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.
Talk to us →Org Policy, IAM, networking, FinOps.
Google Cloud landing zones with Org Policy, IAM, VPC Service Controls, budget guardrails and reviewable governance your auditors accept.
Governance & FinOps →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.
Platform engineering →Self-serve · Google Cloud kits
Prefer to start without a call? Productized GCP kits.
Consulting is our core, but if you want a controlled first step before engaging us, our store ships productized Google Cloud kits — same engineering, fixed scope, instant access.
GCP AI Ops Quickstart Kit — Free
A low-friction first step for teams testing Google Cloud and Vertex AI ops. Prompts, workflows, safety docs and a clear path into paid kits or a consultation.
- safe Vertex AI / GCP workflow testing
- ticket triage, logs and runbooks
- upgrade path to delivery engagement
GCP Agent Ops & Security Kit
For teams putting Vertex AI / Gemini agents into production — tool permissions, prompt-injection checks, rollout workflow and incident response.
CZK 3,626
- permission matrix and risk register
- incident response and support boundaries
- clear next step into a delivery sprint
GCP DevOps & Platform Guardrails
For teams shipping on Google Cloud — safer AI-assisted delivery across Cloud Build, GKE/Anthos, PR review and Terraform.
CZK 1,679 launch
- code review and PR summaries
- Cloud Build / CI-CD and IaC guardrails
- safer AI-assisted delivery on GCP
GCP Landing Zone Automation Kit
For teams standing up Google Cloud — Org Policy, IAM, VPC Service Controls, networking and budget guardrails as reviewable, automated baselines.
- Org Policy and budget guardrails
- landing zone automation and handoff
- governed Google Cloud foundation
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 when the bundle is not enough
The traffic already shows intent. So the bundle system is no longer just a content topic on the homepage. It is a commercial offer with a defined output, timeline and path into delivery.
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
Proof tied to the delivery model
We only show proof that affects purchase decisions: security, ops, coding and governance. Each block points to a store entry.
Controlled agent rollout without chaos
Tool permissions, prompt injection checks, logging and incident response before an agent touches production systems.
- 1 flagship engagement
- 24h reply window
- Shopify checkout
Faster evidence and handoffs for cloud operations teams
Incident analysis, triage cleanup, documentation support and a better day-to-day workflow for busy IT teams.
- 6 helper scripts
- triage workflow
- runbook cleanup
Safer AI-assisted delivery
Guardrails for code review, CI/CD, GitHub Actions, GitLab CI and IaC so AI speeds up work without cleanup.
- 30 prompts
- CI/CD guardrails
- IaC review flow
How to read these references: client names and internal runbooks are shared only in a qualified call. On the public site we keep anonymized scenarios with a clear proof point and next step in the funnel.
Delivery model snapshot
What happens after a bundle click
The first step is the free GCP kit. If it makes sense, the buyer moves to the flagship engagement and only then to an delivery sprint. No open scope without evidence.
- Free GCP kit as the controlled first proof
- Flagship engagement as the main product entry
- Delivery sprint only when a custom rollout is needed
Every bundle has a clear output
- Prompts, scripts and templates instead of broad promises
- Permission matrix, logging and review flow
- Decision on whether to continue into a sprint or stop the scope
- Store checkout that leads to the next step without extra handoff
Trusted by teams across
AI security teams
Premier Google Cloud Partner
Cloud operations
DevOps teams
Cloud governance
MSP delivery
Platform engineering
Google Cloud services
Bundles ready to buy
These are not broad topics. Each slide is a product entry point or sprint path.
What to open first
These entry points have the fastest path to purchase or the next consultation. Each card links to a concrete Store product.
Free entry
GCP AI Ops Quickstart Kit — Free
Safe first workflow, quick test of prompts and the clearest upgrade path to paid bundles.
Open free GCP kit → Flagship engagementGCP Agent Ops & Security Kit
Permissions, logging, rollout workflow and incident response before AI agents go live.
Open flagship engagement → Ops bundleCloud Foundation Governance Kit
Cleaner triage, evidence collection and handoffs for support and infrastructure teams.
Open ops bundle → Coding bundleGCP DevOps & Platform Guardrails
Guardrails for PR review, CI/CD and IaC work so AI speeds up delivery safely.
Open coding bundle → Governance kitGCP Landing Zone Automation Kit
Policy baselines, private networking and AI workload governance for Azure teams.
Open governance kit → SprintDelivery sprint
Fixed-scope rollout when the bundle is right but the team needs custom delivery and handoff work.
See sprint options →Why Cloudpeakify
Engineering-first partner turning cloud expertise into production Google Cloud delivery with measurable impact.
Productized rollouts
Fixed-scope bundles with clear outputs, not open-ended consulting.
Evidence in 14 days
Every kit ships with action steps, review points and a next-step decision.
Platform run by engineers
Prompts, scripts and workflows instead of vague AI promises.
Production-ready AI controls
Permissions, logging, review and governance before rollout.
What we deliver in bundles
Beyond concepts – each bundle ships with a measurable workflow, clear boundaries and a next-step path.
How the ladder works
One storefront, one narrative, three buying levels
Homepage, product pages and blog posts all point to the same checkout path: a discovery sprint, full delivery and a production run only when the evidence supports it.
- Store pages and content all reinforce the same delivery model
- Every bundle has a clear default next step
- Sprint appears only after the buyer has evidence, not before
Product
Free GCP kit → flagship engagement
Low-risk entry that proves the workflow and creates the purchase path.
Platform
Bundle pages + proof
Product pages, blog posts and proof sections all reinforce the same delivery model.
Delivery
Sprint only when needed
If the buyer needs custom work, the sprint is a controlled extension of the bundle, not a new narrative.
Selected custom delivery
Beyond the delivery model, we still take fixed-scope implementation work.
If your environment needs custom rollout or a deeper handoff, we can scope a sprint that stays aligned with the flagship engagement and the store logic.
Custom delivery examples
When a bundle is not enough, we keep the work fixed-scope, practical and tied to a clear outcome.
AI Agent Security Sprint
Tool permissions, approvals, fallback, logging and incident response for one concrete team environment.
- permission matrix and escalation path
- logging and review workflow
- implementation handoff
Google Cloud Operations Sprint
Support handoff, triage automation, runbook cleanup and evidence flow for busy IT and Windows teams.
- ticket triage and incident summaries
- support handoff cleanup
- runbook and evidence structure
Cloud Governance Sprint
Azure, GCP or AWS governance baseline, observability and ownership model for production use.
- policy and budget guardrails
- monitoring quality and incident flow
- handover or follow-on implementation
Google Cloud delivery in numbers
These metrics tie directly to the new product ladder and show what is live now and how quickly the offer can expand.
4
Google Cloud services live across AI agents, ops, coding and governance.
View the Store1
Flagship engagement that anchors the full delivery model.
Flagship engagement24h
Reply window for paid inquiries and implementation calls.
ContactWhat every bundle delivers
We prioritise initiatives with the fastest impact. Every bundle has clear milestones so both executives and delivery teams see value in the first month.
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
1
flagship engagement that anchors the system
4
Google Cloud services with a clear upsell path
24h
reply window for paid inquiries
Custom delivery after the bundle checkout
If a bundle proves the problem, we can continue with a fixed-scope sprint or retainer. Every solution is designed to be feasible, scalable and financially sound.
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 on top of the bundle
When the bundle proves the problem, we move into a fixed-scope sprint for your exact 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.
Pick the first bundle and we will send the next step.
If you want the lowest-risk entry, start with the free GCP kit. If you already know the problem is agent security, ops or cloud governance, buy the specific bundle and we move straight to the output.