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Embracing Failure - The Pathway to Success

“Losing billions of dollars is no big deal.” At first glance, this statement might seem shocking, but it holds a powerful truth about the relationship between risk, failure, and success. To truly understand this mindset, we must recognize that extraordinary growth and innovation come from bold risks, embracing uncertainty, and being unafraid of failure.

Risk: The Fuel for Growth

True growth doesn’t happen by playing it safe. It happens when you step out of your comfort zone, take risks, and create opportunities to fail. It’s through these daring decisions that real strength and depth of thought are forged. Without risk, there’s no progress, and without failure, there’s no learning.

While many people and organizations see failure as something to avoid at all costs, this belief only holds them back. Playing it safe might protect your finances and reputation in the short term, but it will also keep you from ever achieving the kind of breakthrough success you dream of. The truth is, if you avoid failure, you avoid growth.

Turning Failure into Success

Failure isn’t the end. In fact, it’s often the very beginning of success. The key is how you respond to failure. "Successful failure" isn’t about celebrating mistakes—it’s about taking the lessons from those setbacks and applying them in ways that propel you forward. Every failure contains valuable insights, and those insights can make the difference between stagnation and transformation.

Those who are willing to experiment, make mistakes, and learn from them are the ones who will innovate and lead. True innovation requires testing the unknown, and if you already know something will succeed, it’s not really an experiment. This mindset—embracing the unknown and being open to failure—is what drives the most groundbreaking advances.

Learning from Setbacks: The Apollo 1 Example

One powerful example of failure leading to future success comes from space exploration. The tragedy of the "Apollo 1" disaster shook the world, but it also provided critical lessons that would ensure the success of future space missions. What seemed like a devastating failure at the time became the foundation for safer, more successful missions that followed.

In the same way, any failure—whether in business or personal life—can become a stepping stone to success if you’re willing to learn from it. Failures offer valuable data, insights, and experience that can shape your next steps, help you avoid repeated mistakes, and lead to greater achievements in the future. The only real failure is failing to learn.

Invention and Failure: A Dynamic Duo

To innovate, you must be willing to fail. It’s as simple as that. The process of invention is messy, unpredictable, and often fraught with setbacks. But without those failures, true breakthroughs would never happen. If you’re unwilling to take risks, you’ll never create anything new or revolutionary. As they say, if you know something is going to work, it’s not an experiment—it's routine. But to transform, you must break away from routine and embrace the unknown.

Many of the world’s greatest successes are built not just on smart decisions, but on the insights gained from countless wrong ones. Every misstep adds to your knowledge, experience, and resilience, making you stronger and better prepared for the future.

Conclusion: Fail Forward

The road to success is paved with failures, but those failures are not something to be feared—they are to be embraced. Each failure is a lesson, a stepping stone, a necessary part of the journey toward innovation and greatness.

Don’t fear failure; fear staying in your comfort zone. The greatest breakthroughs happen when you push boundaries, take risks, and open yourself up to the possibility of failure. Because in the end, it’s not about how many times you fall—it’s about how many times you get back up, ready to apply what you’ve learned.

Every setback is just a setup for your next leap forward. Failure is not the opposite of success—it’s the foundation of it.

批判性思維技能：在資訊爆炸時代如何游刃有餘

"哈囉！今日我哋要講一個響依家咁快節奏，資訊多到爆既世界入面，比以前任何時候都重要既話題。我哋要講既係批判性思維技能，仲有點樣培養呢啲技能，好令你響日日圍住我哋既信息海洋中游刃有餘。

受齋藤孝嗰本叫《不被洗腦的100個思維習慣》既書啟發，我哋會探索幾啲策略，幫你睇嘢睇得清啲，做決定都會更好。

即刻入去第一個策略：信息處理。依家日日都俾數據轟炸，齋藤提議我哋要識得點樣有效咁去處理呢啲信息。

佢推薦左幾種技術，好似總結重點、畫思維導圖、深入調查咁。呢啲方法可以幫我哋由被動接收變成主動加工，識分邊啲係真有用既信息，邊啲係純係噪音。

跟住講下有效溝通。批判性思維唔淨止係要分析乜嘢，仲要識點樣講俾人聽。

齋藤提議我哋要養成主動聽人講同解釋既習慣，咁樣可以確保我哋真係聽明白對方。總結討論内容可以令複雜既對話變得簡單啲。好既溝通係成功推理同合作解決問題既基石。

依家講下深度學習。齋藤鼓勵我哋要將所讀過既嘢同自己既經歷連繫。

咁樣唔單止可以加深我哋理解，仲可以令新知識同我哋自己變得有關連。齋藤提倡要持續學習，提醒我哋教育永遠唔會真正完結。學得越多，批判性思維越強，就唔容易比表面或者譛動既信息影響。

