This is the presentation "Building Integrated Applications on Google's Cloud Technologies" that was given at GDD 2011 #gdd11 in Sao Paulo and Buenos Aires by Google Developer Advocate Chris Schalk @cschalk.
GDD 2011 - How to build kick ass video games for the cloudChris Schalk
This is the Google Developer Day 2011 "How to build kick ass games in the cloud" presentation that was given in Sao Paulo and Buenos Aires. (The title is in Spanish since it was last given in Argentina - the content is the same as Sao Paulo though)
It was given by Google Developer Advocate, Chris Schalk in Sept 2011. @cschalk
An overview and update presentation on Google App Engine given by Google Developer Advocate Christian Schalk at the 2011 DevFest Singapore and Jakarta events. Developer Advocate Wesley Chun also participated in the Q&A.
Building Kick Ass Video Games for the CloudChris Schalk
This is a presentation that covers how to use PlayN to build kick ass games for the cloud. It was delivered at GDC Online 2011, by Google Developer Advocate, Chris Schalk
How to build Kick Ass Games in the CloudChris Schalk
This is a presentation given by Googlers Chris Schalk and Johan Euphrosine (Proppy) at GDD Sydney 2011 on how to build multi-platform video games using PlayN.
This is a half-hour technical talk on serverless computing with Python featuring products from the Google Cloud Platform. It starts with a review of all of cloud computing then dives into serverless computing, demonstrates multiple products, then shows inspirational examples of apps built using these technologies.
Introduction to Cloud Computing with Google Cloudwesley chun
This is a 20-30 minute technical talk introducing developers to cloud computing including an overview of Google Cloud computing products. There is a special focus on serverless tools as a convenient way for developers to run code. The talk ends with several inspirational apps showcasing what is possible with Google Cloud tools meant to plant a seed as to consider what is possible.
This is a half-hour technical talk on serverless computing with Google Cloud (Platform). It starts with a review of all of cloud computing then dives into serverless computing, demonstrates multiple products, and shows inspirational examples of apps built using these technologies.
GDD 2011 - How to build kick ass video games for the cloudChris Schalk
This is the Google Developer Day 2011 "How to build kick ass games in the cloud" presentation that was given in Sao Paulo and Buenos Aires. (The title is in Spanish since it was last given in Argentina - the content is the same as Sao Paulo though)
It was given by Google Developer Advocate, Chris Schalk in Sept 2011. @cschalk
An overview and update presentation on Google App Engine given by Google Developer Advocate Christian Schalk at the 2011 DevFest Singapore and Jakarta events. Developer Advocate Wesley Chun also participated in the Q&A.
Building Kick Ass Video Games for the CloudChris Schalk
This is a presentation that covers how to use PlayN to build kick ass games for the cloud. It was delivered at GDC Online 2011, by Google Developer Advocate, Chris Schalk
How to build Kick Ass Games in the CloudChris Schalk
This is a presentation given by Googlers Chris Schalk and Johan Euphrosine (Proppy) at GDD Sydney 2011 on how to build multi-platform video games using PlayN.
This is a half-hour technical talk on serverless computing with Python featuring products from the Google Cloud Platform. It starts with a review of all of cloud computing then dives into serverless computing, demonstrates multiple products, then shows inspirational examples of apps built using these technologies.
Introduction to Cloud Computing with Google Cloudwesley chun
This is a 20-30 minute technical talk introducing developers to cloud computing including an overview of Google Cloud computing products. There is a special focus on serverless tools as a convenient way for developers to run code. The talk ends with several inspirational apps showcasing what is possible with Google Cloud tools meant to plant a seed as to consider what is possible.
This is a half-hour technical talk on serverless computing with Google Cloud (Platform). It starts with a review of all of cloud computing then dives into serverless computing, demonstrates multiple products, and shows inspirational examples of apps built using these technologies.
Half-hour tech talk given at user groups or technical conferences to introducing developers to integrating with Google (Cloud) APIs from Python .
ABSTRACT
Want to integrate Google technologies into the web+mobile apps that you build? Google has various open source libraries & developer tools that help you do exactly that. Users who have run into roadblocks like authentication or found our APIs confusing/challenging, are welcome to come and make these non-issues moving forward. Learn how to leverage the power of Google technologies in the next apps you build!!
This is a one hour technical talk on serverless computing with Google Cloud (Platform). It starts with a review of all of cloud computing then dives into serverless computing, demonstrates multiple products, and shows inspirational examples of apps built using these technologies.
Image archive, analysis & report generation with Google Cloudwesley chun
Google Cloud provides a diverse array of services to realize the ambition of solving real business problems, like constrained resources. An image archive & analysis plus report generation use-case can be realized with just Google Workspace & GCP APIs. The principle of mixing-and-matching Google technologies is applicable to many other challenges faced by you, your organization, or your customers. These slides are from a half- to 1-hour presentation about this case study.
