I created an instance on GCP, but I am not able to access it.
This is similar to this one, but the proposed solution isn't working for me:
Unable to telnet to GCP MemoryStore
I have tried to telnet to it, I am in the same project and region, but apparently I need to be in the same network as it's a private ip, but what if you want to connect using the cloud shell? Also, how would an application running on my local machine access it?
I also included a firewall rule to make sure incoming connections are allowed.
To connect a client to a Cloud Memorystore for Redis instance, the client and the instance must be located in the same region, in same project and in the same VPC network. Please check the “Networking” document where you’ll have information on Basic network settings, limited and unsupported networks, network peering, IP address range.
You can connect to Redis from different GCP products like Compute Engine VM, Google Kubernetes Engine Cluster or Google Kubernetes Engine pod, but you can’t connect directly from the Cloud shell or from your local machine since they are not in your VPC network.
It may also have to do with a missing peering connection to your network. Check in your console at https://console.cloud.google.com/networking/peering/ to see if the peering is set up properly.
Using terraform you can use the following docs: https://www.terraform.io/docs/providers/google/r/redis_instance.html
Related
I have a redis instance on AWS that I want to connect using Redis Desktop Manager from my local machine
I am able to ssh into my ec2 instace and then run redis-cli -h host and connect to it.
But the same is not possible from my local machine.
I am sure there must be a way to monitor my redis using the GUI, and I think if I can connect to the ec2 using pem file and I can connect to redis from insde there, must be a way to combine both? And connect to the redis instance locally via my ec2 instace? Any ideas?
By design AWS EC domain is deployed for use only within AWS. From docs:
Elasticache is a service designed to be used internally to your VPC. External access is discouraged due to the latency of Internet traffic and security concerns. However, if external access to Elasticache is required for test or development purposes, it can be done through a VPN.
Thus, it can't be accessed directly from outside of your VPC. For this, you need to setup a VPN between your local home/work network and your VPC, or what is often easier to do for testing and development, establish a ssh tunnel.
For the ssh tunnel you will need a public proxy/bastion EC2 instance through which the tunnel will be established. There are number tutorials on how to do it for different AWS services. General procedures are same, whether this is ES, EC, Aurora Serverless or RDS Proxy. Some examples:
SSH Tunnels (How to Access AWS RDS Locally Without Exposing it to Internet)
How can I use an SSH tunnel to access Kibana from outside of a VPC with Amazon Cognito authentication?
As #Marcin mentioned, AWS recommends only using Elasticache within your VPC for latency reasons, but you've got to develop on it some how... (Please be sure to read #Marcin's answer)
AWS is a huge mystery, and it's hard to find beginner-intermediate resources, so I'll expand upon #Marcin's answer a little for those that might stumble across this.
It's pretty simple to set up what's often referred to as a "jump box" to connect to all sorts of AWS resources - this is just any EC2 instance that's within the same VPC (network) as the resource you're trying to connect to - in this case the Elasticache redis cluster. (If you're running into trouble, just spin up a new instance - t4g.nano or something super small works just fine.)
You'll want to make sure you're in the directory with your key, but then should be able to run the following command to link whatever port you'd like to use to the remote redis cluster:
ssh -i ${your_ssh_key_name.pem} ${accessible_ec2_host} -L ${port_to_use_locally}:${inaccessable_redis_or_other_host}:${inaccessable_redis_port}
Then you can use localhost and ${port_to_use_locally} to connect to redis
Assuming I have a custom VPC with IP ranges 10.148.0.0/20
This custom VPC has firewall rules to allow-internal so the service inside those IP ranges can communicate to each other.
After the system grows I need to connect to some on-premises network by using Classic Cloud VPN, already create Cloud VPN (the on-premises side configuration already configured by someone) and the VPN Tunnel already established (with green checkmarks).
I also can ping to on-premises IP right now (let's say ping to 10.xxx.xxx.xxx where this is not GCP internal/private IP but on-premises private IP) using compute engine created on custom VPC network.
The problem is all the compute engine instance spawn in custom VPC network can't communicate to the internet now (like doing sudo apt update) or even communicate to google cloud storage (using gsutil), but they can communicate using private IP.
I also can't spawn dataproc cluster on that custom VPC (I guess because it can't connect to GCS, since dataproc needs GCS for staging buckets).
Since I do not really know about networking stuff and relatively new to GCP, how to be able to connect to the internet on instances that I created inside custom VPC?
After checking more in-depth about my custom VPC and Cloud VPN I realize there's misconfiguration when I establish the Cloud VPN, I've chosen route-based in routing option and input 0.0.0.0/0 in Remote network IP ranges. I guess this routes sending all traffic to VPN as #John Hanley said.
Solved it by using policy-based in routing option and only add specific IP in Remote network IP ranges.
Thank you #John Hanley and
#guillaume blaquiere for pointing this out
I have a service which runs on Cloud Run, and a MYSQL, MongoDB databases on Compute Engine. Currently, I'm using public IP for connect between them, I want to use internal IP for improving performance, but i cant find solution for this problem, Please help me some ideas, Thanks.
