
pCloud Business is a cloud storage and file synchronization platform designed for teams that need controlled access, cross-platform compatibility, and predictable storage allocation. It provides centralized file management with granular permissions and optional client-side encryption.
Founded in 2013 in Switzerland, pCloud operates under EU-aligned privacy standards and offers data residency in Luxembourg (EU) and Dallas, Texas (US). The platform supports over 23 million users globally.
Core Functionality :
- Per-User Storage Allocation : 1 TB or 2 TB per user, suitable for small to mid-sized teams and distributed environments.
- Virtual File System (pCloud Drive) : Mounts as a local drive on Windows, macOS, and Linux. Files are streamed on demand, reducing local disk usage.
- File Sync & Sharing : Folder-level sync, link-based sharing, and permission control (view/edit/manage). Supports password-protected and time-limited links.
- Admin & Access Control : Centralized user management, role assignment, and storage distribution via admin console.
- Versioning & File History : File versioning with up to 180 days retention, enabling rollback and recovery.
- Cross-Platform Support : Native clients for Windows, macOS, Linux, iOS, Android, plus web interface.
- Client-Side Encryption (Optional) : Zero-knowledge encryption via pCloud Encryption for sensitive data; encryption keys are not stored server-side.
Technical Positioning:
- Swiss jurisdiction; GDPR-aligned processing
- No file size limits
- Works without mandatory ecosystem lock-in (no bundled office suite required)
- Compatible with heterogeneous environments (Linux included)
Trial : 30-day free trial available for up to 10 users.
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Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size.
Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge.
Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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Google Cloud Trace
Cloud Trace serves as a comprehensive distributed tracing system that gathers latency metrics from applications and presents this data within the Google Cloud Console. This tool enables users to monitor the flow of requests throughout their applications while providing near real-time insights into performance. It automatically evaluates all traces from the application to produce detailed latency reports, helping to identify any performance issues. Additionally, Cloud Trace is capable of capturing traces from various environments, including VMs, containers, and App Engine projects. With Cloud Trace, users can delve into specific latency details for individual requests or review the cumulative latency across the entire application. The platform offers a range of tools and filters to facilitate the swift detection of bottlenecks and their underlying causes. This system is built upon the same principles that Google employs to ensure its services operate seamlessly at a massive scale, reflecting a robust and reliable solution for performance monitoring. As such, it becomes an essential resource for developers aiming to optimize their applications effectively.
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