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The New Stack

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Backstage Multicluster UI for Cloud Foundry and Kubernetes

Backstage is a developer portal-building framework created by Spotify, which offers extensive capabilities through plugins and can easily integrate with in-house software development tools via its own plugin feature.
Integrating Stratos, an open source multi-cluster UI for Kubernetes, EKS, AKS and GKE, into Backstage via a plugin can centralize infrastructure management in one easy-to-use, streamlined user interface.
Backstage plugins can be separated into two categories: front-end plugins that support a user-interface view, and back-end plugins that support server-side operations.
Creating a Backstage plugin involves starting an app backend and frontend with the yarn start and yarn start-backend commands, and then creating a front-end plugin by incorporating existing templates or building one from scratch.
Integrating Stratos with Backstage involves editing an existing Stratos component file to embed the Stratos interface via an iframe, and tying it back to features of Backstage, such as an existing proxy, to make it all work together.
Deploying Stratos to run locally and leverage back into Backstage via an iframe requires either the use of Backstage's proxying feature or of Nginx for proxying traffic to create an easy-to-build solution.
This set-up highlights the collective, scalable power of Backstage’s plugin ecosystem for platform engineering, providing a single, centralized, unified view of infrastructure that is easy to use and customize.
Stratos is used by notable end-users, such as Comcast and TwentyFive, to manage their Cloud Foundry and Kubernetes environments in a clear and streamlined way.
Integrating Stratos and Backstage is an excellent way to leverage the strengths of both technologies and easily manage multi-cloud infrastructure in an increasingly interconnected data ecosystem.
This set-up is intended for demonstration purposes but highlights Backstage’s powerful capabilities in a multi-plugin ecosystem, particularly when overseeing complex infrastructure across multiple platforms and clouds.

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Medium

197

Image Credit: Medium

How Generative AI Helped Me Improve an Open Source Project.

Generative AI was used to improve an open-source project called Fluent Bit.
Fluent Bit is a lightweight, high-performance log processor and forwarder used in cloud environments.
Initially, a quick patch was suggested, but a more sustainable solution was needed.
Generative AI helped by writing unit tests, guiding through debugging, and the improved code was merged into Fluent Bit.

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Medium

1.1k

Image Credit: Medium

The AI Talent Crisis

The rapid growth of AI has created a severe talent shortage, risking innovation and commercialization.
Demand for AI developers, fueled by startups, tech giants, and enterprises, far exceeds supply, leading to wage inflation, delayed projects, and stifled innovation. Startups struggle as tech giants dominate recruitment with lucrative packages, and enterprises compete across sectors.
The shortage inflates costs, raises failure rates for AI startups, and limits global economic benefits by $0.7–1.5 trillion by 2030. Urgent action is needed from academia, industry, and governments to bridge the gap through education, global talent integration, and open-source initiatives to sustain AI’s transformative impact.

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The New Stack

125

Image Credit: The New Stack

CNCF Sics Developers on Kubernetes Patent Trolls

Kubernetes patent trolls have entered the frame, with Edge Networking Systems demanding licensing fees at the mere mention of Kubernetes on a CV or social media platform.
Collecting patents that have no plan to put said software to use, patent trolls instead generate income for themselves by threatening lawsuits against companies generating software using these patents.
The Linux Foundation, Microsoft, the Open Invention Network and Unified Patents are taking legal action against trolls, seeking to nullify bad patents and find evidence of pre-existing technology, the so-called prior art.
Now the Cloud Native Computing Foundation has launched a similar patent troll bounty programme, the Cloud Native Heroes Challenge, which offers entrants a reward of $3k for providing evidence as to why Edge Networking's '832-B1' patent should be nullified.
Should those entrants find pre-existing technology (prior art) evidence showing the application of the patent being invalid, United Patents will use this to challenge the patent in a court of law.
The initiative is crowd-sourcing prior art to protect the Kubernetes community and opensource projects from patent trolling.
Patent trolls win by sending popular cease and desist letters to a broad range of companies, many of which may not have the assets to fund litigation. A community able to uniformly reject the claims of a patented troll is an effective strategy against them.
The community can provide the prior art research, helping to construct claim charts and putting an end to trolling activity.
In a press conference, Joanna Lee, the CNCF’s VP of Strategic Programs & Legal said 'It’s a two-fold approach. It’s both directly challenging the patents, making the prior art publicly available and then leveraging the power of the community.'
The call is out for the community to leverage its collective knowledge and records to help overcome 823-B1, and banish any future legal cases that use similar patents.

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Arstechnica

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I, too, installed an open source garage door opener, and am loving it

The author installed an OpenGarage unit to control their garage door opener.
They chose OpenGarage because it works with their preferred home automation system, Home Assistant.
The author highlights that their garage opener is now not subject to API access issues.
Genie, the maker of their Wi-Fi-capable garage door opener, has faced integration and licensing issues with Home Assistant.

