Search Results for "aws-cpp-sdk-s3"
Sort By:
Showing 10 open source projects for "aws-cpp-sdk-s3"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
1
AWS SDK for Java 2.0
The official AWS SDK for Java - Version 2
The AWS SDK for Java v2 is a modern, modular rewrite that reduces dependencies, improves performance, and embraces non-blocking I/O. Each AWS service ships as its own small artifact, so applications include only what they use, cutting footprint and cold-start time. The SDK provides both synchronous clients and a high-performance asynchronous stack built on event-driven HTTP, enabling reactive pipelines and high-throughput services. -
2
AWS CloudTrail Processing Library
Helps Java developers to easily consume and process log files from AWS
The AWS CloudTrail Processing Library is a Java client library that makes it easy to build an application that reads and processes CloudTrail log files in a fault-tolerant and highly scalable manner. The AWS CloudTrail Processing Library helps Java developers to easily consume and process log files from AWS CloudTrail. Provides functionality to continuously download CloudTrail log files in a fault-tolerant and scalable manner. -
3
Free Templates for AWS CloudFormation
Free templates for AWS CloudFormation
...Do you want to accelerate your start with AWS CloudFormation and our templates? We do offer remote and on-site training for you and your team. All templates are published under Apache License Version 2.0. Besides our open-source projects, we also offer commercial products on the AWS Marketplace. -
4
Azure SDK for Java
Active development of the Azure SDK for Java
This repository is for the active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. To get started with a specific service library, see the README.md file located in the library's project folder. You can find service libraries in the /SDK directory. For a list of all the services, we support to access to our list of all existing libraries. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
Amazon Neptune Sparql Java Sigv4
A SPARQL client for Amazon Neptune that includes AWS Signature
A SPARQL client for Amazon Neptune that includes AWS Signature Version 4 signing. Implemented as an RDF4J repository. SPARQL client for Amazon Neptune that includes AWS Signature Version 4 signing. Implemented as an RDF4J repository and Jena HTTP Client. -
6
Amazon Neptune Gremlin Java Sigv4
A Gremlin client for Amazon Neptune that includes AWS Signature
An extension to GremlinDriver with a custom channelizer that enables AWS Signature Version 4 signed requests to Amazon Neptune. This series uses TinkerPop 3.3.x client. Note that active maintenance on TinkerPop 3.3.x has stopped and hence, this version is not recommended. This series uses TinkerPop 3.4.x client. This major version tracks the latest stable release for this package. Note that a minor version (y in 2.x.y) is bumped whenever a new version of Apache TinkerPop is added as a dependency or a major feature is introduced. ... -
7
react-native-fcm
react native module for firebase cloud messaging
React native module for firebase cloud messaging and local notification. react-native-firebase now can do what react-native-fcm can so it is a waste of effort to build the same thing in parallel. To allow android to respond to click_action, you need to define Activities and filter on specific intent. Since all javascript is running in MainActivity, you can have MainActivity to handle actions. If you are using RN < 0.30.0 and react-native-fcm < 1.0.16, pass intent into package, edit... -
8
StrongKey CryptoCabinet
FIDO-enabled, cloud file encryption with centralized key management.
StrongKey CryptoCabinet (SKCC) 2.0 is a FIDO-enabled (fidoalliance.org) web application built using Regulatory Compliant Cloud Computing (RC3) architecture (http://bit.ly/rc3infoq). It encrypts files/objects of any type or size, and stores the ciphertext either to public/private clouds—AWS, Azure, Eucalyptus—or local/network drives, while keeping cryptographic keys safe and secure OUTSIDE the cloud. CryptoCabinet leverages the StrongKey CryptoEngine (SKCE)—another FOSS on this site—to perform FIDO U2F strong authentication, encryption/decryption, digital signatures, and cloud integration. CryptoCabinet is a powerful example showcasing StrongKey CryptoEngine's innovative capabilities. ... -
9
Ice AWS
AWS Usage Tool
...The ability to trend usage patterns on a global scale, yet decompose them down to a region, availability zone, or service team provides incredible flexibility. Ice allows us to quantify our AWS footprint and to make educated decisions regarding reservation purchases and reallocation of resources. Ice is a Grails project. It consists of three parts: processor, reader, and UI. The processor processes the Amazon detailed billing file into data readable by the reader. The reader reads data generated by the processor and renders them to UI. ... -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
10
Seldon Server
Machine learning platform and recommendation engine on Kubernetes
...It provides an open-source data science stack that runs within a Kubernetes Cluster. You can use Seldon to deploy machine learning and deep learning models into production on-premise or in the cloud (e.g. GCP, AWS, Azure).
- Previous
- You're on page 1
- Next