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What are the differences?

Google Cloud Run vs. Google Kubernetes Engine GKE

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GoogleKubernetesEngine(GKE)

  • Managed Kubernetes: GKE is a fully managed Kubernetes service offering advanced features for container orchestration.
  • Complete Control: It provides extensive control over infrastructure, networking, and Kubernetes configurations.
  • Scalability: GKE allows for fine-grained scaling and load balancing, making it suitable for complex applications and microservices architectures.
  • Ideal for: Organizations with Kubernetes expertise, complex applications, and specific infrastructure requirements.

10x

Google contributes 10x more code than any other public cloud

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GoogleCloudRun

  • Serverless Platform: Cloud Run is a fully managed serverless compute platform that automatically scales your containers based on incoming requests.
  • Simplified Development: It offers a serverless experience, allowing developers to focus on writing code without managing infrastructure.
  • Event-Driven Execution: Cloud Run supports event-driven workloads, making it suitable for applications triggered by HTTP requests or events.
  • Ideal for: Stateless applications, serverless development, event-driven workloads, and quick deployments.

98%

of users deploy an application on their first try in < 5 mins

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What should I choose?

Choose GKE if you require extensive control over infrastructure and Kubernetes, and if you have specific infrastructure requirements or expertise with Kubernetes. Opt for Cloud Run if you prefer a serverless experience, simplified development, and automatic scaling for stateless applications or event-driven workloads.

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Content at any Scale (CaaS)

Our Content At Any Scale-solution (CaaS) empowers websites to achieve hyper-scale, seamless deployment, and high performance. Combining Content Delivery Network (CDN) and Container Services like GKE and Cloud Run from GCP.

Content at any Scale leverages CDNs for lightning-fast content delivery to global users. CDNs distribute website content to edge locations, minimizing latency and improving user experience.

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