Designing flexible apps deployable to App Engine, Cloud Functions, or Cloud Runwesley chun
Many people ask, "Which one is better for me: App Engine, Cloud Functions, or Cloud Run?" To help you learn more about them, understand their differences, appropriate use cases, etc., why not deploy the same app to all 3? With this "test drive," you only need to make minor config changes between platforms. You'll also learn one of Google Cloud's AI/ML "building block" APIs as a bonus as the sample app is a simple "mini" Google Translate "MVP". This is a 45- 60-minute talk that reviews the Google Cloud serverless compute platforms then walks through the same app and its deployments. The code is maintained at https://github.com/googlecodelabs/cloud-nebulous-serverless-python
Run your code serverlessly on Google's open cloudwesley chun
This is a half-hour technical seminar on Google support of the open source ecosystem, a quick high-level overview/review of cloud computing in general, and then focuses on serverless compute products in Google Cloud and how the platforms are more open than ever!
Powerful Google Cloud tools for your hackwesley chun
This 1-hour presentation is meant to give univeresity hackathoners a deeper yes still high-level overview of Google Cloud and its developer APIs with the purpose of inspiring students to consider these products for their hacks. It follows and dives deeper into the products introduced at the opening ceremony lightning talk. Of particular focus are the serverless and machine learning platforms & APIs... tools that have an immediate impact on projects, alleviating the need to manage VMs, operating systems, etc., as well as dispensing with the need to have expertise with machine learning.
Serverless on Google Cloud covers a lot: compute, Cloud Functions, Cloud Run, App Engine, containers, Kubernetes, Firebase and much more. We'll also cover storage, containers vs apps vs functions, ML and AI, and much more.
This is a 15-20 minute tech talk designed for those who wish to use Google APIs, but don't know how to get started quickly. This session introduces developers to two distinct ways of accessing our APIs, the standard HTTP-based REST APIs or Google Apps Script, a customized JS environment which provides Google API access via objects. It concludes with some inspirational app ideas of what you can build using Google Cloud APIs (covering both GCP & G Suite).
Google Cloud is an organization producing 2 well-know product groups, GCP & G Suite. Most think they don't go nor work well together. This 90-minute session busts that myth and exposes developers to some of the more well-known APIs from both GCP & G Suite as well as highlights several novel solutions that have already been built as sample apps but also serve as inspiration into what's possible. The goal is to show developers the potential of building with ALL of Google Cloud.
Powerful Google Cloud tools for your hack (2020)wesley chun
You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? This session takes hackathon participants on a deeper dive from the opening ceremony lightning intro. In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring students for their hacks. We'll look closely at our serverless platforms & machine learning APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started so you'll know what to do with those Cloud credits you got from MLH!
GDD Brazil 2010 - What's new in Google App Engine and Google App Engine For B...Patrick Chanezon
Learn what's new with App Engine. We'll take a whirlwind tour through the changes since last year.
We'll top it off with a glimpse into some new features that we've planned for the year ahead. This session will include an overview of Google App Engine for Business.
Introduction to serverless computing on Google Cloudwesley chun
This is a 15-20 minute tech talk designed for those who wish to get a broad high-level introduction to serverless computing. Tech featured includes Google App Engine, Google Cloud Functions, and Google Apps Script.
Cloud Spin is a demo that a team of Googlers developed to showcase the Google Cloud Platform. The demo consists of 19 Android mobile phones placed in a half-circle to create a frozen-in-time 180 degree animated GIF. See examples at @googlecloudspin on Twitter! Googler Bret McGowen walks through how the team (himself, Francesc Campoy, Kathy Kam, Ray Tsang) built the demo using a wide range of technologies: cloud, Android, Firebase, JavaScript, and more!
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIsPatrick Chanezon
Google is expanding our storage products by introducing Google Storage for Developers. It offers a RESTful API for storing and accessing data at Google. Developers can take advantage of the performance and reliability of Google's storage infrastructure, as well as the advanced security and sharing capabilities. We will demonstrate key functionality of the product as well as customer use cases. Google relies heavily on data analysis and has developed many tools to understand large datasets. Two of these tools are now available on a limited sign-up basis to developers: (1) BigQuery: interactive analysis of very large data sets and (2) Prediction API: make informed predictions from your data. We will demonstrate their use and give instructions on how to get access.
Say you have an existing app that uses Firebase. But now you want to add payment processing, image processing, send push notifications, or other functionality that really can't be done in the app itself. How can you do these things without spinning up your own servers? Firebase has you covered. In this codelab you learn how to write JavaScript functions that run in response to events that happen in Firebase. You then deploy these functions to Cloud Functions for Firebase, where they run auto-scaled on Google's infrastructure. To get the most value out of attending, be sure to have Node.js and npm installed on your machine along with your favorite text editor.
Building Apps on Google Cloud TechnologiesChris Schalk
This is a presentation on how to use the different Google Cloud technologies to build applications.
