Is there any C++ library/client to connect with the memcached instance created within Google Cloud Platform?
Is there any example how to configure and use Google Cloud Memcache instance in C++ application?
I found libmemcached, but I havn't found a confirmation, that it is for GCP too and how to configure it for GCP.
Related
My application deployed to our private server and I want to use some service from GCP like Bucket and Secret manager.
Suppose my application deployed in internal server and my applicate use GCP services. Is it possible or we should deploy our app to GCP also. My application is in JSP.
How to do this. Which is best practice for this.
You have more than one option. You can use Cloud VPN, as it securely connects your peer network to your Virtual Private Cloud (VPC) network through an IPsec VPN connection. Follow this GCP’s official documentation to set it up.
Another option is Google Cloud Hybrid Connectivity focused on Cloud Interconnect as it allows you to connect your infrastructure to Google Cloud. Visit the following link for the best practices and the set up guide.
Finally, see the following thread for more reference on your connection requirement.
I'd like to add cache to my Django app hosting on Cloud Run.
From Django official docs, we can connect Django to a memory-based cache. Since I'm using Cloud Run, the memory get cleaned.
Memotystore seems good for this purpose, but there's only tutorial for flask and redis.
How could I achieve this?
Or should I just use a database caching?
Connect Redis instance to Cloud Run service using the steps in
documentation.
To connect from Cloud Run (fully managed) to Memorystore you need to
use the mechanism called "Serverless VPC Access" or a "VPC
Connector"
First, you have to create a Serverless VPC Access Connector
and then configure Cloud Run to use this connector
See connecting to a VPC Network for more information.
Alternatives to using this include:
Use Cloud Run for Anthos, where GKE provides the capability to
connect to Memorystore if the cluster is configured for it.
Stay within fully managed Serverless but use a GA version of the
Serverless VPC Access feature by using App Engine with Memorystore.
See this answer to connect to Memorystore from Cloud Run using an SSH
tunnel via GCE.
Is there a way to connect Google Cloud Run with a service running in a Compute Engine instance in an specific port?
With Google Cloud Run I want to run a WebApp that needs to connect with a service running in Compute Engine or Google Kubernetes Engine. It's that possible?
Thanks in advance!
Yep, this is possible. You need to create a VPC Serverless connector and use it to connect to the internal IPs of the VMs in GCE or any resource in the VPC.
This question already has answers here:
How to securely connect to Cloud SQL from Cloud Run?
(3 answers)
Closed 3 years ago.
I have a Google Cloud Run docker image and would like to connect to a Cloud SQL instance. The instance has a private IP, but I don't seem to be able to use that.
Is this scenario supported for Cloud Run, and how do I connect ?
From "Connecting to GCP services":
The following table lists services that are not yet supported by Cloud Run (however, they are supported by Cloud Run on GKE):
Cloud SQL
Cloud Endpoints
Virtual Private Cloud
Cloud Memorystore
Cloud Load Balancing
Cloud Filestore
Most of these are due to Cloud Run currently lacking a VPC connector, however this is in progress and will eventually be available.
Is it possible to connect via an Amazon Java Web Project (AWS EC2) to an Google Cloud SQL?
You can get a public IP address for your Google Cloud SQL instance, and that should allow you to connect from EC2. Although the latency might be unacceptable depending on the distance between the client and the database.