SlideShare a Scribd company logo
1 of 27
HOW WE SCALE AS A TECH
STARTUP
Son Tran – Founder & CEO
Tung Nguyen – Head of Technical
A little about us
Giao hàng 24h
Our Products
TALA - Tiki E-commerce Platform
TOS - Tiki Operation System
CMS, Order fulfillment, Delivery, Inventory Management,…
Tiki
Mobile App
Tiki.vn
Responsive Web
E-Book store
Mobile Apps
Tiki App Miki App
Why technology matters?
Solving E-commerce
technology challenges
Tung Nguyen
Challenges
• Minimum Viable Product
• Customer-oriented
• Refactoring
• Don’t build everything
• Be friendly with SaaS, PaaS (Platform), IaaS (Infrastructure)
• Data-driven
Our Philosophies
Linux
Nginx
PHP/Python
MySQL/PosgreSQL
Technology Stack
System Architecture
Fastest PHP framework
Technology Stack - PHP Phalcon Framework
Reality - Less than 100ms response
time
More focus on business layer
• Problem:
• Lots of Product attributes
• JOIN too much
• Solution:
• Indexing with NoSQL (MongoDB)
• Transactions with MySQL
• Scaling with MySQL Replication
Technology Stack - Database
MySQL EAV - Entity-attribute value Model
MongoDB - Hierarchical Model
• Problem:
• Real-time data changes updating
• Availability, recovering from
disaster
• Solution
• Cache map
• Cache invalidator and builder
• Use persistent
• Engine: Redis
Technology Stack - Caching
How cache map works
• Problems:
• Real-time indexing
• Data aggregation (Facets)
• Performance and Scaling
• Solution
• ElasticSearch + MongoDB River
Technology Stack – Search Engine
Solving Super-events
What’s a super-event?
Daily traffic
Super-event peak
1. Hard to predict
2. Different behaviors
3. Investment cost
• August - Dzựt Cô Hồn Online
• November - Hội Sách Online
• December - Black-Friday, Cyber Monday, Online Shopping
Day
Provide incentives for customers to go online shopping more
Tiki Super Events
Event Dzựt Cô Hồn
• 2014
• 28K Likes/Shares
• 40K Registered users
• 300K Dzut actions
• 5K Requests/s
• 2015
• 67K Likes/Shares
• 150K Registered users
• 1.5M Dzut actions
• 20K Requests/s
• Case-studies
We had some attentions
Also from our companions
We survived
HOW?
A large and scalable platform
Hundreds times of load testing
Powered by
And also from Product Design
Customer-oriented Product
Culture
About Us
Or send your feedback to tung@tiki.vn and get a FREE coffee

More Related Content

What's hot

Building Bizweb Microservices with Docker
Building Bizweb Microservices with DockerBuilding Bizweb Microservices with Docker
Building Bizweb Microservices with DockerKhôi Nguyễn Minh
 
itlchn 20 - Kien truc he thong chung khoan - Phan 2
itlchn 20 - Kien truc he thong chung khoan - Phan 2itlchn 20 - Kien truc he thong chung khoan - Phan 2
itlchn 20 - Kien truc he thong chung khoan - Phan 2IT Expert Club
 
itlchn 20 - Kien truc he thong chung khoan - Phan 1
itlchn 20 - Kien truc he thong chung khoan - Phan 1itlchn 20 - Kien truc he thong chung khoan - Phan 1
itlchn 20 - Kien truc he thong chung khoan - Phan 1IT Expert Club
 
Unique ID generation in distributed systems
Unique ID generation in distributed systemsUnique ID generation in distributed systems
Unique ID generation in distributed systemsDave Gardner
 
Microservices for Application Modernisation
Microservices for Application ModernisationMicroservices for Application Modernisation
Microservices for Application ModernisationAjay Kumar Uppal
 
