The Tech Radar - Issue #02 (May 2025)

We’re rolling out the ability to easily modify both your AI creations and images you upload from your phone or computer.

AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, there would be no Google Cloud, as they are the ones building the future on our platform. In this monthly round-up, we dive into some of the exciting projects redefining businesses, shaping industries, and creating new categories. For our inaugural edition, we explore Lowe’s new Visual Scout product recommendation engine powered by Vertex AI Vector Search; a responsive “Driver Agent”...

Editor’s note : Want to keep up with the latest from Google Cloud? Check back here for a monthly recap of our latest updates, announcements, resources, events, learning opportunities, and more. From Agent2Agent Protocol to Gemini 2.5 Pro, it’s been an exciting month. We hosted Google Cloud Next in Las Vegas on April 9th with over 30,000 people, announcing incredible innovations from Ironwood TPU to Agent2Agent Protocol .

Your customers might not all speak the same language. If you operate internationally or serve a diverse customer base, you need your chatbot to meet them where they are – whether they’re searching for something in Spanish or Japanese. If you want to give your customers multilingual support with chatbots, you’ll need to orchestrate multiple AI models to handle diverse languages and technical complexities intelligently and efficiently.

Here are Google’s latest AI updates from April 2025...

Across industries, enterprises need efficient and proactive solutions. Imagine frontline professionals using voice commands and visual input to diagnose issues, access vital information, and initiate processes in real-time. The Gemini 2.0 Flash Live API empowers developers to create next-generation, agentic industry applications. This API extends these capabilities to complex industrial operations.

For AI developers building cutting-edge applications with large model sizes, a reliable foundation is non-negotiable. You need your AI to perform consistently, delivering results without hiccups, even under pressure. This means having dedicated resources that won't get bogged down by other users' activity. While existing Vertex AI Prediction Endpoints – managed pools of resources to deploy AI models for online inference – provide a capable serving solution, developers need better ways to reach..

Google Research teams are using AI to address fundamental scientific questions and advance research across disciplines from quantum computing to genomics and neuroscienc…

Google and Kaggle’s Gen AI Intensive course, had more than 280,000 signups in just 20 days.

Late-night study sessions, complex equations, and immense pressure: for millions of students in India, the IIT JEE Main exam and NEET for medical colleges are critical gateways for their futures. Exam success hinges on intricate reasoning within physics, chemistry, mathematics, zoology, and botany. These students require a clear, step-by-step understanding of the topics, not just the correct answers.

The AI Futures Fund is a new initiative from Google that invests in and works with startups.

The world of generative AI is moving fast, with models like Lyria, Imagen, and Veo now capable of producing stunningly realistic and imaginative images and videos from simple text prompts. However, evaluating these models is still a steep challenge. Traditional human evaluation, while the gold standard, can be slow and costly, hindering rapid development cycles. To address this, we're thrilled to introduce Gecko , now available through Google Cloud’s Vertex AI Evaluation Service .

At Google Cloud Next ‘25, we announced upgrades to the core LangChain Postgres package and became a major contributor to the library. These improvements underscore our vision that every application developer is a gen AI developer – one that is empowered to build database-backed agentic gen AI applications leveraging open source tools. LangChain is an open-source framework designed to simplify the development of agentic gen AI applications powered by large language models (LLMs).

According to DORA’s latest research – the Impact of Generative AI in Software Development report – AI tools are making software developers feel more productive, focused, and satisfied. They're even writing better code and documentation more quickly. But the research uncovered a paradox: these individual gains do not translate directly into improved system-level performance.

For AI-powered agents to perform useful, real-world tasks, they need to reliably access tools and up-to-the-minute information that lives outside the base model. Anthropic’s Model Context Protocol (MCP) is designed to address this, providing a standardized way for agents to retrieve that crucial, external context needed to inform their responses and actions. This is vital for developers who need to build and deploy sophisticated agents that can leverage enterprise data or public tools.

It’s a core part of our mission at Google Cloud to help you meet your evolving policy, compliance, and business objectives. To help further strengthen the security of your cloud environment, we continue regular delivery of new security controls and capabilities on our cloud platform. We announced at Google Cloud Next multiple new capabilities in our IAM, Access Risk, and Cloud Governance portfolio.