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Marktechpost

Meet OpenCoder: A Completely Open-Source Code LLM Built on the Transparent Data Process Pipeline and Reproducible Dataset

OpenCoder is an open-source code-specific language model project aimed at addressing the transparency gap through complete transparency and reproducibility in the field.
The project aims to provide researchers with a fully transparent baseline code LLM for studying mechanical interpretability and data distribution patterns and enable customized solutions through detailed model development insights.
OpenCoder's data processing pipeline is centered on RefineCode, a high-quality, reproducible dataset comprising 960 billion tokens across 607 programming languages.
A significant finding indicates that high-quality data becomes increasingly crucial during the annealing phase, and a two-stage instruction tuning approach proves particularly effective for developing broad capabilities followed by code-specific refinements.
The OpenCoder architecture encompasses two model variants: a 1.5 billion parameter model and an 8 billion parameter model.
OpenCoder employs a strategic two-stage instruction-tuning process to develop comprehensive capabilities in both theoretical computer science and practical coding tasks.
OpenCoder sets a new standard for reproducible research in code AI.
The extensive ablation studies conducted across various training phases provide valuable insights for future development, making OpenCoder not just a powerful tool but a foundation for advancing the field of code intelligence.
OpenCoder represents a significant advancement in open-source code language models, achieving performance comparable to proprietary solutions while maintaining complete transparency.
These comprehensive evaluations validate the effectiveness of OpenCoder’s two-stage instruction-tuning approach and its sophisticated architecture.

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Marktechpost

427

Microsoft AI Open Sources TinyTroupe: A New Python Library for LLM-Powered Multiagent Simulation

Microsoft has released TinyTroupe, an experimental Python library designed to allow the simulation of people with specific personalities, interests, and goals.
TinyTroupe is built on top of large language models (LLMs), enabling simulated agents to be more adaptable and responsive to their environment.
This approach allows for more nuanced interactions between agents, helping to capture the nuances of real social environments and emulating individuals with distinct personalities.
The library uses GPT-3.5 as the underlying language model, which gives agents the ability to hold basic conversations, make plans, and respond contextually to changes.
In addition, TinyTroupe allows for decentralized decision-making among agents, which produces emergent behaviours as individual agents pursue their interests and goals while interacting with one another.
TinyTroupe has a wide range of applications, such as virtual social experiments in fields like sociology, economics and urban planning, and the creation of sophisticated non-playable characters in games.
Simulations carried out using this technology could provide valuable insights into group dynamics, while also being significantly easier to run than traditional simulations.
TinyTroupe elevates the potential of multi-agent simulations, making them a valuable tool for researchers and an accessible way for developers to experiment with interactive environments.
With such tools, developers can create more nuanced and complex virtual societies, thereby making machine systems far more empathetic and relatable.
AI technology is evolving and TinyTroupe may play an essential role in researching group dynamics.

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Cloudblog

Image Credit: Cloudblog

How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU

Cloud Run now offers fully managed NVIDIA GPUs, which removes the complexity of driver installations and library configurations.
The guide helps to deploy the Meta Llama 3.2 1B Instruction model on Cloud Run using best practices to streamline your development process.
Cloud Run with GPU offers four critical benefits to developers such as fully managed, on-demand scaling, cost-effective, and NVIDIA GPU-optimized for Meta Llama 3.2.
For local debugging, developers can use TGI Docker image to test and iterate the model before deploying it to Cloud Run.
Deploy the model to Cloud Run with NVIDIA L4 GPU using the deployment script command.
To use Cloud Storage FUSE and reduce the cold start response time, download the model files and upload them to the Cloud Storage bucket and mount the Google Cloud Storage bucket as a file system.
The article also includes instructions to test your deployed model using curl.
The guide provides next steps to learn more about Cloud Run with NVIDIA GPUs and to deploy your own open-source model from Hugging Face.

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Nvidia

441

Image Credit: Nvidia

Open for Development: NVIDIA Works With Cloud-Native Community to Advance AI and ML

NVIDIA is working with the cloud-native community to advance AI and ML.
NVIDIA is a member of the Cloud Native Computing Foundation (CNCF) and contributes to open-source projects.
NVIDIA collaborates with the Kubernetes community to address challenges in managing AI workloads.
NVIDIA's open-source efforts extend beyond Kubernetes to other CNCF projects and critical areas of cloud-native computing.

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Securelist

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Image Credit: Securelist

Сrimeware and financial cyberthreats in 2025

Kaspersky’s Global Research and Analysis Team monitors cyberthreats directed at the financial industry, with banks and fintech companies being the most targeted.
The report outlines notable attack trends expected to face in 2025, based on predictions from the previous year.
The prediction of a surge in cyberattacks leveraging machine learning tools turned out to be true as cyberattacks boosted by AI emerged.
Cybercriminals exploited direct payment systems using clippers and mobile banking Trojans.
Attacks with mobile Automated Transfer Systems will become globally adopted.
Attacks by the Brazilian banking Trojans manifested as a global threat.
Ransomware groups intensified their focus on high-value targets, with increased focus on targeting financial services.
Open-source backdoor packages increasing making it difficult for cybersecurity professionals to track.
The number of widespread threat CVEs selected from high-value zero-day vulnerabilities has surged.
In 2025, the upsurge in stealer activity predicted will occur, leading to an increase in cyber or traditional crime.
Expected number of attacks targeting central banks and open banking APIs and expansion of Chinese speaking crimeware worldwide.
More AI and machine learning on defense side and upsurge in financial cyberattacks targeting smartphones.