Avoiding the domino effect in our [micro]services (SOLID at macro-design level)
Avoiding the domino effect in our [micro]services (SOLID at macro-design level)Avoiding the domino effect in our [micro]services (SOLID at macro-design level)
Avoiding the domino effect in our [micro]services (SOLID at macro-design level)CodelyTV
 
Asynchronous processing in big system
Asynchronous processing in big systemAsynchronous processing in big system
Asynchronous processing in big systemNghia Minh
 
Microservice - Up to 500k CCU
Microservice - Up to 500k CCUMicroservice - Up to 500k CCU
Microservice - Up to 500k CCUViet Tran
 
Dual write strategies for microservices
Dual write strategies for microservicesDual write strategies for microservices
Dual write strategies for microservicesBilgin Ibryam
 
Introduction To RabbitMQ
Introduction To RabbitMQIntroduction To RabbitMQ
Introduction To RabbitMQKnoldus Inc.
 
Prometheus in Practice: High Availability with Thanos (DevOpsDays Edinburgh 2...
Prometheus in Practice: High Availability with Thanos (DevOpsDays Edinburgh 2...Prometheus in Practice: High Availability with Thanos (DevOpsDays Edinburgh 2...
Prometheus in Practice: High Availability with Thanos (DevOpsDays Edinburgh 2...Thomas Riley
 
APIsecure 2023 - API orchestration: to build resilient applications, Cherish ...
APIsecure 2023 - API orchestration: to build resilient applications, Cherish ...APIsecure 2023 - API orchestration: to build resilient applications, Cherish ...
APIsecure 2023 - API orchestration: to build resilient applications, Cherish ...apidays
 
How to reduce expenses on monitoring
How to reduce expenses on monitoringHow to reduce expenses on monitoring
How to reduce expenses on monitoringRomanKhavronenko
 
Introduction to Event-Driven Architecture
Introduction to Event-Driven Architecture Introduction to Event-Driven Architecture
Introduction to Event-Driven Architecture Solace
 
Microservice Architecture
Microservice ArchitectureMicroservice Architecture
Microservice ArchitectureNguyen Tung
 
Microservices Architecture Part 2 Event Sourcing and Saga
Microservices Architecture Part 2 Event Sourcing and SagaMicroservices Architecture Part 2 Event Sourcing and Saga
Microservices Architecture Part 2 Event Sourcing and SagaAraf Karsh Hamid
 

What's hot (20)

Sapo Microservices Architecture
Sapo Microservices ArchitectureSapo Microservices Architecture
Sapo Microservices Architecture
 
Building Bizweb Microservices with Docker
Building Bizweb Microservices with DockerBuilding Bizweb Microservices with Docker
Building Bizweb Microservices with Docker
 
itlchn 20 - Kien truc he thong chung khoan - Phan 2
itlchn 20 - Kien truc he thong chung khoan - Phan 2itlchn 20 - Kien truc he thong chung khoan - Phan 2
itlchn 20 - Kien truc he thong chung khoan - Phan 2
 
itlchn 20 - Kien truc he thong chung khoan - Phan 1
itlchn 20 - Kien truc he thong chung khoan - Phan 1itlchn 20 - Kien truc he thong chung khoan - Phan 1
itlchn 20 - Kien truc he thong chung khoan - Phan 1
 
Unique ID generation in distributed systems
Unique ID generation in distributed systemsUnique ID generation in distributed systems
Unique ID generation in distributed systems
 
Microservices for Application Modernisation
Microservices for Application ModernisationMicroservices for Application Modernisation
Microservices for Application Modernisation
 
Avoiding the domino effect in our [micro]services (SOLID at macro-design level)
Avoiding the domino effect in our [micro]services (SOLID at macro-design level)Avoiding the domino effect in our [micro]services (SOLID at macro-design level)
Avoiding the domino effect in our [micro]services (SOLID at macro-design level)
 
Asynchronous processing in big system
Asynchronous processing in big systemAsynchronous processing in big system
Asynchronous processing in big system
 
