This document discusses gumi's infrastructure and services. It describes moving from 20 app servers to 90, scaling out Aurora from 3 to 11 instances, and increasing Redis instances from 1 to 14. The document also outlines gumi's approach to using AWS services like S3, CloudFront, Aurora, and Redis across public, private and management network segments.
[db tech showcase Tokyo 2018] #dbts2018 #C32 『Deep Dive on the Amazon Aurora ...Insight Technology, Inc.
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This document discusses Amazon Aurora, a MySQL and PostgreSQL compatible relational database built for the cloud. It provides three key advantages over traditional databases: self-healing with automatic failover, up to five times the throughput of MySQL, and up to three times the performance of PostgreSQL. Aurora is optimized for very high performance and availability and scales seamlessly to meet application demands.
The document discusses the basics of Git version control system including:
- Git allows tracking changes to files and coordinating work among contributors.
- Common Git commands like add, commit, push are covered to explain how changes are tracked locally and shared.
- Additional topics covered include branches, commits, checkouts and resets. Real examples are provided to demonstrate key Git concepts.
This document discusses NeuLion's products and services, including new features like support for 4K and HDR formats, improved quality of service for over-the-top services, and using HTML5 for content delivery. It highlights NeuLion's capabilities such as digital rights management, support for various device types, and closed captioning within an HTML5 player. The presentation concludes by thanking the audience.
This document contains multiple sections and diagrams related to Amazon Web Services (AWS) including:
- Diagrams showing synchronous and asynchronous workflows between AWS services like API Gateway, Lambda, DynamoDB, and S3.
- A template in AWS Serverless Application Model (SAM) format defining an AWS Lambda function and API Gateway endpoint.
- Images related to continuous integration/continuous delivery (CI/CD) pipelines in AWS.
The document discusses building and distributing Android apps using the Android App Bundle format. It covers creating an app bundle in Android Studio, generating a signed bundle, uploading the bundle to Google Play, and how the bundle format allows flexible delivery of features to different devices.
The document contains copyright information for Amazon Web Services and discusses machine learning techniques including model training, deployment, and inference. It references tools such as MXNet, SageMaker, IoT, Greengrass, and Kinesis and describes performing tasks like uploading data, training models, deploying models for inference on edge devices, and uploading results.
A practical walkthrough of the Angular Tour of Heroes demo application digitally remaster with serverless architecture. We will discuss hosting our SPA with CloudFront backed by API Gateway with data models sourced out of DynamoDB. We will also discuss setting up a CI pipeline for our application to allow for seamless zero downtime deployments
https://github.com/jongear/serverless-tour-of-heroes
The document discusses various ways to implement scheduled tasks and batch processing on AWS using services like Amazon EC2, ECS, Lambda, DynamoDB, and others. It provides examples of using EC2 instances, ECS, Lambda, and Fargate with scheduled events for periodic tasks as well as using SQS and DynamoDB for asynchronous batch processing. It also discusses using auto scaling, load balancing, and caching with these implementations.
This document discusses AWS services for startups. It includes:
1. An overview of Amazon Elastic Container Service (ECS) and AWS Fargate for deploying containerized applications without managing infrastructure.
2. A diagram of a sample CI/CD pipeline using CodePipeline, CodeBuild, CodeDeploy, and CodeCommit to continuously deploy code changes.
3. Growth hacking techniques like using AWS Analytics SDK and KPI metrics to optimize the customer experience.
The document discusses Amazon DynamoDB, a fully managed NoSQL database service provided by Amazon Web Services (AWS). Some key points covered include:
- DynamoDB provides fast and consistent performance for any scale workload, with unlimited throughput and storage.
- It offers encryption, access control, and is eligible for compliance with standards like PCI, HIPAA, and FIPS.
- DynamoDB has seen many advancements over the past 21 months, including new features like VPC endpoints, auto scaling, backup and restore, and adaptive capacity.
This document summarizes Amazon Game Tech Night #5 from GDC2018 and recaps Amazon's game tech solutions in 2018. It outlines several Amazon web services that can be used to support game development, such as Amazon API Gateway, Amazon DynamoDB, Amazon Lambda, and Amazon S3. It also provides information about Amazon's GameOn service, which allows developers to add multiplayer and social functionality to games. Links are included for the Amazon developer portal and GameOn documentation pages, which contain additional resources for building games on Amazon technologies.
