Cloud Provider Integration

"We are spending $47k on GenAI. We need to bring this down." "Can you explain your $47K AI bill?" "No" The CTO that gave me this answer a couple of weeks back is not alone. This is a key challenge with AI adoption in 2025. ━━━━━━━━━━━━━━━━━━━━━ Everyone's building with AI. Nobody's governing it and observability is largely considered to be a nice-to-have. What ungoverned AI looks like: ▸ Teams using premium models (GPT-5.1 at $1.25-$10 per 1M tokens) for tasks that smaller models handle perfectly - often at 10x lower cost or more ▸ Zero visibility into which models process sensitive data ▸ No audit trails for compliance ▸ Rising bills every month with no way to explain them ━━━━━━━━━━━━━━━━━━━━━ My colleagues Daniel Ferguson, Bobby Lindsey, Nick McCarthy, Chaitra Mathur and Sreedevi Velagala have published the Multi-Provider Generative AI Gateway reference architecture which addresses all of this. 𝗧𝗵𝗲𝗶𝗿 𝗙𝗼𝘂𝗿 𝗣𝗶𝗹𝗹𝗮𝗿𝘀: ① 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗔𝗰𝗰𝗲𝘀𝘀 One API for all providers. Teams integrate once. Control all AI providers, not just AWS. ② 𝗦𝗺𝗮𝗿𝘁 𝗥𝗼𝘂𝘁𝗶𝗻𝗴 Auto-match requests to cost-effective models. Simple tasks to smaller models, complex reasoning to premium models. ③ 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 Real-time tracking by team, application, and model through the LiteLLM admin interface. CloudWatch integration reveals usage patterns and cost drivers. ④ 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 Amazon Bedrock Guardrails integration, API key rotation, rate limiting, budget controls with alerts, and full audit trails. Private VPC deployment available. ━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: Built on the open-source LiteLLM project and deployed as containers on Amazon ECS or Amazon EKS, this gateway provides a SINGLE control point for any LiteLLM-compatible provider such as Bedrock, OpenAI, or Anthropic. Route requests to the right model regardless of where it's hosted - AWS or non-AWS. ━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗵𝗮𝘁 𝗜 𝗹𝗶𝗸𝗲 𝗺𝗼𝘀𝘁 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗶𝘀: • Web-based admin UI for day-to-day management without touching CloudWatch • Budget controls with spending limits and automated alerts • Load balancing and automatic failover between providers • Prompt caching to reduce duplicate requests and costs ━━━━━━━━━━━━━━━━━━━━━ 𝗤𝘂𝗶𝗰𝗸 𝘀𝗲𝗹𝗳-𝗮𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁: ☐ I can explain my AI costs by team and use case ☐ I know which models process sensitive data ☐ I have audit trails for all AI requests ☐ I can route intelligently between providers based on cost or performance If you didn't check all four boxes, you need this architecture. ━━━━━━━━━━━━━━━━━━━━━ What's blocking you from implementing AI governance - lack of visibility, technical complexity, or organizational alignment? I'd love to hear what challenges you're facing. Drop a comment below. 👇 #GenerativeAI #AWS #AmazonBedrock #AIGovernance #CloudArchitecture #LiteLLM #OpenSource

SAP CPI Integration: SuccessFactors to ADP Imagine you’re running a company where employee data (like new hires, salary changes, or terminations) lives in SuccessFactors (your HR system), but payroll is handled by ADP (your payroll provider). Right now, someone might be manually entering this data twice - once in HR and again in payroll - which is time consuming and risky. SAP CPI (Cloud Platform Integration) acts like a smart middleman that automates this process, ensuring the right data flows securely and accurately between the two systems without human intervention. Here’s how it works: Initial Setup: First, we teach CPI how to talk to both SuccessFactors (using its OData API) and ADP (via API or secure file transfer). We set up authentication so only authorized systems can exchange data. Data Sync: First Load: CPI pulls all active employee records from SuccessFactors, maps the fields (like name, salary, tax info) to ADP’s format, and sends them over. Daily Updates: After the first load, CPI only checks for changes (new hires, terminations, pay adjustments) since the last sync, making the process faster. Error Handling: If something goes wrong (e.g., ADP rejects a record), CPI flags it for review instead of stopping the whole process, and the HR team gets notified. Confirmation: Optionally, CPI can check with ADP to confirm data was received correctly, ensuring nothing gets lost. Why It’s Better: No Manual Work: Eliminates duplicate data entry and human errors. Secure: Sensitive payroll data (like SSNs or bank details) is encrypted. Real-Time: Changes in SuccessFactors (e.g., a promotion) quickly reflect in ADP. Peace of Mind: Alerts and logs help track issues before they disrupt payroll. In short, this integration is like setting up autopilot for employee data - so HR and payroll teams can focus on people, not paperwork.

