Cloud Run is Google’s next generation of serverless, with AppEngine remaining to help those who have previously committed to it.
Cloud Run has several advantages –
— Cloud run enables you to deploy a service to any area
inside a single project, making your API truly global.
— Cloud Run also lets you configure a static IP address,
while AppEngine does not. This is useful when you need to relay mail or connect
to a service that restricts access based on IP address.
— Cloud Run’s docker image support is also more
configurable than AppEngine standard, and Cloud Run offers more robust choices
(additional ram, etc.).
— Cloud Run is utilised for scaling out a single container
several times, which is typically used for microservices, APIs, and frontend
UIs that are wrapped within containers.
Here are key features and concepts of Google Cloud Run:
Containerized Applications: Google Cloud Run supports
containerized applications, allowing you to use Docker containers to package
and deploy your applications.
Serverless Platform: Cloud Run follows a serverless
computing model, where developers focus on writing code and deploying
containers without dealing with the underlying infrastructure. It automatically
scales based on the incoming request traffic.
Scaling: Cloud Run can scale from zero to
handle any number of requests. It automatically provisions and scales container
instances based on demand.
HTTP(S) Request Handling: Cloud Run is primarily
designed for handling HTTP(S) requests, making it suitable for web services,
APIs, and microservices.
Event-Driven Architecture: In addition to handling HTTP
requests, Cloud Run can be triggered by events from various sources, such as
Cloud Storage changes, Pub/Sub messages, and more.
Integration with GCP Services: Cloud Run seamlessly integrates
with other Google Cloud services, enabling you to build end-to-end solutions.
It can be used in conjunction with Cloud Storage, Cloud Pub/Sub, Cloud SQL, and
other GCP services.
Build and Deploy from Container
Registry: You can
build your container image and deploy it directly from Container Registry,
Google Cloud’s container image registry.
Environment Variables and Secrets: Cloud Run allows you to
configure environment variables and manage secrets securely. This is useful for
configuring your application and handling sensitive information.
Managed TLS Certificates: Cloud Run provides managed TLS
certificates, enabling secure communication over HTTPS without the need for
manual certificate management.
Multi-Region Deployment: You can deploy Cloud Run
services to multiple regions, allowing you to serve content closer to your
users.
Cost Model: Google Cloud Run follows a
pay-as-you-go model based on the number of vCPU-seconds and GB-seconds consumed
during request processing.
Google
Cloud Run provides a flexible and cost-effective solution for deploying and
managing containerized applications. It allows developers to focus on building
features and applications while abstracting away the complexities of
infrastructure management.
Cloud Run is significantly more user-friendly, especially
when it comes to deployment and development iterations. You may specify a
minimum number of instances to aid with cold boot and vertically scale the
instances you do have. Running your own instance is undoubtedly the lowest
choice in terms of CPU time expenditures, but I would advise you to consider
man hours as well when deciding between serverless and self-managed.
Ease of Deployment and Development Iterations: Google
Cloud Run is praised for its simplicity and ease of use. The deployment process
is streamlined, and developers can iterate on their applications quickly. This
ease of deployment and iteration is a significant advantage for projects with
dynamic development requirements.
Minimum Number of Instances and Cold
Boot: Cloud Run
allows you to set a minimum number of instances, which can be beneficial for
addressing cold start latency. This ensures that there are pre-warmed instances
ready to handle incoming requests, reducing the impact of cold starts on
application responsiveness.
Vertical Scaling: Cloud Run’s ability to
vertically scale instances based on demand is valuable. It ensures that
resources are allocated efficiently, and the platform can handle varying
workloads effectively.
Cost Considerations: While running your own instances
may be the cheapest option in terms of raw CPU time costs, it’s crucial to
factor in other costs, including development time and operational overhead.
Serverless solutions often abstract away infrastructure management complexities,
saving time and effort.
Man Hours and Development
Efficiency: Considering
man hours is a wise approach. The ease of use and reduced operational burden
with serverless platforms can contribute to higher development efficiency and
faster time-to-market. This becomes particularly relevant when balancing the
costs associated with managing your own infrastructure.
Recommendation- We
often recommend Serverless (Cloud Run, App Engine) over computational Engine,
especially if you are unfamiliar with and are unwilling to figure out how much
computational capacity you require.
Cloud Run is newer and offers some additional capabilities,
such as concurrency (a single instance may handle several simultaneous
requests), but both should function properly. Cloud Run goes the distance and
provides an exceptional service. It may take you an hour to construct a decent
and optimized Dockerfile, but everything else will be a breeze after that.
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