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Understand how DBS Bank, a leading financial service group in Singapore, used the Amazon Web Services (AWS) to build a scalable serverless compute grid, which they then put to work to price exotic option trades. DBS Bank used a variety of AWS storage devices and a grid set up to run its trading software for the entire company. See how they use the AWS service along with dynamo DB and elastic search to run their scalable serverless compute grid. Contact Dace IT℠with Sense Traffic Pulse™ today to find out more about what AWS can mean for you.

How did a leading fintech company achieve seamless data resilience and cost optimization on Amazon Web Services (AWS)? Discover how Innova Loop designed an innovative disaster recovery solution using Amazon Web Services (AWS) technologies. Our strategic approach ensured enhanced data availability, real-time notifications, and significant cost savings. Curious about the details? ✅ Read the full case study below to see how we did it! #CloudSolutions #DisasterRecovery #AWS #InnovaLoop #CaseStudy

Edge computing refers to the practice of processing and storing data near the source of data generation, rather than relying solely on a centralized data processing warehouse or cloud service. This approach reduces latency, improves efficiency, and enhances data security for applications that require real-time or near-real-time processing. #StoringData #EdgeComputing #Application #StartUp

Azure Storage Services #2 Azure Managed Cluster (Azure Kubernetes Service - AKS): 1. Purpose: Primarily used for deploying and managing containers via Kubernetes, supporting High Performance Computing (HPC), AI, and Machine Learning (ML) workloads. 2. Pay-as-you-go: Azure Managed Cluster is offered as a pay-as-you-go service, where you only pay for the compute and resources used. 3. Massive Parallel Processing: Ideal for workloads requiring massive parallel processing, such as big data analytics and simulations. 4. Auto-scaling: Automatically scales up or down based on the needs of the workload. Use case: Suitable for scenarios where there is a requirement to manage multiple containers, scale compute resources dynamically, or orchestrate complex workloads in a distributed environment. Azure Confidential Ledger: 1. Purpose: Provides a decentralized, tamper-proof, and immutable ledger to securely store sensitive data. This service ensures transparency and integrity, especially useful for audit trails and compliance. 2. Blockchain and Data Sharing: Useful in managing decentralized ledgers, including blockchain data, for securely sharing data among trusted participants. Confidential Computing: Leverages Azure Confidential Computing for secure, trusted execution environments, ensuring that even the cloud provider cannot access the data. 3. Ideal for: Scenarios requiring high levels of data integrity, trust, and security, such as financial audits, supply chain tracking, or government registries.    Azure HPC Cache: 1. Purpose: Provides high-performance caching for large datasets used in HPC workloads. It reduces latency by bringing frequently accessed data closer to the compute resources. 2. Cloud Service: Contrary to the original statement, Azure HPC Cache is a cloud-based service, although it can connect to on-premises data sources like NAS or other storage solutions. 3. Data Access Optimization: Optimizes data access across hybrid environments (on-premises and cloud) by caching data closer to the compute. 4. Use Case: Ideal for industries such as genomics, oil and gas, media, and entertainment, where large data sets need to be processed with minimal latency. #AzureServices #DataEngineering #MicrosoftAzure #BigData

Understand how DBS Bank, a leading financial service group in Singapore, used the Amazon Web Services (AWS) to build a scalable serverless compute grid, which they then put to work to price exotic option trades. DBS Bank used a variety of AWS storage devices and a grid set up to run its trading software for the entire company. See how they use the AWS service along with dynamo DB and elastic search to run their scalable serverless compute grid. Contact Reliable Integration LLC today to find out more about what AWS can mean for you.

Building a Bank for the Future: Trust Bank's Innovation Engine - AWS Unveiling the architecture behind Trust Bank's remarkable scalability and resilience. With a goal to deliver a superior customer experience, Trust Bank leveraged Amazon EKS for unmatched agility and reliability. This managed Kubernetes service empowers Trust Bank to run workloads across multiple Availability Zones, ensuring seamless operation even during disruptions. Additionally, automated scaling ensures the bank can handle peak demands effortlessly. Learn more about the future-proof architecture powering Trust Bank's success. More about this topic on AWS official site. And if you want to find out more about cloud cost optimization visit https://umbrelly.cloud/

Cloud computing giants like AWS are revolutionizing how businesses operate. But will they render mainframes obsolete? The answer is likely NO!. 👉  Mainframes Still Reign Supreme for Core Functions: Mainframes excel at high-volume transactions and secure data storage – crucial for banks, financial institutions, and large enterprises. Their reliability and security are unmatched for these critical tasks. 👉   AWS Targets Modernization, Not Replacement: AWS offers migration and modernization services to help businesses move existing mainframe applications to the cloud while preserving functionality. This extends their lifespan and unlocks new cloud-based capabilities. 👉   AI Bridges the Gap: AI can automate tasks on both mainframes and cloud systems. It can also analyze data from both sources, creating a more unified and efficient ecosystem. The future looks more like collaboration than competition. Mainframes will likely remain central for core functions, while cloud platforms like AWS handle other tasks and facilitate data exchange. AI will act as the glue, automating processes and optimizing workflows across both systems. What are your thoughts on the future of mainframes and cloud computing? Share your insights in the comments below! 💁♀️ #innovation #Networking #Mainframes #social #digital

Calling all Chicago tech leaders in the financial sector 📢 Join Google Cloud, Apex Fintech Solutions, and 66degrees for an in-person solution demo exploring how Alloy DB can revolutionize your trading operations. Here's what you can expect: • Discover more about Alloy DB, A next-generation, fully managed PostgreSQL database built for speed and scalability. • Learn how Apex Fintech achieved a 50% improvement in margin calculations with Alloy DB. • Gain valuable knowledge from industry leaders and 66degrees experts on how to evaluate your database workloads for Alloy DB • Connect with fellow Chicago tech professionals and explore the future of finance. RSVP to secure your spot: https://buff.ly/3XiXOrU Google Cloud Partners

🚀 **Top 10 Innovations in Cloud Computing** 🌥️ 1️⃣ Serverless Computing: Simplifies development and reduces costs.     👉 *Example:* AWS Lambda allows code execution without server management. 🖥️ 2️⃣ Hybrid Cloud Solutions: Combines private & public clouds for flexibility.     👉 *Example:* Microsoft Azure Arc unifies management across environments. 3️⃣ AI & ML Integration: Enhances data analysis & task automation.     👉 *Example:* Google Cloud AI's AutoML for easy custom model building. 4️⃣ Edge Computing: Reduces latency by processing data closer to the source.     👉 *Example:* AWS Greengrass for local data action. 5️⃣ Multi-Cloud Management Tools: Optimize costs & avoid vendor lock-in.     👉 *Example:* VMware CloudHealth manages multi-cloud environments. 6️⃣ **Better Cloud Security**: Advanced threat protection & encryption.     👉 *Example:* Microsoft Azure Security Center safeguards hybrid workloads. 7️⃣ Kubernetes & Containerization*: Automates app deployment & scaling.     👉 *Example:* Google Kubernetes Engine (GKE) for containerized apps. 8️⃣ **Cloud-Based Development Environments**: Streamlined coding in the cloud.     👉 *Example:* AWS Cloud9 for browser-based IDEs. 9️⃣ **Quantum Computing as a Service**: Supercharges computations.     👉 Example: IBM Quantum Platform for cloud-based quantum experiments. 🔟 Blockchain as a Service: Secure & transparent transaction records.     👉 *Example:* Microsoft Azure Blockchain Service simplifies blockchain management. 🔗 #cloudcomputing #innovation #technology #serverless #hybridCloud #AI #machinelearning #edgecomputing #multicloud