Multi-cloud Strategy Implementation

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Summary

A multi-cloud strategy implementation means setting up and managing your technology across more than one cloud provider, like AWS and Azure, instead of relying on just one. This approach helps businesses boost reliability, flexibility, and security while reducing risks tied to being dependent on a single provider.

  • Streamline operations: Build common processes for security, monitoring, and data management that work across all your cloud platforms to cut down on complexity and avoid duplication.
  • Embrace automation: Use tools that allow you to manage resources from different clouds with a single interface, making it easier to control and grow your cloud setup.
  • Plan for resilience: Distribute workloads and data between multiple cloud providers so your business can keep running smoothly even if one provider faces an outage or disruption.
Summarized by AI based on LinkedIn member posts
  • View profile for Ankit Jain

    Investment Management & Capital Markets Executive | Technology & Transformation Leader | CTO | Fintech | NED

    6,690 followers

    Is your Cloud and Digital strategy ready for the next evolution? As business leaders strive to maximise ROI from their cloud and digital transformation efforts, a pivotal challenge has emerged: integrating Gen AI into existing strategies. But this is more than a challenge, it’s a unique opportunity to elevate your organisation. Yet, many businesses are hitting roadblocks in their cloud journey, including: 1. Data Management Challenges: As the volume of data grows, organisations struggle to manage and analyse it effectively, limiting their ability to extract actionable insights. 2. Regulatory Complexities: Banking and financial services face regulations such as DORA (Digital Operational Resilience Act), which emphasise the need for robust risk management and resilience planning. 3. Cloud Concentration Risk: Over reliance on a single cloud provider can create vulnerabilities such as potential compliance challenges or increased exposure to systemic risks across providers. 4. High Investment Costs: Initial cloud adoption demands significant financial and time commitments. However, the stakes are high, with cloud computing projected to generate a staggering $3 trillion in EBITDA by 2030. In a digital landscape where Gen AI is a game changer, the cost of inaction is steep. Organisations slow to adapt risk being outpaced by more agile competitors. How can businesses stay ahead of the curve? 1. Integrate Gen AI into Cloud Strategies: Assess current cloud initiatives to identify how Gen AI can add value. Focus on both immediate and future use cases for a sustainable strategy. Studies show that businesses that effectively integrate AI see higher productivity gains and enhanced decision making. 2. Prioritise High Value Applications: Target use cases where Gen AI can deliver the highest ROI. The scalable nature of cloud technology allows businesses to continuously adopt new features and innovations, driving better outcomes in customer support, predictive analytics and personalised services. 3. Enhance Data Governance: Establish robust data governance frameworks to ensure data quality, security and compliance. This enables organisations to leverage AI driven insights while adhering to evolving regulatory requirements like DORA, which emphasises operational resilience. 4. Adopt a Multi-Cloud Strategy: Mitigate cloud concentration risk by diversifying cloud providers, reducing dependency on a single provider and optimising performance. A multi-cloud approach ensures greater flexibility and resilience, especially for meeting regulatory expectations and handling data sovereignty requirements. By aligning cloud and digital transformation efforts with Gen AI, businesses can not only avoid falling behind but also unlock new avenues for growth and innovation. In this era of digital acceleration, embracing change isn’t optional, it’s essential. Thoughts? #Banking #AssetManagement #DigitalTransformation #GenerativeAI

  • View profile for Igor Iric

    AI Advisor | Digitalization Leader | Packt Author | Cloud Architect

    26,326 followers

    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

  • View profile for Sean Connelly🦉
    Sean Connelly🦉 Sean Connelly🦉 is an Influencer

    Zscaler | Fmr CISA - Zero Trust Director & TIC Program Manager | NIST 800-207 ZTA co-author

    21,787 followers

    🚨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

  • View profile for David Linthicum

    Top 10 Global Cloud & AI Influencer | Enterprise Tech Innovator | Strategic Board & Advisory Member | Trusted Technology Strategy Advisor | 5x Bestselling Author, Educator & Speaker

    191,201 followers

    Key Secrets for Multicloud Success From “An Insider’s Guide to Cloud Computing” With voiceover and commentary by the author. Now that we understand the challenges of deploying and operating a multicloud, and some of the approaches that will likely overcome these challenges, let’s dig deeper into specific approaches to a multicloud deployment that will optimize its use. The goal is to leverage a multicloud deployment using approaches and technologies that minimize risk and cost and maximize the return of value back to the business. Everyone will eventually move to a multicloud deployment, and most have no idea how to do this in an optimized way. In other words, the deployment won’t be successful. Again, the concepts presented in this chapter are perhaps the most important in this book. Applied correctly, they will lead to successful multicloud deployments. Remember that most enterprises won’t increase their operations budget to support a multicloud. The key themes are to not replicate operational services for each cloud provider, which is the way teams typically approach multicloud today. That architecture won’t scale, and you will just make the complexity worse. Eventually, you’ll run into complexity issues such as security misconfigurations that lead to breaches or outages due to systems that aren’t proactively monitored. If these issues go unresolved, chances are good that your multicloud deployment will be considered a failure in the eyes of the business, or more trouble than the cost to deploy it. So, do not replicate operational processes such as security, operations, data integration, governance, and other systems within each cloud. This replication creates excess complexity. Here are some additional basic tenets to follow: Consolidate operationally oriented services so they work across clouds, not within a single cloud. This usually includes operations, security, and governance that you want to span all clouds in your multicloud deployment. Because it can include anything a multicloud leverages, it works across all clouds within a multicloud deployment. Leverage technologies and architectures that support abstraction and automation. This removes most of the complexity by abstracting native cloud resources and services to view and manage those services via common mechanisms. For instance, there should be one way to view cloud storage that could map down to 20–25 different native instances of cloud storage. Because humans do not need to deal with differences in native cross-cloud operations (security, governance, and so on), abstraction and automation avoid excess complexity. Isolate volatility to accommodate growth and changes, such as adding and removing public cloud providers, or adding and removing specific services. When possible, place volatility into a configurable domain (see Figure 6-10) where major or minor clouds and cloud services can be added or …

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