最後，講下潛力心態。齋藤強調自我評估、樂觀同適應能力既重要性。

佢建議幾樣實用既習慣，好似每日反思同設定個人目標。呢啲習慣可以促進增長心態，將挑戰睇成機會而唔係障礙。咁樣既心態可以提高抵抗不良影響既韌性，仲可以鼓勵持續改進。

總結嚟講，齋藤嗰本《不被洗腦的100個思維習慣》俾咗我哋啲寶貴工具：有效處理信息、清晰溝通、深入參與同培養增長心態。

用呢啲習慣，我哋可以強化自己既心智，抵抗外部壓力，增強獨立思考既能力。

響將來日子裡，我哋努力建設一個批判性思維唔係淨係一種技能，而係共同標準既社會。一齊，我哋可以以清晰和自信應對現代世界既複雜性。唔好唔記得點贊、分享同訂閱嚟獲取更多既見解！多謝你既觀看。

今日就講到呢度！記住，批判性思維就好似肌肉，練得越多就越強壯。下次見！"

擁抱失敗 - 通往成功的道路

「損失數十億美元並不算什麼大事。」這句話乍看之下可能令人震驚，但它揭示了一個關於風險、失敗與成功之間關係的重要真相。要真正理解這種思維模式，我們必須認識到，非凡的成長和創新來自於大膽的冒險、擁抱不確定性，以及無懼失敗。

風險：成長的燃料

真正的成長並非來自於墨守成規，而是當你踏出舒適區，勇於冒險並創造失敗的機會時才會發生。正是通過這些大膽的決策，真正的力量和深度思考得以塑造。沒有風險，就沒有進步；沒有失敗，就沒有學習。

許多人和組織將失敗視為必須避免的事，但這種信念只會限制他們的發展。表面上看，墨守成規或許能在短期內保護你的財務和聲譽，但同時也會讓你無法實現夢想中的突破性成功。事實是，如果你避免失敗，就等於避免成長。

將失敗轉化為成功

失敗不是終點。事實上，它往往是成功的起點。關鍵在於你如何應對失敗。「成功的失敗」並不是在慶祝錯誤，而是將那些挫折中的教訓應用於推動你前進的方向。每次失敗都蘊藏著寶貴的見解，這些見解可能成為停滯與變革之間的分水嶺。

那些願意嘗試、犯錯並從中學習的人，才是最終能夠創新和領先的人。真正的創新需要測試未知，如果你已經知道某件事情會成功，那它就不是真正的實驗。這種心態——擁抱未知並對失敗保持開放——驅動著最具突破性的進展。

從挫折中學習：「阿波羅1號」的例子

太空探索中的一個強有力的例子是「阿波羅1號」災難。這場悲劇震驚了世界，但同時也提供了關鍵的教訓，保證了後續太空任務的成功。當時看似令人心碎的失敗，最終成為未來更安全、更成功任務的基石。

同樣地，無論是在商業還是個人生活中，任何失敗都可以成為通向成功的墊腳石，只要你願意從中學習。失敗提供了寶貴的數據、見解和經驗，這些可以塑造你的下一步行動，幫助你避免重蹈覆轍，並在未來實現更大的成就。唯一真正的失敗是未能從中學習。

創新與失敗：動態雙贏

要創新，就必須願意失敗。這是簡單的道理。發明的過程是混亂的、不可預測的，並且經常充滿挫折。但如果沒有這些失敗，真正的突破就不會發生。如果你不願冒險，就永遠無法創造任何新的或革命性的東西。正如他們所說，如果你知道某件事情一定會成功，那就不是實驗——而是例行公事。但要轉型，你必須打破常規，擁抱未知。

世界上許多最偉大的成功不僅建立在明智的決策之上，更基於從無數錯誤中獲得的見解。每一次失誤都增加了你的知識、經驗和韌性，使你變得更強大、更能應對未來。

結論：向前失敗

通往成功的道路佈滿了失敗，但這些失敗並非值得害怕——它們值得被擁抱。每一次失敗都是一個教訓、一個墊腳石，是邁向創新和偉大的必要部分。

不要害怕失敗；害怕待在你的舒適區。 最大的突破發生在你突破邊界、冒險並向失敗敞開心扉的時候。因為最終，這不是關於你跌倒了多少次——而是關於你多少次站起來，準備應用你所學到的。

每一次挫折都是為你的下一次飛躍做準備。失敗不是成功的對立面——它是成功的基石。

Understanding Logging in Kubernetes - From Containers to Nodes

Logging is an essential component of monitoring and maintaining applications, particularly in a complex environment like Kubernetes. Logs provide valuable insights into how an application behaves, identifying errors, performance issues, and security threats. However, logging in Kubernetes is challenging due to the dynamic and distributed nature of the platform. This blog post will explain where logs originate within Kubernetes, the importance of log collectors, and compare popular logging solutions such as Fluentd, Fluent Bit, and AWS CloudWatch Container Insights.

