
We prioritise initiatives with a bounded outcome, named owners and reviewable acceptance criteria so leadership and delivery teams can measure progress.
Controlled rollout for AI agents
Tool permissions, approvals, logging, fallback and incident response before rollout.
- Permission matrix
- Support boundary and escalation path
- Reviewable rollout workflow
Cleaner handoffs and faster support
Incident analysis, evidence collection, ticket triage and better runbook creation for busy teams.
- Support notes cleanup
- Runbook drafting
- Evidence-ready handoffs
Safer AI-assisted delivery
Code review, PR summaries, CI/CD guardrails and IaC checks that reduce cleanup later.
- Repo instructions for AI tools
- Terraform and CI/CD guardrails
- Prompt injection review
Cloud and AI workloads under control
Identity, networking, policy, budget guardrails and a handoff model that teams can actually run.
- Landing zone review
- Budget and policy structure
- Implementation path into sprint or retainer
4
core B2B buying paths
6
fixed-scope Google Cloud accelerators
24h
target response window for qualified enquiries
Custom delivery after a B2B fit check
When a standard accelerator does not fit, we define a fixed-scope sprint or retainer through a proposal. Every solution is designed to be feasible, scalable and financially accountable.
AI Agent Security
Rollout, permissions and incident flow
We define the controls around tool access, approvals, logging and fallback before agents reach production.
- Permission matrix
- Prompt injection review
- Human fallback and support boundary
AI Ops & Support
Triage, notes and handoffs
We clean up support notes, evidence collection and runbook creation so teams can move faster.
- Ticket triage
- Incident summaries
- Runbook drafting
AI Coding & DevOps
Guardrails for AI-assisted delivery
We help teams use AI in code review, CI/CD and IaC work without losing review quality or control.
- Repo instructions for AI tools
- PR review and summaries
- Terraform and CI/CD checks
Cloud Governance
Landing zones, policy and budget control
We keep Azure, GCP or AWS AI workloads reviewable with identity, networking and budget guardrails.
- Landing zone review
- Policy and identity baseline
- Governance handoff
Delivery sprint
Custom rollout after discovery
When discovery confirms the problem and ownership boundary, we move into a fixed-scope sprint for the agreed workflow.
- Dedicated rollout plan
- Team enablement and handover
- Option to continue into retainer
Reference highlight
Stora Enso: secure cloud transformation at scale
In 12 weeks we helped Stora Enso move core apps to Google Cloud – including security redesign, deployment automation and operating guardrails.
- Zero-downtime cutover (Stora Enso)
- 42% reduction in operating costs (Stora Enso)
- End-to-end observability & incident response (TietoEvry & other clients)
01 · Discover
Innovation workshop
We validate priorities, uncover risks and design a high-level architecture.
02 · Build
Engineering sprints
We deliver iteratively – IaC, pipelines, security and operating model.
03 · Run
Adopt & operate
We transfer knowledge, train teams and support delivery sprints with a clear handoff.
What clients say
We embed with your team, bringing enterprise experience and startup agility to every engagement.
“Cloudpeakify designed our entire data platform on GCP. Thanks to their delivery we now have a single environment for reporting, predictive models and realtime monitoring. The project was delivered on time with crystal-clear documentation.”Head of Data & Analytics, European retailer
Worked with Cloudpeakify? Share your public feedback on Firmy.cz, Trustpilot or Clutch.
Meet the team
Cloudpeakify runs with a core architecture team and a vetted partner network for security, data and implementation delivery.
Richard Skacel
Cloud Solutions Architect with 15+ years in enterprise IT and direct ownership of critical migration and operating programs.
Cloud, AI and delivery engineering
Hands-on team for platform engineering, CI/CD, observability, incident response and AI agent governance.
- Google Cloud, Azure and hybrid infrastructure backgrounds
- SLA-based operations and reporting model
- Security and compliance guardrails from day one
Public trust signals
Public reviews and references are available on Trustpilot, Clutch and Firmy.cz. Standards we align to: ITIL, NIST and CIS Controls.
As seen on & ecosystem
Public ratings are available on Trustpilot, Clutch and Firmy.cz. Daily delivery stack:
Google Cloud delivery
Azure enterprise workloads
AI rollout programs
Reference environments: Stora Enso, Tietoevry, NNIT and other enterprise teams across CZ and EMEA.
Cloudpeakify has delivered projects for 80+ customers and teams served.
Run cloud delivery without operations chaos
We take ownership of critical technical areas so client teams can run stable operations and ship faster.
Technical partner for enterprise transformation
We connect operations, DevOps, AI and security into one execution model that remains sustainable at scale.
Ownership, transparent communication, measurable outcomes
Each sprint ends with concrete output. We prioritize first-hand engineering practice and accountability.
Choose the first B2B outcome and get a scoped next step.
Start with a 20-minute fit check. We will confirm the right accelerator, discovery sprint or managed-service path before any delivery commitment.