The document appears to be a presentation or notes containing bullet points and sections written in different languages with technical terms but no clear overall narrative. It discusses topics like AWS services, Kubernetes, configurations, sessions, surveys and using hashtags but does not provide enough context to understand the purpose or content of the document. The document contains numerous copyright lines but no other contextual information.
This document discusses Amazon EC2 and EC2 Auto Scaling. It provides an overview of EC2 and EC2 Auto Scaling, how to use Spot Instances and Spot Fleets with Auto Scaling groups to reduce costs, and how to configure Auto Scaling groups to use a mix of On-Demand and Spot Instances across Availability Zones for fault tolerance. Key points covered include load balancing flexible workloads, optimizing for vCPU usage, and integrating EC2 Auto Scaling with existing EC2 resources.
The document contains code snippets and configuration examples related to Spring Security OAuth 2.0 client integration for authenticating with external OAuth providers like Facebook and XXX. It includes dependency and configuration properties for OAuth client registration and authorization code grant flow. Code snippets show interfaces for CRUD repositories and examples of tailing MongoDB queries with reactive repositories.
The document discusses Google Assistant apps and building Google Actions using Node.js. It covers Namito Satoyama's presentation at Interop Tokyo Conference 2018 on AI and building Google Actions for Google Assistant, Google Maps, and other platforms using JavaScript and Node.js. The presentation included information on the Actions on Google client library, how to set up a Firebase project to deploy functions, and developing Google Actions for various devices and interfaces.
The document contains technical information and instructions related to continuous deployment and DevOps. It includes references to GitHub repositories, commands to clone repositories and deploy applications, as well as descriptions of DevOps tools and processes. Copyright information is displayed at the bottom of each page.
This document discusses Amazon Web Services (AWS) Internet of Things (IoT) solutions. It provides an overview of the AWS IoT portfolio including AWS Greengrass, AWS IoT Core, Amazon FreeRTOS, AWS IoT Device Management, AWS IoT Device Defender, and AWS IoT Analytics. It also describes how AWS Greengrass allows devices to act locally by running AWS Lambda functions, containers, and models on IoT devices. Finally, it lists the schedule for the AWS Summit Tokyo 2019 including sessions on AWS IoT and an IoT/ML deep dive on AWS.
This document discusses bi-directional access to live application, database, and web API data through standard drivers. It enables real-time data integration with hundreds of applications, databases, and web APIs. It also discusses drivers for NoSQL, big data, and SaaS connectivity that are embedded in leading business intelligence, extract-transform-load, data integration, data virtualization, and data warehousing tools. Finally, it discusses building REST APIs for databases with clicks to enable mobile and web applications to access database data.
How Reddit Scales to 1B+ Video Views a Month Using AWS (CTD320) - AWS re:Inve...Amazon Web Services
?
Reddit uses AWS services to process over 1 billion video views per month. They implemented a video pipeline using Amazon S3 for storage, AWS Lambda for processing uploads and triggering transcoding, Amazon Elastic Transcoder for transcoding videos, Amazon SNS for notifications, and Amazon SQS for queuing posts. This scalable architecture on AWS allows Reddit to easily handle 10,000+ daily uploads with minimal infrastructure.
The document discusses AIoT (Artificial Intelligence of Things) and AWS services that can be used for AIoT applications. It covers AWS Greengrass for deploying machine learning models to edge devices, SageMaker Ground Truth for data labeling, and SageMaker Neo for compiling models for deployment on edge devices. It also mentions using services like IoT Core, IoT Analytics and IoT SiteWise with edge devices.
The document discusses building and distributing Android apps using the Android App Bundle format. It covers creating an app bundle in Android Studio, generating a signed bundle, uploading the bundle to Google Play, and how the bundle format allows flexible delivery of features to different devices.
The document contains copyright information for Amazon Web Services and discusses machine learning techniques including model training, deployment, and inference. It references tools such as MXNet, SageMaker, IoT, Greengrass, and Kinesis and describes performing tasks like uploading data, training models, deploying models for inference on edge devices, and uploading results.
