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Introduction to Azure Serverless Web App Architecture

Serverless architectures provide a powerful, scalable, and cost-effective approach for deploying web applications. This post walks you through the...

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Scaling Kafka Log Processing on AWS with EKS, SageMaker, and DynamoDB

Scaling a log processing pipeline to handle high-throughput, low-latency log streams is crucial for real-time data analysis and anomaly detection. AWS...

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Visualizing Kafka Log Data with Amazon QuickSight

In today’s data-driven world, visualizing log data and anomaly detection results is a must for gaining real-time insights into system performance,...

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Best Practices for Managing Azure Kubernetes Service (AKS) Deployments

Effective management of AKS deployments ensures reliable, secure, and efficient operations. By adhering to best practices, organizations can optimize...

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Using DynamoDB for Storing and Querying Kafka Log Data

Amazon DynamoDB is a fully managed NoSQL database service that provides high availability, scalability, and low-latency performance, making it an...

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Advanced Scaling Solutions for AKS

Scaling is a fundamental aspect of managing applications in AKS. It ensures that applications can handle varying loads efficiently while optimizing...

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Understanding Deployment Strategies in Azure Kubernetes Service (AKS)

Deployment strategies are the foundation for maintaining application performance and stability in Azure Kubernetes Service (AKS). Choosing the right...

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Lambda Functions for Processing Kafka Logs in AWS

AWS Lambda plays a pivotal role in serverless architectures, particularly for real-time data processing. It enables you to run code without provisioning...

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Implementing Continuous Deployment (CD) with Azure DevOps

CD is a crucial practice in modern software development that extends the principles of Continuous Integration (CI) to automate application deployment. By...

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