Where Do Logs Come From in Kubernetes?

In Kubernetes, logs are generated at various layers, including:

• Containers: Each container in a Kubernetes pod generates its own logs. These logs are written to the container's standard output (stdout) and standard error (stderr). The container runtime (such as Docker or containerd) manages these logs.

• Pods: Since a pod can have multiple containers, it aggregates logs from all its containers. However, Kubernetes does not automatically store or forward pod logs. They are ephemeral and typically vanish when a pod is terminated or restarted.

• Nodes: Each Kubernetes node has a logging agent that collects logs from all the pods running on the node. These logs are stored locally on the node, but like pod logs, they are temporary and could be lost if the node fails or is replaced.

Why Not Just Use AWS CloudWatch for EKS?

AWS CloudWatch is a powerful tool for monitoring and logging in AWS environments, including Elastic Kubernetes Service (EKS). While it may seem convenient to use CloudWatch for EKS logging, it has limitations when managing the full spectrum of log collection and processing needs.

Limitations of AWS CloudWatch for Kubernetes Logging:

• Lack of Flexibility: CloudWatch works well for simple, centralized logging, but it may not offer the flexibility needed to manage complex Kubernetes environments. It doesn't support advanced log parsing, enrichment, or filtering natively, which are often required in real-world applications.

• Cost Management: CloudWatch pricing is based on the volume of logs ingested and stored. In a Kubernetes environment where log volumes can grow exponentially, this can lead to unexpectedly high costs without offering enough control over data retention and processing.

• Multi-cluster Aggregation: Kubernetes often runs across multiple clusters. CloudWatch isn't designed to natively support cross-cluster log aggregation, which can make it challenging to get a unified view of your logs.

Given these challenges, many teams opt for specialized log collectors to gain better control over their logging infrastructure.

The Need for a Log Collector

A log collector is a tool designed to aggregate, process, and forward logs from different parts of the Kubernetes infrastructure. Instead of relying solely on CloudWatch, a log collector allows you to:

• Process Logs Efficiently: Filter and transform logs in real time, only forwarding the necessary information to CloudWatch or other logging backends.
• Enhance Log Enrichment: Enrich logs with additional metadata like pod labels, namespace, or node name, making it easier to analyze and search through logs.
• Optimize Cost: Reduce the volume of logs sent to CloudWatch by filtering irrelevant logs, thus minimizing cost.
• Centralized Aggregation: Collect logs from multiple clusters, enabling better observability across environments.

Comparison of Popular Log Collectors: Fluentd, Fluent Bit, and AWS CloudWatch Container Insights

There are several tools available for collecting and managing logs in Kubernetes, including Fluentd, Fluent Bit, and AWS CloudWatch Container Insights. Each tool has its own advantages and trade-offs.

Fluentd

• Overview: Fluentd is a full-fledged, open-source data collector designed to unify log data. It offers a wide range of plugins to integrate with various systems like Elasticsearch, S3, and CloudWatch.

• Pros:

• Highly customizable with over 500 plugins.
• Supports advanced log processing, filtering, and transformation.

• Works well in large, complex environments with heavy log processing needs.

• Cons:

• Heavier in terms of resource consumption due to its more extensive feature set.

• Requires more configuration and tuning, which can be complex.

• Use Case: Best suited for large-scale Kubernetes clusters where complex log management and advanced processing are needed.

Fluent Bit

• Overview: Fluent Bit is a lightweight, fast log processor and forwarder that is part of the Fluentd ecosystem. It shares much of Fluentd's functionality but with a lower resource footprint, making it ideal for environments with limited resources.

• Pros:

• Lightweight and fast, ideal for resource-constrained environments.
• Supports many of the same plugins as Fluentd, including integration with AWS services.

• Less configuration overhead than Fluentd.

• Cons:

• Limited advanced processing capabilities compared to Fluentd.

• Not as feature-rich, which may limit its use in more complex log aggregation pipelines.

