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Will Serverless Kill the DevOps Star?

Modus Create

A very real example of Digital Transformation causing a massive shift in culture and business. Developers have plenty of choices for their serverless solutions today: AWS Lambda, Google Cloud Functions, Microsoft Azure Functions and Cloudflare Workers. For this post, we’ll mainly focus on AWS Lambda.

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Fundamentals of Data Engineering

Xebia

The data engineer is also expected to create agile data architectures that evolve as new trends emerge. Understand the cultural foundations of Agile, DevOps, and DataOps. Kappa Architecture (2014) The Kappa Architecture was proposed as a response to the shortcomings of the Lambda architecture.

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Growing digital product development trends in 2023

Modus Create

All major cloud providers (AWS, Azure, Google Cloud) provide serverless options, with AWS Lambda being the most popular serverless computing platform. Therefore it’s vital to seek expert guidance and invest time in learning how micro frontends will alter your product development culture before you begin the transition.

Trends 98
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Digital Transformation Business Case Powered by Remote Nearshore Model

iTexico

Through Agile methodologies and teaming, our adaptive teams always stay focused to deliver on time and budget. The five "C"s of Nearshore+ being Convenience to team and collaborate, Capacity for access to talent, Cultural alignment, Community for tech, and Cost-Competitiveness. How does it help?

Lambda 52
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Understanding Multi-tenancy, the Keystone of SaaS

CloudGeometry

One customer might be using 100% of their tenant resources, while another customer’s tenant resources sit idle; hence, the model offers limited scalability and reduced agility. On the other hand, the cost profile, access patterns, and agility of another microservice may necessitate using a Pool model.

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Green Tech Best Practices

Apiumhub

Lately, the Green Software Foundation unveiled a manifesto to reshape the software development culture within the tech industry. Consider serverless architectures like AWS Lambda or Azure Functions, which can automatically scale to match the workload, reducing idle resource consumption. Serverless Computing.

Energy 79
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Question the Current Dogma — Is Kubernetes Hyper-Scale Necessary for Everyone?

Stackery

Moving to Kubernetes and containers is about de-coupling applications and making them more agile. It puts more power and control into the hands of developers than ever before, and requires not only a complete shift in your technology stack, but also in the culture of the organization and development process.