For infrastructure and technology leaders who need a production-ready Google Cloud foundation, a controlled VMware or Azure migration, an accountable operating model or secure AI infrastructure.
Named capabilities, public professional history and concrete delivery artefacts — without invented client metrics.
Google Cloud consulting and delivery is the primary offer, from landing zones and workload migration to GKE, data platforms and operations.
Public professional history includes enterprise infrastructure roles at NNIT and Tietoevry and hands-on work across VMware, Hyper-V, GCP and Azure.
Delivery combines infrastructure as code and platform operations with permission boundaries, approval gates and observability for AI agents and MCP tools.
Proof standard: public profiles and named partner status are linked where available. Client-specific architecture and results are shared only when disclosure is permitted.
The commercial value starts with a defensible decision, not a dashboard of unsupported numbers.
Which VMware or Azure workloads should move to Google Cloud, in what sequence and with what rollback path?
Cloud migration planningWho owns monitoring, incidents, patching, service desk and evidence after the platform goes live?
Managed Cloud OperationsWhich identity, policy, cost and AI-tool guardrails must exist before workloads or agents reach production?
AI Agent SecurityWe build a service desk that combines best‑in‑class ticketing, a self‑service portal and clear SLAs to keep your operations predictable.
We integrate email, chat and forms into a single queue so nothing is lost and everything is measurable.
We define SLAs and prepare dashboards to track response, availability and satisfaction.
We create a knowledge base and guides so your team can resolve common requests without waiting.
These six offers generate most qualified conversations. Each is framed as a buyable first step, not an undefined consulting scope.
We take over 24/7 operations for critical systems including service desk, patching, incident response and regular SLA reporting.
Managed DevOps team with SLA for CI/CD, IaC, observability, release governance and operating stability.
A structured first step for teams deciding which VMware workloads to keep, move, modernize or retire—and how the target estate should operate.
Already committed to a VMware exit? Open the migration offer →
A short sprint for teams that need cloud spend visibility, reporting discipline and stronger decision support around reservations or rightsizing.
Design the governed platform behind Gemini, Claude Code, Codex, MCP servers and private model runtimes across GCP, on-premises and hybrid infrastructure.
Assess and control how Claude Code, Codex and Gemini reach repositories, developer environments, MCP tools, CI/CD and production infrastructure.
Design and build a production agent on Google Cloud, on-premises or across a hybrid environment.
A bounded security review for teams connecting AI agents to MCP servers, cloud APIs, data sources and operational tools.
Pricing and capacity are agreed after discovery based on environment size, SLA target and how much ownership you want us to take over.
Available when a technical firm's positioning, proof and lead journey need to catch up with its engineering expertise. This is a supporting service, separate from our core cloud delivery.
View the secondary website offer →Each accelerator has a bounded scope, named deliverables and a decision at the end. Starting prices exclude VAT and are confirmed after a 20-minute fit check.
A governed foundation for teams moving their first production workloads to Google Cloud.
Turn an experimental Kubernetes setup into an operable production platform.
Reduce avoidable query cost and improve reliability before data usage scales.
Prove recovery assumptions before an outage makes the decision for you.
Move one valuable Gemini or Vertex AI use case from idea to a measured internal pilot.
Close the highest-impact identity, network and data-control gaps in a live GCP environment.
Need a combined scope? We credit the accelerator discovery effort into a follow-on migration, platform, data or managed-service engagement agreed within 30 days.
These modules are not positioned as a separate catalogue. We attach them where they materially improve the main delivery scenario.
Each module supports operations takeover, DevOps delivery, hybrid infrastructure decisions or FinOps governance.
We design and run hybrid/multicloud platforms that are secure, scalable and measurable.
We run the platform as a product with SLAs, backlog and self‑service.
Data platforms, pipelines and AI products built for audit and production.
Control plane for AI agents — cost, governance and audit visibility.
Practical security from architecture to detection and audit readiness.
Cloud financial governance with forecasting and measurable savings.
Operations for critical services with defined SLAs and measurable uptime.
Delivered as a retainer with defined SLAs or as a project engagement.
Case study spotlight is there to help with pattern matching. In the call we can map the closest scenario to your environment, ownership model and measurable targets.
Services usually sit at the end of discovery. To make the decision easier, some teams still need a playbook, a finance view or a direct contact route.
If you need clearer baselines, scope framing or internal alignment, start with the Cloudpeakify Playbook.
For organisations with a defined AI use case, we scope the appropriate discovery, pilot or managed production engagement.
If you need to circulate the topic internally, use the webinar page first and come back with a sharper scope.
If the scope is already clear and this is about operations takeover, DevOps or a hybrid infrastructure decision, go straight to the contact form.
2–4 weeks focused on architecture blueprint, roadmap and business case.
Iterative delivery: IaC, pipelines, security, data and applications.
Long-term operations, FinOps governance, incident response and regular reviews.
We separate verifiable credentials and public work from confidential delivery details.
Our primary positioning and delivery path is Google Cloud consulting, migration, platform engineering and operations.
Founder Richard Skácel's public profile documents more than 15 years in infrastructure and cloud roles, including NNIT and Tietoevry.
Use the independent profile to verify Cloudpeakify's company presence and the public review history currently available.
OrderCore.ai should not sit as a minor mention. It is a larger product effort that shows how we combine product decisions, platform engineering and ongoing delivery.
Product changes and technical decisions move in a short loop, without disconnect between business and delivery.
The architecture is built for workflows, integrations and automation, not for a one-off demo application.
As with managed services, we hold the operational side as well, not only development sprints.
Alongside OrderCore.ai, we keep shipping smaller public references where iteration speed, clarity and maintainability are visible fast.
Web presence and digital support for a guesthouse and restaurant, with focus on clarity, maintainability and practical ongoing updates.
In one discovery call we determine whether your highest priority is operations takeover, DevOps delivery, hybrid infrastructure placement or FinOps governance. Expect a concrete next-step proposal within a week.
We prefer service contracts with clear SLAs and explicit ownership boundaries. That is the fastest path to a measurable outcome.