• Use Case: Ideal for lightweight logging needs, edge devices, or smaller Kubernetes clusters where resource efficiency is a priority.

AWS CloudWatch Container Insights

• Overview: AWS CloudWatch Container Insights is a managed service provided by AWS to collect, aggregate, and visualize logs and metrics from your containerized applications on EKS.

• Pros:

• Seamless integration with AWS services, no need for additional setup.
• Provides built-in visualizations and monitoring for Kubernetes metrics and logs.

• Simplifies log collection for AWS-native Kubernetes environments.

• Cons:

• Limited customization and flexibility compared to Fluentd and Fluent Bit.
• Can become expensive as log volume increases.

• Primarily focuses on AWS, lacking multi-cloud or on-premise integration options.

• Use Case: Best suited for teams fully committed to the AWS ecosystem and those looking for a managed logging service with minimal setup.

Conclusion

Logging in Kubernetes requires more than just capturing container output; it involves orchestrating logs across multiple layers of the platform. AWS CloudWatch can handle basic logging, but to get the most out of your logs while optimizing costs, a dedicated log collector is often necessary. Fluentd, Fluent Bit, and AWS CloudWatch Container Insights each provide unique benefits depending on your environment's scale and complexity.

• Fluentd: Best for complex environments requiring extensive log processing and integration.
• Fluent Bit: Lightweight and efficient for smaller clusters or environments where resource usage is a concern.
• AWS CloudWatch Container Insights: An excellent option for those who want AWS-native integration with minimal setup but may not need the flexibility of the other solutions.

By choosing the right log collection strategy, you can ensure better observability and performance in your Kubernetes clusters while keeping costs under control.

探索超越領導力的力量：重新塑造職場的革命性理念

歡迎大家嚟到我哋個頻道！今日我哋會探討一個好有革命性力量嘅概念——超越領導力（Transcendent Leadership）。

各位觀眾朋友，多謝晒你哋今日參與我哋嘅討論。我哋會深入探討一下點解超越領導力可以重新塑造我哋嘅工作環境，仲會引用Fred Kofman嘅精彩著作《意義革命：超越領導力的力量》（The Meaning Revolution: The Power of Transcendent Leadership）。

而家呢個節奏咁快嘅商業世界，大家經常會優先考慮指標同生產力。但係Kofman提醒我哋，真正嘅領導力係超越咗純粹嘅管理。我哋嘅角色係要引導個人向住一個有意義嘅目標，呢個目標可以激發同吸引人哋。

超越領導力嘅核心在於目的嘅概念。當員工感覺到佢哋嘅工作對一個更大嘅使命有幫助，佢哋會被一種深刻嘅意義感所驅動。呢種心態唔單止可以提高工作滿意度，仲可以激發創新同推動可持續嘅成功。

真誠嘅領導力建立喺強大嘅價值觀上。真誠嘅領袖係真實同透明嘅。佢哋嘅行為同言辭一致，從而建立咗信任同忠誠。佢哋會將日常工作同更大嘅使命連繫起來，培養共同嘅目的感。

變革性嘅溝通都好緊要。領袖必須超越交易性嘅對話，進行能夠理解其團隊情感同專業需要嘅同理心對話。呢種層次嘅溝通可以建立更深嘅關係，並創建一個每個人都感受到被聆聽嘅工作環境。

高效團隊嘅基礎係合作同賦權。領袖應該培養每個團隊成員都感覺被重視嘅環境。通過鼓勵意見同賦權個人，我哋可以創造出一個充滿活力同創新嘅工作場所，推動集體成功。

平衡權力同正直。有效嘅領袖會優先考慮團隊同組織嘅福祉，而唔係自身利益。正直可以建立信任，使團隊能夠取得非凡嘅成果。真正嘅力量在於我哋對有原則同道德決策嘅承諾。

由目的同道德工作驅動嘅內在動力至關重要。雖然物質激勵可能會短暫提升績效，但係持久嘅投入係來自內心。當員工喺工作中找到意義，佢哋自然會全力以赴。

總之，超越領導力讓我哋創造嘅唔止係富有生產力嘅工作場所，仲係深具成就感嘅地方。讓我哋激勵我哋嘅團隊，以更深層次嘅方式同工作連繫起來，喺角色中找到尊嚴，並達到超越傳統成功嘅成果。

