Infomaniak Jelastic Cloud

PaaS/CaaS platform for PHP, Java, Ruby, Node.js, Python and Docker applications, sized in cloudlets (128 MB RAM, 400 MHz) that scale automatically; billed per cloudlet-hour or via fixed monthly plans, hosted in Aruba data centres.

Platform-as-a-service for deploying and running web applications in Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker with automatic provisioning of EC2, ELB, Auto Scaling, RDS, and CloudWatch, plus managed platform updates and blue/green deployments

Highly secure and reliable container orchestration service with EC2 and Fargate launch types, service discovery via Cloud Map, and deep integration with ALB, IAM, and CloudWatch

Serverless compute engine for containers that runs tasks on ECS or EKS with per-second billing, no cluster management, and task-level CPU and memory sizing

Fully managed service to deploy containerised web apps and APIs from source code or container images without managing clusters, load balancers, or scaling rules — automatic HTTPS, auto-scaling between zero and hundreds of concurrent requests, and VPC connectivity

Fully managed PaaS for building web apps and APIs in .NET, Java, Node.js, Python, PHP, and Ruby, with deployment slots, auto-scaling, and built-in authentication

Run containers without managing servers, with per-second billing, multi-container groups on shared hosts, and optional GPU support for ML inference workloads

Fully managed serverless container platform built on Kubernetes, KEDA, and Dapr for running microservices and APIs without managing cluster infrastructure, with scale-to-zero, traffic splitting, revisions, and built-in service discovery

Managed Spring Boot runtime with auto-scaling app instances, managed Config Server and Eureka service discovery. Retiring 31 March 2028; Microsoft recommends Azure Container Apps or AKS for new and migrating workloads.

Fully managed platform for web apps and APIs: Azure App Service operated by Bleu from French data centres. Language runtimes (Node.js, Python, .NET, Java), deployment slots and autoscale.

Run OCI container images on Cloudflare's global network with Workers-style invocation semantics — request-driven scale-to-zero, region-aware placement, and integration with Workers, Durable Objects, and R2 for state and storage. GA on the Workers Paid plan.

Heroku-style PaaS deploying directly from GitHub, GitLab, or container registry — auto-detects buildpacks, manages TLS and CDN, supports static sites, web services, workers, jobs, and managed databases under one application spec

Runs container images on Gcore Cloud without managing Kubernetes or VMs, with autoscaling, scale to zero and billing only while containers run

Fully managed PaaS for building web applications in Python, Java, Node.js, Go, Ruby, PHP, and .NET with automatic scaling, traffic splitting, and Standard or Flexible environments

Serverless execution of containerised tasks to completion on Cloud Run, with parallelism, task arrays, retries, timeouts up to 24 hours, and the same revision / VPC / IAM controls as Cloud Run services — purpose-built for nightly batch, data pipelines, and scheduled work

Fully managed serverless container platform that runs stateless HTTP services and jobs from container images with automatic scaling to zero and per-request billing

Heroku-managed Linux containers for running web, worker and one-off processes — git-push or Docker deploys, buildpacks, x86 dynos on Cedar and x86/Arm on next-gen Fir; low-cost Eco dynos ($5/month) sleep after 30 minutes idle

Network-isolated dyno runtime in a chosen region, on Cedar or next-gen Fir. Cedar spaces offer VPC peering, VPN and internal routing; Fir adds stable outbound IPs and OpenTelemetry drains; Shield Spaces (Cedar) target high-compliance workloads

Serverless container runtime built on Kata Containers with native Kubernetes API, second-level billing, auto-scaling to zero, and seamless bursting from CCE-managed nodes for spill-over workloads

Fully managed serverless container platform for running containers, source-to-image builds, batch jobs, and event-driven functions on a shared Kubernetes runtime without managing any underlying infrastructure

Knative-based scale-to-zero functions and event-driven workloads on OpenShift with HTTP and gRPC autoscaling, eventing routes, and Tekton pipeline integration

Container service that runs containers as first-class OpenStack resources via Docker, Kata, or runC backends — the platform equivalent of ECS / Container Instances for OpenStack-based private clouds, separate from the Magnum project (which provisions Kubernetes clusters)

Serverless container runtime that runs OCI Container Image-compliant workloads without managing VMs or Kubernetes, with per-second billing, up to 64 OCPUs per instance, instance pools for horizontal scale, and native VCN networking

Run containerised workloads serverlessly with autoscaling from zero, per-request billing, and HTTPS endpoints — for HTTP services that don't justify a full Kubernetes deployment

Run batch tasks from OCI container images on demand, via API or on Cron schedules, with automatic retries; billed on allocated vCPU and memory for execution time only (to the tenth of a second)

Run long-running container workloads (LLMs, microservices, Jupyter, custom inference) co-located with Snowflake data on managed Kubernetes — no egress, governed by Snowflake roles

Fully managed Cloud Foundry PaaS for building, deploying and scaling applications, with multi-language buildpacks, auto-scaling, a managed service marketplace and zero-downtime deployments