This document provides an overview of Google Cloud Platform (GCP) services. It discusses computing services like App Engine and Compute Engine for hosting applications. It covers storage options like Cloud Storage, Cloud Datastore and Cloud SQL. It also mentions big data services like BigQuery and machine learning services like Prediction API. The document provides brief descriptions of each service and highlights their key features. It includes code samples for using Prediction API to train a model and make predictions on new data.
Google Cloud Platform (GCP) is a comprehensive cloud computing platform offered by Google, providing a wide range of services for building, deploying, and managing applications and infrastructure in the cloud. With offerings such as Compute Engine, Cloud Storage, Cloud SQL, and App Engine, GCP enables scalable computing, storage, and database solutions, making it suitable for various workloads and industries. Additionally, GCP offers advanced capabilities in machine learning, data analytics, and AI, empowering businesses to leverage innovative technologies in their cloud deployments.
Presentation for Introduction to Google Cloud Platform. This PPT provides basic understanding for services provided by Google Cloud Platform like Compute, Storage, VPC, IAM.
Google Cloud Platform is a cloud computing platform by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.
Google Cloud Platform is a part of a suite of enterprise solutions from Google for Work and provides a set of modular cloud-based services with a host of development tools. For example, hosting and computing, cloud storage, data storage, translations APIs and prediction APIs.
Topic Covered
Why Google Cloud Platform ?
Google Cloud Platform Services: First Insight !!!
Google Cloud Platform (GCP) is a comprehensive cloud computing platform offered by Google, providing a wide range of services for building, deploying, and managing applications and infrastructure in the cloud. With offerings such as Compute Engine, Cloud Storage, Cloud SQL, and App Engine, GCP enables scalable computing, storage, and database solutions, making it suitable for various workloads and industries. Additionally, GCP offers advanced capabilities in machine learning, data analytics, and AI, empowering businesses to leverage innovative technologies in their cloud deployments.
Presentation for Introduction to Google Cloud Platform. This PPT provides basic understanding for services provided by Google Cloud Platform like Compute, Storage, VPC, IAM.
Google Cloud Platform is a cloud computing platform by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.
Google Cloud Platform is a part of a suite of enterprise solutions from Google for Work and provides a set of modular cloud-based services with a host of development tools. For example, hosting and computing, cloud storage, data storage, translations APIs and prediction APIs.
Topic Covered
Why Google Cloud Platform ?
Google Cloud Platform Services: First Insight !!!
Learn how to deliver software like Pivotal and Google.
In this one-day program, Pivotal and Google share how we deliver software applications. By demonstrating the capabilities of a cloud-native software organization, we’ll share the promises Pivotal Cloud Foundry can help you keep when combined with industry-leading services and infrastructure using Google Cloud Platform (GCP).
We built Pivotal Cloud Foundry so you can deliver software with increased velocity and reduced risk. Together we will share how to make the principles of Google’s Site Reliability Engineering (SRE) achievable on Pivotal Cloud Foundry. Google and Pivotal collaborated to make Pivotal Cloud Foundry a reliable place for your applications to live.
The day will open with an introduction to Pivotal, Google, and our shared partner ecosystem. Pivotal will share how culture and technology combine to reinforce each other. We will go hands-on to show you how easy it is to develop applications with Spring Boot, integrate with Google Cloud services, and use Concourse to automate shipping applications to Pivotal Cloud Foundry.
In the afternoon, we’ll show you how Pivotal Cloud Foundry operators can empower development teams by enabling GCP integrations in their Pivotal Cloud Foundry environment. We’ll then focus on the developer experience of integrating applications with GCP’s powerful services.
Questions? Please email us at cloudnativeroadshow@pivotal.io.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes how using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator. Using AWS resources provides many of the same benefits as a public utility: Capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks. A high-level overview of AWS infrastructure (such as AWS Regions and Availability Zones) and AWS services is provided as part of this session.
Speaker: Tom Whateley, Solutions Architect and Stephanie Zieno, Account Manager, Amazon Web Services
Introduction to Google Cloud Services / PlatformsNilanchal
The presentation provides a brief Introduction to Google Cloud Services and Platforms. In the course of this slide, we will introduce you the different Google cloud computing options, Compute Engine, App Engine, Cloud function, Databases, file storage and security features of Google cloud platform.
Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014. Along with Amazon Web Services Azure is considered a leader in the IAAS field.
Microsoft Azure is an open and flexible cloud platform that enables you to quickly build, deploy, and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool, or framework. And you can integrate your public cloud applications with your existing IT environment.
This definition tells us that Microsoft Azure is a cloud platform, which means you can use it for running your business applications, services, and workloads in the cloud. But it also includes some key words that tell us even more:
Open Microsoft Azure provides a set of cloud services that allow you to build and deploy cloud-based applications using almost any programming language, framework, or tool.
Flexible Microsoft Azure provides a wide range of cloud services that can let you do everything from hosting your company’s website to running big SQL databases in the cloud. It also includes different features that can help deliver high performance and low latency for cloud-based applications.
Microsoft-managed Microsoft Azure services are currently hosted in several datacenters spread across the United States, Europe, and Asia. These datacenters are managed by Microsoft and provide expert global support on a 24x7x365 basis.
Compatible Cloud applications running on Microsoft Azure can easily be integrated with on-premises IT environments that utilize the Microsoft Windows Server platform.
It provides both PAAS and IAAS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems.
Microsoft Azure is an ever-expanding set of cloud services to help your organization meet your business challenges. It’s the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks.
Productive
Reduce time to market, by delivering features faster with over 100 end-to-end services.
Hybrid
Develop and deploy where you want, with the only consistent hybrid cloud on the market. Extend Azure on-premises with Azure Stack.
Intelligent
Create intelligent apps using powerful data and artificial intelligence services.
Trusted
Join startups, governments, and 90 percent of Fortune 500 businesses who run on the Microsoft Cloud today.
In this presentation, we provide an overview of Cloud Computing and provide some details on the wide range of services that Amazon Web Services offers today. This presentation is intended for people new to cloud computing or experienced cloud developers who have not yet used AWS.
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing.
In the webinar based on these slides, we answered the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar recording on YouTube here: http://youtu.be/QROD20r6-sQ
Exploiting IAM in the google cloud platform - dani_goland_mohsan_faridCloudVillage
"Cloud infrastructure design is complex and makes even the most straight-forward topics, such as Identity and Access Management (IAM), non-trivial and confusing and therefore, full of security risk. While AWS IAM provides for access via console and API/CLI using access keys, there is also a temporary security tokens feature, designed for secure temporary access. However, temporary tokens have multiple security pot-holes that can lead to exploits.
I'll explore the limitations of temporary tokens including:
- the lack of visibility/management
- minimal logging
- limited remediation options
and how this can be taken advantage of, especially in combination with other techniques such as assuming of roles, pre-signed URLs, log attacks, and serverless functions to achieve persistence, lateral movement, and obfuscation.
In addition, I’ll look at common defensive techniques and best practices around lockdown, provisioning, logging and alerting to see whether these are practical and can shift the field."
Amazon Virtual Private Cloud (VPC): Networking Fundamentals and Connectivity ...Amazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). We will discuss core VPC concepts including picking your IP space, subnetting, routing, security, NAT and VPC Endpoints.
In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Learn how to deliver software like Pivotal and Google.
In this one-day program, Pivotal and Google share how we deliver software applications. By demonstrating the capabilities of a cloud-native software organization, we’ll share the promises Pivotal Cloud Foundry can help you keep when combined with industry-leading services and infrastructure using Google Cloud Platform (GCP).
We built Pivotal Cloud Foundry so you can deliver software with increased velocity and reduced risk. Together we will share how to make the principles of Google’s Site Reliability Engineering (SRE) achievable on Pivotal Cloud Foundry. Google and Pivotal collaborated to make Pivotal Cloud Foundry a reliable place for your applications to live.
The day will open with an introduction to Pivotal, Google, and our shared partner ecosystem. Pivotal will share how culture and technology combine to reinforce each other. We will go hands-on to show you how easy it is to develop applications with Spring Boot, integrate with Google Cloud services, and use Concourse to automate shipping applications to Pivotal Cloud Foundry.
In the afternoon, we’ll show you how Pivotal Cloud Foundry operators can empower development teams by enabling GCP integrations in their Pivotal Cloud Foundry environment. We’ll then focus on the developer experience of integrating applications with GCP’s powerful services.