我哋一齊承諾呢個旅程。用真誠、同理心、正直同心靈嚟領導。我哋會共同革命我哋嘅工作場所，並留下一個有意義同影響力嘅遺產。

多謝曬你哋收睇！記住幫手點贊、留言同訂閱，唔好錯過更多有關領導力同工作場所轉型嘅見解。

瞭解 Kubernetes 中的日誌記錄 - 從容器到節點

日誌記錄是監控和維護應用程式的重要組成部分，尤其是在像 Kubernetes 這樣複雜的環境中。日誌能夠提供應用程式行為的寶貴見解，有助於識別錯誤、性能問題和安全威脅。然而，由於 Kubernetes 平台的動態和分散式特性，日誌記錄面臨著諸多挑戰。本篇文章將解釋 Kubernetes 中日誌的來源、日誌收集器的重要性，並比較 Fluentd、Fluent Bit 和 AWS CloudWatch Container Insights 等流行的日誌記錄解決方案。

Kubernetes 中的日誌從哪裡來？

在 Kubernetes 中，日誌產生於多個層次，包括：

• 容器: 每個 Kubernetes pod 中的容器都會生成自己的日誌，這些日誌寫入到容器的標準輸出 (stdout) 和標準錯誤 (stderr) 中。容器執行環境（如 Docker 或 containerd）負責管理這些日誌。

• Pod: Pod 可以包含多個容器，因此會聚合來自所有容器的日誌。然而，Kubernetes 並不會自動儲存或轉發 pod 的日誌。這些日誌是臨時的，通常會在 pod 終止或重啟時消失。

• 節點: 每個 Kubernetes 節點都有一個日誌代理，負責收集該節點上運行的所有 pod 的日誌。這些日誌儲存在節點本地，但與 pod 日誌類似，如果節點故障或被替換，這些日誌也可能丟失。

為什麼不直接使用 AWS CloudWatch 來處理 EKS 的日誌？

AWS CloudWatch 是一款功能強大的工具，用於在 AWS 環境（包括 Elastic Kubernetes Service，簡稱 EKS）中進行監控和日誌記錄。雖然在 EKS 上使用 CloudWatch 似乎很方便，但在處理全面的日誌收集和處理需求時，它有一定的限制。

AWS CloudWatch 在 Kubernetes 日誌記錄中的局限性：

• 靈活性不足: CloudWatch 對於簡單的集中式日誌記錄非常有用，但在管理複雜的 Kubernetes 環境時可能缺乏所需的靈活性。它不原生支持高級的日誌解析、豐富化或過濾，這些功能在實際應用中經常需要。

• 成本管理: CloudWatch 的定價基於日誌的攝取量和儲存量。在 Kubernetes 環境中，日誌量可能呈指數級增長，這可能導致成本出乎意料地高昂，並且缺乏對數據保留和處理的足夠控制。

• 多集群聚合: Kubernetes 通常運行於多個集群之上。CloudWatch 沒有為跨集群日誌聚合設計原生支持，這可能使得獲得統一的日誌視圖變得困難。

鑑於這些挑戰，許多團隊選擇使用專門的日誌收集器來更好地控制其日誌基礎架構。

日誌收集器的必要性

日誌收集器是一種專門設計用於聚合、處理和轉發來自 Kubernetes 基礎設施中不同部分的日誌的工具。相比完全依賴 CloudWatch，日誌收集器能夠讓你：

• 高效處理日誌: 實時過濾和轉換日誌，只將必要的信息轉發至 CloudWatch 或其他日誌後端。
• 增強日誌豐富化: 通過添加 pod 標籤、命名空間或節點名稱等額外元數據來豐富日誌，讓日誌分析和搜尋變得更加容易。
• 優化成本: 通過過濾掉不相關的日誌來減少發送至 CloudWatch 的日誌量，從而降低成本。
• 集中聚合: 從多個集群收集日誌，實現更好的環境觀察能力。

流行日誌收集器的比較：Fluentd、Fluent Bit 和 AWS CloudWatch Container Insights

以下是幾款 Kubernetes 日誌記錄工具的優劣比較：

Fluentd

• 概述: Fluentd 是一款全功能的開源數據收集器，旨在統一日誌數據。它提供了多種插件來與 Elasticsearch、S3 和 CloudWatch 等系統集成。

• 優點:

• 擁有超過 500 個插件，功能非常強大。
• 支持高級日誌處理、過濾和轉換。

• 適用於大型、複雜的環境，特別是需要大量日誌處理的場景。

• 缺點:

• 資源消耗較大，因為其功能更為全面。

• 配置和調整可能比較複雜。

• 適用場景: 適用於需要複雜日誌管理和高級處理的大型 Kubernetes 集群。

Fluent Bit

• 概述: Fluent Bit 是 Fluentd 生態系統的一部分，是一個輕量級且快速的日誌處理和轉發工具。它與 Fluentd 功能相似，但資源佔用更低，適用於資源有限的環境。

