Dzone - DevOps

JULY 12, 2024

This article describes the implementation of RESTful API on AWS serverless architecture. It provides a detailed overview of the architecture, data flow, and AWS services that can be used. This article also describes the benefits of the serverless architecture over the traditional approach.

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AWS Machine Learning - AI

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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Tenable

FEBRUARY 13, 2024

The good news is that deploying these applications on a serverless architecture can make it easier to protect them. Cloud-native architecture has opened up new avenues for developers, bringing individual components out of monolithic server configurations and making them readily available as consumable services. Here’s why.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

In the context of generative AI , significant progress has been made in developing multimodal embedding models that can embed various data modalities—such as text, image, video, and audio data—into a shared vector space. An Amazon OpenSearch Serverless collection. The GitHub repo cloned to the Amazon SageMaker Studio instance.

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AWS Machine Learning - AI

JANUARY 29, 2025

Amazon Bedrock Custom Model Import enables the import and use of your customized models alongside existing FMs through a single serverless, unified API. This serverless approach eliminates the need for infrastructure management while providing enterprise-grade security and scalability.

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Dzone - DevOps

MARCH 28, 2025

This blog post discusses an end-to-end ML pipeline on AWS SageMaker that leverages serverless computing, event-trigger-based data processing, and external API integrations. The architecture downstream ensures scalability, cost efficiency, and real-time access to applications.

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Dzone - DevOps

APRIL 9, 2025

Amazon Web Services (AWS) provides an expansive suite of tools to help developers build and manage serverless applications with ease. In this article, we delve into serverless AI/ML on AWS, exploring best practices, implementation strategies, and an example to illustrate these concepts in action.

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CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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CIO

APRIL 25, 2025

As data volumes continue to grow, employees and customers are increasingly challenged to find the information they want. [ii] Flexible integration with multiple data types and sources Enterprise data is spread across a multitude of databases, internal applications, and software-as-a-service.

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AWS Machine Learning - AI

MAY 1, 2025

Model Context Protocol (MCP) aims to standardize how these channels, agents, tools, and customer data can be used by agents, as shown in the following figure. We will deep dive into the MCP architecture later in this post.

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AWS Machine Learning - AI

APRIL 29, 2025

At Data Reply and AWS, we are committed to helping organizations embrace the transformative opportunities generative AI presents, while fostering the safe, responsible, and trustworthy development of AI systems. These potential vulnerabilities could be exploited by adversaries through various threat vectors.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

Architecting a multi-tenant generative AI environment on AWS A multi-tenant, generative AI solution for your enterprise needs to address the unique requirements of generative AI workloads and responsible AI governance while maintaining adherence to corporate policies, tenant and data isolation, access management, and cost control.

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Xebia

AUGUST 17, 2023

Leveraging Serverless and Generative AI for Image Captioning on GCP In today’s age of abundant data, especially visual data, it’s imperative to understand and categorize images efficiently. Cloud Storage Bucket: GCP’s unified object storage, allowing worldwide storage and retrieval of any amount of data.

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AWS Machine Learning - AI

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. In the following sections, we explain how to deploy this architecture.

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Netlify

MAY 26, 2021

Why I migrated my dynamic sites to a serverless architecture. Moriel is a physicist turned software engineer turned systems architect, currently working on modernizing Wikipedia’s architecture. Like most web developers these days, I’ve heard of serverless applications and Jamstack for a while.

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Erik Bernhardsson

NOVEMBER 30, 2021

Here's a theory I have about cloud vendors (AWS, Azure, GCP): Cloud vendors 1 will increasingly focus on the lowest layers in the stack: basically leasing capacity in their data centers through an API. Redshift is a data warehouse (aka OLAP database) offered by AWS. Other pure-software providers will build all the stuff on top of it.

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Perficient

APRIL 22, 2025

Data Summit 2025 is just around the corner, and were excited to connect, learn, and share ideas with fellow leaders in the data and AI space. As the pace of innovation accelerates, events like this offer a unique opportunity to engage with peers, discover groundbreaking solutions, and discuss the future of data-driven transformation.