A practical walkthrough of the Angular Tour of Heroes demo application digitally remaster with serverless architecture. We will discuss hosting our SPA with CloudFront backed by API Gateway with data models sourced out of DynamoDB. We will also discuss setting up a CI pipeline for our application to allow for seamless zero downtime deployments
https://github.com/jongear/serverless-tour-of-heroes
The document discusses various ways to implement scheduled tasks and batch processing on AWS using services like Amazon EC2, ECS, Lambda, DynamoDB, and others. It provides examples of using EC2 instances, ECS, Lambda, and Fargate with scheduled events for periodic tasks as well as using SQS and DynamoDB for asynchronous batch processing. It also discusses using auto scaling, load balancing, and caching with these implementations.
This document discusses AWS services for startups. It includes:
1. An overview of Amazon Elastic Container Service (ECS) and AWS Fargate for deploying containerized applications without managing infrastructure.
2. A diagram of a sample CI/CD pipeline using CodePipeline, CodeBuild, CodeDeploy, and CodeCommit to continuously deploy code changes.
3. Growth hacking techniques like using AWS Analytics SDK and KPI metrics to optimize the customer experience.
The document discusses Amazon DynamoDB, a fully managed NoSQL database service provided by Amazon Web Services (AWS). Some key points covered include:
- DynamoDB provides fast and consistent performance for any scale workload, with unlimited throughput and storage.
- It offers encryption, access control, and is eligible for compliance with standards like PCI, HIPAA, and FIPS.
- DynamoDB has seen many advancements over the past 21 months, including new features like VPC endpoints, auto scaling, backup and restore, and adaptive capacity.
This document summarizes Amazon Game Tech Night #5 from GDC2018 and recaps Amazon's game tech solutions in 2018. It outlines several Amazon web services that can be used to support game development, such as Amazon API Gateway, Amazon DynamoDB, Amazon Lambda, and Amazon S3. It also provides information about Amazon's GameOn service, which allows developers to add multiplayer and social functionality to games. Links are included for the Amazon developer portal and GameOn documentation pages, which contain additional resources for building games on Amazon technologies.
The document appears to be a presentation or notes containing bullet points and sections written in different languages with technical terms but no clear overall narrative. It discusses topics like AWS services, Kubernetes, configurations, sessions, surveys and using hashtags but does not provide enough context to understand the purpose or content of the document. The document contains numerous copyright lines but no other contextual information.
This document discusses Amazon EC2 and EC2 Auto Scaling. It provides an overview of EC2 and EC2 Auto Scaling, how to use Spot Instances and Spot Fleets with Auto Scaling groups to reduce costs, and how to configure Auto Scaling groups to use a mix of On-Demand and Spot Instances across Availability Zones for fault tolerance. Key points covered include load balancing flexible workloads, optimizing for vCPU usage, and integrating EC2 Auto Scaling with existing EC2 resources.
The document contains code snippets and configuration examples related to Spring Security OAuth 2.0 client integration for authenticating with external OAuth providers like Facebook and XXX. It includes dependency and configuration properties for OAuth client registration and authorization code grant flow. Code snippets show interfaces for CRUD repositories and examples of tailing MongoDB queries with reactive repositories.
The document discusses Google Assistant apps and building Google Actions using Node.js. It covers Namito Satoyama's presentation at Interop Tokyo Conference 2018 on AI and building Google Actions for Google Assistant, Google Maps, and other platforms using JavaScript and Node.js. The presentation included information on the Actions on Google client library, how to set up a Firebase project to deploy functions, and developing Google Actions for various devices and interfaces.
The document contains technical information and instructions related to continuous deployment and DevOps. It includes references to GitHub repositories, commands to clone repositories and deploy applications, as well as descriptions of DevOps tools and processes. Copyright information is displayed at the bottom of each page.
This document discusses Amazon Web Services (AWS) Internet of Things (IoT) solutions. It provides an overview of the AWS IoT portfolio including AWS Greengrass, AWS IoT Core, Amazon FreeRTOS, AWS IoT Device Management, AWS IoT Device Defender, and AWS IoT Analytics. It also describes how AWS Greengrass allows devices to act locally by running AWS Lambda functions, containers, and models on IoT devices. Finally, it lists the schedule for the AWS Summit Tokyo 2019 including sessions on AWS IoT and an IoT/ML deep dive on AWS.