• 優點:

• 輕量且快速，非常適合資源有限的環境。
• 支持與 AWS 服務集成的多種插件。

• 配置簡單，操作門檻低。

• 缺點:

• 與 Fluentd 相比，進階處理能力有限。

• 功能不如 Fluentd 豐富，因此可能無法滿足複雜的日誌處理需求。

• 適用場景: 適合輕量級日誌需求的場景，例如資源受限的 Kubernetes 集群或邊緣設備。

AWS CloudWatch Container Insights

• 概述: AWS CloudWatch Container Insights 是 AWS 提供的一項管理服務，用於從 EKS 上的容器化應用收集、聚合和可視化日誌及指標。

• 優點:

• 與 AWS 服務無縫集成，無需額外配置。
• 提供內建的 Kubernetes 日誌及指標可視化功能。

• 簡化了 AWS 原生 Kubernetes 環境的日誌收集。

• 缺點:

• 與 Fluentd 和 Fluent Bit 相比，定制性和靈活性不足。
• 隨著日誌量增加，成本可能變得高昂。

• 主要針對 AWS，缺乏多雲或本地部署的集成選項。

• 適用場景: 適用於完全依賴 AWS 生態系統的團隊，或者需要最少配置的托管日誌服務。

結論

在 Kubernetes 中進行日誌記錄不僅僅是捕獲容器輸出，還需要協調來自平台多層的日誌。AWS CloudWatch 能夠處理基本日誌記錄，但若要最大化日誌的價值，同時控制成本，通常需要專門的日誌收集器。Fluentd、Fluent Bit 和 AWS CloudWatch Container Insights 根據環境的規模和複雜性提供不同的優勢：

• Fluentd: 適用於需要廣泛日誌處理和集成的複雜環境。
• Fluent Bit: 適合資源受限的集群或需要高效日誌記錄的小型環境。
• AWS CloudWatch Container Insights: 適合希望最小化配置的 AWS 原生集成團隊。

選擇正確的日誌收集策略，可以確保 Kubernetes 集群的更佳可觀察性和性能，同時控制成本。

Mastering Long-Term Thinking - How to Build a Resilient and Innovative Organization

In a remote mountain in West Texas, a unique project is taking shape. A clock, known as the 10,000-Year Clock, is being built to last and tick for 10,000 years. Its century hand moves once every 100 years, and its cuckoo emerges once every millennium. The clock is a symbol of long-term thinking, highlighting the value of considering the future—both in business and in life.

The commitment to long-term thinking is critical to success in many areas. When organizations focus only on short-term results, they often find themselves competing in crowded spaces. But extending the time horizon allows for innovation, growth, and endeavors that short-term thinking could never support.

The 10,000-Year Vision Applied to the Digital Era

So, how does this principle of long-term thinking apply to the digital era? In today's fast-paced world, many organizations struggle to balance speed with sustainability. Digital strategies are often focused on quick wins, but a different approach is needed: thinking long-term, even in a rapidly changing environment. Key elements to avoid stagnation include customer obsession, skepticism about proxies, adopting external trends, and making high-velocity decisions. These essentials aren’t tied to financial or market goals—they are cultural elements that leaders can control.

This approach defends against becoming what some call a "Day 2" company—a company that is slow, reactive, and focused more on maintaining the status quo than on innovating. Organizations need to be cautious not to let processes dominate outcomes. Instead, they should constantly ask, "Do we own the process, or does the process own us?"

Innovation through Trial and Error

Innovation is born from a culture of "forward failure"—the idea that failure is a necessary step toward success. Many successful projects began as small experiments, nurtured over time, driven by a set of guiding principles. These principles create a framework for a culture that embraces trial and error. High-judgment failure—where an initiative was worth trying but didn’t work—should lead to learning and adapting. The cycle of failure, learning, and trying again drives the most important successes.

This iterative process allows organizations to build momentum and discover what works. It’s about selecting people who are dissatisfied with the status quo, people who notice small inefficiencies and want to fix them. Innovation, in this context, is not about avoiding failure but learning from it and moving forward with greater insight.

Avoiding Bureaucracy and Embracing Speed

One of the biggest threats to innovation is bureaucracy. Bureaucracy slows down decision-making and stifles creativity. High-performing individuals often hate bureaucracy, while underperformers tend to hide behind it, creating the kind of friction that slows progress. Strong processes with measurable outcomes can help eliminate bureaucracy, exposing underperformers and allowing top talent to excel.

