Ch-1. GCP Tech-Stack - Compute services
Ch-1. GCP Tech-Stack - Compute services

Ch-1. GCP Tech-Stack - Compute services

GCP Compute Options are:

  1. Compute Engine - Compute engine is an unmanaged compute service offered by Google Cloud. It is an?IaaS?(Infrastructure As A Service) service that provides virtual machines hosted on Google’s infrastructure.
  2. App Engine - The App Engine is a PaaS (Platform As A Service) offering of Google Cloud used for building scalable web applications and IoT backends. It scales applications automatically based on the traffic received. It facilitates users with built-in services and APIs, for example, Datastores, NoSQL, user authentication API, etc.
  3. Kubernetes Engine - Google Kubernetes Engine is an easy-to-use cloud-based Kubernetes service used for running containerized applications. It helps users implement a successful Kubernetes strategy for their applications in the cloud. Kubernetes is an open-source framework for container management and automation based on Google’s actual internal container software.
  4. Cloud Functions - Cloud Functions is a lightweight compute solution for developers for creating single-purpose, stand-alone functions responding to cloud events without the hassle of managing the server or runtime environment. IT works well for applications with bursty or variable traffic patterns as it is highly elastic and has minimal operational overhead because it is a serverless platform
  5. Cloud Run - Cloud Run?is a managed compute platform enabling users to run stateless containers that can be invoked via web requests or Pub/Sub events. Since it is serverless, it abstracts away all infrastructure management allowing users to focus on building great applications. It is built from Knative. It provides many benefits of App Engine with the power of GKE. It can also be run on your own GKE cluster if you want control over the runtime environment.


Kirti Kureel

Data Analytics Solution Engineer @Agilent Technologies | LinkedIn Top Voices | MTech | Google, Microsoft and IBM Certified Data Professional |BI | Mentor| Azure| Power BI| Qliksense| Qlik | Python| R| Agile| Project Mgmt

1 年

Great post with good insights

Pooja Sharma

Enterprise Data Warehousing || Master Data Management || Data Governance || Analytics and Reporting || CSM

1 年

Looking forward to it Swapnil

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