𝐀𝐖𝐒 𝐈𝐧𝐭𝐞𝐫𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐢𝐬 𝐍𝐨𝐰 𝐆𝐞𝐧𝐞𝐫𝐚𝐥𝐥𝐲 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 — 𝐒𝐢𝐦𝐩𝐥𝐢𝐟𝐲𝐢𝐧𝐠 𝐌𝐮𝐥𝐭𝐢𝐜𝐥𝐨𝐮𝐝 𝐚𝐧𝐝 𝐇𝐲𝐛𝐫𝐢𝐝 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲 Enterprise cloud strategies increasingly span multiple providers—AWS, Google Cloud, Azure, and on-premises. The connectivity layer has been the friction point, requiring manual VPNs and complex orchestration. AWS Interconnect solves this with two capabilities: 𝐀𝐖𝐒 𝐈𝐧𝐭𝐞𝐫𝐜𝐨𝐧𝐧𝐞𝐜𝐭 – 𝐌𝐮𝐥𝐭𝐢𝐜𝐥𝐨𝐮𝐝 Direct Layer 3 connectivity between AWS and Google Cloud (Azure later 2026): • Private, managed connections with dedicated bandwidth • MACsec encryption enabled by default • Multi-facility redundancy • CloudWatch integration for observability • Provisioned in minutes 𝘊𝘶𝘳𝘳𝘦𝘯𝘵 𝘈𝘷𝘢𝘪𝘭𝘢𝘣𝘪𝘭𝘪𝘵𝘺: • US East (N. Virginia) ↔ Google Cloud N. Virginia • US West (N. California) ↔ Google Cloud Los Angeles • US West (Oregon) ↔ Google Cloud Oregon • Europe (London) ↔ Google Cloud London • Europe (Frankfurt) ↔ Google Cloud Frankfurt 𝐀𝐖𝐒 𝐈𝐧𝐭𝐞𝐫𝐜𝐨𝐧𝐧𝐞𝐜𝐭 – 𝐋𝐚𝐬𝐭 𝐌𝐢𝐥𝐞 Managed on-premises to AWS via network providers (Lumen now; AT&T, Megaport coming): • Bandwidth: 1–100 Gbps with dynamic adjustment • 99.99% availability SLA • Four redundant connections across two locations • BGP routing, MACsec, Jumbo Frames pre-configured Currently Available in: US East (N. Virginia) | Additional regions planned 𝐓𝐡𝐞 𝐈𝐦𝐩𝐚𝐜𝐭 Eliminates manual provisioning overhead. Teams can focus on strategy, not infrastructure. Open-sourced specification (Apache 2.0) establishes multicloud connectivity standards. 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 Pricing is capacity-based (hourly). Global deployments should account for cross-region traffic costs. Deep dive: https://lnkd.in/gSbPHyXD #aws #multicloud

New Multicloud Networking Capability Announced! AWS Interconnect – multicloud now integrates natively with Google Cloud Cross-Cloud Interconnect AWS and Google Cloud have officially introduced a managed, private, and secure multicloud connectivity solution, enabling organizations to connect their AWS VPCs with Google Cloud VPCs through a fully managed private network, without the complexity of traditional networking setups (BGP, VLANs, physical routers, etc.). ✅ Key Benefits: • Fully managed private connectivity between AWS & Google Cloud • Encrypted links using MACsec • Built-in high availability with multi-site redundancy • Rapid provisioning in minutes instead of weeks • Integrated with AWS Transit Gateway, Cloud WAN, and Direct Connect • Designed for enterprise-grade multicloud architectures 🌍 Currently Supported Regions (Preview Phase): • AWS & Google Cloud – Northern Virginia (us-east-1) • AWS & Google Cloud – Oregon (us-west-2) • London (eu-west-2) • Frankfurt (eu-central-1) ⚠️ The service is currently in Preview, so it’s ideal for: • Multicloud pilots • Disaster Recovery (DR) testing • Data replication across clouds • Hybrid and distributed analytics workloads 🔗 Official Sources: • AWS Interconnect – Multicloud Overview: https://lnkd.in/dWjnVT7i • AWS Official Documentation: https://lnkd.in/dRzSzbH4 • Google Cloud Cross-Cloud Interconnect Announcement: https://lnkd.in/d4tbbjg7 💡 From a financial services & regulated industry perspective, this announcement is a major step forward in enabling secure, compliant, and scalable multicloud strategies without the traditional networking complexity. #AWS #GoogleCloud #MultiCloud #CloudNetworking #FinTech #CloudArchitecture #HybridCloud #DevOps