Welcome to the second Cloud CISO Perspectives for April 2025. Today, Sandra Joyce, vice president, Google Threat Intelligence, will talk about the practical applications of AI in both attack and defense, adapted from her RSA Conference keynote. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog . If you’re reading this on the website and you’d like to receive the email version, you can subscribe here .

Google Threat Intelligence Group (GTIG) has identified a new piece of malware called LOSTKEYS, attributed to the Russian government-backed threat group COLDRIVER (also known as UNC4057, Star Blizzard, and Callisto). LOSTKEYS is capable of stealing files from a hard-coded list of extensions and directories, along with sending system information and running processes to the attacker.

Background UNC3944, which overlaps with public reporting on Scattered Spider, is a financially-motivated threat actor characterized by its persistent use of social engineering and brazen communications with victims. In early operations, UNC3944 largely targeted telecommunications-related organizations to support SIM swap operations. However, after shifting to ransomware and data theft extortion in early 2023, they impacted organizations in a broader range of industries.

This Asian American, Native Hawaiian, and Pacific Islander Heritage Month, Google's products can help you embrace the spirit of connection and celebration...

These are some of this months new features and improvements for Google Workspace: Upcoming Changes to Microsoft Exchange Migrations; Extract and categorize data in AppSheet with the power of Gemini; Google Workspace apps for Gmail, Google Drive, Google Docs, Calendar, Keep, and Tasks are now generally available for the Gemini app; Use Gemini in Google Sheets to quickly add dropdowns, pivot tables, filters, and more; Use Gemini in Drive to interact with folders in 20+ additional languages;...

These are some of this months new features and improvements for Google Workspace: Generate custom video clips in Google Vids with Veo 2; Granular OAuth consent in HTTP Google Workspace add-ons; Gmail will soon stop support for the 3DES encryption cipher for incoming SMTP connections; Pre-configure Gemini app conversation history admin settings before they take effect; Start a conversation with Gemini in the side panel of Google Drive about specific files; Google Voice gets support for three way.

These are some of this months new features and improvements for Google Workspace: Expanding Google Vids to Business Starter, Enterprise Starter and Nonprofit customers; Use NotebookLM to generate Audio Overviews more than 50 languages; Enhance Your Organization’s Security with Out-of-Domain File Warnings in Google Workspace; Introducing Frontline Plus: Enhanced Security and AI features for Frontline Workers; Data classifications labels for Gmail are now generally available; Introducing even...

From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today . As the number of generative AI applications and volume of users scale, the need for performant, scalable, and easy to use inference technologies is critical. At Google Cloud, we’re paving the way for this next phase of AI’s rapid evolution with our AI Hypercomputer.

AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, there would be no Google Cloud, as they are the ones building the future on our platform. In this monthly round-up, we dive into some of the exciting projects redefining businesses, shaping industries, and creating new categories. For our inaugural edition, we explore Lowe’s new Visual Scout product recommendation engine powered by Vertex AI Vector Search; a responsive “Driver Agent”...

The key to effective data-driven decision making is quickly processing and extracting insights from large amounts of data. However, doing this efficiently and at scale is a challenge. Imagine a retail scenario where you’re trying to identify the highest performing promotions by analyzing sales data across products, stores, locations, and a large customer base, in conjunction with other marketing events and discount sales.

At Google Cloud Next 25, we announced a major step forward in geospatial analytics: Earth Engine in BigQuery . This new capability unlocks Earth Engine raster analytics directly in BigQuery, making advanced analysis of geospatial datasets derived from satellite imagery accessible to the SQL community. Before we get into the details of this new capability and how it can power your use cases, it's helpful to distinguish between two types of geospatial data and where Earth Engine and BigQuery have.

BigQuery delivers optimized search/lookup query performance by efficiently pruning irrelevant files. However, in some cases, additional column information is required for search indexes to further optimize query performance. To help, we recently announced indexing with column granularity, which lets BigQuery pinpoint relevant data within columns, for faster search queries and lower costs. BigQuery arranges table data into one or more physical files, each holding N rows.

In the AI era, where data fuels intelligent applications and drives business decisions, demand for accurate and consistent data insights has never been higher. However, the complexity and sheer volume of data coupled with the diversity of tools and teams can lead to misunderstandings and inaccuracies. That's why trusted definitions managed by a semantic layer become indispensable.

