This architecture details how automotive OEMs and mobility providers can create advanced connected vehicle applications with reliable messaging, data, and analytics infrastructure. It encompasses vehicle management, digital services, and scalable security features, enabling OEMs to enhance vehicle performance while integrating with business systems and expanding into new service models.
This guide outlines the process of creating a private Azure Kubernetes Service (AKS) cluster within a hub-and-spoke network using Terraform and Azure DevOps. It integrates Azure Firewall for traffic inspection, detailing the architecture, virtual networks, deployment strategies, and security measures. Key considerations include managing egress traffic, enhanced security, and Azure’s monitoring capabilities.
The AWS Well-Architected Framework (WA Framework) is designed to help cloud architects build secure, resilient, high-performing, and efficient workloads on AWS. It is structured around
This reference architecture outlines the deployment of Azure Spring Apps within Azure landing zones, emphasizing centralized resource management for governance and cost efficiency. It defines responsibilities between application and platform teams, highlights key components and networking considerations, and provides best practices for optimizing security, monitoring, and scaling.
The Technology Innovation Institute has launched the Falcon 2 11B AI model, deployable on Amazon EC2 c7i instances. This model features quantization for efficiency, enhancing real-time applications. It utilizes Intel AMX for improved performance and lower costs while maintaining output quality, making it suitable for various AI-driven tasks across multiple languages.
CyberArk’s engineering team optimized serverless architecture governance by implementing codified architectural blueprints and automated tools. This strategy minimizes duplicative work, ensures adherence to best practices, and promotes consistency across development teams. By focusing on automated governance, developers can efficiently deliver business value without navigating complex architectural challenges, ultimately saving months in development time.
Amazon EventBridge is a serverless event router enabling asynchronous communication between application producers and consumers. This post emphasizes monitoring event delivery through metrics like SuccessfulInvocationAttempts and FailedInvocations, crucial for understanding event flow and detecting performance issues. Effective observability enhances event-driven architecture reliability on AWS.
Banfico, a FinTech company in London, develops Open Banking regulatory compliance solutions for over 185 financial institutions. Utilizing AWS and Red Hat OpenShift, they created a scalable, secure Open Banking Directory that meets PSD2 regulations. This architecture enhances reliability, minimizes administrative tasks, and facilitates rapid feature deployment for improved user satisfaction.
This post highlights the importance of application reliability and introduces the AWS Fault Injection Service (FIS) Scenario Library, specifically focusing on the AZ Availability: Power Interruption scenario. The library simplifies chaos engineering by offering pre-built experiments to test applications’ resilience, allowing users to manage and observe effects without complex setup.
This article outlines a basic architecture for learning to build chat applications using Azure OpenAI Service language models. It details components such as Azure App Service and Machine Learning prompt flow for orchestrating workflows. Intended for proof of concept, this architecture is not suitable for production use, emphasizing simplicity over reliability and security.
This post by Josh Hart and Thomas Moore examines best practices for integrating large language models (LLMs) within serverless applications. It emphasizes optimization strategies for performance, resource use, and resilience using AWS services like Lambda and Step Functions. Examples highlight techniques like direct calls, prompt chaining, parallel processing, and caching for effective implementation.
Oracle and Amazon Web Services (AWS) are partnering to offer Oracle Database services on the AWS cloud, launching in 2025. The initiative, Oracle Database@AWS, integrates services with AWS for enhanced performance and support, enabling seamless access to Oracle Autonomous Database and Exadata on AWS infrastructure, catering to multi-cloud customer needs.
This post details an experiment focused on creating a RAG pipeline for automobile insurance claims processing. It highlights the integration of Autogen AI Agents and Azure AI services to enhance document retrieval and decrease processing times. The workflow includes various innovative stages, with an emphasis on the importance of accuracy and methodological evaluation throughout the RAG process.
athenahealth is modernizing its technology stack using AWS hybrid cloud solutions to enhance scalability, performance, and developer productivity, ultimately improving patient care. By transitioning from a monolithic architecture to microservices through AWS Outposts and Local Zones, the company aims for operational efficiency while maintaining low-latency access to on-premises databases.
