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A visual introduction to Apache Kafka
Introducing Apache Kafka - a visual overview. Presented at the Canberra Big Data Meetup 7 February 2019. We build a Kafka "postal service" to explain the main Kafka concepts, and explain how consumers receive different messages depending on whether there's a key or not.
Time series databases
Slides from a talk delivered during 4Developers conference in Warsaw covering concepts of time-series databases.
Day 1 axway apim-training
The document provides an overview of a 5-day API Management training agenda with the following key points:
- Day 1 covers an introduction to architecture, components, concepts, and deployment models.
- Day 2 focuses on installing and setting up the API Gateway, virtualizing an API, and covering the "Hello API" lab.
- Day 3 goes deeper into using the Policy Studio with additional labs.
- Day 4 discusses advanced filters and security topics.
- Day 5 covers administration and advanced setup.
Kafka Intro With Simple Java Producer Consumers
Introduction to Kafka streaming platform. Covers Kafka Architecture with some small examples from the command line. Then we expand on this with a multi-server example. Lastly, we added some simple Java client examples for a Kafka Producer and a Kafka Consumer.
Red Hat: Three Pillars of Integration
Scott Cranton, presenting at Red Hat's "Microservices, Integration, API, and Containers" Day, Tustin, CA, 6/21/208
(SEC315) AWS Directory Service Deep Dive
AWS Directory Service enables you to create a new Active Directory domain in AWS with Simple AD or to connect your existing Active Directory domain with AD Connector. Learn how to use these offerings to domain join and enable single sign-on (SSO) to your Amazon EC2 Windows and Linux instances, set up federated access to the AWS Management Console, and use Amazon WorkSpaces, Amazon WorkDocs, and Amazon WorkMail.
Migrating To GitHub
Presented DevOpsLive Meetup in Dallas, sharing our experiences in migrating large enterprises from SVN and Accurev to GitHub
(ENT206) Migrating Thousands of Workloads to AWS at Enterprise Scale | AWS re...
Migrating workloads to AWS in an enterprise environment is not easy, but with the right approach, an enterprise-sized organization can migrate thousands of instances to AWS quickly and cost effectively. You can leave this session with a good understanding of the migration framework used to assess an enterprise application portfolio and how to move thousands of instances to AWS in a quick and repeatable fashion.
In this session, we describe the components of Accenture's cloud migration framework, including tools and capabilities provided by Accenture, AWS, and third-party software solutions, and how enterprises can leverage these techniques to migrate efficiently and effectively. The migration framework covers:
- Defining an overall cloud strategy
- Assessing the business requirements, including application and data requirements
- Creating the right AWS architecture and environment
- Moving applications and data using automated migration tools- Services to manage the migrated environment
Recommended
A visual introduction to Apache Kafka
Introducing Apache Kafka - a visual overview. Presented at the Canberra Big Data Meetup 7 February 2019. We build a Kafka "postal service" to explain the main Kafka concepts, and explain how consumers receive different messages depending on whether there's a key or not.
Time series databases
Slides from a talk delivered during 4Developers conference in Warsaw covering concepts of time-series databases.
Day 1 axway apim-training
The document provides an overview of a 5-day API Management training agenda with the following key points:
- Day 1 covers an introduction to architecture, components, concepts, and deployment models.
- Day 2 focuses on installing and setting up the API Gateway, virtualizing an API, and covering the "Hello API" lab.
- Day 3 goes deeper into using the Policy Studio with additional labs.
- Day 4 discusses advanced filters and security topics.
- Day 5 covers administration and advanced setup.
Kafka Intro With Simple Java Producer Consumers
Introduction to Kafka streaming platform. Covers Kafka Architecture with some small examples from the command line. Then we expand on this with a multi-server example. Lastly, we added some simple Java client examples for a Kafka Producer and a Kafka Consumer.