In today's data-driven world, teams struggle with siloed data, lack of business context, data reliability concerns, and inconsistent governance that hinders actionable insights. But what if there was a way that could transform your data landscape, unlocking the true value of your information? That’s the problem we aim to solve with the experimental launch of data products in BigQuery, announced at Google Cloud Next.

As organizations adopt DevOps practices, application developers are increasingly expected to not only build applications but also manage and operate the databases they use. This added responsibility can prolong the application development process and time to market, primarily because developers must often manage and operate these critical systems without specialized database expertise. To help, we introduced AI-assisted troubleshooting for Cloud SQL and AlloyDB at Google Cloud Next 25.

Building modern, data-driven applications requires a database that can handle transactional, analytical, and vector search workloads, especially as AI and machine learning become increasingly vital. You need a solution that scales, maintains compliance, delivers consistent performance, and that doesn’t require constant re-architecting. Whether you’re building transactional, translytical, or generative AI applications across one or multiple cloud environments, you know the challenges:...

We're thrilled to share that Google Cloud Spanner has been recognized by Gartner in the Critical Capabilities for Cloud Database Management Systems for Operational Use Cases report, where it was ranked #1 in the Lightweight Transactions Use Case and was ranked #3 in the OLTP Transactions Use Case and the Application State Management Use Case. This recognition showcases Spanner's strength and versatility to handle the most demanding workloads. Check out the full Gartner report .

Recently at Google Cloud Next 25, we announced our latest Cross-Cloud Network innovation: Cloud WAN , a fully managed, reliable, and secure solution to transform enterprise wide area network (WAN) architectures. Today, we continue our series of deep dives into the technologies powering Cloud WAN, namely Premium Tier networking and the Verified Peering Provider program .

When’s the last time you watched a race for the braking? It’s the heart-pounding acceleration and death-defying maneuvers that keep most motorsport fans on the edge of their seats. Especially when it comes to Formula E — and really all EVs — the explosive, near-instantaneous acceleration of an electric motor is part of the appeal. A less considered, yet no less important feature, is how EVs can regeneratively brake , turning friction into fuel.

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Organizations are rapidly integrating generative AI in ways that directly impact all employees, not just technical teams. We’re seeing this across a variety of customer use cases. For instance, Mark Cuban's Cost Plus Drugs reports employees saving an average of five hours weekly using Gemini in Gmail for tasks like drafting emails. Hog Island Oyster is simplifying sales analysis for their teams by generating reports with Gemini in Sheets using simple prompts, and Formula E can automatically...

With the advent of generative AI solutions, a paradigm shift is underway across industries, driven by organizations embracing foundation models (FMs) to unlock unprecedented opportunities. Amazon Bedrock has emerged as the preferred choice for numerous customers seeking to innovate and launch generative AI applications, leading to an exponential surge in demand for model inference capabilities.

Amazon Q Business is a generative AI-powered assistant that answers question, provides summaries, generates content, and securely completes tasks based on enterprise data and information. It connects to company data sources, applications, and internal systems to provide relevant, contextual answers while maintaining organizational security and compliance standards. Today, we’re excited to announce that Amazon Q Business now supports anonymous user access .

Today we’re expanding the Amazon Nova family of foundation models announced at AWS re:Invent with the general availability of Amazon Nova Premier , our most capable model for complex tasks and teacher for model distillation. Nova Premier joins the existing Amazon Nova understanding models available in Amazon Bedrock . Similar to Nova Lite and Pro, Premier can process input text, images, and videos (excluding audio).

Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. An agent uses a function call to invoke an external tool (like an API or database) to perform specific actions or retrieve information it doesn’t possess internally. These tools are integrated as an API call inside the agent itself, leading to challenges in scaling and tool reuse across an enterprise.

Multimodal fine-tuning represents a powerful approach for customizing foundation models (FMs) to excel at specific tasks that involve both visual and textual information. Although base multimodal models offer impressive general capabilities, they often fall short when faced with specialized visual tasks, domain-specific content, or particular output formatting requirements.