This document discusses bi-directional access to live application, database, and web API data through standard drivers. It enables real-time data integration with hundreds of applications, databases, and web APIs. It also discusses drivers for NoSQL, big data, and SaaS connectivity that are embedded in leading business intelligence, extract-transform-load, data integration, data virtualization, and data warehousing tools. Finally, it discusses building REST APIs for databases with clicks to enable mobile and web applications to access database data.
How Reddit Scales to 1B+ Video Views a Month Using AWS (CTD320) - AWS re:Inve...Amazon Web Services
?
Reddit uses AWS services to process over 1 billion video views per month. They implemented a video pipeline using Amazon S3 for storage, AWS Lambda for processing uploads and triggering transcoding, Amazon Elastic Transcoder for transcoding videos, Amazon SNS for notifications, and Amazon SQS for queuing posts. This scalable architecture on AWS allows Reddit to easily handle 10,000+ daily uploads with minimal infrastructure.
The document discusses AIoT (Artificial Intelligence of Things) and AWS services that can be used for AIoT applications. It covers AWS Greengrass for deploying machine learning models to edge devices, SageMaker Ground Truth for data labeling, and SageMaker Neo for compiling models for deployment on edge devices. It also mentions using services like IoT Core, IoT Analytics and IoT SiteWise with edge devices.
The document appears to be a presentation from the Developers Summit 2019 hosted by DENSO Corporation. It discusses DENSO's initiatives in IT and digital innovation. The presentation was given by Yoshiei Sato and Susumu Tomita from DENSO's Digital Innovation, Engineering Research & Development department. The document contains technical details and diagrams related to software development, data processing, and connected vehicle technologies.
This document discusses Amazon S3 and Glacier storage services. It provides an overview of S3 and Glacier, including how they are used to store and retrieve objects, their scalability and availability features, and pricing and billing models. The document also compares S3 and Glacier and how they are suited for different storage needs based on access frequency and cost.
This document summarizes a presentation on machine learning given by Masaki Samejima at the 2019 Developers Summit. The presentation covered topics including computer vision models and frameworks, model serving, AutoML, and hardware for machine learning. Key frameworks discussed were MXNet, Gluon, PyTorch, TensorFlow and ONNX. The document also provided examples of computer vision tasks like classification, detection and segmentation as well as generative models.
Just like life, our code must evolve to meet the demands of an ever-changing world. Adaptability is key in developing for the web, tablets, APIs, or serverless applications. Multi-runtime development is the future, and that future is dynamic. Enter BoxLang: Dynamic. Modular. Productive. (www.boxlang.io)
BoxLang transforms development with its dynamic design, enabling developers to write expressive, functional code effortlessly. Its modular architecture ensures flexibility, allowing easy integration into your existing ecosystems.
Interoperability at Its Core
BoxLang boasts 100% interoperability with Java, seamlessly blending traditional and modern development practices. This opens up new possibilities for innovation and collaboration.
Multi-Runtime Versatility
From a compact 6MB OS binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, WebAssembly, Android, and more, BoxLang is designed to adapt to any runtime environment. BoxLang combines modern features from CFML, Node, Ruby, Kotlin, Java, and Clojure with the familiarity of Java bytecode compilation. This makes it the go-to language for developers looking to the future while building a solid foundation.
Empowering Creativity with IDE Tools
Unlock your creative potential with powerful IDE tools designed for BoxLang, offering an intuitive development experience that streamlines your workflow. Join us as we redefine JVM development and step into the era of BoxLang. Welcome to the future.
Technology use over time and its impact on consumers and businesses.pptxkaylagaze
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In this presentation, I explore how technology has changed consumer behaviour and its impact on consumers and businesses. I will focus on internet access, digital devices, how customers search for information and what they buy online, video consumption, and lastly consumer trends.
Backstage Software Templates for Java DevelopersMarkus Eisele
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As a Java developer you might have a hard time accepting the limitations that you feel being introduced into your development cycles. Let's look at the positives and learn everything important to know to turn Backstag's software templates into a helpful tool you can use to elevate the platform experience for all developers.
FinTech - US Annual Funding Report - 2024.pptxTracxn
?
US FinTech 2024, offering a comprehensive analysis of key trends, funding activities, and top-performing sectors that shaped the FinTech ecosystem in the US 2024. The report delivers detailed data and insights into the region's funding landscape and other developments. We believe this report will provide you with valuable insights to understand the evolving market dynamics.
