Cloud.Google Compute Engine, $ (on request) on Linux/Windows Cloud


Compute Engine has been added on Oct 4, 2022
cloud.google.com
Cloud.Google
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☎ Phone (650) 330-0100
📠 Fax (650) 618-1499
  • 💡 Plan Name: Compute Engine (sku #p123547)
  • 🔧 Category: Cloud / Linux/Windows
  • 💰 Price:$ (on request) VAT exc
  • 💿 Disk Space: unlimited
  • 📶 Traffic bandwidth: unmetered
  • 💲 Setup Fee: free
🔌 Hosted domains :unlimited
🆓 free domains :0
📌 Dedicated IPs :0
💳 Payment Methods :Credit / Debit / Prepaid Cards
🔨 Control Panel :[In-house]
✍️ Support Options :Email
🌏 Server Locations :United States
Targeting :US
screenshot of Compute Engine from cloud.google.com

See also initial Compute Engine plan location on their website!


📜 Plan description

Pricing for Compute Engine is based on per-second usage of the machine types, persistent disks, and other resources that you select for your virtual machines. If you have a specific project in mind, use the pricing calculator to estimate cost. You can also reach out to our sales team to request a quote.

Item On-demand price Spot price* 1 year commitment price 3 year commitment price
Predefined vCPUs $15.92 / vCPU month $4.78 / vCPU month $10.03 / vCPU month $7.16 / vCPU month
Predefined Memory $2.13 / GB month $0.64 / GB month $1.34 / GB month $0.96 / GB month

Predefined machine types: Start running quickly with pre-built and ready-to-go configurations
Custom machine types: Create VMs with optimal amounts of vCPU and memory, while balancing cost
Spot machines: Reduce computing costs by up to 91%.
Confidential computing: Encrypt your most sensitive data while it’s being processed
Rightsizing recommendations: Optimize resource utilization with automatic recommendations

E2, N2, N2D, and N1 are general-purpose machines offering a good balance of price and performance, and are suitable for a wide variety of common workloads including databases, development and testing environments, web applications, and mobile gaming. They support up to 224 vCPUs and 896 GB of memory.

T2D offers the best price-performance compared to general-purpose VMs from any of the leading public cloud vendors. It is the first instance type in the Tau VM family and comes in predefined shapes, with up to 60vCPUs per VM and 4GB of memory per vCPU. T2D is ideal for scale-out workloads like web servers, containerized microservices, media transcoding, and large scale java applications.

Ultra-high memory (M2, M1)
Memory-optimized machines offer the highest memory configurations with up to 12 TB for a single instance. They are well suited to memory-intensive workloads such as large in-memory databases like SAP HANA, and in-memory data analytics workloads.

📄 Editorial Review

Google Cloud is one of the big global hyperscale platforms and runs on the same backbone that powers Search, YouTube, Maps and other Google services. As a place to host applications and websites, it behaves very differently from a traditional shared-hosting provider: instead of cPanel accounts and simple VPS bundles, it offers a large portfolio of IaaS, PaaS and serverless services that can be combined into anything from a small single-page app to a multi-region SaaS platform.

For "classic server" use cases, the closest equivalent to VPS or dedicated servers is Compute Engine. You can choose from multiple machine families (general-purpose, compute-optimized, memory-optimized), pick predefined or custom vCPU/RAM combos, attach SSD or HDD disks, and add GPUs when needed. Instances can live in a single zone or be part of a larger, multi-zone setup with autoscaling and managed instance groups, which allows capacity to expand and shrink automatically with load.

Above raw VMs there is a strong focus on managed runtimes. Google Kubernetes Engine (GKE) takes care of the Kubernetes control plane and integrates with load balancing, logging and monitoring, so teams mostly worry about containers, not masters. Cloud Run executes container images in a fully managed, request-driven model that scales from zero to thousands of instances based on traffic, which is ideal for API backends and web services that see variable load. App Engine adds another application-platform option where you deploy code and let the platform handle scaling, patching and much of the redundancy. For many modern web workloads, these layers are often more natural than directly managing VMs.

Storage and content delivery are covered by Cloud Storage for objects, Persistent Disks and Filestore for block and file storage, and Cloud CDN for caching content at the edge. Databases range from managed relational engines like Cloud SQL and AlloyDB for PostgreSQL to fully distributed systems such as Cloud Spanner, Bigtable, Firestore and Memorystore. Together they cover typical hosting needs: transactional databases for web apps, large-scale analytics, low-latency key-value stores and globally consistent data when required.

Networking and edge services are another strong point. Cloud Load Balancing spreads traffic across instances and regions, Cloud DNS provides authoritative DNS with low latency, and Cloud Armor adds a managed WAF plus DDoS mitigation. SSL/TLS certificates can be handled by Certificate Manager and integrated into load balancers so that HTTPS is essentially automatic. With Cloud Domains, it is even possible to register domains directly under the same account and keep workloads, DNS and certificates under one roof.

Overall, this is a platform built around performance, security, reliability and integration with data/AI tools, not a budget shared host. Teams familiar with DevOps, containers and infrastructure-as-code can use it to build sophisticated, highly available architectures. Someone who just wants a one-click WordPress site with email and cPanel will find it powerful but overkill and relatively complex.

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