Our customers’ key strategic objectives are cost savings and building secure and resilient infrastructure. At AWS, we’re dedicated to helping you meet these critical goals with our unparalleled expertise and industry-leading tools. One of the most valuable resources we offer is the AWS Trusted Advisor detailed report, which provides deep insights into cost optimization, security enhancement, infrastructure resilience, performance optimization, and service limit management.

In this post, we showcase how Dr. Kori Ramajoo, Dr. Sonia Brownsett, Prof. David Copland, from QARC, and Scott Harding, a person living with aphasia, used AWS services to develop WordFinder, a mobile, cloud-based solution that helps individuals with aphasia increase their independence through the use of AWS generative AI technology. In the spirit of giving back to the community and harnessing the art of the possible for positive change, AWS hosted the Hack For Purpose event in 2023.

In the media and entertainment industry, understanding and predicting the effectiveness of marketing campaigns is crucial for success. Marketing campaigns are the driving force behind successful businesses, playing a pivotal role in attracting new customers, retaining existing ones, and ultimately boosting revenue. However, launching a campaign isn’t enough; to maximize their impact and help achieve a favorable return on investment, it’s important to understand how these initiatives perform.

In the era of AI and machine learning (ML), there is a growing emphasis on enhancing security— especially in IT contexts. In this post, we demonstrate how your organization can reduce the end-to-end burden of resolving regular challenges experienced by your IT support teams—from understanding errors and reviewing diagnoses, remediation steps, and relevant documentation, to opening external support tickets using common third-party services such as Jira.

Recognizing the transformative benefits of generative AI for enterprises, we at Hexagon’s Asset Lifecycle Intelligence division sought to enhance how users interact with our Enterprise Asset Management (EAM) products. Understanding these advantages, we partnered with AWS to embark on a journey to develop HxGN Alix, an AI-powered digital worker using AWS generative AI services.

Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didn’t have during training. This data is used to enrich the generative AI prompt to deliver more context-specific and accurate responses without continuously retraining the FM, while also improving transparency and minimizing hallucinations.

Generative AI tools have transformed how we work, create, and process information. At Amazon Web Services (AWS), security is our top priority. Therefore, Amazon Bedrock provides comprehensive security controls and best practices to help protect your applications and data. In this post, we explore the security measures and practical strategies provided by Amazon Bedrock Agents to safeguard your AI interactions against indirect prompt injections, making sure that your applications remain both...

According to a Gartner survey in 2024 , 58% of finance functions have adopted generative AI, marking a significant rise in adoption. Among these, four primary use cases have emerged as especially prominent: intelligent process automation, anomaly detection, analytics, and operational assistance. In this post, we show you how Amazon Q Business can help augment your generative AI needs in all the abovementioned use cases and more by answering questions, providing summaries, generating content,...

This post is the second part of the DeepSeek series focusing on model customization with Amazon SageMaker HyperPod recipes (or recipes for brevity). In Part 1 , we demonstrated the performance and ease of fine-tuning DeepSeek-R1 distilled models using these recipes. In this post, we use the recipes to fine-tune the original DeepSeek-R1 671b parameter model. We demonstrate this through the step-by-step implementation of these recipes using both SageMaker training jobs and SageMaker HyperPod .

PixArt-Sigma is a diffusion transformer model that is capable of image generation at 4k resolution. This model shows significant improvements over previous generation PixArt models like Pixart-Alpha and other diffusion models through dataset and architectural improvements. AWS Trainium and AWS Inferentia are purpose-built AI chips to accelerate machine learning (ML) workloads, making them ideal for cost-effective deployment of large generative models.

Financial services institutions (FSIs) are increasingly adopting AI technologies to drive innovation and improve customer experiences. However, this adoption brings new governance, risk, and compliance (GRC) considerations that organizations need to address. To help FSI customers navigate these challenges, AWS is excited to announce the launch of the AWS User Guide to Governance, Risk and Compliance for Responsible AI Adoption within Financial Services Industries.

Every day, millions of applications seamlessly connect users to the digital services they need through DNS queries. These queries act as an interface to the internet’s address book, translating familiar domain names like amazon.com into the IP addresses that computers use to appropriately route traffic. The DNS landscape presents unique security challenges and opportunities in Amazon Virtual Private Cloud (Amazon VPC) environments.

As AI becomes central to business operations, so does the need for responsible AI governance. But how can you make sure that your AI systems are ethical, resilient, and aligned with compliance standards? ISO/IEC 42001, the international management system standard for AI, offers a framework to help organizations implement AI governance across the lifecycle.

