Amazon S3
AWS Lambda
Amazon CloudFront
Google Cloud Storage
Amazon EC2
DynamoDB
Google App Engine
Amazon AWS
Parse-Server
Firebase
Marvel
Moovweb Platform
Gihosoft Free Android Recovery
Back4App
CodePush
Parse
Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
Amazon S3Parse-Server is recommended for startups, small to medium enterprises, and individual developers seeking a cost-effective backend solution with full control over their infrastructure. It's also ideal for projects that require rapid prototyping and deployment, app developers who need pre-built SDKs, and teams looking to migrate away from Parse's legacy hosted services.
No Parse-Server videos yet. You could help us improve this page by suggesting one.
Based on our record, Amazon S3 seems to be a lot more popular than Parse-Server. While we know about 214 links to Amazon S3, we've tracked only 6 mentions of Parse-Server. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
TLS at the API boundary encrypts the payload in transit, but your application is responsible for what happens to the document after the response arrives. If you're writing the rendered PDF to disk, a message queue, or cloud storage, that persistence layer needs its own encryption at rest. An unencrypted file sitting in an Amazon S3 bucket with overly permissive ACLs falls outside what the API provider's TLS covers. - Source: dev.to / about 1 month ago
SAM CLI generates the SAMCodeUriServices mapping so that each collection value resolves to its own build artifact. At package time, those paths become Amazon S3 URIs. I don't need to manage any of this. - Source: dev.to / about 2 months ago
Fine-tuning adapts an FM to a specific use case with proprietary training data. Titan, Cohere, and Meta models support fine-tuning via Amazon Bedrock. Text models need labelled prompt-completion pairs; image models need Amazon Simple Storage Service (Amazon S3) paths linked to descriptions. Secure training data with Amazon Virtual Private Cloud (Amazon VPC) + AWS PrivateLink. - Source: dev.to / 2 months ago
You need to understand vector stores for semantic and hybrid search using Amazon OpenSearch Service and Amazon Simple Storage Service (Amazon S3). Prompt caching helps reduce costs by reusing previously processed prompts. Amazon Bedrock Prompt Management simplifies the creation, evaluation, versioning, and sharing of prompts to help you get the best responses from foundation models. Flow orchestration with Amazon... - Source: dev.to / 3 months ago
All fine-tuning used Amazon SageMaker Training Jobs โ no instance provisioning, no SSH, no manual teardown. You provide a training script and an S3 dataset path, specify the instance type, and SageMaker handles the rest. - Source: dev.to / 4 months ago
If youโre coming from the Parse ecosystem, it may help to know that Parse itself is a long-running open source backend framework. You can start from the official Parse Platform site, or go deeper with the communityโs Parse Server repository. Our own developer docs are organized around that reality. If you want implementation-level guides, start with our SashiDo Documentation. - Source: dev.to / 4 months ago
If you like headless CMS / Backend As A Service you should consider https://directus.io/ or https://github.com/parse-community/parse-server. Both nodejs and open source. Source: about 4 years ago
There's numerous standard backends which frontenders could use in simplistic cases to start, say https://github.com/PostgREST/postgrest or https://github.com/parse-community/parse-server. Source: over 4 years ago
Parse is still around and supported: https://github.com/parse-community/parse-server. - Source: Hacker News / over 4 years ago
I am curious what backend framework you would choose to run with for prototyping an application with run of the mill user management requirements. That is functionality along the lines of: session management, password policies, password reset, user verifications, etc. Sadly it seems there really aren't any frameworks that have user management natively supported. The only one I am aware of is [Parse... - Source: Hacker News / about 5 years ago
AWS Lambda - Automatic, event-driven compute service
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Amazon CloudFront - Amazon CloudFront is a content delivery web service.
Marvel - Turn sketches, mockups and designs into web, iPhone, iOS, Android and Apple Watch app prototypes.
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
Moovweb Platform - Other Mobile Development