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Marktechpost

428

BLIP3-KALE: An Open-Source Dataset of 218 Million Image-Text Pairs Transforming Image Captioning with Knowledge-Augmented Dense Descriptions

BLIP3-KALE is an open-source dataset of 218 million image-text pairs.
It addresses the limitations of previous image caption datasets by combining synthetic captions and real-world information.
KALE features knowledge-augmented dense captions that provide rich descriptive detail and factual grounding.
It sets a new benchmark for density and factual grounding in image descriptions.

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Nvidia

345

Image Credit: Nvidia

Indonesia Tech Leaders Team With NVIDIA and Partners to Launch Nation’s AI

Indonesia’s technology leaders have launched an initiative to bring sovereign AI to the nation’s more than 277 million Indonesian speakers.
The collaboration is grounded in a broad public-private partnership that reflects the nation’s concept of “gotong royong,” a term describing a spirit of mutual assistance and community collaboration.
Sahabat-AI is a collection of open-source Indonesian large language models (LLMs) that local industries, government agencies, universities and research centers can use to create generative AI applications.
Built with NVIDIA NeMo and NVIDIA NIM microservices, the models were launched today at Indonesia AI Day.
Artificial intelligence will democratize technology. It is the great equalizer,” said Jensen Huang, NVIDIA founder and CEO.
NVIDIA subsidiary Lintasarta built the high-performance AI cloud within three months, bolstered by the NVIDIA Cloud Partner program.
IOH is developing applications for industry-specific use cases based on its new AI cloud, Sahabat-AI and the NVIDIA AI Enterprise software platform.
Hippocratic AI is using the models, the NVIDIA AI platform and IOH’s sovereign AI cloud to develop digital agents that can have humanlike conversations, exhibit empathic qualities, and build rapport and trust with patients across Indonesia.
Indonesia’s leading on-demand transport services, GoTo, is adopting and enhancing the new Sahabat-AI models to integrate with its AI voice assistant, called Dira.
Beyond Indonesia, NVIDIA NIM microservices are bolstering sovereign AI models that support local languages in India, Japan, Taiwan and many other countries and regions.

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Marktechpost

Fixie AI Introduces Ultravox v0.4.1: A Family of Open Speech Models Trained Specifically for Enabling Real-Time Conversation with LLMs and An Open-Weight Alternative to GPT-4o Realtime

Fixie AI introduces Ultravox v0.4.1, a family of multi-modal, open-source models trained specifically for enabling real-time conversations with AI.
Ultravox v0.4.1 incorporates the ability to handle multiple input formats, such as text, images, and other sensory data.
The models are built using a transformer-based architecture optimized to process multiple types of data in parallel, achieving impressive latency reduction.
Ultravox v0.4.1 offers an open-weight alternative to closed-source models like GPT-4, making advanced conversational AI more accessible and adaptable.

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Siliconangle

121

Image Credit: Siliconangle

Broadcom’s VMware strategy is winning despite market friction

Broadcom's acquisition of VMware is going almost exactly as expected when the deal was announced in May 2022.
Customers are actively moving many low value workloads off VMware, but most mission-critical work is staying put, allowing Broadcom to integrate VMware into its highly successful business model.
Broadcom is marketing the economic benefits of going all-in on the VMware Cloud Foundation bundle despite negative sentiment in the press and social media.
Broadcom has done extensive total-cost-of-ownership and economic analysis which appears quite defensible, assuming customers go all-in on VCF.
Broadcom has significant upside to its VMware business if it can convince customers to stay with its VCF bundle.
Several industry surveys indicate a large percentage of customers are looking to migrate off VMware, but migrations are nontrivial and almost always more expensive than staying put.
Broadcom is executing ahead of expectations on its VMware progress and is establishing the basis for a long-term platform asset that will be an industry force for the next decade and perhaps beyond.
Customers should keep the roadmap of Broadcom in mind, negotiate the best deal, and identify low-value/low-risk workloads that can be easily moved to an alternative.
Understand VMware’s AI roadmap and spend ample time evaluating its ecosystem partners' approach when it comes to data feeding AI.
Broadcom's non-GAAP operating margins are historically above 60% and four to six times better those of most virtualization competitors/partners (e.g. Dell, Nutanix, Red Hat/IBM, HPE and so on).

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Microsoft

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Image Credit: Microsoft

Introducing the .NET Aspire Community Toolkit

The .NET Aspire Community Toolkit has been officially released, offering integrations and extensions for building with .NET Aspire, with support for .NET Aspire 9.
The Community Toolkit allows third-party contributions to the .NET Aspire ecosystem, offering additional integrations and extensions.
Currently, the Toolkit includes nearly a dozen integrations, such as Ollama hosting, Go and Java/Spring application hosting, and additional features for Node.js.
To get started with the .NET Aspire Community Toolkit, users can install it from NuGet and follow the provided documentation and examples.

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