In the cloud security landscape, organizations benefit from aligning their controls and practices with industry standard frameworks such as MITRE ATT&CK ® , MITRE Engage TM , and MITRE D3FEND TM . MITRE frameworks are structured, openly accessible models that document threat actor behaviors to help organizations improve threat detection and response.

AWS Identity and Access Management (IAM) Access Analyzer is a feature that you can use to identify resources in your AWS organization and accounts that are shared with external entities and to identify unused access. In this post, we explore how the unused access analyzer in IAM Access Analyzer works, dive into the cost implications, and share practical approaches to manage and optimize how you use it with a primary focus on cost optimization.

Large Language Models (LLMs) have become essential tools for content generation, document analysis, and natural language processing tasks. Because of the complex non-deterministic output generated by these models, you need to apply robust safety measures to help prevent inappropriate outputs and protect user interactions. These measures are crucial to address concerns such as the risk of generating malicious content, harmful instructions, potential misuse, protection of sensitive information,...

On August 20, 2024, we announced the general availability of the new AWS CloudHSM instance type hsm2m.medium (hsm2). This new type comes with additional features compared to the previous AWS CloudHSM instance type, hsm1.medium (hsm1), such as support for Federal Information Processing Standard (FIPS) 140-3 Level 3 , the ability to run clusters in non-FIPS mode, increased storage capacity of 16,666 total keys, and support for mutual transport layer security (mTLS) between the client and CloudHSM.

Amazon Web Services (AWS) has successfully renewed its Esquema Nacional de Seguridad (ENS) High certification under the latest framework established by Royal Decree 311/2022 . This achievement demonstrates the continued dedication of AWS to meeting the stringent security requirements essential for serving Spanish government entities and public organizations. The ENS framework serves as the cornerstone of cybersecurity standards for Spain’s public sector.

Amazon Web Services (AWS) has successfully revalidated its prestigious AAA rating under the Pinakes qualification system, with certification coverage extending to 174 services across 31 global AWS Regions. This achievement marks a significant milestone in the commitment of AWS to serving the Spanish financial sector with the highest security standards and assurance.

Government agencies face an unprecedented challenge when designing security against unauthorized access to IT infrastructure and data. Traditional perimeter-based security models—which rely on the assumption of trust within an organization’s network boundaries—are no longer sufficient. The wide adoption of bring-your-own-device (BYOD) and cloud-based resources requires adopting additional security measures beyond the traditional perimeter-based models.

In part 2 of this series, we showed you how to use Amazon SageMaker Studio notebooks with natural language input to assist with threat hunting. This is done by using SageMaker Studio to automatically generate and run SQL queries on Amazon Athena with Amazon Bedrock and Amazon Security Lake . The Security Lake service team and the Open Cybersecurity Schema Framework (OCSF) community continue to add additional log sources and OCSF mappings to enable Security Lake to provide a consolidated source..

Organizations often need to securely share files with external parties over the internet. Allowing public access to a file transfer server exposes the organization to potential threats, such as malware-infected files uploaded by threat actors or inadvertently by genuine users. To mitigate this risk, companies can take steps to help make sure that files received through public channels are scanned for malware before processing.

Real-time capabilities have become essential in modern applications, where users expect immediate updates and interactive experiences. Whether you’re building chat applications, live dashboards, gaming leaderboards, or IoT systems, AWS AppSync Events enables these real-time features through WebSocket APIs, allowing you to build scalable and performant real-time applications, without worrying about scale or connection management.

In a enterprise landscape, custom applications play a critical role in improving operations, enhancing productivity, and centralizing knowledge within the organization. However, these tools often lack intelligent, conversational interfaces that help users access relevant information faster and more intuitively. Traditional dashboards and search bars fall short when it comes to interpreting complex queries or surfacing contextual insights from vast organizational data.

The customer experience landscape has entered a new era of transformation, where generative AI and intelligent automation are no longer future possibilities but present-day imperatives. At Amazon Web Services (AWS), we’re helping organizations harness these technologies to create more meaningful, efficient, and personalized customer interactions. This year, we are thrilled to be a sponsor of Customer Contact Week 2025 , where industry leaders will gather in Las Vegas to explore how AI is...

