Multi-Cloud Management Techniques

How do you manage multi cloud Apps? Multi-cloud architecture aim to maximize performance, flexibility, and reliability, from multiple cloud platforms. This architecture combines Azure and AWS to handle workloads across platforms maintaining resilience and scalability. Traffic Distribution - Requests from Mobile Applications and User Applications are routed through a central load balancer. - 50% of traffic is directed to AWS through Route 53. - 50% of traffic is directed to Azure through Azure Front Door. AWS Architecture - AWS API Gateway manages incoming requests and directs them to services hosted as AWS Lambda functions. These include: - Cart Service handles shopping cart operations. - Order Service processes orders. - Inventory Service manages inventory data. Supporting services: - SQS for message queuing. - Amazon RDS for relational database storage. - SNS for notifications. - CloudWatch provides monitoring and logging capabilities. - Security with AWS Key Management Services (KMS), IAM, and firewalls. Azure Architecture - Azure API Management processes requests and routes them to Azure Functions for: - Cart Service similar operations as in AWS. - Order Service order processing tasks. - Inventory Service inventory management. Supporting services: - Azure Service Bus for messaging. - Azure Cosmos DB for NoSQL data. - Notification Hub for user notifications. - Monitoring tools like Azure Monitor, Log Analytics, and Application Insights provide insights into the system's health. - Security is managed with Azure Key Vault, Azure Firewall, and Entra ID for identity management. Why Multi-Cloud? - Use strengths of both AWS and Azure for optimal performance. - Distribute traffic across clouds for higher availability. - Both platforms handle peak loads efficiently. - Avoid dependency on a single provider. This kind of Azure AWS Multi-Cloud Architecture allows organizations to build robust, scalable, and resilient systems, combining the capabilities of the two leading cloud providers. Are you exploring a multi-cloud strategy? Share your thoughts below! #Azure #AWS #MultiCloud #CloudComputing #Architecture #Scalability #SoftwareEngineering

A few months ago, I was juggling Terraform deployments on AWS and Azure across dev, test, and prod environments. As the project grew, managing separate states, avoiding drift, and keeping the code clean became a real challenge. This happens when you handle multi-cloud and multi-environment code without a proper configuration structure. Messy state files, deployment errors, and overwritten environments can follow. In my latest blog, I share tips to manage multi-cloud (AWS + Azure) and multi-environments (dev, test, prod): • Project structure • Variables & modules • State file • Best practices for running Terraform • Common pitfalls in multi-cloud Terraform 🔗 Find the blog link in the comments. 💬 I would love to know how you are managing your Terraform projects?

🚨NSA Releases Guidance on Hybrid and Multi-Cloud Environments🚨 The National Security Agency (NSA) recently published an important Cybersecurity Information Sheet (CSI): "Account for Complexities Introduced by Hybrid Cloud and Multi-Cloud Environments." As organizations increasingly adopt hybrid and multi-cloud strategies to enhance flexibility and scalability, understanding the complexities of these environments is crucial for securing digital assets. This CSI provides a comprehensive overview of the unique challenges presented by hybrid and multi-cloud setups. Key Insights Include: 🛠️ Operational Complexities: Addressing the knowledge and skill gaps that arise from managing diverse cloud environments and the potential for security gaps due to operational siloes. 🔗 Network Protections: Implementing Zero Trust principles to minimize data flows and secure communications across cloud environments. 🔑 Identity and Access Management (IAM): Ensuring robust identity management and access control across cloud platforms, adhering to the principle of least privilege. 📊 Logging and Monitoring: Centralizing log management for improved visibility and threat detection across hybrid and multi-cloud infrastructures. 🚑 Disaster Recovery: Utilizing multi-cloud strategies to ensure redundancy and resilience, facilitating rapid recovery from outages or cyber incidents. 📜 Compliance: Applying policy as code to ensure uniform security and compliance practices across all cloud environments. The guide also emphasizes the strategic use of Infrastructure as Code (IaC) to streamline cloud deployments and the importance of continuous education to keep pace with evolving cloud technologies. As organizations navigate the complexities of hybrid and multi-cloud strategies, this CSI provides valuable insights into securing cloud infrastructures against the backdrop of increasing cyber threats. Embracing these practices not only fortifies defenses but also ensures a scalable, compliant, and efficient cloud ecosystem. Read NSA's full guidance here: https://lnkd.in/eFfCSq5R #cybersecurity #innovation #ZeroTrust #cloudcomputing #programming #future #bigdata #softwareengineering

“Why do 74% of enterprises call multi-cloud ‘cost-effective’… while burning $2.8M/year on stealth overhead? A SaaS client bragged about their “optimized” AWS/Azure split – until a consulting partner traced 19% of their cloud bill to phantom workloads running solely to sync data across platforms. Their architects were too busy firefighting API conflicts to notice. The dirty secret nobody admits: Multi-cloud’s real cost isn’t in storage or compute. It’s the operational schizophrenia – your team writing Azure logic apps to fix AWS S3 quirks, while GCP tools sit idle. You’re paying engineers to build glue code, not solutions. Stop playing whack-a-mole: 1. Map every workflow that touches >1 cloud this quarter. 2. Calculate the time tax – if 30% of sprint cycles go to cross-platform patches, you’re not “agile.” You’re subsidizing complexity. The fix isn’t consolidation. It’s ruthless prioritization: Kill any multi-cloud dependency that doesn’t directly prevent existential risk (like regional outages). For the rest? Mandate asymmetric ownership – one team controls all cross-cloud logic, with veto power to sunset redundant services. So – does your “cloud strategy” actually need 3 providers… or just 3 slides in a vendor’s PowerPoint deck?”