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TechCrunch

NOVEMBER 16, 2021

PlanetScale , the serverless database company founded by the co-creators of the Vitess opensource project that powers YouTube, today announced that it has raised a $50 million Series C funding round led by Kleiner Perkins. ’ I think serverless is picking that up and it’s accelerating. .’

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Dzone - DevOps

MAY 1, 2023

With the growth of the application modernization demands, monolithic applications were refactored to cloud-native microservices and serverless functions with lighter, faster, and smaller application portfolios for the past years.

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AWS Machine Learning - AI

NOVEMBER 6, 2024

However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping and interacting with their business users. Streamlit allows data scientists to create interactive web applications using Python, using their existing skills and knowledge.

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AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

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AWS Machine Learning - AI

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies.

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AWS Machine Learning - AI

OCTOBER 11, 2024

Create business intelligence (BI) dashboards for visual representation and analysis of event data. For instance, programmatic rules for event attribute-based noise filtering lack flexibility when faced with organizational changes, expansion of the service footprint, or new data source formats, leading growing complexity.

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AWS Machine Learning - AI

NOVEMBER 19, 2024

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure.

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AWS Machine Learning - AI

APRIL 23, 2025

Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. The following diagram illustrates the solution architecture. Click here to open the AWS console and follow along.

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AWS Machine Learning - AI

JANUARY 22, 2025

We explain the end-to-end solution workflow, the prompts needed to produce the transcript and perform security analysis, and provide a deployable solution architecture. We must also account for limitations in the data that we ask Anthropics Claude to analyze. Highlight any actions taken that dont appear to be part of the runbook.

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TechCrunch

JUNE 1, 2022

Ethan Batraski is a partner at Venrock and focuses on data infrastructure, open source and developer tools. Thanks to the cloud, the amount of data being generated and stored has exploded in scale and volume. As a result, enterprises, on average, store data across seven or more different databases.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure. We can also quickly integrate flows with our applications using the SDK APIs for serverless flow execution — without wasting time in deployment and infrastructure management. Publish a working version of your guardrail.

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Palo Alto Networks

OCTOBER 22, 2024

According to the Unit 42 Cloud Threat Report : The rate of cloud migration shows no sign of slowing down—from $370 billion in 2021, with predictions to reach $830 billion in 2025—with many cloud-native applications and architectures already having had time to mature. Therefore, it'll be easier. It's definitely a misconception.

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CIO

OCTOBER 19, 2023

million terabytes of data will be generated by humans over the web and across devices. That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data in silos is a threat that demands a separate discussion.

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TechCrunch

OCTOBER 4, 2021

Infrastructure as code (IaC) has been gaining wider adoption among DevOps teams in recent years, but the complexities of data center configuration and management continue to create problems — and opportunities. IaC can be used for any type of cloud workload or architecture, but it is a necessity for anyone building on the modern cloud.

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AWS Machine Learning - AI

APRIL 9, 2025

Each distinct task type will likely require a separate LLM, which might also be fine-tuned with custom data. The Pro tier, however, would require a highly customized LLM that has been trained on specific data and terminology, enabling it to assist with intricate tasks like drafting complex legal documents. 70B and 8B.

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AWS Machine Learning - AI

APRIL 3, 2024

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. The solution design consists of two parts: data indexing and contextual search. Review and prepare the dataset.

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Xebia

APRIL 16, 2025

I summarized my key takeaways that can help you improve your serverless architectures. From Lambda-lith to Step Function A common anti-pattern in serverless architecture is creating a “Lambda-lith” – a monolithic Lambda function that handles too many responsibilities. With expressions like $.account.order.product.price.sum()

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AWS Machine Learning - AI

MARCH 13, 2025

However, customer interaction data such as call center recordings, chat messages, and emails are highly unstructured and require advanced processing techniques in order to accurately and automatically extract insights. MaestroQA integrated Amazon Bedrock into their existing architecture using Amazon Elastic Container Service (Amazon ECS).

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AWS Machine Learning - AI

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. This feature allows you to separate data into logical partitions, making it easier to analyze and process data later.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. Data security – Ensuring the security of inference payload data is paramount.

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