Today’s consumers have high expectations – and your customers are no exception. Every business is racing to stay ahead with the latest technical innovation that can improve service, reduce costs, and help target strategic growth. Amazon Connect is one of these solutions – powered by the might of AWS technology and AI, it’s a modern and scalable solution – but if you cut corners when it comes to delivery, you could impact your potential returns.

Enterprise contact centers struggle to support multiple lines of business (LOBs) with separate IT and operations teams. Business Process Outsourcing (BPO) companies amplify this complexity, managing hundreds of customers with unique requirements. Contact center migration patterns address these challenges, accelerating deployments and simplifying operations. This post explains five such proven patterns that create a robust foundation for medium to large-scale contact center migrations.

The Wisconsin Department of Revenue (DOR) administers the state’s income and business tax laws, oversees property tax assessments, regulates alcohol and tobacco sales, verifies taxpayers’ identities, manages the state lottery, and distributes tax revenues to local governments. The agency’s contact center, where about 500 agents handle 700,000 calls annually, depended on multiple disparate technologies hampered by frequent outages, inefficient workflows, time-consuming documentation, and a lack..

Priceline is a leader in online travel that pairs innovation with negotiation to help customers find best-in-class deals on flights, hotels, car rentals and cruises. As an online travel agency, Priceline works with a vast network of trusted travel suppliers worldwide to offer extensive inventory for our customers. In fact, Priceline offers over 1.2M accommodations in over 116 countries globally.

Introduction SMS messaging continues to be one of the most reliable and effective communication channels. However, for Software as a Service (SaaS) companies, Independent Software Vendors (ISVs), and multi-tenant solution providers looking to incorporate SMS capabilities into their offerings, the journey can be complex and filled with challenges. This guide is specifically designed for technology providers—whether you’re a SaaS company, an ISV, or any platform that enables your customers to...

We are excited to announce the launch of ‘Move to AI’ Modernization Pathway. It provides organizations with a structured approach to identify and implement high-impact artificial intelligence (AI) opportunities within their application portfolio. This addition to our comprehensive suite of Modernization Pathways provides an effective way to unlock innovation, automate workflows, and enhance customer experiences.

In this post, you learn how to use AWS serverless technologies, such as Amazon EventBridge and AWS Lambda , to build an integration between Quick Service Restaurants (QSRs) and online ordering and food delivery aggregators. These aggregators have taken off as an option to QSRs to expand their consumer base, enabling them with delivery options to help grow their businesses. QSR overview QSRs prioritize speedy and convenient service, offering a streamlined menu.

We are excited to announce the availability of new features in AWS Database Migration Service (AWS DMS) replication engine version 3.5.4. This release includes two major enhancements: data masking for enhanced security and improved data validation performance. In this post, we deep dive into these two features. Refer to the release notes to see a list of all the new features available in this version.

From startups to enterprises, thousands of software as a service (SaaS) solutions harness the power of Amazon CloudFront to secure, scale, and accelerate their applications globally. Building on over 16 years of innovation , we are introducing Amazon CloudFront SaaS Manager, a long-awaited capability for CloudFront customers. CloudFront SaaS Manager revolutionizes how platform providers manage multi-domain content delivery networks (CDN) on CloudFront.

We are announcing the deprecation of the AWS DynamoDB Session State Provider for .NET . Support for this library will continue for the next six months and will officially end on November 14, 2025 . After that date, we will no longer publish updates to the library, including security or critical bug fixes. Previously published releases will continue to be available via NuGet, and the source code will remain on GitHub. The repository will be archived after the end-of-support date.

Applications face a variety of security threats, such as distributed denial of service (DDoS) attacks, web application exploits like SQL injection and cross-site scripting (XSS), and bot traffic. In this post, to help protect your applications against these threats, we demonstrate how to build your first web access control list (web ACL) in AWS WAF . AWS WAF is a web application firewall that you use to monitor web requests and control access to your application.

Introduction Have you ever wondered how global organizations maintain data compliance while leveraging cloud infrastructure across different Regions? As businesses expand internationally, multi-Region cloud strategies using Amazon Web Services (AWS) have become crucial for performance and regulatory adherence. Understanding the complex landscape of global data protection laws can feel like solving a challenging puzzle.

