Feature Owner: The Key to Improving Team Agility and Employee Development

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This article introduces an idea to address challenges by introducing or expanding the role of a Feature Owner in an organization. Read all

Unit Integration Testing With Testcontainers Docker Compose

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Is your test dependent on multiple other applications? Do you want to create an integration test using Testcontainers? Learn about the Docker Compose Module. Read all

Redefining Artifact Storage: Preparing for Tomorrow's Binary Management Needs

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Next-gen artifact storage must be vendor-neutral, scalable, and flexible to avoid lock-in and support future innovation. Read all

MLOps: How to Build a Toolkit to Boost AI Project Performance

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AI projects could end up among the 90% that fail due to common implementation pitfalls. Here, learn how to change the game with the right MLOps tools. Read all

How to Create and Run A Job In Jenkins Using Jenkins Freestyle Project

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Learn how to create a job in Jenkins, build jobs, and pipeline projects. Explore the Jenkins Freestyle Project, and combine any SCM with any build system. Read all

Cross-Platform Integration: Enabling Seamless Workflow Between AI, Microservices, and Azure Cloud

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Cross-platform integration of AI, microservices, and Azure Cloud is essential for businesses looking for innovative IT solutions. Read all

7 Essential Tips for a Production ClickHouse Cluster

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To set up a production cluster, use multiple replicas, allocate sufficient RAM, choose the right table engine, and limit the primary key to three columns. Read all

Use AWS Generative AI CDK Constructs To Speed up App Development

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In this blog, we will use the AWS Generative AI Constructs Library to deploy a complete RAG application using multiple components. Read all

Developer Git Commit Hygiene

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This article will demonstrate good developer Git commit hygiene as well as educate the developer audience to use short and frequent commits. Read all

Using AWS Data Lake and S3 With SQL Server: A Detailed Guide With Research Paper Dataset Example

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The integration of AWS Data Lake and Amazon S3 with SQL Server provides the ability to store data at any scale and leverage advanced analytics capabilities. Read all

 

 

 

 

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