Recognizing bureaucracy isn’t always easy. It often manifests when rules can’t be explained, when they don’t benefit the customer, or when there is no clear path for resolving issues. When these symptoms arise, bureaucracy is likely creeping in. High standards and attention to detail are essential to avoiding this pitfall, ensuring that processes serve the business rather than becoming burdensome.

Conclusion: The Key to Long-Term Success

The philosophy is clear: long-term thinking, a culture of innovation, and a resistance to bureaucracy are essential to staying competitive in the digital age. Whether you’re running a small startup or a global enterprise, these principles can help build a resilient organization that thrives on change and embraces the future. By focusing on long-term goals, fostering a culture of experimentation, and eliminating unnecessary bureaucracy, you can set the stage for sustained success, just like the 10,000-Year Clock—built to last.

即席溝通技巧大揭秘

嘿大家！歡迎返嚟我嘅頻道。今日我哋會傾下個大家都會遇到但唔係成日講嘅話題——即席溝通。無論喺問答環節、工面試，定係平時嘅閒聊，都要快啲諗到嘢同清楚表達自己嘅諗法，其實真係幾難㗎。

好彩有 Matt Abrahams 嘅書《Think Faster, Talk Smarter: How to Speak Successfully When You're Put on the Spot》講解咗一個突破性嘅六步方法，可以幫我哋提升即席演講嘅技巧。噉而家就等我哋一齊分解下佢呢個方法，等你可以更有信心應對任何突如其來嘅演講情況。

第一步就係管理焦慮啦。焦慮係一個大障礙，會阻止我哋發揮全部潛力。Abrahams 建議咗幾種技巧可以幫你平靜心情，唔論係深呼吸練習定係想像積極結果，呢啲方法都可以幫助你冷靜應對意外發生嘅演講機會。

第二步係專注於相關性。要時刻記住對聽眾最重要嘅內容。通過了解同解決佢哋嘅需求同情感，你可以令個內容更加吸引同難忘。記住，唔係淨係講咗啲咩，而係點樣令聽眾產生共鳴。

第三步就好關鍵——用結構化嘅框架。Abrahams 建議即使喺即興演講中，都要有效組織自己嘅諗法。好似「問題－解決－好處」或者「過去－現在－未來」呢啲框架，都可以提供一個連貫同引人入勝嘅敘述，確保你嘅信息即使喺高壓情況下都可以清晰而有影響力。

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總括黎講，Abrahams 嘅方法係教我哋唔單止要諗得快，仲要講得聰明。通過管理焦慮、專注相關性、利用結構化框架同勤奮練習，我哋可以用全新嘅自信同效率應對即席演講嘅挑戰。

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掌握長期思維：如何打造具有韌性與創新精神的組織

在美國德克薩斯州西部的偏遠山區，一個獨特的項目正在成形。一座名為「一萬年鐘」的時鐘正被建造，設計目標是能持續運行並計時一萬年。這座時鐘的世紀指針每百年移動一次，而千年鳥則每千年出現一次。這座時鐘象徵著長期思維，強調在商業與生活中考慮未來的價值。

對於長期思維的承諾在許多領域都是成功的關鍵。當組織僅關注短期結果時，往往會發現自己在擁擠的市場中競爭。但延長時間視野則可以帶來創新、增長以及短期思維所無法支持的努力。

一萬年願景在數位時代的應用

那麼，長期思維的原則如何應用於數位時代呢？在當今這個節奏快速的世界中，許多組織都在努力平衡速度與可持續性。數位策略往往著眼於快速成果，但一種不同的方式是必要的：在快速變化的環境中思考長遠。避免停滯的關鍵元素包括：以客戶為中心、對代理指標保持懷疑、採納外部趨勢，以及進行高速度決策。這些要素並不依附於財務或市場目標，而是領導者可以掌控的文化層面。

這種方法能防止組織淪為所謂的「第二天公司」——一個遲鈍、被動，並且更關注維持現狀而非創新的公司。組織需要謹慎，不能讓流程凌駕於結果之上。相反地，他們應該不斷問自己：「我們是擁有流程，還是被流程所掌控？」

通過試驗與錯誤實現創新

創新的誕生源於一種「向前失敗」的文化——失敗是通往成功的必要步驟。許多成功的項目始於小型實驗，在時間的滋養下成長，由一套指導原則驅動。這些原則為一種接受試驗與錯誤的文化建立了框架。高判斷力失敗——即值得嘗試但未成功的倡議——應引導出學習與調整。這種失敗、學習與再嘗試的循環推動了最重要的成功。