AWS recently added AWS Lambda SnapStart support for .NET Lambda functions to deliver faster function startup performance, from several seconds to as low as sub-second, typically with minimal or no code changes. This post explores techniques to maximize the performance gains of SnapStart for several different types of .NET workloads. For a high-level overview and introduction to SnapStart, see https://aws.amazon.

This is a guest post co-written with Khurram Naseem, Senior Director of Engineering at Careem and Haziq Masud, Senior Software Engineer at Careem Careem powers rides, deliveries, and payments across the Middle East, North Africa and South Asia. Their massive platform serves 50 million users in 100 cities using a robust, cloud-centered infrastructure built entirely on Amazon Web Services (AWS) . As Careem grew, so did its data infrastructure challenges.

“Everything fails, all the time” – Werner Vogels, Amazon.com CTO In today’s digital landscape, designing applications with resilience in mind is crucial. Resiliency is the ability of applications to handle failures gracefully, adapt to changing conditions, and recover swiftly from disruptions. By integrating resilience into your application architecture, you can minimize downtime, mitigate the impact of failures, and ensure continuous availability and performance for end-users.

Encryption serves a fundamental role in securing sensitive data both in transit and at rest. Server-side encryption offers simplicity and ease of implementation, with data encrypted where stored, and enables seamless integration with other services. In contrast, client-side encryption secures data where ingested or created, and offers additional capabilities to meet specific security requirements around data sovereignty and encryption key ownership.

Learn how HCLTech successfully helped a customer implement Microsoft Dynamics 365 Customer Engagement (D365 CE) on AWS cloud. To gain a deeper understanding into HCLTech’s consultative approach and the insights from this project, we spoke with Karthik Rajan and Anand K Patel, Solutions Architects at HCLTech. We explore key considerations including purchase models, licensing optimization, cost management, solution architecture, systems integration, and regulatory compliance.

In the world of database development, ensuring the reliability and correctness of your code is crucial. Unit testing plays a vital role by allowing developers to validate individual components of database logic, including stored procedures, functions, and triggers. pgTAP (PostgreSQL Test Anything Protocol) is a unit testing framework that empowers developers to write and run tests directly within the database.

Modern serverless applications must be capable of seamlessly handling large file uploads. This blog demonstrates how to leverage Amazon Simple Storage Service (Amazon S3) presigned URLs to allow your users to securely upload files to S3 without requiring explicit permissions in the AWS Account. This blog post specifically focuses on the security ramifications of using S3 presigned URLs, and explains mitigation steps that serverless developers can take to improve the security of their systems...

This blog explores how athenahealth reduced operational burden, improved developer productivity and hybrid cloud capabilities as they transformed from a monolithic to microservices architecture using Amazon Elastic Kubernetes Service (Amazon EKS). Navigating the complexities of EKS Consolidation As athenahealth modernized monolithic applications to unlock agility and efficiency microservices they faced challenges.

If you could choose any career, what would give you a lifetime of joy and fulfillment? Even with a rewarding career as a scientist, it’s a question I pondered often during the COVID-19 pandemic. Like many others, the pandemic pushed me to reflect deeply on what truly mattered and reshaped my perspective. My scientific career began in college when a summer internship unexpectedly became a full-time opportunity that funded my education.

This post was contributed by Emilie Huffman from Perimeter Institute along with Sebastian Stern and Sebastian Hassinger from AWS. Quantum computing promises new approaches to the ways in which we simulate fundamental physics, potentially solving problems that are intractable for classical computers. In this post, we demonstrate how to use Amazon Braket to find the ground state energy for a model relevant to quantum chromodynamics , the fundamental theory of quarks and gluons.

Greetings! I’m Joshua Hlanyane, an AWS Educate Learner Advocate passionate about empowering the next generation of cloud professionals. Through my journey learning AWS across their various educational platforms, I’ve gained valuable insights into what works—and what doesn’t—when starting your cloud computing journey. Today, I’m excited to share practical recommendations that can help smooth your path into the AWS Cloud. Let’s be honest, getting started in tech can feel overwhelming.

