
Amazon S3
AWS Lambda
Google Cloud Storage
Amazon CloudFront
Amazon EC2
Amazon AWS
DynamoDB
Google App Engine
ScheduleReader
FieldFX
Mosaic
myQuorum
Petrel E&P Software Platform
Enertia
Coreworx
Deltek ERP
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.
ScheduleReader displays well formatted and visually understandable schedule information, extracted from XER and XML project schedule files that can be easily customized and organized to meet the end user needs.
Analyse project KPIs, track project progress through rich visual dashboards, create custom and predefined reports with a few simple clicks, and more.
ScheduleReader is compatible with and can be used with Oracle Primavera P6.
Amazon S3
ScheduleReaderBased on our record, Amazon S3 seems to be more popular. It has been mentiond 214 times since March 2021. 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 / 3 months 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 / 3 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 / 4 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 / 4 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 / 5 months ago
AWS Lambda - Automatic, event-driven compute service
FieldFX - Salesforce Customer Secure Login Page. Login to your Salesforce Customer Account.
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
Mosaic - Mosaic provides brands with solutions to store and categorize their digital graphic and photography files for quick and easy retrieval.
Amazon CloudFront - Amazon CloudFront is a content delivery web service.
myQuorum - myQuorum, a program for modeling and simulating chemical reactions, designed to help chemical process engineers and students work on chemical process modeling, simulation and optimization projects within a user-friendly environment.