Now is supported. You can use VPC network connector (Beta):
This feature is in a pre-release state and might change or have
limited support. For more information, see the product launch stages.
This page shows how to use Serverless VPC Access to connect a Cloud
Run (fully managed) service directly to your VPC network, allowing
access to Compute Engine VM instances, Memorystore instances, and any
other resources with an internal IP address.
To use Serverless VPC Access in a Cloud Run (fully managed) service,
you first need to create a Serverless VPC Access connector to handle
communication to your VPC network. After you create the connector, you
set your Cloud Run (fully managed) service configuration to use that
connector.
Here how to create: Creating a Serverless VPC Access connector and here an overview about it: Serverless VPC Access example
According to official documentation Connecting to instances using advanced methods
If you have an isolated instance that doesn't have an external IP
address (such as an instance that is intentionally isolated from
external networks), you can still connect to it by using its internal
IP address on a Google Cloud Virtual Private Cloud (VPC) network
However, if you check the services not yet supported for Cloud Run, you will find:
Virtual Private Cloud Cloud Run (fully managed) cannot connect to VPC
network.
Services not yet supported
You can now do that by running this command upon deployment:
gcloud run deploy SERVICE --image gcr.io/PROJECT_ID/IMAGE --vpc-connector CONNECTOR_NAME
If you already have a Cloud Run deployment, you can update it by running the command:
cloud run services update SERVICE --vpc-connector CONNECTOR_NAME
More information about that here
Connecting from Cloud Run Managed to VPC private addresses is not yet supported.
This feature is in development and is called Serverless VPC Access. You can read more here.
If you have a Compute Engine instance running in the same VPC with a public IP address, you can create an SSH tunnel to connect to private IP addresses through the public instance. This requires creating the tunnel in your own code, which is easy to do.
Before moving to Amazon Web Services, I was using Google Cloud Platform to develop my aplication, CloudSQL to be specific, and GCP have something called Cloud SQL Proxy that allows me to connect to my CloudSQL instance using my computer, instead of having to deploy my code to the server and then test it. How can I make the same thing using AWS?
I have a python environment on Elastic Beanstalk, that uses Amazon RDS.
AWS is deny be default so you cannot access an RDS instance outside of the VPC that your application is running in. With that being said... you can connect to the RDS instance via a VPN that can be stood up in EC2 that has rules open to the RDS instance. This would allow you to connect to the VPN on whatever developer machine and then access the RDS instance as if your dev box was in the VPC. This is my preferred method because it is more secure. Only those with access to the VPN have access to the RDS instance. This has worked well for me in a production sense.
The VPN provider that I use is https://aws.amazon.com/marketplace/pp/OpenVPN-Inc-OpenVPN-Access-Server/B00MI40CAE
Alternatively you could open up a hole in your VPC to the RDS instance and make it publicly available. I don't recommend this however because it will leave your RDS instance open to attack as it is publicly exposed.
You can expose your AWS RDS to the internet by proper VPC setting, I did it before.
But it has some risks
So usually you can use those ways to figure it out:
Create a local database server and restore snapshot from your AWS RDS
or use VPN to connect to your private subnet which hold your RDS
A couple people have suggested putting your RDS instance in a public subnet, and allowing access from the internet.
This is generally considered to be a bad idea, and should be the last resort.
So you have a couple of options for getting access to RDS in a private subnet.
The first option is to set up networking between your local network and your AWS VPC. You can do this with Direct Connect, or with a point-point VPN. But based on your question, this isn't something you feel comfortable with.
The second option is to set up a bastion server in the public subnet, and use ssh port forwarding to get local access to the RDS over the SSH tunnel.
You don't say if you on linux or Windows, but this can be accomplished on either OS.
What I did to solve was:
Go to Elastic Beanstalk console
Chose you aplication
Go to Configurations
Click on the endpoint of your database in Databases
Click on the identifier of your DB Instance
In security group rules click in the security groups
Click in the inbound tab
Click edit
Change type to All Traffic and source to Anywhere
Save
This way you can expose the RDS connected to your Elastic Beanstalk aplication to the internet, which is not recommended as people sugested, but it is what I was looking for.
I have created an instance of the Memory store in my project but I am unable to telnet / connect to it, either from my local or the Google Cloud Shell. Searching online, I see that other people have been granted the same host IP as mine so I am a little confused (10.0.0.3). Some assistance on how to proceed here would be great. Do I have to expose something here?
I have completed the following:
Recreated my VM on the same region as the memory store
Created a new instance of the memory store (gave me a new IP) but I am still unable to telnet
You can connect to Cloud MemoryStore provided that you are in the same project, region and network. If any of these are different you will not be able to connect.
The IP address 10.0.0.3 is an RFC 1918 private address. This is why you must be in the same network to be able to connect. Also you need to enable firewall rules to allow traffic between your instance and Cloud Memorystore.
This link shows you how to connect to Cloud Memorystore from a GCE instance.
Connecting to a Redis Instance