Red Hat: Three Pillars of Integration
Scott Cranton, presenting at Red Hat's "Microservices, Integration, API, and Containers" Day, Tustin, CA, 6/21/208
(SEC315) AWS Directory Service Deep Dive
AWS Directory Service enables you to create a new Active Directory domain in AWS with Simple AD or to connect your existing Active Directory domain with AD Connector. Learn how to use these offerings to domain join and enable single sign-on (SSO) to your Amazon EC2 Windows and Linux instances, set up federated access to the AWS Management Console, and use Amazon WorkSpaces, Amazon WorkDocs, and Amazon WorkMail.
Migrating To GitHub
Presented DevOpsLive Meetup in Dallas, sharing our experiences in migrating large enterprises from SVN and Accurev to GitHub
(ENT206) Migrating Thousands of Workloads to AWS at Enterprise Scale | AWS re...
Migrating workloads to AWS in an enterprise environment is not easy, but with the right approach, an enterprise-sized organization can migrate thousands of instances to AWS quickly and cost effectively. You can leave this session with a good understanding of the migration framework used to assess an enterprise application portfolio and how to move thousands of instances to AWS in a quick and repeatable fashion.
In this session, we describe the components of Accenture's cloud migration framework, including tools and capabilities provided by Accenture, AWS, and third-party software solutions, and how enterprises can leverage these techniques to migrate efficiently and effectively. The migration framework covers:
- Defining an overall cloud strategy
- Assessing the business requirements, including application and data requirements
- Creating the right AWS architecture and environment
- Moving applications and data using automated migration tools- Services to manage the migrated environment
Achieving a 50% Reduction in Cross-AZ Network Costs from Kafka (Uday Sagar Si...
Cloud providers like AWS allow free data transfers within an Availability Zone (AZ), but bill users when data moves between AZs. When the data volume streamed through Kafka reaches big data scale, (e.g. numeric data points or user activity tracking), the costs incurred by cross-AZ traffic can add significantly to your monthly cloud spend. Since Kafka serves reads and writes only from leader partitions, for a topic with a replication factor of 3, a message sent through Kafka can cross AZs up to 4 times. Once when a producer produces a message onto broker in a different AZ, two times during Kafka replication, and once more during message consumption. With careful design, we can eliminate the first and last part of the cross AZ traffic. We can also use message compression strategies provided by Kafka to reduce costs during replication. In this talk, we will discuss the architectural choices that allow us to ensure a Kafka message is produced and consumed within a single AZ, as well as an algorithm that lets consumers intelligently subscribe to partitions with leaders in the same AZ. We will also cover use cases in which cross-AZ message streaming is unavoidable due to design limitations. Talk outline: 1) A review of Kafka replication, 2) Cross-AZ traffic implications, 3) Architectural choices for AZ-aware message streaming, 4) Algorithms for AZ-aware producers and consumers, 5) Results, 6) Limitations, 7) Takeaways.
Apache Kafka Architecture & Fundamentals Explained
Watch this talk here: https://www.confluent.io/online-talks/apache-kafka-architecture-and-fundamentals-explained-on-demand
This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Learn about the underlying design in Kafka that leads to such high throughput.
This talk provides a comprehensive overview of Kafka architecture and internal functions, including:
-Topics, partitions and segments
-The commit log and streams
-Brokers and broker replication
-Producer basics
-Consumers, consumer groups and offsets
This session is part 2 of 4 in our Fundamentals for Apache Kafka series.
What is AWS Glue
AWS Glue is a serverless data integration service that allows users to discover, prepare, and transform data for analytics and machine learning. It provides a fully managed extract, transform, and load (ETL) service on AWS. AWS Glue crawls data sources, automatically extracts metadata and stores it in a centralized data catalog. It then executes ETL jobs developed by users to clean, enrich and move data between various data stores.
Challenges of Kubernetes On-premise Deployment
The document discusses challenges of deploying Kubernetes on-premise, including how load balancers are provisioned without cloud providers, using Nginx and Haproxy for load balancing on bare metal. It also covers how persistent volumes are provisioned with CSI drivers like Ember CSI to interface with storage backends, and tools for deploying and managing on-premise Kubernetes clusters like RKE.