Microservice - Up to 500k CCU
Microservice - Up to 500k CCUMicroservice - Up to 500k CCU
Microservice - Up to 500k CCU
 
Dual write strategies for microservices
Dual write strategies for microservicesDual write strategies for microservices
Dual write strategies for microservices
 
Introduction To RabbitMQ
Introduction To RabbitMQIntroduction To RabbitMQ
Introduction To RabbitMQ
 
Prometheus in Practice: High Availability with Thanos (DevOpsDays Edinburgh 2...
Prometheus in Practice: High Availability with Thanos (DevOpsDays Edinburgh 2...Prometheus in Practice: High Availability with Thanos (DevOpsDays Edinburgh 2...
Prometheus in Practice: High Availability with Thanos (DevOpsDays Edinburgh 2...
 
APIsecure 2023 - API orchestration: to build resilient applications, Cherish ...
APIsecure 2023 - API orchestration: to build resilient applications, Cherish ...APIsecure 2023 - API orchestration: to build resilient applications, Cherish ...
APIsecure 2023 - API orchestration: to build resilient applications, Cherish ...
 
How to reduce expenses on monitoring
How to reduce expenses on monitoringHow to reduce expenses on monitoring
How to reduce expenses on monitoring
 
Elasticsearch
ElasticsearchElasticsearch
Elasticsearch
 
Introduction to Event-Driven Architecture
Introduction to Event-Driven Architecture Introduction to Event-Driven Architecture
Introduction to Event-Driven Architecture
 
Rabbitmq basics
Rabbitmq basicsRabbitmq basics
Rabbitmq basics
 
Microservice Architecture
Microservice ArchitectureMicroservice Architecture
Microservice Architecture
 
Introduction to microservices
Introduction to microservicesIntroduction to microservices
Introduction to microservices
 
Microservices Architecture Part 2 Event Sourcing and Saga
Microservices Architecture Part 2 Event Sourcing and SagaMicroservices Architecture Part 2 Event Sourcing and Saga
Microservices Architecture Part 2 Event Sourcing and Saga
 

Similar to Tiki.vn - How we scale as a tech startup

Driving the On-Demand Economy with Predictive Analytics
Driving the On-Demand Economy with Predictive AnalyticsDriving the On-Demand Economy with Predictive Analytics
Driving the On-Demand Economy with Predictive AnalyticsSingleStore
 
Introduction to the Typesafe Reactive Platform
Introduction to the Typesafe Reactive PlatformIntroduction to the Typesafe Reactive Platform
Introduction to the Typesafe Reactive PlatformBoldRadius Solutions
 
Powerful and Quick Workflow Automation Solutions with Nintex
Powerful and Quick Workflow Automation Solutions with NintexPowerful and Quick Workflow Automation Solutions with Nintex
Powerful and Quick Workflow Automation Solutions with NintexNetwoven Inc.
 
FewerClicks Software corporate profile
FewerClicks Software corporate profileFewerClicks Software corporate profile
FewerClicks Software corporate profileashish2509
 
Neo4j GraphDay Tel Aviv - Graphs in Action
Neo4j GraphDay Tel Aviv - Graphs in ActionNeo4j GraphDay Tel Aviv - Graphs in Action
Neo4j GraphDay Tel Aviv - Graphs in ActionNeo4j
 
Enterprise Integration Patterns Revisited (EIP) for the Era of Big Data, Inte...
Enterprise Integration Patterns Revisited (EIP) for the Era of Big Data, Inte...Enterprise Integration Patterns Revisited (EIP) for the Era of Big Data, Inte...
Enterprise Integration Patterns Revisited (EIP) for the Era of Big Data, Inte...Kai Wähner
 
AWS re:Invent 2016: Billions of Rows Transformed in Record Time Using Matilli...
AWS re:Invent 2016: Billions of Rows Transformed in Record Time Using Matilli...AWS re:Invent 2016: Billions of Rows Transformed in Record Time Using Matilli...
AWS re:Invent 2016: Billions of Rows Transformed in Record Time Using Matilli...Amazon Web Services
 
