# spaces Hugging Face Spaces is a platform for creating and deploying ML-powered demos, with SDK options including Gradio, Docker, and static HTML. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Agents at Large | Tracing Illicit OpenAI Agent Activity on Hugging Face DevFeed: [Agents at Large | Tracing Illicit OpenAI Agent Activity on Hugging Face]() Original publisher: [Read original article]() Author: Tom Hegel Published: 2026-09-16T10:00:34Z Content type: article Language: en Sources: [SentinelLabs - We are hunters, reversers, exploit developers, and tinkerers shedding light on the world of malware, exploits, APTs, and cybercrime across all platforms.]() Topics: [Threat Research](), [Incident response](), [hugging face](), [OpenAI](), [ChatGPT](), [spaces](), [Flask](), [OAuth](), [HTTP]() Tags: [agentic-ai](), [agents](), [chatgpt](), [flask](), [http](), [hugging-face](), [incident-response](), [oauth](), [openai](), [research](), [spaces](), [token]() ### AI overview SentinelLABS traces activity associated with two Hugging Face accounts, 0Time and Nyx9, that appears to extend OpenAI's published chronology. The report describes relay-code commits, a workbook containing unexecuted-looking external probes, and a Flask-wrapped tool that could potentially provision ChatGPT identities or OAuth credentials if deployed and invoked. ### Source excerpt Two Hugging Face accounts reveal that OpenAI's agents staged relay code, internal probes and ChatGPT account registration beyond the published timeline. ## State of Open Models: Summer 2026 Observations DevFeed: [State of Open Models: Summer 2026 Observations]() Original publisher: [Read original article]() Author: Adina Yakefu; Apolinário from multimodal AI art; Irene Solaiman Published: 2026-08-14T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Artificial Intelligence](), [Open Source](), [quantization](), [datasets](), [Nvidia](), [spaces](), [Hardware](), [Nemotron](), [qwen](), [Benchmark](), [API]() Tags: [api](), [artificial-intelligence](), [benchmark](), [community](), [datasets](), [hardware](), [hub](), [nemotron](), [nvidia](), [open-source](), [quantization](), [qwen](), [research](), [spaces]() ### AI overview This article examines the summer 2026 state of open models, highlighting rapid growth in public model repositories, datasets, and Spaces; the dominance of a small number of repositories in downloads; the rising scale of Chinese open models; differing model portfolio strategies; and the strong role of AMD, NVIDIA, and community quantization in making large models accessible. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces DevFeed: [How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces]() Original publisher: [Read original article]() Author: Mishig ᠮᠢᠰᠾᠢᠭ Published: 2026-06-09T10:46:19Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [hugging face](), [spaces](), [gradio](), [Artificial Intelligence](), [coding](), [SDKs]() Tags: [3d](), [agent](), [ai](), [building](), [coding](), [generation](), [gradio](), [hub](), [hugging-face](), [images](), [integration](), [spaces]() ### AI overview A coding agent builds a 3D gallery of Paris monuments by chaining two Hugging Face Spaces: one generates images and the other reconstructs 3D Gaussian splats. The article presents Gradio Spaces as documented, callable building blocks that agents can integrate into multimedia software pipelines. ### Source excerpt I asked a coding agent to build a beautiful website showcasing the monuments of Paris as 3D Gaussian splats. I never opened an image generator. I never touched a 3D reconstruction tool. The agent produced every asset (the images and the 3D splats) by calling two Hugging Face Spaces directly, then wired them into a cinematic viewer. ## Adding MCP Tools to Reachy Mini DevFeed: [Adding MCP Tools to Reachy Mini]() Original publisher: [Read original article]() Author: Alina Lozovskaya Published: 2026-06-03T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [reachy](), [MCP](), [spaces](), [Python](), [Open Source]() Tags: [agents](), [guide](), [mcp](), [open-source](), [python](), [reachy](), [robotics](), [spaces](), [tools]() ### AI overview This article explains how to add MCP tools to Reachy Mini. It describes built-in and custom local Python tools, profiles that enable tools, and remote tools hosted in Hugging Face Spaces for capabilities such as search, weather, and lookups. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Using projects in ChatGPT DevFeed: [Using projects in ChatGPT]() Original publisher: [Read original article]() Published: 2026-04-10T00:00:00Z Content type: tutorial Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [spaces](), [Availability]() Tags: [availability](), [chatgpt](), [how-to](), [memory](), [openai-academy](), [spaces](), [work](), [writing]() ### AI overview This guide explains how Projects in ChatGPT organize chats, files, instructions, and related context in dedicated spaces for ongoing work. It covers creating projects, adding materials, moving existing chats, inviting collaborators when available, workspace-level management for Enterprise customers, and project-only memory. ### Source excerpt Learn how to use projects in ChatGPT to organize chats, files, and instructions, manage ongoing work, and collaborate more effectively. ## CUGA on Hugging Face: Democratizing Configurable AI Agents DevFeed: [CUGA on Hugging Face: Democratizing Configurable AI Agents]() Original publisher: [Read original article]() Author: Jim Laredo; Avi Yaeli; Sami Marreed; Ayhan Sebin; Merve Unuvar Published: 2025-12-15T16:01:04Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [AI Agent](), [Artificial Intelligence](), [hugging face](), [Open Source](), [computer-use](), [Orchestration](), [spaces](), [OpenAPI Specification](), [LangChain](), [MCP](), [Low code](), [Python]() Tags: [ai](), [ai-agent](), [computer-use](), [hugging-face](), [langchain](), [low-code](), [mcp](), [open-source](), [openapi](), [orchestration](), [python]() ### AI overview CUGA, or Configurable Generalist Agent, is an open-source AI agent for complex, multi-step tasks across web and API environments. The article describes its enterprise-oriented architecture, configurable reasoning modes, computer-use capabilities, integrations with OpenAPI, MCP servers, LangChain, and Python functions, plus support for low-code workflow design, policy controls, human oversight, reuse of successful execution paths, and multi-agent collaboration. It also highlights CUGA's integration with Hugging Face Spaces and reported benchmark performance on AppWorld and WebArena. ### Source excerpt CUGA (Configurable Generalist Agent) was designed to overcome these limitations. It's an open-source, AI Agent that combines flexibility, reliability, and ease of use for enterprise use cases. By abstracting orchestration complexity, CUGA empowers developers to focus on domain requirements rather than the internals of agent building. And now, with its integration into 🚀Hugging Face Spaces🚀, experimenting with CUGA and open models has never been easier. What is CUGA? ## Introducing swift-huggingface: The Complete Swift Client for Hugging Face DevFeed: [Introducing swift-huggingface: The Complete Swift Client for Hugging Face]() Original publisher: [Read original article]() Author: Mattt Published: 2025-12-05T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [hugging face](), [Swift](), [API](), [OAuth 2.0](), [swift-transformers](), [OAuth](), [Caching](), [spaces](), [datasets]() Tags: [api](), [authentication](), [cache](), [community](), [datasets](), [hub](), [hugging-face](), [oauth](), [open-source](), [swift](), [swift-transformers](), [xet]() ### AI overview The article introduces swift-huggingface, a complete Swift client for Hugging Face. It focuses on reliable large-file downloads, resumable transfers, Python-compatible caching, clearer authentication, OAuth 2.0 for user-facing apps, and broad Hub API coverage for models, datasets, and spaces. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Generate Images with Claude and Hugging Face DevFeed: [Generate Images with Claude and Hugging Face]() Original publisher: [Read original article]() Author: shaun smith Published: 2025-08-19T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [Claude](), [hugging face](), [Model Context Protocol](), [MCP Server](), [Artificial Intelligence](), [gradio](), [flux](), [Image](), [qwen](), [spaces]() Tags: [anthropic](), [applications](), [article](), [artificial-intelligence](), [blog](), [claude](), [flux](), [generation](), [gradio](), [how-to](), [hugging-face](), [image](), [images](), [llm](), [mcp](), [mcp-server](), [models](), [qwen](), [spaces](), [text-to-image](), [tools]() ### AI overview This tutorial explains how to connect Claude to Hugging Face Spaces through the Hugging Face MCP Server to generate detailed images with AI models. It highlights prompt assistance, visual iteration, model selection, and examples including FLUX.1 Krea [dev] and Qwen-Image. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Introducing Trackio: A Lightweight Experiment Tracking Library from Hugging Face DevFeed: [Introducing Trackio: A Lightweight Experiment Tracking Library from Hugging Face]() Original publisher: [Read original article]() Author: Abubakar Abid; Zach Nation; Nouamane Tazi; Sasha Luccioni; Quentin Gallouédec Published: 2025-07-29T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [hugging face](), [Open Source](), [Python](), [gradio](), [spaces](), [dashboards](), [Machine learning]() Tags: [analysis](), [apis](), [artificial-intelligence](), [blog](), [data](), [gpu](), [gradio](), [hugging-face](), [library](), [machine-learning](), [metrics](), [model](), [open](), [open-source](), [performance](), [python](), [research](), [science](), [spaces](), [tools](), [training]() ### AI overview Hugging Face introduces Trackio, an open-source Python library for lightweight experiment tracking. It records machine learning metrics, parameters, hyperparameters, tensors, and GPU energy usage, then visualizes the results through a local Gradio dashboard that can be synchronized to Hugging Face Spaces for sharing. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Upskill your LLMs With Gradio MCP Servers DevFeed: [Upskill your LLMs With Gradio MCP Servers]() Original publisher: [Read original article]() Author: Freddy Boulton Published: 2025-07-09T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Model Context Protocol (MCP)](), [MCP Server](), [gradio](), [LLMs](), [spaces](), [hugging face](), [flux](), [Python](), [cursor]() Tags: [artificial-intelligence](), [claude](), [cursor](), [flux](), [follow](), [gradio](), [hugging-face](), [llm](), [llms](), [mcp](), [open-source](), [python](), [spaces]() ### AI overview This article explains how Gradio applications hosted on Hugging Face Spaces can expose tools through the Model Context Protocol (MCP), allowing LLM clients such as Cursor and Claude Code to use new capabilities. It demonstrates connecting Flux.1 Kontext[dev] as an MCP server for text-guided image editing. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Improving Hugging Face Model Access for Kaggle Users DevFeed: [Improving Hugging Face Model Access for Kaggle Users]() Original publisher: [Read original article]() Author: Vincent Roseberry; Meg Risdal; Julien Chaumond; Pedro Cuenca; Vaibhav Srivastav Published: 2025-05-14T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [hugging face](), [Kaggle](), [qwen](), [spaces]() Tags: [add-ons](), [announcement](), [code](), [community](), [evaluation](), [hub](), [hugging-face](), [kaggle](), [model](), [qwen](), [qwen3](), [secrets](), [spaces](), [token]() ### AI overview Kaggle is integrating Hugging Face models into its platform, improving model discovery, navigation, and reuse in Kaggle Notebooks. Public notebooks using Hugging Face models can contribute code examples to Kaggle model pages, while private and gated models continue to require Hugging Face authentication. Support for offline Kaggle competition submissions is still in development. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## The NLP Course is becoming the LLM Course DevFeed: [The NLP Course is becoming the LLM Course]() Original publisher: [Read original article]() Author: ben burtenshaw; Vaibhav Srivastav; Lewis Tunstall; Florent Daudens; Pedro Cuenca; Tom Aarsen; Eliott Coyac; Mishig ᠮᠢᠰᠾᠢᠭ; Sergio Paniego; Julien Chaumond Published: 2025-04-03T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [LLMs](), [hugging face](), [Natural language processing](), [Fine-tuning](), [Inference](), [Transformers](), [spaces](), [sentence-transformers]() Tags: [education](), [fine-tuning](), [inference](), [llm-course](), [nlp](), [nlp-course](), [open-source](), [sentence-transformers](), [spaces](), [transformers]() ### AI overview Hugging Face is renaming and expanding its NLP course as The LLM course. The refreshed curriculum adds material on fine-tuning LLMs, reasoning models, inference, retrieval, and modern NLP methods while retaining foundational tasks such as classification and named entity recognition. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub -- No Code Required DevFeed: [Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub -- No Code Required]() Original publisher: [Read original article]() Author: Natalia Elvira; ben burtenshaw; Daniel Vila Published: 2024-11-04T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [argilla](), [datasets](), [hugging face](), [Fine-tuning](), [human feedback](), [LLM evaluation / benchmarking](), [spaces](), [CSV]() Tags: [ai](), [argilla](), [artificial-intelligence](), [data](), [dataset](), [datasets](), [deployment](), [evaluation](), [fine-tuning](), [github](), [hub](), [hugging-face](), [human-feedback](), [oauth](), [open-source](), [space](), [spaces]() ### AI overview Argilla 2.4 introduces a no-code workflow for importing public Hugging Face Hub datasets into Argilla Spaces. Users can collect human feedback, annotate or curate datasets, and prepare them for fine-tuning or model evaluation, with Hugging Face OAuth supporting community contributions or restricted collaboration. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Introducing Community Tools on HuggingChat DevFeed: [Introducing Community Tools on HuggingChat]() Original publisher: [Read original article]() Author: Nathan Sarrazin Published: 2024-09-16T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [huggingchat](), [hugging face](), [spaces](), [gradio](), [Artificial Intelligence](), [LLMs]() Tags: [artificial-intelligence](), [community](), [gradio](), [hugging-face](), [huggingchat](), [open-source](), [rag](), [tools]() ### AI overview This tutorial introduces Community Tools in HuggingChat. It explains how to turn public Hugging Face Spaces into tools, create custom tools with basic Python and Gradio, configure tool descriptions, function names, and required, optional, or fixed arguments, and use tools with compatible models. It also mentions image understanding, video generation, text-to-speech, and creating a RAG tool for personal documents. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## The 5 Most Under-Rated Tools on Hugging Face DevFeed: [The 5 Most Under-Rated Tools on Hugging Face]() Original publisher: [Read original article]() Author: Derek Thomas Published: 2024-08-22T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [hugging face](), [AI search](), [data-processing](), [Open Source](), [datasets](), [gradio](), [spaces](), [Docker](), [GPU]() Tags: [api](), [apps](), [atlas](), [data-processing](), [datasets](), [docker](), [enterprise](), [gpu](), [gradio](), [guide](), [hub](), [hugging-face](), [nlp](), [nomic](), [open-source](), [reddit](), [search](), [spaces](), [tools](), [visualization]() ### AI overview The article demonstrates how to build a free, automatically updated semantic search application on the Hugging Face Hub using a Reddit data source. It highlights ZeroGPU, multi-process Docker Spaces, the Gradio API, webhooks, datasets, and Nomic Atlas for processing and visualizing dynamic data. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Google Cloud TPUs made available to Hugging Face users DevFeed: [Google Cloud TPUs made available to Hugging Face users]() Original publisher: [Read original article]() Author: Simon Pagezy; Michelle Habonneau; Philipp Schmid; Alvaro Moran Published: 2024-07-09T00:00:00Z Content type: release Language: en Sources: [Hugging Face - Blog]() Topics: [inference-endpoints](), [Sovereign AI](), [Google Cloud Platform (GCP)](), [hugging face](), [spaces](), [optimum](), [tgi](), [gemma](), [llama](), [model-deployment](), [Latency](), [Hardware]() Tags: [gcp](), [gemma](), [google-cloud](), [hardware](), [hugging-face](), [inference](), [inference-endpoints](), [latency](), [llama](), [open-source](), [optimum](), [partnerships](), [performance](), [spaces](), [tgi](), [tpu]() ### AI overview Hugging Face announces that Google Cloud TPUs are available for Inference Endpoints and Spaces. Google TPU v5e configurations can deploy supported models through managed infrastructure, while Optimum TPU and Text Generation Inference help train and serve models on TPUs. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Introducing NPC-Playground, a 3D playground to interact with LLM-powered NPCs DevFeed: [Introducing NPC-Playground, a 3D playground to interact with LLM-powered NPCs]() Original publisher: [Read original article]() Author: Tristan Deborde; Duermael; Gaetan de Villele; Corentin CAILLEAUD; Thomas Simonini Published: 2024-06-05T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Large Language Model](), [3D](), [Artificial Intelligence](), [hugging face](), [Open Source](), [Lua](), [spaces](), [GitHub]() Tags: [3d](), [artificial-intelligence](), [game-dev](), [github](), [hugging-face](), [llm](), [lua](), [open-source](), [spaces]() ### AI overview Hugging Face introduces NPC-Playground, a browser-based 3D demo from Cubzh and Gigax featuring LLM-powered non-player characters. Users can interact with the NPCs and teach them skills through Lua scripting. The article describes Cubzh, Gigax's NPC platform and inference stack, and the use of Hugging Face Spaces to host the demo. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Space secrets security update DevFeed: [Space secrets security update]() Original publisher: [Read original article]() Author: system Published: 2024-05-31T00:00:00Z Content type: news Language: en Sources: [Hugging Face - Blog]() Topics: [Security](), [incident](), [Authorization](), [spaces](), [tenant data protection]() Tags: [audit](), [authorization](), [data-protection](), [incident](), [infrastructure](), [kms](), [secrets](), [security](), [space](), [tokens]() ### AI overview Hugging Face reports unauthorized access involving secrets on its Spaces platform and suspects that some Spaces secrets may have been accessed. It revoked a number of HF tokens, recommended refreshing keys and tokens, and encouraged users to use fine-grained access tokens. The company also described security improvements including removing organization tokens, adding KMS for Spaces secrets, strengthening leaked-token detection and invalidation, and planning to deprecate classic read and write tokens. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Introducing Spaces Dev Mode for a seamless developer experience DevFeed: [Introducing Spaces Dev Mode for a seamless developer experience]() Original publisher: [Read original article]() Author: Simon Pagezy Published: 2024-05-21T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [spaces](), [Developer experience](), [vs-code](), [ssh](), [gradio](), [Git]() Tags: [azure](), [developer](), [developer-experience](), [git](), [gradio](), [how-to](), [partnership](), [spaces](), [ssh](), [vs-code]() ### AI overview Hugging Face introduces Spaces Dev Mode, a beta feature that lets PRO subscribers connect directly to a Space through VS Code or SSH. Developers can edit code without pushing local changes to the Space repository or rebuilding the container, then refresh the Space to test changes before committing and merging them. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Total noob's intro to Hugging Face Transformers DevFeed: [Total noob's intro to Hugging Face Transformers]() Original publisher: [Read original article]() Author: Andrew Jardine Published: 2024-03-22T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [Transformers](), [hugging face](), [Machine learning](), [Open Source](), [Natural language processing](), [Library](), [Python](), [spaces](), [datasets](), [Computer vision](), [PyTorch](), [Tensorflow]() Tags: [artificial-intelligence](), [community](), [computer-vision](), [datasets](), [frameworks](), [github](), [guide](), [hugging-face](), [library](), [machine-learning](), [open-source](), [python](), [pytorch](), [science](), [source](), [spaces](), [tensorflow](), [transformers](), [vision]() ### AI overview This beginner-friendly guide introduces Hugging Face Transformers and open-source machine learning to readers without prior technical or Python knowledge. It explains the Transformers library, pretrained models, supported tasks and frameworks, the Hugging Face Hub for sharing models and datasets, and Spaces for building and hosting web-based machine learning demos and applications. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Heroku Private Spaces Global Expansion: Canada, India, Singapore, and the UK DevFeed: [Heroku Private Spaces Global Expansion: Canada, India, Singapore, and the UK]() Original publisher: [Read original article]() Author: Ethan Limchayseng Published: 2023-08-31T21:00:00Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku](), [spaces](), [Availability](), [data-governance](), [Network]() Tags: [apac](), [apache-kafka](), [aws](), [canada](), [cloud-infrastructure](), [data](), [dynos](), [heroku](), [heroku-shield](), [india](), [kafka](), [london](), [news](), [platform-updates](), [private-spaces](), [uk]() ### AI overview Heroku announces general availability for Private Spaces in India and Canada, plus new regions in the United Kingdom and Singapore. The expansion supports data-location control and includes services such as Heroku Postgres, Apache Kafka on Heroku, Heroku Data for Redis, Heroku Connect, and most Heroku Add-ons. ### Source excerpt In May 2023, we announced our limited release of two new Heroku Private Spaces regions: India (Mumbai) and Canada (Montreal). This month, we're announcing the full general availability of those two regions, along with new Heroku Private Spaces regions for the United Kingdom (London) and Singapore. This expansion enables customers to maintain greater control over [...] The post Heroku Private Spaces Global Expansion: Canada, India, Singapore, and the UK appeared first on Heroku. ## Barcelona 2023 Company Offsite Recap DevFeed: [Barcelona 2023 Company Offsite Recap]() Original publisher: [Read original article]() Author: Luis Gonzalez Published: 2023-07-10T16:47:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [incident](), [releases](), [spaces]() Tags: [ceo](), [company](), [customer](), [fundraising](), [growth](), [history](), [hub](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [london](), [outage](), [post-mortem](), [product](), [recap](), [releases](), [slack-incident](), [spaces](), [us]() ### AI overview A recap of incident.io's second company offsite in Barcelona, covering the team's growth, expansion of its New York office and wider US presence, new product releases, and a values session that helped define the company's future. ### Source excerpt Last month, the team gathered for our second company offsite in sunny, oceanside Barcelona. Here's how it went. ## Heroku Adds Third Availability Zone for Private Spaces DevFeed: [Heroku Adds Third Availability Zone for Private Spaces]() Original publisher: [Read original article]() Author: Ethan Limchayseng Published: 2023-06-15T23:00:04Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku](), [Availability](), [spaces](), [Amazon Web Services]() Tags: [announce](), [availability](), [aws](), [cloud-infrastructure](), [data-centers](), [developer-tools](), [dynos](), [features](), [heroku](), [news](), [outages](), [performance-optimization](), [platform](), [private-spaces](), [product](), [product-features]() ### AI overview Heroku added a third availability zone to Private Spaces. The change is managed by Heroku, requires no customer action or additional cost, and is intended to improve resilience during availability zone outages. ### Source excerpt Heroku is excited to announce the addition of a third availability zone (AZ) for our Private Spaces product offering. Three availability zones make Private Space apps more resilient to outages. We've prioritized this improvement as part of our focus on mission-critical features to make the Heroku Platform even more reliable. The changeover to three availability [...] The post Heroku Adds Third Availability Zone for Private Spaces appeared first on Heroku. ## Heroku Private Spaces Expand to Mumbai and Montreal DevFeed: [Heroku Private Spaces Expand to Mumbai and Montreal]() Original publisher: [Read original article]() Author: Ethan Limchayseng Published: 2023-05-03T20:06:00Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku](), [spaces](), [Heroku Postgres](), [Kafka](), [Redis]() Tags: [apache-kafka](), [canada](), [customers](), [deploy](), [heroku](), [heroku-enterprise](), [heroku-postgres](), [india](), [news](), [private-spaces](), [product-features](), [redis](), [release](), [security](), [support]() ### AI overview Heroku announces a limited release of Private Spaces in Mumbai and Montreal. The new regions support Private Spaces and several related Heroku products, with access initially limited to existing Private Spaces customers accepted into the Limited Release program. ### Source excerpt This month, we're expanding the Heroku platform with a limited release of our Private Spaces product in two new regions, India (Mumbai) and Canada (Montreal), enabling customers to maintain even greater control over where data is stored and processed. These two new regions will fully support Heroku Private Spaces, Heroku Shield Private Spaces, Heroku Postgres, [...] The post Heroku Private Spaces Expand to Mumbai and Montreal appeared first on Heroku. [Next page]()