Questions? Please email us at cloudnativeroadshow@pivotal.io.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes how using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator. Using AWS resources provides many of the same benefits as a public utility: Capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks. A high-level overview of AWS infrastructure (such as AWS Regions and Availability Zones) and AWS services is provided as part of this session.
Speaker: Tom Whateley, Solutions Architect and Stephanie Zieno, Account Manager, Amazon Web Services
Introduction to Google Cloud Services / PlatformsNilanchal
The presentation provides a brief Introduction to Google Cloud Services and Platforms. In the course of this slide, we will introduce you the different Google cloud computing options, Compute Engine, App Engine, Cloud function, Databases, file storage and security features of Google cloud platform.
Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014. Along with Amazon Web Services Azure is considered a leader in the IAAS field.
Microsoft Azure is an open and flexible cloud platform that enables you to quickly build, deploy, and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool, or framework. And you can integrate your public cloud applications with your existing IT environment.
This definition tells us that Microsoft Azure is a cloud platform, which means you can use it for running your business applications, services, and workloads in the cloud. But it also includes some key words that tell us even more:
Open Microsoft Azure provides a set of cloud services that allow you to build and deploy cloud-based applications using almost any programming language, framework, or tool.
Flexible Microsoft Azure provides a wide range of cloud services that can let you do everything from hosting your company’s website to running big SQL databases in the cloud. It also includes different features that can help deliver high performance and low latency for cloud-based applications.
Microsoft-managed Microsoft Azure services are currently hosted in several datacenters spread across the United States, Europe, and Asia. These datacenters are managed by Microsoft and provide expert global support on a 24x7x365 basis.
Compatible Cloud applications running on Microsoft Azure can easily be integrated with on-premises IT environments that utilize the Microsoft Windows Server platform.
It provides both PAAS and IAAS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems.
Microsoft Azure is an ever-expanding set of cloud services to help your organization meet your business challenges. It’s the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks.
Productive
Reduce time to market, by delivering features faster with over 100 end-to-end services.
Hybrid
Develop and deploy where you want, with the only consistent hybrid cloud on the market. Extend Azure on-premises with Azure Stack.
Intelligent
Create intelligent apps using powerful data and artificial intelligence services.
Trusted
Join startups, governments, and 90 percent of Fortune 500 businesses who run on the Microsoft Cloud today.
In this presentation, we provide an overview of Cloud Computing and provide some details on the wide range of services that Amazon Web Services offers today. This presentation is intended for people new to cloud computing or experienced cloud developers who have not yet used AWS.
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing.
In the webinar based on these slides, we answered the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar recording on YouTube here: http://youtu.be/QROD20r6-sQ
Exploiting IAM in the google cloud platform - dani_goland_mohsan_faridCloudVillage
"Cloud infrastructure design is complex and makes even the most straight-forward topics, such as Identity and Access Management (IAM), non-trivial and confusing and therefore, full of security risk. While AWS IAM provides for access via console and API/CLI using access keys, there is also a temporary security tokens feature, designed for secure temporary access. However, temporary tokens have multiple security pot-holes that can lead to exploits.
I'll explore the limitations of temporary tokens including:
- the lack of visibility/management
- minimal logging
- limited remediation options
and how this can be taken advantage of, especially in combination with other techniques such as assuming of roles, pre-signed URLs, log attacks, and serverless functions to achieve persistence, lateral movement, and obfuscation.
In addition, I’ll look at common defensive techniques and best practices around lockdown, provisioning, logging and alerting to see whether these are practical and can shift the field."
Amazon Virtual Private Cloud (VPC): Networking Fundamentals and Connectivity ...Amazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). We will discuss core VPC concepts including picking your IP space, subnetting, routing, security, NAT and VPC Endpoints.
In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Scale with a smile with Google Cloud Platform At DevConTLV (June 2014)Ido Green
What is new and hot on Google Cloud?
How can you work like a pro with some (or all) the new APIs and services... Here are some good starting points to follow.
Built on the same infrastructure that allows Google to return billions of search results in milliseconds, serve 6 billion hours of YouTube video per month and provide storage for 680 million Gmail users, Google Cloud Platform enables developers to build, test and deploy applications on Google’s highly-scalable and reliable infrastructure. Wether you use Google Deployment Manager, Ansible, Chef, Puppet, or Salt, you can now virtually automate everything!
This is the first of 3 parts of GWT Training. It is introduces Ajax and GWT and how to install GWT for Eclipse.
