Best Serverless Platforms for Python

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

Many components are required to build real-time apps or services. These components include Kafka and VPC hosting, infrastructure code, container orchestration and observability. The Quix platform handles all the moving parts. Connect your data and get started building. That's it. There are no provisioning clusters nor configuring resources. You can use Quix connectors for ingesting transaction messages from your financial processing system in a virtual private clouds or on-premise data centers. For security and efficiency, all data in transit is encrypted from the beginning and compressed using Protobuf and G-Zip. Machine learning models and rule-based algorithms can detect fraudulent patterns. You can display fraud warning messages in support dashboards or as troubleshooting tickets.

Run code as a scalable function in a fault-tolerant and secure environment, without having to create or maintain VMs. The service creates more instances of your function as the number of function call increases. All functions are run in parallel. The runtime environment is hosted on three availability zones to ensure availability even if a zone fails. Configure and prepare functions to be ready for processing loads at all times. This mode allows you avoid cold starts and to quickly process loads of all sizes. Give functions access to VPCs to accelerate interactions with private resources such as database clusters, virtual machine, Kubernetes Nodes, etc. Serverless Functions logs and tracks information about function calls, and analyzes the execution flow and performance. You can also describe the logging mechanisms within your function code. Launch cloud functions synchronized or delayed.

We designed a container system in rust from scratch for the fastest cold start times. Scale up to hundreds of GPUs in seconds and down to zero again, paying only for what you need. Deploy functions in the cloud with custom container images, and hardware requirements. Never write a line of YAML. Modal offers up to $25k in free compute credits for startups and academic researchers. These credits can be used to access GPU compute and in-demand GPU types. Modal measures CPU utilization continuously by comparing the number of physical cores to the number of fractional cores. Each physical core is equal to 2 vCPUs. Memory consumption is continuously measured. You only pay for the memory and CPU you actually use.