TrustArc Webinar - Building your DPIA/PIA Program: Best Practices & TipsTrustArc
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Understanding DPIA/PIAs and how to implement them can be the key to embedding privacy in the heart of your organization as well as achieving compliance with multiple data protection / privacy laws, such as GDPR and CCPA. Indeed, the GDPR mandates Privacy by Design and requires documented Data Protection Impact Assessments (DPIAs) for high risk processing and the EU AI Act requires an assessment of fundamental rights.
How can you build this into a sustainable program across your business? What are the similarities and differences between PIAs and DPIAs? What are the best practices for integrating PIAs/DPIAs into your data privacy processes?
Whether you're refining your compliance framework or looking to enhance your PIA/DPIA execution, this session will provide actionable insights and strategies to ensure your organization meets the highest standards of data protection.
Join our panel of privacy experts as we explore:
- DPIA & PIA best practices
- Key regulatory requirements for conducting PIAs and DPIAs
- How to identify and mitigate data privacy risks through comprehensive assessments
- Strategies for ensuring documentation and compliance are robust and defensible
- Real-world case studies that highlight common pitfalls and practical solutions
THE BIG TEN BIOPHARMACEUTICAL MNCs: GLOBAL CAPABILITY CENTERS IN INDIASrivaanchi Nathan
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This business intelligence report, "The Big Ten Biopharmaceutical MNCs: Global Capability Centers in India", provides an in-depth analysis of the operations and contributions of the Global Capability Centers (GCCs) of ten leading biopharmaceutical multinational corporations in India. The report covers AstraZeneca, Bayer, Bristol Myers Squibb, GlaxoSmithKline (GSK), Novartis, Sanofi, Roche, Pfizer, Novo Nordisk, and Eli Lilly. In this report each company's GCC is profiled with details on location, workforce size, investment, and the strategic roles these centers play in global business operations, research and development, and information technology and digital innovation.
30B Images and Counting: Scaling Canva's Content-Understanding Pipelines by K...ScyllaDB
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Scaling content understanding for billions of images is no easy feat. This talk dives into building extreme label classification models, balancing accuracy & speed, and optimizing ML pipelines for scale. You'll learn new ways to tackle real-time performance challenges in massive data environments.
Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar PatturajScyllaDB
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Freshworks migrated from Cassandra to ScyllaDB to handle growing audit log data efficiently. Cassandra required frequent scaling, complex repairs, and had non-linear scaling. ScyllaDB reduced costs with fewer machines and improved operations. Using Zero Downtime Migration (ZDM), they bulk-migrated data, performed dual writes, and validated consistency.
Many MSPs overlook endpoint backup, missing out on additional profit and leaving a gap that puts client data at risk.
Join our webinar as we break down the top challenges of endpoint backup—and how to overcome them.
UiPath Agentic Automation Capabilities and OpportunitiesDianaGray10
?
Learn what UiPath Agentic Automation capabilities are and how you can empower your agents with dynamic decision making. In this session we will cover these topics:
What do we mean by Agents
Components of Agents
Agentic Automation capabilities
What Agentic automation delivers and AI Tools
Identifying Agent opportunities
? If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.
https://ncracked.com/7961-2/
Note: >> Please copy the link and paste it into Google New Tab now Download link
Free Download Wondershare Filmora 14.3.2.11147 Full Version - All-in-one home video editor to make a great video.Free Download Wondershare Filmora for Windows PC is an all-in-one home video editor with powerful functionality and a fully stacked feature set. Filmora has a simple drag-and-drop top interface, allowing you to be artistic with the story you want to create.Video Editing Simplified - Ignite Your Story. A powerful and intuitive video editing experience. Filmora 10 hash two new ways to edit: Action Cam Tool (Correct lens distortion, Clean up your audio, New speed controls) and Instant Cutter (Trim or merge clips quickly, Instant export).Filmora allows you to create projects in 4:3 or 16:9, so you can crop the videos or resize them to fit the size you want. This way, quickly converting a widescreen material to SD format is possible.
UiPath Automation Developer Associate Training Series 2025 - Session 1DianaGray10
?
Welcome to UiPath Automation Developer Associate Training Series 2025 - Session 1.