UTOUG Training Days 2019 Voyage to Visual Builder Cloud Service
UTOUG Training Days 2019 Voyage to Visual Builder Cloud ServiceUTOUG Training Days 2019 Voyage to Visual Builder Cloud Service
UTOUG Training Days 2019 Voyage to Visual Builder Cloud ServiceKaren Cannell
 
Real Time Big Data Processing on AWS
Real Time Big Data Processing on AWSReal Time Big Data Processing on AWS
Real Time Big Data Processing on AWSCaserta
 
The Agile Data Warehouse Webinar – Next Generation BI
The Agile Data Warehouse Webinar – Next Generation BIThe Agile Data Warehouse Webinar – Next Generation BI
The Agile Data Warehouse Webinar – Next Generation BIRightScale
 
Status Quo on the automation support in SOA Suite OGhTech17
Status Quo on the automation support in SOA Suite OGhTech17Status Quo on the automation support in SOA Suite OGhTech17
Status Quo on the automation support in SOA Suite OGhTech17Jon Petter Hjulstad
 
Rapid Prototyping for Big Data with AWS
Rapid Prototyping for Big Data with AWS Rapid Prototyping for Big Data with AWS
Rapid Prototyping for Big Data with AWS SoftServe
 
Spectranetics 11.6.13
Spectranetics 11.6.13Spectranetics 11.6.13
Spectranetics 11.6.13Mark Ames
 
Java Agile ALM: OTAP and DevOps in the Cloud
Java Agile ALM: OTAP and DevOps in the CloudJava Agile ALM: OTAP and DevOps in the Cloud
Java Agile ALM: OTAP and DevOps in the CloudMongoDB
 
Powering a Startup with Apache Spark with Kevin Kim
Powering a Startup with Apache Spark with Kevin KimPowering a Startup with Apache Spark with Kevin Kim
Powering a Startup with Apache Spark with Kevin KimSpark Summit
 
Neo4j GraphTalks - Einführung in Graphdatenbanken
Neo4j GraphTalks - Einführung in GraphdatenbankenNeo4j GraphTalks - Einführung in Graphdatenbanken
Neo4j GraphTalks - Einführung in GraphdatenbankenNeo4j
 

Similar to Tiki.vn - How we scale as a tech startup (20)

Driving the On-Demand Economy with Predictive Analytics
Driving the On-Demand Economy with Predictive AnalyticsDriving the On-Demand Economy with Predictive Analytics
Driving the On-Demand Economy with Predictive Analytics
 
Introduction to the Typesafe Reactive Platform
Introduction to the Typesafe Reactive PlatformIntroduction to the Typesafe Reactive Platform
Introduction to the Typesafe Reactive Platform
 
Oracle PaaS Cloud Preview Event
Oracle PaaS Cloud Preview EventOracle PaaS Cloud Preview Event
Oracle PaaS Cloud Preview Event
 
Powerful and Quick Workflow Automation Solutions with Nintex
Powerful and Quick Workflow Automation Solutions with NintexPowerful and Quick Workflow Automation Solutions with Nintex
Powerful and Quick Workflow Automation Solutions with Nintex
 
FewerClicks Software corporate profile
FewerClicks Software corporate profileFewerClicks Software corporate profile
FewerClicks Software corporate profile
 
Haufe's Tech Strategy In Practice
Haufe's Tech Strategy In PracticeHaufe's Tech Strategy In Practice
Haufe's Tech Strategy In Practice
 
Neo4j GraphDay Tel Aviv - Graphs in Action
Neo4j GraphDay Tel Aviv - Graphs in ActionNeo4j GraphDay Tel Aviv - Graphs in Action
Neo4j GraphDay Tel Aviv - Graphs in Action
 
Enterprise Integration Patterns Revisited (EIP) for the Era of Big Data, Inte...
Enterprise Integration Patterns Revisited (EIP) for the Era of Big Data, Inte...Enterprise Integration Patterns Revisited (EIP) for the Era of Big Data, Inte...
Enterprise Integration Patterns Revisited (EIP) for the Era of Big Data, Inte...
 
