This page is not a catalogue of everything we could theoretically do. It is the shortlist of four scenarios companies hire us for most often: operations takeover, DevOps-as-a-Service, VMware exit and FinOps governance.
Fast snapshots with measurable outcomes. We can walk through full runbooks on a call.
We own incidents, changes, patching and service desk workflows. Leadership gets transparent SLA reporting.
CI/CD, IaC, observability and release governance delivered as a managed SLA-based service.
Vertex AI, evaluation and guardrails. Sales gets personalized scripts from CRM.
These references are anonymized on purpose: architecture detail, stack and client context are shared after NDA or a qualified call. On the website we keep only verified outcomes and scenario type.
Real metrics from Managed Services, DevOps-as-a-Service and 24/7 operations that our delivery teams replicate.
Operating cost reduction after migrating Stora Enso to Google Cloud.
VMware exit blueprintSLA delivered while running 24/7 operations for TietoEvry with zero downtime releases.
24/7 operations playbookTime to first FinOps recommendations in enterprise environments – audit, governance and quick wins.
FinOps governance planWe 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 four 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 that need to decide what to migrate, when to move it and how to control risk.
A short sprint for teams that need cloud spend visibility, reporting discipline and stronger decision support around reservations or rightsizing.
Pricing and capacity are agreed after discovery based on environment size, SLA target and how much ownership you want us to take over.
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, VMware exit 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 teams under cost pressure, the finance dashboard and FinOps path provide decision support beyond the service page.
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 VMware exit, 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.
Selected deliveries that illustrate how we help clients in practice.
Moved critical transaction systems to GCP within 12 weeks, established HA architecture and FinOps guardrails.
Built a unified BigQuery warehouse with realtime streaming and Looker reporting for 200+ users.
Implemented IoT sensor monitoring, ML predictions and automated alerts to reduce downtime by 25%.
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, VMware exit 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.