| Aug | SEP | Oct |
| 20 | ||
| 2019 | 2020 | 2021 |
COLLECTED BY
Collection: GDELT Project
Tekton
Kubernetes-native resources for declaring CI/CD pipelines.
Cost Management
Tools for monitoring, controlling, and optimizing your costs.
●Media and Gaming
Zync Render
Platform for 3D modeling and rendering on Google Cloud infrastructure.
Anvato
Media content platform for OTT services and video streaming.
OpenCue
Open source render manager for visual effects and animation.
| Predefined machine types | Compute Engine offers predefined virtual machine configurations for every need from small general purpose instances to large memory-optimized instances with up to 11.5 TB of RAM or fast compute-optimized instances with up to 60 vCPUs. |
| Custom machine types | Create a virtual machine with a custom machine type that best fits your workloads. By tailoring a custom machine type to your specific needs, you can realize significant savings. |
| Confidential VMs | Confidential VMs are a breakthrough technology that allows you to encrypt data in use—while it’s being processed. It is a simple, easy-to-use deployment that doesn't compromise on performance. You can collaborate with anyone, all while preserving the confidentiality of your data. |
| Preemptible VMs | Low-cost, short-term instances designed to run batch jobs and fault-tolerant workloads. Preemptible VMs provide significant savings of up to 80% while still getting the same performance and capabilities as regular VMs. |
| Live migration for VMs | Compute Engine virtual machines can live-migrate between host systems without rebooting, which keeps your applications running even when host systems require maintenance. |
| Persistent disks | Durable, high performance block storage for your VM instances. You can create persistent disks in HDD or SSD formats. You can also take snapshots and create new persistent disks from that snapshot. If a VM instance is terminated, its persistent disk retains data and can be attached to another instance. |
| Local SSD | Compute Engine offers always-encrypted local solid-state drive (SSD) block storage. Local SSDs are physically attached to the server that hosts the virtual machine instance for very high input/output operations per second (IOPS) and very low latency compared to persistent disks. |
| GPU accelerators |
GPUs can be added to accelerate computationally intensive workloads like machine learning, simulation, and virtual workstation applications. Add or remove GPUs to a VM when your workload changes and pay for GPU resources only while you are using them. Our new A2 VM family is based on the NVIDIA Ampere A100 GPU. You can learn more about the A2 VM family by requesting access to our alpha program. |
| Global load balancing | Global load-balancing technology helps you distribute incoming requests across pools of instances across multiple regions, so you can achieve maximum performance, throughput, and availability at low cost. |
| Linux and Windows support | Run your choice of OS, including Debian, CentOS, CoreOS, SUSE, Ubuntu, Red Hat Enterprise Linux, FreeBSD, or Windows Server 2008 R2, 2012 R2, and 2016. You can also use a shared image from the Google Cloud community or bring your own. |
| Per-second billing | Google bills in second-level increments. You pay only for the compute time that you use. |
| Commitment savings | With committed-use discounts you can save up to 57% with no up-front costs or instance-type lock-in. |
| Sustained-use savings | Sustained-use discounts are automatic discounts for running Compute Engine resources for a significant portion of the billing month. |
| Container support | Run, manage, and orchestrate Docker containers on Compute Engine VMs with Google Kubernetes Engine. |
| Reservations | Create reservations for VM instances in a specific zone. Use reservations to ensure that your project has resources for future increases in demand. When you no longer need a reservation, delete the reservation to stop incurring charges for it. |
| Right-sizing recommendations | Compute Engine provides machine type recommendations to help you optimize the resource utilization of your virtual machine (VM) instances. Use these recommendations to resize your instance’s machine type to more efficiently use the instance’s resources. |
| OS patch management | With OS patch management, you can apply OS patches across a set of VMs, receive patch compliance data across your environments, and automate installation of OS patches across VMs - all from a centralized location. |
| Placement Policy | Use Placement Policy to specify the location of your underlying hardware instances. Spread Placement Policy provides higher reliability by placing instances on distinct hardware, reducing the impact of underlying hardware failures. Compact Placement Policy provides lower latency between nodes by placing instances close together within the same network infrastructure. |