It is for Java Programmers that want to start Ajax development using GWT.
Cloud Computing:
Cloud computing is the delivery of different services through the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
2. Generally, we talk about cloud computing when
taking applications and running them on other
infrastructure than your own.
As a developer, think of cloud computing as a service
that provides a resource that your application needs
to work (this resource may be a platform, an
infrastructure (i.e. servers), a framework).
What is Cloud?
4. Google Cloud Platform enables developers to build, test
and deploy applications on Google’s highly-scalable and
reliable infrastructure. Choose from computing, storage
and application services for your web, mobile and backend
solutions.
Google Cloud Platform is a set of modular cloud-based
services that allow you to create anything from simple
websites to complex applications.
Introduction
7. Build on the same infrastructure that allows Google to
return billions of search results in milliseconds, serve 6
billion hours of YouTube video per month and provide
storage for 425 million Gmail users.
➔ Global Network
➔ Redundancy
➔ Innovative Infrastructure
#1 Run on Google’s Infrastructure
8. Rapidly develop, deploy and iterate your applications
without worrying about system administration. Google
manages your application, database and storage servers so
you don’t have to.
➔ Managed services
➔ Developer Tools and SDKs
➔ Console and Administration
#2 Focus on your product
9. Virtual machines. Managed platform. Blob storage. Block
storage. NoSQL datastore. MySQL database. Big Data
analytics.
Google Cloud Platform has all the services your application
architecture needs.
➔ Compute
➔ Storage
➔ Services
#3 Mix and Match Services
10. Applications hosted on Cloud Platform can automatically scale up
to handle the most demanding workloads and scale down when
traffic subsides. You pay only for what you use.
Scale-up: Cloud Platform is designed to scale like Google’s
own products, even when you experience a huge traffic
spike. Managed services such as App Engine or Cloud
Datastore give you auto-scaling that enables your application
to grow with your users.
Scale-down: Just as Cloud Platform allows you to scale-up,
managed services also scale down. You don’t pay for
computing resources that you don’t need.
#4 Scale to millions of users
11. Google’s compute infrastructure gives you consistent CPU,
memory and disk performance. The network and edge cache
serve responses rapidly to your users across the world.
➔ CPU, Memory and Disk
➔ Global Network
➔ Transparent maintenance
#5 Performance you can count on
12. With a worldwide community of users, partner ecosystem
and premium support packages, Google provides a full
range of resources to help you get started and grow.
#6 Get the support you need
14. Run your applications on a fully-managed Platform-as-a-
Service (PaaS) using built-in services that make you more
productive.
Use App Engine, when you just want to focus on your
code and not worry about patching or maintenance.
App Engine
15. Popular languages and frameworks
Focus on your code
Multiple storage options
Powerful built-in services
Familiar development tools
Deploy at Google scale
App Engine Features
16. Run large-scale workloads on virtual machines hosted on
Google's infrastructure. Choose a VM that fits your needs and
gain the performance of Google’s worldwide fiber network.
Compute Engine
17. High-performance virtual machines
Powered by Google’s global network
(Really) Pay for what you use
Global load balancing
Fast and easy provisioning
Compliance and security
Compute Engine Features
18. The App Engine offers frequently standard Java API's and
App Engine specific API's for the same task. If you want to
be able to port your application from the AppEngine to
other webcontainers, e.g. Tomcat or Jetty, you should
only use Java standard API.
Google App Engine for Java
19. App Engine uses the Jetty servlet container to host
applications and supports the Java Servlet API. It provides
access to databases via Java Data Objects (JDO) and
the Java Persistence API (JPA). In the background App
Engine uses Google Bigtable as the distributed storage
system for persisting application data.
Google App Engine for Java
20. Google provides Memcache as a caching mechanism.
Developers who want to code against the standard Java
API can use the JCache implementation (based on JSR
107).
Google App Engine for Java
21. Google App Engine supports the creation of several
version of your application. In the Admin Console you can
select which version should be active. Your active
application "your-name" will be accessible via the URL
"http://your-name.appspot.com". Each version can also
be accessed for example to test a new version. The
version are accessable via
"http://versionnumber.latest.your-name.appspot.com"
where version is for example "2" and "latest" is a fixed
string.