Cloud Native Apps
This document discusses cloud-native applications and serverless computing. It begins with an introduction to cloud-native applications and core technologies like containers, orchestrators, and microservices. Examples are then given of how companies like Fujifilm and ASOS have benefited from serverless architectures on Azure. The document concludes with an overview of Azure serverless services like Functions, Event Grid, Cosmos DB, and Logic Apps and a sample serverless application architecture diagram.
No Hassle NoSQL - Amazon DynamoDB & Amazon DocumentDB | AWS Summit Tel Aviv ...
NoSQL databases are a great fit for many modern applications such as mobile, web, and gaming that require flexible, scalable, high-performance, and highly functional databases to provide great user experiences but they can be hard to manage and require high proficiency and attention.In this session we will present Amazon DynamoDB, a fully managed, multi-region, multi-master database that provides consistent single-digit millisecond latency in any scale.
Anatomy of a data driven architecture - Tamir Dresher
This presentation discuss the merits of a modern data pipeline architecture and the technology options that you could choose from
Deep Dive: Amazon DynamoDB
This document provides an overview and summary of a presentation on Amazon DynamoDB. The presentation will cover DynamoDB tables, APIs, data types, indexes, scaling, data modeling, scenarios and best practices. It will also discuss using DynamoDB Streams to enable cross-region replication and integration with other AWS services like S3, CloudSearch, ElastiCache and Redshift. The goal is to teach design patterns and best practices for building highly scalable applications with DynamoDB.
Building Real-Time Travel Alerts
Building Real-time Travel Alerts
In this session, we will walk through how to build a complete streaming application to send alerts based on travel advisories from public data. We will also join in other data sources of relevance and push out alerts.
We will show you how to build this streaming application with Apache NiFi, Apache Kafka, and Apache Flink and show you when/why/how, and what to build to maximize performance, productivity, and ease of development.
Let's get streaming.
Apache Flink
Apache Kafka
Apache NiFi
FLaNK Stack
Tim Spann
Big Data Conference Europe 2023
Migrating Single-Tenant Applications to Multi-Tenant SaaS (ARC326-R1) - AWS r...
The appeal of SaaS has many ISVs interested in the power and value of delivering their solutions in a SaaS model. However, moving a single-tenant application to a multi-tenant environment can be daunting. In this session, we'll look at the obstacles that many ISVs face as they consider the move to a SaaS delivery model. We'll explore a wide range of transformation patterns that cover everything from lift-and-shift of your monolith to an incremental cutover to multi-tenant aware microservices, data, and infrastructure. Along the way, we'll highlight the challenges and technical considerations that shape your solution and allow you to better align your transformed solution with SaaS best practices. This includes looking at all the new architectural elements you'll need to add to your environment to support SaaS (onboarding, identity, billing, metering, analytics, and so on).
New Relic
This document summarizes New Relic, a software performance monitoring tool. It provides an overview of New Relic's history and competitors. Key points covered include how New Relic supports various programming languages and platforms, its ease of setup and use, different feature sets across pricing tiers, and examples of customer spend. The document also briefly discusses New Relic's future opportunities around analytics, security, container monitoring, and strategic partnerships.
New relic
This document summarizes New Relic's key features including out-of-the-box monitoring of real user performance, server monitoring, and proactive notifications. It also discusses advanced features for deeper performance analytics and complementary tools for monitoring jobs. The presentation concludes with discussing New Relic's backlog including custom tiers, deployment notifications, and custom alerts.
DevOps on AWS
The document discusses DevOps practices at Amazon Web Services (AWS). It begins with an overview of DevOps and how it has helped Amazon deploy code faster and more frequently. It then discusses specific DevOps tools and services offered by AWS, including AWS CodeCommit for source control, AWS CodeBuild for builds, AWS CodeDeploy for deployments, AWS CodePipeline for release orchestration, and AWS CodeStar for application development. The document explains how these services work together to enable continuous integration and continuous delivery workflows. It also discusses how AWS has implemented DevOps practices like infrastructure as code and monitoring within its own systems to deploy millions of times per day while maintaining quality, security and reliability.
