nodejs-storage
berglas
nodejs-storage | berglas | |
---|---|---|
20 | 37 | |
879 | 1,224 | |
0.6% | 0.1% | |
8.6 | 6.9 | |
8 days ago | 3 days ago | |
TypeScript | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nodejs-storage
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How to deploy a Django app to Google Cloud Run using Terraform
Cloud Storage: blog storage for static assets and media files
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How to Get Preview Environments for Every Pull Request
Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here.
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How to Choose the Right MQTT Data Storage for Your Next Project
Google Cloud Storage{:target="_blank"} is a globally distributed object storage service offered by Google Cloud Platform. They provide trustworthy and scalable databases for storing large amounts of blob data. They also provide a way to optimize cost and performance with different storage classes and pricing options.
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Where to host static websites
Google Cloud Storage - https://cloud.google.com/storage/
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The Ultimate Guide to Tech Stack for Indie Hackers in 2023
Also, in terms of packing a pre-trained model you will probably want to puts weights, biases etc into S3 or similar object storage (https://cloud.google.com/storage etc) and load it on application start
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How to build a data pipeline using Delta Lake
An object storage system (e.g. Amazon S3, Azure Blob Storage, Google Cloud Platform Cloud Storage, etc.) makes it easy and simple to save large amounts of historical data and retrieve it for future use.
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Creating a SQL generator app with ChatGPT, PostgreSQL, and ToolJet
ToolJet allows you to build applications that use relational and non-relational databases, REST APIs, and cloud storage like Google Cloud Storage, AWS S3, and Minio. It is an excellent development tool helping individuals, developers, and businesses create and ship products faster.
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The best hosting options for your static site (for 2023)
Google Cloud Storage is a flexible, scalable, and cost-effective option for hosting a static website. It offers features like custom domains and SSL certificates, and it's easy to use. However, it can be more expensive than some other options for high-traffic websites.
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Data as a service architecture question
There are a few ways to handle this depending on your client's preferences. If your client still wants to own the data, we support exporting to Object Storage systems like S3, GCS, R2, etc. This will keep the data out of their production systems but allow them to query it on demand.
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How to build your own data platform.
Of course, the storage layer is the place where the data is stored. Because the amount of data to be stored is huge, we can not use HDD or SSD data storages, we need something cheaper. In this case we will be talking about AWS S3 because we are working with Amazon Web Services. For Azure, you could use Azure Data Lake Storage Gen2. If you are working with Google Cloud, you could use Google Cloud Storage. It does not matter what storage you use as long as it is cheap and can store a huge amount of data.
berglas
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How to deploy a Django app to Google Cloud Run using Terraform
Secret Manager: secure storage for sensitive data e.g passwords.
- How do you handle sensitive variables with a service-worker?
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Increasing Your Cloud Function Development Velocity Using Dynamically Loading Python Classes
Google Secret Manager
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Getting started using Google APIs: API Keys (Part 2)
API keys are easy to "leak" or compromise, so best to not only use the restrictions presented to you when you create them but physically protect them as well. Don't code them in plain-text, don't check them into GitHub, etc. Store them in a secure database or use a service like GCP Secret Manager.
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Need some advice on API key storage
I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights.
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Secure GitHub Actions by pull_request_target
In this post, I described how to build secure GitHub Actions workflows by pull_request_target event instead of pull_request event. Using pull_request_target, you can prevent malicious codes from being executed in CI. And by managing secrets in secrets management services such as AWS Secrets Manager and Google Secret Manager and access them via OIDC, you can restrict the access to secrets securely. To migrate pull_request to pull_request_target, several modifications are needed. And pull_request_target has a drawback that it's difficult to test changes of workflows, so it's good to introduce pull_request_target to repositories that require strong permissions in CI. For example, a Terraform Monorepo tends to require strong permissions for CI, so it's good to introduce pull_request_target to it.
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Need Help with Deploying Directus on Google Cloud Platform (GCP)
If you want to make these secrets more secure and get versioning and access logs for them, you may want to switch to Secret Manager later on. They can still be exposed as environment variables to your code. It's a little more setup work, so start with the simple approach at the top.
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Has anyone been able to implement the OpenAI API with a Firebase Function (which is needed for the env variable API Key)?
https://cloud.google.com/secret-manager https://aws.amazon.com/secrets-manager/
- Securely storing Social Security Numbers with Firebase?
- Dónde van las credenciales cuando voy a subir un código a la nube para correr 24/7?
What are some alternatives?
nodejs-pubsub - Node.js client for Google Cloud Pub/Sub: Ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics.
kubernetes-external-secrets - Integrate external secret management systems with Kubernetes
azure-storage - Azure Storage module for Nest framework (node.js) ☁️
helm-charts
google-cloud-ops-agents-ansible - Ansible Role for Google Cloud Ops
kube-secrets-init - Kubernetes mutating webhook for `secrets-init` injection
amplify-js - A declarative JavaScript library for application development using cloud services.
gitleaks - Protect and discover secrets using Gitleaks 🔑
kubernetes - Production-Grade Container Scheduling and Management
cocert - Split and distribute your private keys securely amongst untrusted network
Neo4j - Graphs for Everyone
secrets-store-csi-driver-provider-gcp - Google Secret Manager provider for the Secret Store CSI Driver.