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Cutting Costs, Not Corners: Building Large Scale Applications with Open Source Software

Open Source For You

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September 2024

Here are some strategies and best practices for leveraging open source to create enterprise-grade web and mobile applications without sacrificing quality or functionality.

- Bala Kalavala

Cutting Costs, Not Corners: Building Large Scale Applications with Open Source Software

In the fast-paced world of enterprise software development, the demand to deliver top-notch applications under tight deadlines is intense. Striking a balance between innovation and budget constraints can be overwhelming. Open source software has emerged as a potent solution, empowering large enterprises to construct resilient, scalable applications while significantly trimming costs.

The successful adoption of open source in an enterprise setting requires a strategic approach and adherence to best practices. The architecture layer categories — frontend frameworks, backend frameworks/ languages, databases, web servers, cloud infrastructure/containerisation and DevOps tools — represent the essential building blocks for creating modern, scalable, and highperforming enterprise web and mobile applications. Each category plays a crucial role in the overall architecture and functionality of the application.

Frontend frameworks

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NeoNephos expands its open source cloud ecosystem with new members

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Meta's Manus AI allows users to operate its agents through Telegram

The rise of OpenClaw is reshaping the AI agent market, compelling closed platforms to mirror features first popularised in the open source community. The latest example: Manus AI has introduced Telegrambased mobile control, a capability long central to OpenClaw's messaging-first approach.

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China's DeepSeek has more than 75 million downloads on Hugging Face

Chinese AI lab DeepSeek is turning open source momentum into hardware leverage, with more than 75 million downloads of its models on Hugging Face helping Chinese AI releases surpass every other country on the platform.

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Fractal's LLM Studio will help build domain-specific AI models

Fractal Analytics has launched LLM Studio, an enterprise platform designed to build, evaluate, and operate domain-specific language models using open source foundations, marking a shift away from closed, API-led AI approaches.

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Monitoring Machine Learning in Production

Discover the concepts of drift and data skew, and explore online monitoring techniques that keep your machine learning model relevant.

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Managing Multi-Cloud Infrastructure: The Way Forward

Kubernetes and open source control planes make multi-cloud operations easier and help organisations build scalable and cloudagnostic infrastructure platforms.

time to read

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