For enterprise and scale-up teams we solve four recurring scenarios: SLA-backed operations takeover, DevOps-as-a-Service for faster delivery, Vertex AI / RAG use cases on internal data, and VMware exit with a controlled cutover path. You leave the first call with a concrete next step, not a generic pitch.
Service desk ownership · 24/7 on-call · CI/CD + IaC · Vertex AI / RAG · observability · FinOps governance
Cloudpeakify is led by Richard Skácel with 15+ years of enterprise experience across infrastructure, cloud delivery and managed run operations. We do not stop at advisory. We step in to own the next delivery move.
Lead intake
Instead of sending everyone into a generic contact page, we route visitors into the right scenario first. That improves lead quality and reply speed for operations, delivery, AI and transformation requests.
For teams that need 24/7 ownership, service desk, patching and operational reporting without growing internal headcount.
For SaaS and product teams that need CI/CD, IaC, observability and release governance as an operating service.
For teams that need quick decisions around migration, rollback, DR or incident response for critical infrastructure.
For teams that want to move a GenAI use case from idea to secure pilot and then production without leaking sensitive data.
The traffic already shows intent. So AI is no longer just a content topic on the homepage. It is a commercial offer with a defined output, timeline and path into delivery.
1–2 weeks to select the use case, data sources, guardrails and business metrics. The goal is to decide what should move into a pilot and what should not.
4–6 weeks for the first working use case on documents, CRM or an internal knowledge base. The pilot is measurable, auditable and ready for stakeholder review.
6–10 weeks for a Vertex AI pipeline that can handle production traffic, audit and FinOps pressure. Includes observability, runbooks and an ownership model.
Cloud Pulse
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.
We track security advisories, patching and governance changes that can impact enterprise production workloads.
We monitor pricing updates, roadmap shifts and service launches to keep planning and budgeting aligned.
Cloud Pulse filters GCP release notes into practical engineering actions for operations and architecture teams.
Short snapshots focused on availability, cost and operating stability. Full runbooks are available on call.
We own incidents, patching and service desk workflows. Leadership gets transparent SLA reporting.
CI/CD, IaC, observability and release governance delivered as a managed SLA-based service.
RAG, evaluation and guardrails on sensitive data. Typical use cases are knowledge assistants, CRM copilots and enterprise search on internal sources.
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 confirmed impact on SLA, lead time and cloud spend.
License pressure, weak DR posture and cutover uncertainty. We build phased migration plans with tested rollback and measurable outcomes for leadership.
Each track ships with a proven blueprint, delivery team and measurable impact. Pick the scenario that matches your current priority.
Every landing page gives you a detailed blueprint. Link them from the homepage, resources and navigation.
License impact assessment, workload sequencing, cutover/rollback and FinOps baseline.
Explore exit plan → FinOpsExecutive dashboards, anomaly alerts and governance guardrails.
See how we save → Platform engineeringGitOps, service catalogue and golden pipelines to ship faster.
View the blueprint → DevOps-as-a-ServiceManaged CI/CD, observability, security and 24/7 run operations in one team.
Explore the offer → AI & LLMVertex AI, governance and compliant access to internal datasets for GenAI workloads.
See the blueprint → PlaybookReading that turns into workshop, roadmap and a real rollout.
Open playbook → AgentOpsCost per run, trace + replay and policy guardrails for production without chaos.
View the demo → Managed Services (Core)24/7 run ownership, service desk, incident response, reporting and direct links into DevOps and FinOps.
How Managed Services work →Engineering-first partner translating cloud expertise into measurable business impact.
12 weeks from discovery to cutover. Stora Enso proved a 42 % OPEX reduction.
Baseline, dashboards and anomaly alerts your CFO can rely on each quarter.
GitOps, service catalogue and golden pipelines – faster shipping without chaos.
Vertex AI with governance and data isolation so generative AI stays compliant.
Beyond architecture – we translate expertise into measurable outcomes for cloud, FinOps and operations.
OrderCore.ai is a larger product effort and should be visible as such. We are building the product, platform and delivery model for scenarios where software handles the full ordering workflow, not just a payment step.
OrderCore.ai shows that we can carry product decisions, technical design and ongoing delivery iterations.
The architecture is designed for API-first scenarios, further integrations and workflow control without fragile glue code.
Like our services work, this is not only about build speed but also operational stability, iteration and rollout.
Alongside OrderCore.ai, we keep a smaller set of concrete delivery work where quality and maintainability are visible very quickly.
Ongoing web presence work and practical digital support for the guesthouse and restaurant by the Terlicko reservoir.
These metrics tie directly to our new landing pages and show the outcomes we achieve within the first months.
Operating cost reduction after moving Stora Enso workloads to Google Cloud.
VMware exit blueprintSLA delivered while running 24/7 operations for TietoEvry, including zero downtime releases.
24/7 operations playbookTime to first FinOps recommendations for enterprise teams – audit, governance and quick wins.
FinOps governance planWe prioritise initiatives with the fastest impact – from cloud strategy to measurable cost optimisation and operations. Every engagement has clear milestones so both executives and delivery teams see value in the first month.
Workshops, current-state assessment and a prioritised roadmap with business case – including governance guardrails.
Migrations, infrastructure automation and modern CI/CD. We focus on zero-downtime cutovers and auditable documentation.
We build data warehouses and AI use cases that accelerate decision-making and automate reporting.
We run cloud operations 24/7, monitor spend and keep your environments compliant and secure.
We act as a long-term partner bridging strategy, engineering and operations. Every solution is designed to be feasible, scalable and financially sound.
We define your target cloud architecture, adoption roadmap and governance model that supports business outcomes.
We move workloads to GCP, automate infrastructure and modernise applications using containers, serverless and IaC.
We deliver and run corporate endpoints plus virtual desktops with hardened, centrally managed images.
We build modern data warehouses, pipelines and AI solutions that deliver actionable insights and automation.
We run operations, cost management and security. We measure the impact of cloud investments at scale.
In 12 weeks we helped Stora Enso move core apps from legacy VMware to Google Cloud – including security redesign, deployment automation and FinOps & Operations guardrails.
We validate priorities, uncover risks and design a high-level architecture.
We deliver iteratively – IaC, pipelines, security and operating model.
We transfer knowledge, train teams and run FinOps & Operations monitoring with 24/7 support.
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.
Cloudpeakify runs with a core architecture team and a vetted partner network for security, data and 24/7 operations delivery.
Cloud Solutions Architect with 15+ years in enterprise IT and direct ownership of critical migration and operating programs.
Hands-on team for platform engineering, CI/CD, observability, incident response and FinOps governance.
Public reviews and references are available on Trustpilot, Clutch and Firmy.cz. Standards we align to: ITIL, NIST and CIS Controls.
Public ratings are available on Trustpilot, Clutch and Firmy.cz. Daily delivery stack:
Google Cloud delivery
Azure enterprise workloads
VMware transformation 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.
We take ownership of critical technical areas so client teams can run stable operations and ship faster.
We connect operations, DevOps, AI and security into one execution model that remains sustainable at scale.
Each sprint ends with concrete output. We prioritize first-hand engineering practice and accountability.
In one 30-minute discovery call we review your current state, isolate the highest-risk area and recommend the next delivery step. No generic slide deck, straight to execution with a clear recommendation whether you need an AI pilot, takeover or transformation sprint.