Architecture - SAP Agent2Agent (A2A) Interoperability Big news #SAPSapphire! SAP just dropped something big. Agent2Agent (A2A) collaboration is here - powered by SAP + Google + Microsoft + Amazon Web Services (AWS). This means intelligent agents can actually talk to each other across platforms. Solving real business problems. Driving real innovation. 𝗪𝗵𝗮𝘁’𝘀 𝗰𝗼𝗼𝗹𝗲𝗿? The Agent Catalog + Agent Card now speak one language - ORD-compliant. Standardized. Scalable. Enterprise-ready. And yes - Mohawk Industries is already on it. Real use case. Real results. 𝗔2𝗔 isn't just a system. It's a comprehensive architecture that enables seamless connectivity across platforms, empowering intelligent, scalable business solutions. 𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: ✅ 𝗔𝗴𝗲𝗻𝘁 𝗟𝗮𝘆𝗲𝗿 ➞ Agents play a pivotal role in ensuring smooth communication between SAP applications and other platforms. ➞ Integrated through the 𝗝𝗼𝘂𝗹𝗲 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗴𝗲𝗻𝘁 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻, enabling smarter business decisions. ➞ Each agent is trusted, secure, and connects various applications like 𝗦𝗔𝗣 𝗕𝗗𝗖, 𝗦𝗔𝗣 𝗖𝗼𝗻𝗰𝘂𝗿, 𝗦𝗔𝗣 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗙𝗮𝗰𝘁𝗼𝗿𝘀, 𝗮𝗻𝗱 𝗦𝗔𝗣 𝗦/4𝗛𝗔𝗡𝗔. ✅ 𝗢𝗥𝗗 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗼𝗿 & 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗼𝗿 ➞ Serves as the core for managing agent connections. ➞ Facilitates smooth, seamless integration and data flow across different cloud environments. ➞ Ensures efficient communication, integration, and orchestration with platforms like 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗮𝗻𝗱 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱. ✅ 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 ➞ A unified platform for connecting 𝗔𝗪𝗦, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲, and 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 for better scalability and flexibility. ➞ A cloud-agnostic design that ensures your business isn't locked into one specific provider. ➞ Real-time connectivity ensures that data and services are always in sync. ✅ 𝗦𝗲𝗹𝗳 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗧𝗿𝘂𝘀𝘁 ➞ Streamlined process for agent registration, ensuring a hassle-free experience. ➞ Built-in trust protocols to ensure that data is always secure and reliable. ✅ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 ➞ Powered by 𝗦𝗔𝗣 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗜, enabling intelligent decision-making based on real-time data insights. ➞ Helps businesses improve processes, reduce inefficiencies, and drive smarter operations. ➞ Fully integrated with other SAP applications to enhance automation and decision-making. This architecture is more than just a solution; it's a framework built for a future of seamless interoperability. 𝗔2𝗔 ensures that businesses can scale faster, innovate smarter, and connect more securely. Embrace 𝗔2𝗔 𝗜𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 to unlock smarter connections, improved business efficiency, and secure integrations across systems. 🔗 P.S. Bookmark this to see how A2A can transform your enterprise. Save 💾 ➞ React 👍 ➞ Share ♻️   Follow Alok Kumar for all things related to SAP and business innovation