Apache Kafka
This document provides an overview of Apache Kafka. It begins with defining Kafka as a distributed streaming platform and messaging system. It then lists the agenda which includes what Kafka is, why it is used, common use cases, major companies that use it, how it achieves high performance, and core concepts. Core concepts explained include topics, partitions, brokers, replication, leaders, and producers and consumers. The document also provides examples to illustrate these concepts.
Google Cloud Storage | Google Cloud Platform Tutorial | Google Cloud Architec...
(Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-architect-certification-training)
This tutorial on Google Cloud Storage will provide you with a detailed introduction to the various Cloud Storage Services provided by Google. You will also get hands-on on each of the storage options.
Git for Excel
When dealing with critical Excel workbooks, you want to have proper source control in place. This presentation is about the different challenges we face when using Git with Excel files and how we can solve them by using the right mix of settings, extensions and Git workflow.
Azure integration services from the IT Professional perspective
Presentation about how to leverage the Microsoft Azure technologies to help the IT Pro to execute their daily tasks
Container Orchestration
Discussion of orchestration related to container engines and accompanying services that provide augmented orchestration, including Cloudify
Introduction to Azure Event Grid
Event Grid is a fully managed event routing service in Azure that uses a publisher-subscriber model to route events from sources to subscribers. It handles routing and delivery of events from many sources and subscribers in a reliable, secure, and scalable way. Event Grid is designed for building reactive, event-driven applications and works well for serverless and microservices architectures. Events are delivered from sources through topics to event handlers. Event Grid offers reliable delivery, filtering, authentication, and is agnostic to language or platform.
AWS Cloud organizations presentation
This presentation covers topics on AWS Organizations meant to educate and prepare those taking the AWS SAA exams
Wavemaker express weekly #16 (2020)
本週媒體快遞內容：
• 消費者透視鏡－從餐飲集團到街邊小吃，沒戴口罩不做防疫，那生意就別做了！
• 行銷透視鏡－疫情激發廣告創意，４ 個防疫期間超吸睛的廣告案例
• 媒體透視鏡－音樂新世紀：串流 20 年來如何改變台灣樂壇文化面貌
• 數據趨勢－防疫宅經濟刺激 App 消費爆衝史上新高
• 媒體相關新聞
• 收視率排行榜
• 網站流量 TOP 20－2020 年 2 月行動裝置瀏覽器
2012 Global Digital Music Industry Research by WhiteNoise
2012 Global Digital Music Industry Research by WhiteNoise
More Related Content
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Achieving a 50% Reduction in Cross-AZ Network Costs from Kafka (Uday Sagar Si...
Cloud providers like AWS allow free data transfers within an Availability Zone (AZ), but bill users when data moves between AZs. When the data volume streamed through Kafka reaches big data scale, (e.g. numeric data points or user activity tracking), the costs incurred by cross-AZ traffic can add significantly to your monthly cloud spend. Since Kafka serves reads and writes only from leader partitions, for a topic with a replication factor of 3, a message sent through Kafka can cross AZs up to 4 times. Once when a producer produces a message onto broker in a different AZ, two times during Kafka replication, and once more during message consumption. With careful design, we can eliminate the first and last part of the cross AZ traffic. We can also use message compression strategies provided by Kafka to reduce costs during replication. In this talk, we will discuss the architectural choices that allow us to ensure a Kafka message is produced and consumed within a single AZ, as well as an algorithm that lets consumers intelligently subscribe to partitions with leaders in the same AZ. We will also cover use cases in which cross-AZ message streaming is unavoidable due to design limitations. Talk outline: 1) A review of Kafka replication, 2) Cross-AZ traffic implications, 3) Architectural choices for AZ-aware message streaming, 4) Algorithms for AZ-aware producers and consumers, 5) Results, 6) Limitations, 7) Takeaways.
Apache Kafka Architecture & Fundamentals Explained
Watch this talk here: https://www.confluent.io/online-talks/apache-kafka-architecture-and-fundamentals-explained-on-demand
This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Learn about the underlying design in Kafka that leads to such high throughput.