AWS re:Invent 2016: Billions of Rows Transformed in Record Time Using Matilli...
AWS re:Invent 2016: Billions of Rows Transformed in Record Time Using Matilli...AWS re:Invent 2016: Billions of Rows Transformed in Record Time Using Matilli...
AWS re:Invent 2016: Billions of Rows Transformed in Record Time Using Matilli...
 
Retail & CPG
Retail & CPGRetail & CPG
Retail & CPG
 
UTOUG Training Days 2019 Voyage to Visual Builder Cloud Service
UTOUG Training Days 2019 Voyage to Visual Builder Cloud ServiceUTOUG Training Days 2019 Voyage to Visual Builder Cloud Service
UTOUG Training Days 2019 Voyage to Visual Builder Cloud Service
 
Real Time Big Data Processing on AWS
Real Time Big Data Processing on AWSReal Time Big Data Processing on AWS
Real Time Big Data Processing on AWS
 
The Agile Data Warehouse Webinar – Next Generation BI
The Agile Data Warehouse Webinar – Next Generation BIThe Agile Data Warehouse Webinar – Next Generation BI
The Agile Data Warehouse Webinar – Next Generation BI
 
Status Quo on the automation support in SOA Suite OGhTech17
Status Quo on the automation support in SOA Suite OGhTech17Status Quo on the automation support in SOA Suite OGhTech17
Status Quo on the automation support in SOA Suite OGhTech17
 
Rapid Prototyping for Big Data with AWS
Rapid Prototyping for Big Data with AWS Rapid Prototyping for Big Data with AWS
Rapid Prototyping for Big Data with AWS
 
Spectranetics 11.6.13
Spectranetics 11.6.13Spectranetics 11.6.13
Spectranetics 11.6.13
 
About Tekmonks
About TekmonksAbout Tekmonks
About Tekmonks
 
Java Agile ALM: OTAP and DevOps in the Cloud
Java Agile ALM: OTAP and DevOps in the CloudJava Agile ALM: OTAP and DevOps in the Cloud
Java Agile ALM: OTAP and DevOps in the Cloud
 
Powering a Startup with Apache Spark with Kevin Kim
Powering a Startup with Apache Spark with Kevin KimPowering a Startup with Apache Spark with Kevin Kim
Powering a Startup with Apache Spark with Kevin Kim
 
Neo4j GraphTalks - Einführung in Graphdatenbanken
Neo4j GraphTalks - Einführung in GraphdatenbankenNeo4j GraphTalks - Einführung in Graphdatenbanken
Neo4j GraphTalks - Einführung in Graphdatenbanken
 

Recently uploaded

Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...AliaaTarek5
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Scott Andery
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationKnoldus Inc.
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityIES VE
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Mark Goldstein
 

Recently uploaded (20)

Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog Presentation
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a reality
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
 

Tiki.vn - How we scale as a tech startup

Editor's Notes

  1. Chia sẻ số liệu
  2. Dẫn dắt: Product/Tech team luôn luôn phải đối mặt với cả núi TO-DO cần giải quyết, trong khi đối thủ cạnh tranh thì nguồn lực dồi dào Bài toán luôn phải giải quyết là Làm những việc thực sự cần nhất với nguồn lực hữu hạn. Priority: - Có lợi cho khách hàng thì làm - MVP – Thử làm liền - Data Driven – Nguyên tắc lựa chọn giải pháp - Refactoring: Không nhầm lẫn với việc làm nhanh nhưng ẩu => Refactoring liên tục, được remind bằng hệ thống (issues tracker) và con người (QC/PM/Team member)
  3. Sửa lại slide, mô tả mục đích từng icon