AWS EFS is a managed shared storage solution in the cloud that is compatible with NFS. In our three-tier architecture, it sits in the data layer and provides shared storage for the application tier servers. - Source: dev.to / 10 months ago
But that didn't work quite so well. Between some issues with the packages, and the amount of time it took to unzip... It just wasn't worth it. So I refactored back into using EFS to host the packages and model files. - Source: dev.to / 10 months ago
AWS EFS is a fully managed, highly scalable shared storage solution in the cloud. It is NFS compatible. This Elastic filesystem will provide shared storage for all our application tier servers. Since it provides storage, EFS sits in the data layer of the three tier architecture. - Source: dev.to / 11 months ago
Amazon Elastic File System (EFS) is a managed Network File System (NFS) designed for Linux-based EC2 instances, selected AWS managed services, and on-premise servers. There’s a similar storage system for Windows hosts called the Amazon FSx for Windows File Server. FSx uses the Server Message Block (SMB) protocol while EFS uses NFS. - Source: dev.to / about 1 year ago
Amazon EFS, Amazon RDS Proxy, Amazon Aurora Serverless, Amazon Redshift Serverless, Amazon Neptune Serverless This is my serverless database catch-all section. In my opinion, S3 and DynamoDB are really the storage solutions you need for serverless development, however, you may find some use cases for these remaining serverless storage options. EFS is the Elastic File System, which automagically sizes for the... - Source: dev.to / about 1 year ago
Amazon EFS (storage) Amazon Elastic File System is a file storage service for EC2 instances. Amazon EFS provides an interface that you can use to create and configure file systems. Amazon EFS storage capacity grows and shrinks automatically as you add and remove files. Https://aws.amazon.com/efs/. - Source: dev.to / over 1 year ago
We don't support it (yet) with AppPack, but you could use EFS to store the database. In my experience it is horribly slow for small SQLite files. Source: over 1 year ago
AWS Services: EFS, S3, Lambda and how to optimize costs for these usages. - Source: dev.to / over 1 year ago
Apache APISIX has to persist etcd state and mount external configuration files like /apisix_conf/conf.yaml (defines the configs for apisix) in the repo folder onto the containers. You can store persistent data outside of the container-filesystem in Amazon Elastic File System. ECS integration supports volume management based on Amazon EFS. In the compose file to we declare volumes for existing file system where we... - Source: dev.to / almost 2 years ago
Depending on the requirements and constraints, I like to use Amazon EFS integration with AWS Lambda in such situations. Amazon EFS allows me to have a storage layer shared by all AWS Lambda functions that partake in the workflow. Let us look into that next. - Source: dev.to / about 2 years ago
The last thing is that if you are sure that you really want a distributed file store, rather than a distributed object store, that exists too: EFS is elastic File Store: https://aws.amazon.com/efs/ . Source: about 2 years ago
One alternative is to use Amazon EFS, a fully managed, flexible, shared file system designed to be consumed by other AWS services. It was announced on Jun 16, 2020. AWS Lambda will automatically mount the file system and provide a local path to read and write data. If you want to read more, there is an excellent article here. - Source: dev.to / about 2 years ago
You could probably mount an EFS (elastic file store) to your containers and/or instances. However, it's pretty common to precompile assets on CI/CD as part of the build process and at that stage, you wouldn't have access to EFS. So, I wouldn't say it's easier or better than uploading assets to S3 at build time. Uploading to S3 is persisting files between deploys :). Source: about 2 years ago
Event store can be deployed as a managed instance via Event Store Cloud which will take care of availability, clustering and other candies. The only drawback is the high cost of the hosting resources plus a separate cost (also high IMO 😛) for support. Here we won't take any fancy shortcuts with managed clouds and do it on our own in AWS using infrastructure as code with CDK in Typescript. We will have one event... - Source: dev.to / about 2 years ago
1) The client and server are currently located in the same repo but I'm planning to make it so that you can run them separately. This will let you do things like write a new frontend for an existing deployed Hathora backend which you don't even own (as long as you have the hathora.yml definition for it). 2) There is a managed cloud coordinator (load balancer) which Hathora apps connect to by default, so you don't... - Source: Hacker News / about 2 years ago
AWS added the possibility to attach Elastic File System (EFS) disks to Lambda functions. That opened some new possibilities and use cases. About a month ago, I used EFS with Step Functions to build an ETL process that feeds our data lake. It was a bit of fun and challenge at the same time, so I decided I will share my experience and solution with you. - Source: dev.to / over 2 years ago
On AWS you could try their managed NFS: Https://aws.amazon.com/efs/. Source: over 2 years ago
I'm using Kubernetes in EKS on AWS. Now want to deploy an application AWX on it. For storage, I deployed EFS and created a CSI driver. Source: over 2 years ago
AWS DataSync is a data transfer service that simplifies, automates, and accelerates moving and replicating data between on-premises storage and AWS storage services such as Amazon Elastic File System (EFS) and Amazon S3. - Source: dev.to / over 2 years ago
Amazon Elastic File System (Amazon EFS) provides a simple, serverless, set-and-forget, elastic file system that lets you share file data without provisioning or managing storage. 1. - Source: dev.to / almost 3 years ago
AWS Lambda supports using docker containers, this allows us to run the Lambda locally for development and testing. The script is packaged into the docker container with the Google News Vectors as this makes it accessible at runtime without requiring downloading from S3 or EFS. The Lambda required 1.5GB memory to run the model. - Source: dev.to / almost 3 years ago
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