This talk provides a comprehensive overview of Kafka architecture and internal functions, including:
-Topics, partitions and segments
-The commit log and streams
-Brokers and broker replication
-Producer basics
-Consumers, consumer groups and offsets
This session is part 2 of 4 in our Fundamentals for Apache Kafka series.
What is AWS Glue
AWS Glue is a serverless data integration service that allows users to discover, prepare, and transform data for analytics and machine learning. It provides a fully managed extract, transform, and load (ETL) service on AWS. AWS Glue crawls data sources, automatically extracts metadata and stores it in a centralized data catalog. It then executes ETL jobs developed by users to clean, enrich and move data between various data stores.
Challenges of Kubernetes On-premise Deployment
The document discusses challenges of deploying Kubernetes on-premise, including how load balancers are provisioned without cloud providers, using Nginx and Haproxy for load balancing on bare metal. It also covers how persistent volumes are provisioned with CSI drivers like Ember CSI to interface with storage backends, and tools for deploying and managing on-premise Kubernetes clusters like RKE.
Cloud Native Apps
This document discusses cloud-native applications and serverless computing. It begins with an introduction to cloud-native applications and core technologies like containers, orchestrators, and microservices. Examples are then given of how companies like Fujifilm and ASOS have benefited from serverless architectures on Azure. The document concludes with an overview of Azure serverless services like Functions, Event Grid, Cosmos DB, and Logic Apps and a sample serverless application architecture diagram.
No Hassle NoSQL - Amazon DynamoDB & Amazon DocumentDB | AWS Summit Tel Aviv ...
NoSQL databases are a great fit for many modern applications such as mobile, web, and gaming that require flexible, scalable, high-performance, and highly functional databases to provide great user experiences but they can be hard to manage and require high proficiency and attention.In this session we will present Amazon DynamoDB, a fully managed, multi-region, multi-master database that provides consistent single-digit millisecond latency in any scale.
Anatomy of a data driven architecture - Tamir Dresher
This presentation discuss the merits of a modern data pipeline architecture and the technology options that you could choose from
Deep Dive: Amazon DynamoDB
This document provides an overview and summary of a presentation on Amazon DynamoDB. The presentation will cover DynamoDB tables, APIs, data types, indexes, scaling, data modeling, scenarios and best practices. It will also discuss using DynamoDB Streams to enable cross-region replication and integration with other AWS services like S3, CloudSearch, ElastiCache and Redshift. The goal is to teach design patterns and best practices for building highly scalable applications with DynamoDB.
Building Real-Time Travel Alerts
Building Real-time Travel Alerts
In this session, we will walk through how to build a complete streaming application to send alerts based on travel advisories from public data. We will also join in other data sources of relevance and push out alerts.
We will show you how to build this streaming application with Apache NiFi, Apache Kafka, and Apache Flink and show you when/why/how, and what to build to maximize performance, productivity, and ease of development.
Let's get streaming.
Apache Flink
Apache Kafka
Apache NiFi
FLaNK Stack
Tim Spann
Big Data Conference Europe 2023
Migrating Single-Tenant Applications to Multi-Tenant SaaS (ARC326-R1) - AWS r...
The appeal of SaaS has many ISVs interested in the power and value of delivering their solutions in a SaaS model. However, moving a single-tenant application to a multi-tenant environment can be daunting. In this session, we'll look at the obstacles that many ISVs face as they consider the move to a SaaS delivery model. We'll explore a wide range of transformation patterns that cover everything from lift-and-shift of your monolith to an incremental cutover to multi-tenant aware microservices, data, and infrastructure. Along the way, we'll highlight the challenges and technical considerations that shape your solution and allow you to better align your transformed solution with SaaS best practices. This includes looking at all the new architectural elements you'll need to add to your environment to support SaaS (onboarding, identity, billing, metering, analytics, and so on).
New Relic
This document summarizes New Relic, a software performance monitoring tool. It provides an overview of New Relic's history and competitors. Key points covered include how New Relic supports various programming languages and platforms, its ease of setup and use, different feature sets across pricing tiers, and examples of customer spend. The document also briefly discusses New Relic's future opportunities around analytics, security, container monitoring, and strategic partnerships.
