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.
This tool is highly recommended for developers looking to create enterprise-grade chatbots, especially those already using Microsoft's cloud infrastructure (Azure). It's also suitable for teams seeking to integrate AI and natural language processing capabilities into their bots with relative ease.
Based on our record, Amazon S3 seems to be a lot more popular than Microsoft Bot Framework. While we know about 198 links to Amazon S3, we've tracked only 5 mentions of Microsoft Bot Framework. 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.
Takeaway: S3 is feature-rich and great for complex workflows. Cloud Storage is simpler and faster for global access. Explore S3 documentation. - Source: dev.to / 9 days ago
To address this, the team introduced a conditional frontend build mechanism. Using git diff with the three-dot notation, it detects whether a PR includes frontend changes compared to the main branch. If no changes are detected, the frontend build step is skipped, reusing a prebuilt version stored in AWS S3 and served via an internal Content Delivery Network (CDN). - Source: dev.to / about 1 month ago
In this article, we present an architecture that demonstrates how to collect application logs from Amazon Elastic Kubernetes Service (Amazon EKS) via Vector, store them in Amazon Simple Storage Service (Amazon S3) for long-term retention, and finally query these logs using AWS Glue and Amazon Athena. - Source: dev.to / about 1 month ago
Iceberg has quietly become the foundation of the modern data lakehouse. More and more engineering teams are adopting it to store and manage analytical data in cloud storage — like Amazon S3, Google Cloud Storage, or Azure Data Lake Storage — while freeing themselves from the limitations of closed systems. - Source: dev.to / about 2 months ago
AWS Lambda is perfect for applications that process images due to its integration with AWS S3, an object storage service. A good example is an e-commerce application that renders images in different sizes. Here are the top features:. - Source: dev.to / 2 months ago
Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / about 2 years ago
I have developed MS Teams Message Extension using Java[Spring Boot] and registered the bot in Botframework Development portal[https://dev.botframework.com/]. It is working fine in local. I tested in local environment using a tunneling application named localtunnel. I tested the extension in MS Teams. Source: about 3 years ago
Maybe this will fit your needs? Microsoft Bot Framework - https://dev.botframework.com/. Source: over 3 years ago
This library (also Node.Js) lets you connect to The Microsoft Bot Framework. Source: over 3 years ago
Besides building informational chatbots using QnA Maker, Azure also provides a larger Bot Service for developing more sophisticated chatbots. Transactional chatbots perform operations such as accessing and modifying internal IT documents and databases and dynamic and context aware chatbots can be used as virtual assistants. Bot Framework is an SDK that lets developers create these kinds of chatbots using their... - Source: dev.to / almost 4 years ago
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
Botpress - Open-source platform for developers to build high-quality digital assistants
Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
Dialogflow - Conversational UX Platform. (ex API.ai)
AWS Lambda - Automatic, event-driven compute service
Amazon Lex - Harness the power behind Amazon Alexa for your own conversational apps.