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What is Private Cloud Architecture: Complete Overview

OTS Solutions

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

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How an architecture-led transformation puts the customer first

CIO

With this in mind, we embarked on a digital transformation that enables us to better meet customer needs now and in the future by adopting a lightweight, microservices architecture. We found that being architecturally led elevates the customer and their needs so we can design the right solution for the right problem.

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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Predictive analytics : AI can leverage historical data to predict usage trends, identify potential bottlenecks, and offer proactive solutions for enhancing the scalability and reliability of APIs and microservices.

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Achieve scalable cyber resiliency in the cloud during an age of exponential data growth

CIO

Organizations need data resilience to ensure business continuity. AWS’s scale, redundant architecture and durability enables IT to failover applications and replicate data to locations throughout the world, which increases uptime, performance and business continuity.

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Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

We are excited to be joined by a leading expert who has helped many organizations get started on their cloud native journey. Of course, the key as a senior leader is to understand what your organization needs, your application requirements, and to make choices that leverage the benefits of the right approach that fits the situation.

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Big Data Realtime Data Pipeline Architecture

Dzone - DevOps

To efficiently process and analyze this vast amount of data, organizations need a robust and scalable architecture. Companies across various industries rely on big data analytics to gain valuable insights and make informed business decisions.

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Data Architecture and Strategy in the AI Era

Cloudera

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges. But that doesn’t mean it’s all smooth sailing for organizations putting AI into practice.