New relic
This document summarizes New Relic's key features including out-of-the-box monitoring of real user performance, server monitoring, and proactive notifications. It also discusses advanced features for deeper performance analytics and complementary tools for monitoring jobs. The presentation concludes with discussing New Relic's backlog including custom tiers, deployment notifications, and custom alerts.
DevOps on AWS
The document discusses DevOps practices at Amazon Web Services (AWS). It begins with an overview of DevOps and how it has helped Amazon deploy code faster and more frequently. It then discusses specific DevOps tools and services offered by AWS, including AWS CodeCommit for source control, AWS CodeBuild for builds, AWS CodeDeploy for deployments, AWS CodePipeline for release orchestration, and AWS CodeStar for application development. The document explains how these services work together to enable continuous integration and continuous delivery workflows. It also discusses how AWS has implemented DevOps practices like infrastructure as code and monitoring within its own systems to deploy millions of times per day while maintaining quality, security and reliability.
Apache Kafka
This document provides an overview of Apache Kafka. It begins with defining Kafka as a distributed streaming platform and messaging system. It then lists the agenda which includes what Kafka is, why it is used, common use cases, major companies that use it, how it achieves high performance, and core concepts. Core concepts explained include topics, partitions, brokers, replication, leaders, and producers and consumers. The document also provides examples to illustrate these concepts.
Google Cloud Storage | Google Cloud Platform Tutorial | Google Cloud Architec...
(Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-architect-certification-training)
This tutorial on Google Cloud Storage will provide you with a detailed introduction to the various Cloud Storage Services provided by Google. You will also get hands-on on each of the storage options.
Git for Excel
When dealing with critical Excel workbooks, you want to have proper source control in place. This presentation is about the different challenges we face when using Git with Excel files and how we can solve them by using the right mix of settings, extensions and Git workflow.
Azure integration services from the IT Professional perspective
Presentation about how to leverage the Microsoft Azure technologies to help the IT Pro to execute their daily tasks
Container Orchestration
Discussion of orchestration related to container engines and accompanying services that provide augmented orchestration, including Cloudify
Introduction to Azure Event Grid
Event Grid is a fully managed event routing service in Azure that uses a publisher-subscriber model to route events from sources to subscribers. It handles routing and delivery of events from many sources and subscribers in a reliable, secure, and scalable way. Event Grid is designed for building reactive, event-driven applications and works well for serverless and microservices architectures. Events are delivered from sources through topics to event handlers. Event Grid offers reliable delivery, filtering, authentication, and is agnostic to language or platform.
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This presentation covers topics on AWS Organizations meant to educate and prepare those taking the AWS SAA exams
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Achieving a 50% Reduction in Cross-AZ Network Costs from Kafka (Uday Sagar Si...
Achieving a 50% Reduction in Cross-AZ Network Costs from Kafka (Uday Sagar Si...
Apache Kafka Architecture & Fundamentals Explained
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No Hassle NoSQL - Amazon DynamoDB & Amazon DocumentDB | AWS Summit Tel Aviv ...