這種迭代過程使組織能夠建立動能並發現有效的方法。它關乎選擇那些對現狀不滿意的人——那些注意到小問題並希望改進的人。在這種語境中，創新不是關於避免失敗，而是從中學習，並以更深刻的洞察力前進。

避免官僚主義並擁抱速度

創新的最大威脅之一是官僚主義。官僚主義會拖慢決策過程並扼殺創造力。高績效個體通常討厭官僚主義，而低績效者則傾向於躲在其中，造成減緩進展的摩擦。透過具有可衡量結果的強大流程可以幫助消除官僚主義，暴露低績效者，並讓頂尖人才得以發揮。

認識到官僚主義並不總是容易的。它往往表現在規則無法解釋、規則不利於客戶，或問題解決路徑不明確時。當這些症狀出現時，官僚主義很可能正在滲入。高標準與對細節的關注是避免這種陷阱的關鍵，確保流程為業務服務，而非成為負擔。

結論：長期成功的關鍵

理念非常清楚：長期思維、創新文化，以及抵制官僚主義是保持競爭力的必要條件。無論您經營的是一家小型初創公司還是全球企業，這些原則都有助於打造一個在變化中茁壯成長並擁抱未來的韌性組織。通過專注於長期目標、培養實驗文化以及消除不必要的官僚主義，您可以為持續的成功奠定基礎，就像一萬年鐘一樣——為長久而建。

數字革命：成功之道

歡迎嚟到今日嘅深入探索，我哋會探討2023年日本最受注目嘅商業書——安藤耕太嘅《數值化之鬼》。喺數碼轉型重塑各行各業嘅世界中，掌握數字思維係關鍵。請繼續睇住，等我哋揭示點解利用數字力量可以幫你喺個人同職業人生中成功。

大家好！我係Victor，今日我哋會深入探討安藤耕太嘅《數值化之鬼》。呢本書係將數字意識融入我哋日常生活嘅智慧寶庫。咁我哋開始啦！

首先，我哋講吓咩係數字意識。通常，我哋會依賴情感或者直覺嚟決定。雖然咁唔一定係錯，但係嗰啲成功嘅人多數用數字角度嚟諗嘢嘅。數字意識係成功嘅基石。佢可以幫我哋做客觀嘅自我評估，同埋促進持續改進嘅文化。

諗吓，如果你想改善健康，但係唔記住稱重或者測量進展，咪好難成功囉。呢個原則同樣適用於我哋嘅職業目標。通過用數字衡量我哋嘅進展，我哋可以識別改善嘅地方，然後制定有效嘅數據驅動策略。

接住嚟，我哋講吓決策喇。喺呢個數碼時代，知情嘅數據驅動決策係非常重要嘅。數字可以幫我哋減少主觀判斷嘅風險，從而導致更精確同可靠嘅結果。數據為基礎嘅方法確保我哋嘅策略唔止係雄心勃勃，而且係基於現實。

而家，講吓關鍵績效指標（KPI）。呢啲係關鍵導航工具，幫我哋專注喺最重要嘅目標。不過，避免叫住俾過多嘅KPI淹死。專注喺幾個關鍵指標，以避免管理不善同分心。

但係要提醒一下，當我哋沉浸喺數字中時，必須警惕誤解。唔單只要睇數字，而係要了解推動呢啲數字嘅變量同因素。過分簡化數據可能導致錯誤結論同誤導嘅決策。

雖然數字係非常重要，但定性見解提供咗數字無法單獨提供嘅深度同背景。透過平衡定量數據同定性見解，我哋可以獲得全面嘅理解，避免純機械嘅管理方法。

《數值化之鬼》充滿實際步驟同現實案例，幫助我哋將數字思維無縫地融入日常生活。採用呢種平衡方法，我哋可以確保決策過程係數據知情同背景扎實，從而實現可持續嘅增長同成功。

總結一下，要喺今日複雜嘅世界中茁壯成長，就要擁抱數字嘅力量，同時認識到佢哋嘅局限。培養數字意識，做出數據驅動嘅決策，專注於關鍵KPI，理解數據背後嘅背景，並平衡定量同定性見解。咁樣做，我哋就可以解鎖個人同職業成長嘅新高度。

多謝睇我哋嘅片！如果你覺得呢條片有幫助，記得點贊、訂閱同埋開通知鈴鐺，咁就可以收到更多有見地嘅內容啦。下次見！