Architecting mission-critical integration solutions over the last 25 years has highlighted exactly what enterprises need when modernizing their infrastructure. To help navigate this shift, I’ve combined and re-mixed several of my past sessions and videos into a new comprehensie video titled: Azure Integration Services Masterclass with Logic Apps & Service Bus. This 3.5-hour deep dive explores how to leverage the Microsoft Azure ecosystem for robust, enterprise-grade solutions. Whether you are grasping the basics of cloud design or mapping out a complex hybrid migration from BizTalk Server to Azure, this tutorial has you covered. Some of the content is a year or two old, but the concepts are still relevant today. You can use the chapter markers to jump around to content you want to learn about! A quick look at what we tackle: 🔹 Cloud Concepts & Portal Walkthroughs for Integration Architects 🔹 Azure Logic Apps (Consumption vs. Standard, Connectors & Best Practices) 🔹 Enterprise Messaging with Azure Service Bus (Queues, Topics, & DLQs) 🔹 BizTalk 2020 Hybrid Connections & Integration Accounts (B2B, EDI & XML) 🔹 API Management (APIM) Integration Grab a coffee and dive into the full masterclass here: https://lnkd.in/dXC5-46V #Azure #AzureIntegrationServices #LogicApps #ServiceBus #BizTalk #CloudArchitecture #MicrosoftAzure #EnterpriseIntegration #LogicAppsAviators

A Terraform provider is a plugin that enables Terraform to interact with APIs and services from different platforms—such as cloud providers, SaaS vendors, or internal infrastructure systems. In simple terms: A provider is like a translator between Terraform and the system you’re managing (e.g., AWS, Azure, GitHub, Kubernetes). ⸻ Key Functions of a Terraform Provider: • Defines resources and data sources for a platform (e.g., aws_instance, azurerm_virtual_machine, google_compute_instance). • Handles authentication and API calls to interact with the service. • Enables Terraform to provision, update, or delete infrastructure through code. ⸻ Examples: • hashicorp/aws — for managing AWS resources. • hashicorp/azurerm — for managing Microsoft Azure. • hashicorp/google — for managing Google Cloud. • datadog/datadog — for managing Datadog monitors, dashboards, etc. • kubernetes — for managing Kubernetes objects. ⸻ How It’s Used in Code: provider "aws" { region = "us-west-2" } resource "aws_instance" "web" { ami = "ami-0c55b159cbfafe1f0" instance_type = "t2.micro" } In this example, the aws provider tells Terraform how to connect to AWS and provision an EC2 instance.

Here's a breakdown of the differences between the #SAP Cloud Connector and direct API integration: SAP Cloud Connector   Purpose: The SAP Cloud Connector acts as a secure tunnel between your on-premise SAP systems and the SAP Business Technology Platform (BTP). It allows cloud applications on BTP to access data and services in your on-premise landscape without opening up your firewall to inbound connections.   How it Works:     It's installed in your on-premise network.     It establishes an outbound connection to BTP.     It uses a reverse invoke proxy to allow BTP applications to call on-premise resources.     It provides fine-grained access control, allowing you to specify which on-premise systems and resources are accessible from the cloud.   Key Features:     Security: No inbound firewall rules required.     Simplified Connectivity: Easy configuration and management.     Centralized Access Control: Manage access to on-premise systems from a central location.     Protocol Support: Supports various protocols like RFC, HTTP, and TCP. Direct API Integration   Purpose: Direct API integration involves establishing a direct connection between a cloud application and your on-premise SAP system using APIs (Application Programming Interfaces). This typically involves exposing APIs on your on-premise system and making them accessible over the internet.   How it Works:     APIs are exposed on your on-premise SAP system (e.g., using OData services or RFC-enabled function modules).     These APIs are made accessible via a gateway or API management platform.     Cloud applications consume these APIs using standard protocols like HTTP/HTTPS.   Key Features:     Real-time Integration: Enables real-time data exchange between cloud and on-premise systems.     Flexibility: Allows for more granular control over data exchange and application logic.     Standard Protocols: Uses widely adopted protocols, making it easier to integrate with various cloud applications. When to Use Which?   SAP Cloud Connector: Best suited for scenarios where security is paramount, and you want to avoid opening up your firewall. It's ideal for extending on-premise functionality to the cloud and accessing on-premise data from cloud applications.   Direct API Integration: Best suited for scenarios requiring real-time integration, granular control over data exchange, and integration with third-party applications or mobile apps. In many cases, organizations use a combination of both approaches depending on the specific integration requirements. The SAP Cloud Connector provides a secure foundation for hybrid landscapes, while direct API integration offers flexibility and real-time capabilities for specific use cases.

𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 𝘄𝗶𝘁𝗵 𝗟𝗲𝗴𝗮𝗰𝘆 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗙𝗶𝗲𝗹𝗱 In a recent engagement with a large financial services company, the goal was ambitious: 𝗺𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗼𝗳 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝘁𝗼 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗮 𝗰𝘂𝘁𝘁𝗶𝗻𝗴-𝗲𝗱𝗴𝗲 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. 𝙏𝙝𝙚 𝙘𝙖𝙩𝙘𝙝? Much of the critical functionality resided on mainframes—reliable but inflexible systems deeply embedded in their operations. They needed to innovate without sacrificing the stability of their legacy infrastructure. Many organizations face this challenge as they 𝗯𝗮𝗹𝗮𝗻𝗰𝗲 𝗺𝗼𝗱𝗲𝗿𝗻 𝗰𝗹𝗼𝘂𝗱-𝗻𝗮𝘁𝗶𝘃𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 𝘄𝗶𝘁𝗵 𝗹𝗲𝗴𝗮𝗰𝘆 systems. While cloud-native solutions promise scalability and agility, legacy systems remain indispensable for core processes. Successfully integrating these two requires overcoming issues like 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲, 𝗰𝗼𝗻𝘁𝗿𝗼𝗹, and 𝗰𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗴𝗮𝗽𝘀. Drawing from that experience and others, here are 📌 𝟯 𝗯𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 I’ve found valuable when integrating legacy functionality with cloud-based services: 𝟭 | 𝗔𝗱𝗼𝗽𝘁 𝗮 𝗛𝘆𝗯𝗿𝗶𝗱 𝗠𝗼𝗱𝗲𝗹 Transition gradually by adopting hybrid architectures. Retain critical legacy functions on-premises while deploying new features to the cloud, allowing both environments to work in tandem. 𝟮 | 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗔𝗣𝗜𝘀 𝗮𝗻𝗱 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 Use APIs to expose legacy functionality wherever possible and microservices to orchestrate interactions. This approach modernizes your interfaces without overhauling the entire system. 𝟯 | 𝗨𝘀𝗲 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗧𝗼𝗼𝗹𝘀 Enterprise architecture tools provide a 𝗵𝗼𝗹𝗶𝘀𝘁𝗶𝗰 𝘃𝗶𝗲𝘄 of your IT landscape, ensuring alignment between cloud and legacy systems. This visibility 𝗵𝗲𝗹𝗽𝘀 𝘆𝗼𝘂 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗲 with Product and Leadership to prioritize initiatives and avoid redundancies. Integrating cloud-native architectures with legacy systems isn’t just a technical task—it’s a strategic journey. With the right approach, organizations can unlock innovation while preserving the strengths of their existing infrastructure. _ 👍 Like if you enjoyed this. ♻️ Repost for your network.  ➕ Follow @Kevin Donovan 🔔 _ 🚀 Join Architects' Hub!  Sign up for our newsletter. Connect with a community that gets it. Improve skills, meet peers, and elevate your career! Subscribe 👉 https://lnkd.in/dgmQqfu2 Photo by Raphaël Biscaldi  #CloudNative #LegacySystems #EnterpriseArchitecture #HybridIntegration #APIs #DigitalTransformation

3 of the 5 largest providers, together... hand in hand? 🫣 Oracle seals partnerships with Azure and AWS. For what exactly? Let's take a closer look. 🔴 Oracle Cloud x Amazon Web Services (AWS) 🟠 Oracle is preparing its entry into the cloud leader's platform by making its databases and Exadata directly accessible in AWS. Note that the service will be more widely deployed in 2025. The promises? Optimized connection between Oracle databases and AWS applications, simplified billing via AWS Marketplace, and most importantly, native integration with AWS analytics and AI services, notably Bedrock. No more juggling between different platforms! On the other side. 🔴 ORACLE x Microsoft Azure 🔵 The partnership with Microsoft is already well-established. Oracle database services run directly in Azure datacenters, offering minimal latency and deep integration with Microsoft services, notably Azure OpenAI. 💡What's the common thread between these two alliances? A desire to simplify business operations with unified support and a seamless experience. Oracle recognizes that multicloud has become the norm and is adapting to customer needs. ❤️ The feedback would be positive ↪️ Major groups welcome these initiatives that allow them to deploy their strategic workloads more efficiently. Is #multicloud becoming... simple? 🤔