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• 數據趨勢－2018 至 2019 年台灣網路行為趨勢觀察與比較
• 媒體相關新聞
• 收視率排行榜
• 網站流量TOP 20－2020 年 1 月 串流影音類
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每週媒體快遞內容也會同步更新到 「Wavemaker媒體庫」的臉書官方粉絲團
Wavemaker express weekly #50
本週週報內容：
• 媒體透視鏡－近兩成民眾是純手機族，20~30世代最多
• 行銷透視鏡－2018公益行銷最狂案例，橫掃坎城創意節16個獎項
• 產業直擊－生理經濟：棉條及月亮杯需加強溝通破心魔
• 數據趨勢－亞太地區旅遊熱門目的地
• 媒體相關新聞
• 收視率排行榜
• 網站流量TOP 20－2018年10月 行動裝置應用程式
[mobidays]KM-Report（韩国移动市场的最新潮流一目了然）
由韩国移动专门销售公司Mobidays定期发行的M-Report的中文版本，KM-Report正式公布！韩国移动市场的最新潮流一目了然。本月版本的主要目录是：1.惊天动地的大规模投资 2.跨出国境，走向世界 3.再见2014，你好2015 4.国内各大电视台正式告别Youtube 5.Daumkakao VS Naver 6.中国IT界领军企业争先涌向韩国移动支付市场 7.争议热点-UBER
【博士觀點 5】DOOH+MOOH 家外媒體新視野！【 Posterscope Insight Vol.5】
內容簡介：
市場供需觀測站 : 2015年Q3家外媒體廣告量成長2.7%
家外新新聞 : 家外媒體 結合O2O購物體驗
商圈新訊 : Wi-Fi＋OOH 匯聚新體驗商圈
媒體新知 : 超人氣酒場廣告 / 飛鏢機台廣告
亮點案例 : 乳香世家-奶泡與咖啡的奇幻旅程 / 純喫茶在高捷大玩創意！
全球最大數位家外廣告計劃 為公益發聲! / 部落衝突 全面開戰！
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Kkbox策略圖解案例應用
- 1. 從機動策略看KKBOX
Editor's Notes
- 創造新市場，成為全球串流音樂先行者。勇敢率先向華研取得合法版權，並以數位音樂DRM技術保護版權。看準未來法規對版權的保護，再搭上寬頻以及智慧型手機等行動裝置的普及，聽眾規模擴大並成長快速。Apple itunes 付費模式在亞洲行不通。
- 未來能不能提供更多更好的使用體驗？如果我們可以，那消費者就會願意因為要享受更好的使用體驗去付費。
- 已連續11年舉辦風雲榜。風雲榜得獎名單由台灣、日本、香港、新加坡、馬來西亞與泰國等地全年近百億次的點播統計所產生，具廣大的民意基礎及業界指標性，也突顯亞洲流行文化趨勢與音樂影響力。
- 面對供不應求的狀況，KKBOX的方法則是做出更好的售票系統，並提供現場直播。 面對盜版，採取反向策略，在尚未形成市場的階段，不屈不撓地創造需求。 開拓過去不付費聽音樂的客層，創造全新價值體驗的服務。
- 留住本業為核心事業，擴大至演唱會直播、演唱會等活動售票系統、影視內容串流技術、影視OTT服務，甚至電子商務與創新孵化器等等領域。
- 其他電信商都是做電影。縱然韓劇好像很熱門，但其實在台灣能看到的韓劇不到三分之一，我們設法去捕捉韓劇的漏網之魚。 以先行技術優勢，主打韓劇跟播。 同時 KKTV 也積極的投入自資製作「原創電速劇」，並且精選投資由優質獨立製片公司所自製的電視劇，企圖另創局面。在市場區隔的考量下，先考慮收集一些精緻的韓劇跟日劇，或者是某些台劇願意配合增加不一樣的版本，強調差異性 。 日本電信公司 KDDI 是 KKBOX 的最大股東，在他們的協助下得以跟日本電視台建立信任度，加上 KKBOX 在亞洲的品牌知名度高，拿著 KKBOX 的名片能縮短不少交涉的時間。 KKTV 很清楚，他們要主打的不是以時間換取金錢的年輕學生族群，而是在 20 到 40 歲，希望能夠花小錢得到高品質娛樂的族群，尤其是女性。 電視台業者其實也希望能更了解市場，而KKTV的合作採分潤模式，每個月都會提供報表，分享使用者數據，這在過去的電視市場是比較少見的，也因此提升了電視台業者的合作意願。
- 迅速把握和對手相反的優勢，結合自身股東以及龐大資金佈局，以跨產業整合保持長期成功優勢。
- Spotify的免費增值與長尾優勢（各種不同心境與類型的音樂）。
- 在免費與付費之間，巧妙設定界線。（時間限制，有廣告干擾） 以免費平台不斷儲存用戶資料，提供貼心的個人化，提高轉換成本，留住用戶。