(請注意:中文內容設於下方) [KCD Taipei 2024 Session Promote VI] Grafana Alloy is an OpenTelemetry (OTel) collector launched by Grafana Labs, but have you ever thought about how to operate it in a multi-tenancy environment? The next session introduces Eric Huang’s “Best Practices for Grafana Alloy: Multi-Tenancy Design, Performance Optimization, and End-to-End Tracing.” This session will teach you how to quickly deploy Grafana Alloy and achieve multi-tenant design, including setting rate limits for individual tenants. Whether refining logs into metrics with Loki rulers or propagating trace context from front-end apps, it can all be configured to display on Grafana. === [KCD Taipei 2024 議程宣傳 VI] Grafana Alloy 是 Grafana Labs 推出的 OpenTelemetry (OTel) 收集器,但有想過要如何在 multi-tenancy 上運作嗎? 下一個議程來介紹是 Eric Huang 的「Grafana Alloy 最佳實踐:多租户設計、性能優化與端到端追蹤」。 本次議程會教如何快速部署 Grafana Alloy,並達到 multi-tenant 設計,並且對個別 tenant 設定 rate limit。不論是 Loki rulers 從 log 精煉成 metrics,還是由前端 app 的 trace context propogation,都可以設定到 Grafana 上呈現。 #KCD #KCDTaipei #KCDTaipei2024 #CNCF
Cloud Native Taiwan User Group’s Post
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Here's a calculation ⚙ Part of the #DailyUI series. https://lnkd.in/dVtTnATD
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In this 4th video of he #MapKit series for #SwiftUI we create a MapManager service. We’ll explore how we can search for surrounding locations using natural language and view them along with any placemarks we may have added for our particular location. https://lnkd.in/g3T6FFCh
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𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐓𝐚𝐧𝐒𝐭𝐚𝐜𝐤 𝐐𝐮𝐞𝐫𝐲 𝐚 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐭𝐨𝐨𝐥 𝐟𝐨𝐫 𝐦𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐪𝐮𝐞𝐫𝐢𝐞𝐬? Discover why TanStack Query is an essential tool for managing network queries! In this video, AI Domain Specialist Louis Sanna dives into how this powerful library, formerly known as React Query, simplifies complex network logic by handling caching, key-based query updates, and adaptable runtime contexts. Gain foundational skills to streamline your query management and improve app efficiency with TanStack Query’s built-in capabilities. 🎓 Ready to level up? Watch the complete course here: https://lnkd.in/g3ESkSFp
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Learn how to make the most out of your SwiftUI experience with Observation. By using the `onChange` method, you can ensure the Object remains up-to-date when working with WindowGroup or Query. Check out this tutorial on how to effectively utilize Observation in SwiftUI: https://lnkd.in/eNgsP6Ki
Connecting Observation with Binding in SwiftUI | BrightDigit
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I see a future where third party agents can be used as part of a collaboration to get "something done". What becomes interesting here is what is the market place and trust model that needs to be in place to support the "Internet of Agents" I really like the model of a chat service where you could create a group chat and Invite trusted agents to join and then give them the goal and let them autonomously organize to achieve that goal. This research group have an interesting take on this:
GitHub - OpenBMB/IoA: An open-source framework for collaborative AI agents, enabling diverse, distributed agents to team up and tackle complex tasks through internet-like connectivity.
github.com
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Yesterday I just wrote about how http://masumi.network will make it possible for AI Agents to communicate and transact with each other independently from the underlying orchestration framework being used. The same day apparently LangChain announced "Agent Protocol" - the space is moving so fast right now, you can get motion sick 😅 - great to see this! Interoperability is key and from what I see it will be easy to make the Masumi Network Protocol interoperable with "Agent Protocol", while adding more layers of security and functionality to it. https://lnkd.in/eJuj_Wva
Agent Protocol: Interoperability for LLM agents
blog.langchain.dev
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I still think that SD3 is going to be really strong for local generation when it has been finetuned and there are more LoRAs available for it, but I am playing with FLUX (released by former team members from Stability AI) and I am really impressed so far. It is especially good rendering text. I have 12GB VRam and I am not having trouble generating with ComfyUI. I am linking to a simple guide video if you're interested in checking it out. #flux #imagegeneration #llm #stablediffusion https://lnkd.in/e9_afXH7
FLUX 1 Schnell - Local Install Guide / ComfyUI
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COSCUP 2024 link: https://coscup.org/2024/zh-TW/session/VESN7N Sessionize link: https://kcd-taipei-2024.sessionize.com/session/704141