Google App Engine for Java
22. You cannot use Threads or frameworks which uses Threads.
You can also not write to the filesystem and only read files
which are part of your application. Certain "java.lang.System"
actions, e.g. gc() or exit() will do nothing. You can not call JNI
code. Reflection is possible for your own classes and standard
Java classes but your cannot use reflection to access other
classes outside your application.
A servlet needs also to reply within 30 seconds otherwise a
"com.google.apphosting.api.DeadlineExceededException" is
thrown.
Google App Engine for Java
23. Google offers an Eclipse plug-in that provides support for the
development with the Google App Engine as well as GWT
development
Google lists the currently supported version in its Google Plug-
in for Eclipse page.
Use Eclipse update manager to install the tools in the version
for your Eclipse IDE.
The installation will also setup the GWT and App Engine SDK
into your Eclipse preferences.
To check this use Window →Preferences → Google
→ App Engine / Web Toolkit.
Installation of the Google Tools
for Eclipse
29. Visit the Google Cloud console.
If necessary, sign in to your Google Account, select or create
a project, and agree to the terms of service. Click Continue.
Select the "Web Application" platform, and click Register.
Within "OAuth 2.0 Client ID", click on "Download JSON".
Register Your Application
30. Later on, after you check out the sample project, you will
copy this downloaded file
(e.g. ~/Downloads/client_secrets.json) to
src/main/resources/client_secrets.json. If you skip this step,
when trying to run the sample you will get a 400
INVALID_CLIENT error in the browser.
Within "OAuth 2.0 Client ID", in the "Redirect URI" field
enter some redirect URIs, for example
"https://yourappname.appspot.com/oauth2callback" and
"http://localhost:8888/oauth2callback".
Register Your Application
31. cd [someDirectory]
hg clone https://code.google.com/p/google-api-java-client.samples/
google-api-java-client-samples
cd google-api-java-client-samples/calendar-appengine-sample
cp ~/Downloads/client_secrets.json
src/main/resources/client_secrets.json
mvn clean package
Checkout Instructions
32. To run your application locally on a development server:
mvn appengine:devserver
To deploy your application to appspot.com:
If this is the first time you are deploying your application to
appspot.com, you will to perform the following steps first.
Go to https://appengine.google.com and create an application.
Edit src/main/webapp/WEB-INF/appengine-web.xml, and enter the
unique application identifier (you chose it in the prior step)
between the <application> tags.
Running and Deploying Your
Application
33. If you've done the above, you can deploy at any time:
mvn appengine:update
If this is the first time you have run "update" on the project, a
browser window will open prompting you to log in. Log in with
the same Google account the app is registered with.
Running and Deploying Your
Application
34. Setup Eclipse Preferences
Window > Preferences... (or on Mac, Eclipse > Preferences...)
Select Maven
check on "Download Artifact Sources"
check on "Download Artifact JavaDoc"
Setup Project in Eclipse
35. Import calendar-appengine-sample project
File > Import...
Select "General > Existing Project into Workspace" and click "Next"
Click "Browse" next to "Select root directory",
find [someDirectory]/google-api-java-client-samples/calendar-
appengine-sample and click "Next"
Click "Finish"
NOTE: please ignore the "The App Engine SDK JAR * is missing in
the WEB-INF/lib directory" error messages.
Setup Project in Eclipse
36. Run
Right-click on project calendar-appengine-sample
Run As > Web Application
Setup Project in Eclipse
38. Use a durable and highly available object storage service.
With global edge-caching, your users have fast access to
your app’s data from any location.
Cloud Storage
39. Secure and safe
Competitive and flexible pricing
Object storage with a fully-featured API
Flexible access
Cloud Storage Features
40. Use a managed, NoSQL, schemaless database for storing
non-relational data. Cloud Datastore automatically scales
as you need it and supports transactions as well as robust,
SQL-like queries.
Cloud Datastore
41. Schemaless access, with SQL-like querying
Managed database
Autoscale with your users
ACID transactions
Built-in redundancy
Local development tools
Access your data from anywhere
Cloud Datastore Features
42. Store and manage data using a fully-managed, relational
MySQL database. Google handles replication, patch
management and database management to ensure
availability and performance.
Cloud SQL
43. Familiar Infrastructure
Flexible Charging
Security, Availability, Durability
Easier Migration; No Lock-in
Control
Fully managed
Cloud SQL Features
45. Analyze Big Data in the cloud with BigQuery.
Run fast, SQL-like queries against multi-terabyte datasets
in seconds.