The Google Cloud Wake-Up Call: Why Your Business Needs Multi-Cloud Redundancy Just hours ago, a stark reminder arrived in our inboxes, on our screens, and in our disrupted workflows. Today’s massive Google Cloud outage didn’t just take down Google services. It cascaded across the digital ecosystem, disrupting Spotify, Discord, OpenAI, Shopify, GitHub, Twitch, and dozens of other platforms that millions of users and businesses depend on daily. The outage peaked with over 14,000 reports on Downdetector, affecting everything from video calls to document collaboration to AI applications. The Domino Effect Was Swift and Brutal When Google Cloud stumbled at 1:50 PM ET, it exposed a uncomfortable truth: our interconnected digital world has single points of failure that can bring entire business operations to their knees. Companies that had built their entire infrastructure around Google’s “reliable” cloud found themselves helpless, watching revenue streams halt and customer trust erode in real-time. The Real Cost of Putting All Eggs in One Basket While Google resolved the core issues within hours, the damage extends far beyond the immediate downtime. Consider the ripple effects: lost sales during peak business hours, missed meetings with critical clients, halted development deployments, and the immeasurable cost of explaining to customers why your “cloud-first” service suddenly went dark. Multi-Cloud Isn’t Paranoia—It’s Business Continuity Smart enterprises are already implementing multi-cloud strategies, not as a luxury but as a necessity. This means architecting core services to seamlessly failover between providers like AWS, Microsoft Azure, and Google Cloud. When one provider experiences issues, traffic automatically routes to healthy alternatives. Your Action Plan Starts Now The question isn’t if another major cloud outage will happen—it’s when. Forward-thinking organizations are already: • Identifying their most critical services and implementing cross-cloud redundancy • Testing failover procedures regularly, not just during disasters • Diversifying their cloud dependencies across multiple providers • Building incident response playbooks that assume their primary cloud will fail Today’s Google outage won’t be the last. But it could be the wake-up call that saves your business from the next one. The companies that learn from today’s disruption and invest in true redundancy will be the ones still serving customers when the next outage hits. The question is: will yours be one of them? What’s your organization’s backup plan when your primary cloud provider goes down? #CloudComputing #BusinessContinuity #MultiCloud #TechStrategy #GoogleCloud #AWS #Azure

𝟯 𝗦𝘁𝗲𝗽𝘀 𝗧𝗼 𝗦𝗲𝘁𝘁𝗶𝗻𝗴 𝗨𝗽 𝗠𝘂𝗹𝘁𝗶-𝗖𝗹𝘂𝗱 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺: Most Terraform repos 𝘤𝘰𝘭𝘭𝘢𝘱𝘴𝘦 the second you add more than one Cloud. Here’s the 3-part structure that keeps 𝐦𝐮𝐥𝐭𝐢-𝐜𝐥𝐨𝐮𝐝 Terraform clean and scalable 👇🏽 1️⃣ 𝐂𝐥𝐨𝐮𝐝-𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐜𝐨𝐝𝐞 ▶ multi-cloud-terraform/ holds separate folders for 𝐀𝐖𝐒 and 𝐀𝐳𝐮𝐫𝐞. ▶ Each has its own 𝐦𝐚𝐢𝐧.𝐭𝐟, 𝐯𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬.𝐭𝐟, and 𝐨𝐮𝐭𝐩𝐮𝐭𝐬.𝐭𝐟. ▶ This keeps the logic for each provider clear and isolated. 2️⃣ 𝐑𝐞𝐮𝐬𝐚𝐛𝐥𝐞 𝐦𝐨𝐝𝐮𝐥𝐞𝐬 ▶ Inside modules/, you define building blocks like: AWS storage Azure compute Shared networking ▶ Write once, use many times. No duplication. 3️⃣ 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐜𝐨𝐧𝐟𝐢𝐠𝐬 ▶ envs/ contains dev, test, and prod. ▶ Each environment has its own backend, variables, and provider files. ▶ Same codebase, different settings, isolated deployments. 𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬: ✅ No duplication across clouds ✅ Teams scale without stepping on each other ✅ Environments stay clean and consistent 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗶𝘀 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹, 𝗯𝘂𝘁 𝗼𝗻𝗹𝘆 𝗶𝗳 𝘆𝗼𝘂 𝗱𝗲𝘀𝗶𝗴𝗻 𝗳𝗼𝗿 𝗴𝗿𝗼𝘄𝘁𝗵. 𝗛𝗼𝘄 𝗵𝗮𝘃𝗲 𝘆𝗼𝘂 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗺𝘂𝗹𝘁𝗶-𝗰𝗹𝗼𝘂𝗱 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀?