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Amazon Q in AWS Supply Chain: A Game-Changer for Supply Chain Management

AWS has announced Amazon Q in AWS Supply Chain, an interactive generative AI (GenAI) assistant designed to transform the way businesses manage their supply chains. This release has the potential to be one of the most impactful AWS updates of October, providing real-time insights and simplifying the decision-making process for logistics, inventory, and operations teams. […]

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Mastering Branching Strategies in Git for a Seamless Development Workflow

In any development team, deciding on a branching strategy is critical to maintaining a smooth workflow and avoiding potential issues down the line. A well-defined branching strategy allows teams to organize their work, manage multiple features in parallel, and handle urgent fixes without disrupting the production environment. Let’s explore how you can use Git to

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Why AWS Credits and Access to Amazon Solution Architects Aren’t Enough for Startups

With Amazon Web Services (AWS) leading the charge in cloud computing, many startups are offered credits as part of acceleration programs, providing significant initial cost relief. Often, startups are also given access to AWS solution architects—professionals who understand the platform inside and out and can help shape your cloud infrastructure. However, while these resources are

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DevOps: A Cultural Shift for Faster, Better Software Delivery

DevOps is a culture, a set of practices, and a philosophy that aims to improve the delivery of applications. It focuses on bridging the gap between development and operations teams to create a more efficient and collaborative workflow. Let’s explore its key elements and reasons for its rise, and why DevOps goes beyond simply speeding

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Cost Optimization in AWS DynamoDB: Choosing the Right Capacity Mode

Amazon DynamoDB stands out as a scalable and flexible service that requires minimal infrastructure management. However, to optimize costs, understanding the capacity modes of DynamoDB and selecting the right one for your workload is essential. This article breaks down the two capacity modes available in DynamoDB and offers strategies for making informed decisions based on

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Optimizing AWS Lambda Costs: A Guide to Efficient Serverless Architectures

AWS Lambda is a popular serverless computing service from Amazon Web Services (AWS), enabling developers to run code without managing servers. While Lambda’s pricing model is straightforward, optimizing for cost efficiency requires careful planning. This guide provides insights into AWS Lambda’s cost structure, strategies for cost optimization, and highlights key tools and trade-offs to help

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Implementing zkLogin and On-Chain Points with SUI Blockchain

In a recent project, we worked on the integration of the SUI blockchain, an emerging but promising technology, to enhance our solution. This post quickly dives into how we adopted SUI blockchain, its unique features, and the benefits it brought to our project. Our focus was on two key objectives: implementing zkLogin for secure user registration

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ZirconTech’s Journey in Europe A Legacy of Innovation

ZirconTech: Leading the Blockchain and Technology Revolution in Europe Since its founding, ZirconTech has consistently led the way in blockchain and technology innovations across Europe. Our mission from the start was to leverage the transformative potential of blockchain and cutting-edge technologies to redefine industries and forge significant, enduring impacts. As we reflect on our journey,

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How to clear confusion Over OpenAI API’s ‘ChatCompletion’ Attribute

Understanding OpenAI API Errors and Solutions Developers integrating OpenAI’s GPT-4 and 3.5-turbo models into their applications have encountered a common error: the API module seemingly lacking the ‘ChatCompletion’ attribute. This confusion arises when attempting to use a method that is either outdated or incorrectly referenced in their code. Common Problem Description The error typically appears

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Simplifying ML Model Deployment with Amazon SageMaker Studio

Amazon SageMaker is redefining the ease of deploying machine learning (ML) models, catering to a broad spectrum of needs from playground testing to optimizing production deployments. This article combines insights from two key posts on the AWS Machine Learning Blog – “Package and Deploy Classical ML and LLMs Easily with Amazon SageMaker, Part 1 &

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