In this session, we will cover the following topics:
Introduction to RPA & UiPath Studio
Overview of RPA and its applications
Introduction to UiPath Studio
Variables & Data Types
Control Flows
You are requested to finish the following self-paced training for this session:
Variables, Constants and Arguments in Studio 2 modules - 1h 30m - https://academy.uipath.com/courses/variables-constants-and-arguments-in-studio
Control Flow in Studio 2 modules - 2h 15m - https:/academy.uipath.com/courses/control-flow-in-studio
?? For any questions you may have, please use the dedicated Forum thread. You can tag the hosts and mentors directly and they will reply as soon as possible.
Field Device Management Market Report 2030 - TechSci ResearchVipin Mishra
?
The Global Field Device Management (FDM) Market is expected to experience significant growth in the forecast period from 2026 to 2030, driven by the integration of advanced technologies aimed at improving industrial operations.
? According to TechSci Research, the Global Field Device Management Market was valued at USD 1,506.34 million in 2023 and is anticipated to grow at a CAGR of 6.72% through 2030. FDM plays a vital role in the centralized oversight and optimization of industrial field devices, including sensors, actuators, and controllers.
Key tasks managed under FDM include:
Configuration
Monitoring
Diagnostics
Maintenance
Performance optimization
FDM solutions offer a comprehensive platform for real-time data collection, analysis, and decision-making, enabling:
Proactive maintenance
Predictive analytics
Remote monitoring
By streamlining operations and ensuring compliance, FDM enhances operational efficiency, reduces downtime, and improves asset reliability, ultimately leading to greater performance in industrial processes. FDM’s emphasis on predictive maintenance is particularly important in ensuring the long-term sustainability and success of industrial operations.
For more information, explore the full report: https://shorturl.at/EJnzR
Major companies operating in Global?Field Device Management Market are:
General Electric Co
Siemens AG
ABB Ltd
Emerson Electric Co
Aveva Group Ltd
Schneider Electric SE
STMicroelectronics Inc
Techno Systems Inc
Semiconductor Components Industries LLC
International Business Machines Corporation (IBM)
#FieldDeviceManagement #IndustrialAutomation #PredictiveMaintenance #TechInnovation #IndustrialEfficiency #RemoteMonitoring #TechAdvancements #MarketGrowth #OperationalExcellence #SensorsAndActuators
UiPath Automation Developer Associate Training Series 2025 - Session 2DianaGray10
?
In session 2, we will introduce you to Data manipulation in UiPath Studio.
Topics covered:
Data Manipulation
What is Data Manipulation
Strings
Lists
Dictionaries
RegEx Builder
Date and Time
Required Self-Paced Learning for this session:
Data Manipulation with Strings in UiPath Studio (v2022.10) 2 modules - 1h 30m - https://academy.uipath.com/courses/data-manipulation-with-strings-in-studio
Data Manipulation with Lists and Dictionaries in UiPath Studio (v2022.10) 2 modules - 1h - https:/academy.uipath.com/courses/data-manipulation-with-lists-and-dictionaries-in-studio
Data Manipulation with Data Tables in UiPath Studio (v2022.10) 2 modules - 1h 30m - https:/academy.uipath.com/courses/data-manipulation-with-data-tables-in-studio
?? For any questions you may have, please use the dedicated Forum thread. You can tag the hosts and mentors directly and they will reply as soon as possible.
World Information Architecture Day 2025 - UX at a CrossroadsJoshua Randall
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User Experience stands at a crossroads: will we live up to our potential to design a better world? or will we be co-opted by “product management” or another business buzzword?
Looking backwards, this talk will show how UX has repeatedly failed to create a better world, drawing on industry data from Nielsen Norman Group, Baymard, MeasuringU, WebAIM, and others.
Looking forwards, this talk will argue that UX must resist hype, say no more often and collaborate less often (you read that right), and become a true profession — in order to be able to design a better world.
3. Copyright (C) gumi Inc. 2018 All Rights Reserved. - Confidential -
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31. Copyright (C) gumi Inc. 2018 All Rights Reserved. - Confidential -
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32. Copyright (C) gumi Inc. 2018 All Rights Reserved. - Confidential -
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61. Copyright (C) gumi Inc. 2018 All Rights Reserved. - Confidential -
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62. Copyright (C) gumi Inc. 2018 All Rights Reserved. - Confidential -
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64. Copyright (C) gumi Inc. 2018 All Rights Reserved. - Confidential -
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