This post describes how to gather, collect, and distribute data from your connected vehicles and connected assets, such as manufacturing machinery or utility meters, into the Salesforce Industry Cloud solutions using Amazon Web Services (AWS) services. With AWS Internet of Things (AWS IoT), there’s AWS IoT FleetWise , a managed service to efficiently collect vehicle data and organize it in the cloud; AWS IoT SiteWise , a managed service that makes it simple to collect, store, organize, and...

Organizations across industries are accelerating their digital transformation and realizing cloud value through AWS Experience-Based Acceleration (EBA) , a transformation methodology using hands-on, agile, and immersive engagements. Hundreds of enterprises at various levels of cloud maturity have harnessed EBA to build cloud foundations, migrate at scale, modernize their businesses, and innovate for their customers.

Generative Artificial Intelligence (GenAI) is a disruptive technology that can create new and original content, such as text, images, audio, video, and software code. To realize the full potential of this technology, companies may democratize GenAI through a Global Enterprise Portal (GEP) to support use cases across all business units. GenAI use cases span a vast number of areas of domestic and work life, where GenAI is used for content creation and editing, creativity and recreation, research,.

As electric vehicle (EV) adoption continues to rise, battery analytics become crucial. The battery serves as the new engine, directly influencing the vehicle’s performance, reliability, and safety. Advanced battery analytics enable predictive maintenance, optimize battery lifespan, and predict unexpected failures by continuously monitoring key electrical, thermal, and performance parameters.

I’m Nikhil Nareddula, an AWS learner who started with zero cloud tech background—just curiosity and determination. A year ago, I wasn’t a cloud expert, I had no formal training or certifications, but today, I’m building real AWS projects. It all started when I had one question: Can I build something meaningful using only free resources? Turns out, the answer is yes, thanks to AWS Educate .

We are thrilled to be joining the National Retail Federation (NRF) Big Show: Asia Pacific for its second year from June 3-5, 2025 in Singapore. This year’s theme, ‘Retail Unlimited,’ explores how technology can transform industries and elevate shopping experiences at every touchpoint. Together with Amazon Web Services (AWS), Amazon teams, and AWS Industry Partners, we’ll demonstrate how retailers, consumer brands, and restaurants can harness cloud solutions to innovate faster, drive business...

The banks who are delivering value from generative AI (gen AI) and machine learning (ML) investments are building AI stacks that are scalable and well governed. These stacks accelerate proofs-of-concept/proofs-of-value into production reliably so that business needs are met. Introduction There is a lot going on in banks related to both gen AI and more ‘traditional’ ML.

Organizations across industries face the challenge of processing a substantial volume of invoices while maintaining accuracy and compliance. Holcim, a global leader in innovative and sustainable building solutions, tackled this challenge by developing an innovative solution using Amazon Bedrock that transformed their invoice processing operations. The Challenge Holcim’s operations in one European country managed a complex invoice processing workflow through a single email inbox that received...

Processing high volumes of invoices efficiently while maintaining low latency, high availability, and business visibility is a challenge for many organizations. A customer recently consulted us on how they could implement a monitoring system to help them process and visualize large volumes of invoice status events. This post demonstrates how to build a Business Event Monitoring System (BEMS) on AWS that handles over 86 million daily events with near real-time visibility, cross-Region controls,..

This post is co-written with Rebecca Nissan, Sr. Delivery Solutions Engineer, Healthcare and Life Sciences, Field Engineering, Databricks. In today’s healthcare data-centric landscape, organizations face challenges (such as disparate data silos) across their electronic health records (EHRs), medical imaging, and other on-premises data warehouses. Healthcare data is growing at such a rapid rate that one study observed the healthcare industry is growing faster than other verticals and contributes.

In today’s fast-paced digital world, AUDI AG faces immense pressure to innovate rapidly. In 2023, the Audi Cloud Foundation Services (ACS) team, supported by Storm Reply, launched the first version of their generative AI chatbot solution. This solution was designed to reduce internal knowledge base retrieval time and improve employee productivity. For more details, see How Audi improved their chat experience with Generative AI on Amazon SageMaker.

Introduction Seismic processing is a high-performance computing workflow to enhance, image, and understand subsurface structure. Modern high density 3D seismic data acquisition methods need 10-100 times more compute power for processing and imaging as compared to previous generation seismic acquisition methods. In return, geologists get improved geological resolution details such as thin beds, subtle faults, and stratigraphic traps.