Scalable and easy to use, BigQuery gives you real-time
insights about your data.
Flexible Access (ReST APIs, JSON-RPC, Google Apps Script).
Big Query
50. Compact subset of SQL
SELECT ... FROM ...
WHERE ...
GROUP BY ... ORDER BY ...
LIMIT ...;
Writing Queries
Common functions
Math, String, Time, ...
Statistical approximations
TOP
COUNT DISTINCT
51. GET /bigquery/v1/tables/{table name}
GET /bigquery/v1/query?q={query}
Sample JSON Reply:
{
"results": {
"fields": { [
{"id":"COUNT(*)","type":"uint64"}, ... ]
},
"rows": [
{"f":[{"v":"2949"}, ...]},
{"f":[{"v":"5387"}, ...]}, ... ]
}
}
Also supports JSON-RPC
Big Query via ReST
52. Standard Google Authentication
● Client Login
● OAuth
● AuthSub
HTTPS support
● protects your credentials
● protects your data
Relies on Google Storage to manage access
Big Query Security and Privacy
54. Create ReSTful services and make them accessible to iOS,
Android and Javascript clients. Automatically generate
client libraries to make wiring up the frontend easy. Built-in
features include denial-of-service protection, OAuth 2.0
support and client key management.
Cloud Endpoints
56. Quickly and dynamically translate between thousands of
available language pairs within your app, integrating with
Google Translate.
Translate API
57. Dynamically access languages
Accessible with Google API
Affordable, easy pricing
Translate API Features
58. Use Google’s machine learning algorithms to analyze data
and predict future outcomes using a familiar ReSTful
interface.
Prediction API
59. Put your data to use
Fast and reliable
Cloud integration
Powerful development tools
Examples and support
Flexible pricing
Prediction API Features
63. Upload your training data to Google Storage
● Training data: outputs and input features
● Data format: comma separated value format (CSV)
"english","To err is human, but to really ..."
"spanish","No hay mal que por bien no venga."
...
Upload to Google Storage
gsutil cp ${data} gs://yourbucket/${data}
Step 1: Upload
64. Create a new model by training on data
To train a model:
POST prediction/v1.3/training
{"id":"mybucket/mydata"}
Training runs asynchronously.
To see if it has finished:
GETprediction/v1.3/training/mybucket%2Fmydata
{"kind": "prediction#training", ... ,"training
status": "DONE"}
Step 2: Train
65. Apply the trained model to make predictions on new data
POST
prediction/v1.3/training/mybucket%2Fmydata/predict
{ "data":{
"input": { "text" : [
"J'aime X! C'est le meilleur" ]}}}
Step 3: Predict
66. Apply the trained model to make predictions on new data
{ data : {
"kind" : "prediction#output",
"outputLabel":"French",
"outputMulti" :[
{"label":"French", "score": x.xx}
{"label":"English", "score": x.xx}
{"label":"Spanish", "score": x.xx}]}}
Step 3: Predict
67. import httplib
// put new data in JSON format in params variable
header = {"Content-Type" : "application/json"}#...
conn =
httplib.HTTPConnection("www.googleapis.com")conn.request
("POST", "/prediction/v1.3/query/bucket%2Fdata/predict",
params, header) print conn.getresponse()
Step 3: Predict
68. Google Cloud Platform offer $300 in credit to spend on all
Cloud Platform products for your first 60 days. Your trial is
absolutely free and you will not be billed unless you decide to
upgrade to a paid account.
During free trial, there are some product limitations. Compute
Engine is limited to eight concurrent cores at a time.
Free trial is for anyone new to Cloud Platform. Existing
customers that have paid for Cloud Platform in the past are
not eligible.
Pricing: free trial
70. • Google Cloud Platform Developers Portal:
https://cloud.google.com/developers
• Google Developers Global Portal:
https://developers.google.com
• Google Cloud Platform Products list:
https://cloud.google.com/products/
• Google App Engine
http://code.google.com/apis/storage
• Google Storage for Developers
http://code.google.com/apis/storage
• Google Prediction API
http://code.google.com/apis/predict
• Google BigQuery
http://code.google.com/apis/bigquery
Useful links
71. Thank You!
please leave a feedback
Francesco Marchitelli
marchitelli.francesco@gmail.com
@marcyborg