It was delivered in Mexico City at the "EstoEsGoogle" aka Devfest Mexico event on Aug 9th, 2011 in Mexico City by Google Developer Advocate Chris Schalk.
Quick Intro to Google Cloud TechnologiesChris Schalk
This is the "Lightning Presentation" given at DreamForce 2011 on Google's Cloud Technologies. It covers, App Engine, Google Storage and BigQuery. #df11
Half-hour tech talk given at user groups or technical conferences to introducing developers to integrating with Google (Cloud) APIs from Python .
ABSTRACT
Want to integrate Google technologies into the web+mobile apps that you build? Google has various open source libraries & developer tools that help you do exactly that. Users who have run into roadblocks like authentication or found our APIs confusing/challenging, are welcome to come and make these non-issues moving forward. Learn how to leverage the power of Google technologies in the next apps you build!!
This is a one hour technical talk on serverless computing with Google Cloud (Platform). It starts with a review of all of cloud computing then dives into serverless computing, demonstrates multiple products, and shows inspirational examples of apps built using these technologies.
Image archive, analysis & report generation with Google Cloudwesley chun
Google Cloud provides a diverse array of services to realize the ambition of solving real business problems, like constrained resources. An image archive & analysis plus report generation use-case can be realized with just Google Workspace & GCP APIs. The principle of mixing-and-matching Google technologies is applicable to many other challenges faced by you, your organization, or your customers. These slides are from a half- to 1-hour presentation about this case study.
Designing flexible apps deployable to App Engine, Cloud Functions, or Cloud Runwesley chun
Many people ask, "Which one is better for me: App Engine, Cloud Functions, or Cloud Run?" To help you learn more about them, understand their differences, appropriate use cases, etc., why not deploy the same app to all 3? With this "test drive," you only need to make minor config changes between platforms. You'll also learn one of Google Cloud's AI/ML "building block" APIs as a bonus as the sample app is a simple "mini" Google Translate "MVP". This is a 45- 60-minute talk that reviews the Google Cloud serverless compute platforms then walks through the same app and its deployments. The code is maintained at https://github.com/googlecodelabs/cloud-nebulous-serverless-python
Run your code serverlessly on Google's open cloudwesley chun
This is a half-hour technical seminar on Google support of the open source ecosystem, a quick high-level overview/review of cloud computing in general, and then focuses on serverless compute products in Google Cloud and how the platforms are more open than ever!
Powerful Google Cloud tools for your hackwesley chun
This 1-hour presentation is meant to give univeresity hackathoners a deeper yes still high-level overview of Google Cloud and its developer APIs with the purpose of inspiring students to consider these products for their hacks. It follows and dives deeper into the products introduced at the opening ceremony lightning talk. Of particular focus are the serverless and machine learning platforms & APIs... tools that have an immediate impact on projects, alleviating the need to manage VMs, operating systems, etc., as well as dispensing with the need to have expertise with machine learning.
Serverless on Google Cloud covers a lot: compute, Cloud Functions, Cloud Run, App Engine, containers, Kubernetes, Firebase and much more. We'll also cover storage, containers vs apps vs functions, ML and AI, and much more.
This is a 15-20 minute tech talk designed for those who wish to use Google APIs, but don't know how to get started quickly. This session introduces developers to two distinct ways of accessing our APIs, the standard HTTP-based REST APIs or Google Apps Script, a customized JS environment which provides Google API access via objects. It concludes with some inspirational app ideas of what you can build using Google Cloud APIs (covering both GCP & G Suite).
Google Cloud is an organization producing 2 well-know product groups, GCP & G Suite. Most think they don't go nor work well together. This 90-minute session busts that myth and exposes developers to some of the more well-known APIs from both GCP & G Suite as well as highlights several novel solutions that have already been built as sample apps but also serve as inspiration into what's possible. The goal is to show developers the potential of building with ALL of Google Cloud.
Powerful Google Cloud tools for your hack (2020)wesley chun
You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? This session takes hackathon participants on a deeper dive from the opening ceremony lightning intro. In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring students for their hacks. We'll look closely at our serverless platforms & machine learning APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started so you'll know what to do with those Cloud credits you got from MLH!
GDD Brazil 2010 - What's new in Google App Engine and Google App Engine For B...Patrick Chanezon
Learn what's new with App Engine. We'll take a whirlwind tour through the changes since last year.
We'll top it off with a glimpse into some new features that we've planned for the year ahead. This session will include an overview of Google App Engine for Business.
Introduction to serverless computing on Google Cloudwesley chun
This is a 15-20 minute tech talk designed for those who wish to get a broad high-level introduction to serverless computing. Tech featured includes Google App Engine, Google Cloud Functions, and Google Apps Script.
Cloud Spin is a demo that a team of Googlers developed to showcase the Google Cloud Platform. The demo consists of 19 Android mobile phones placed in a half-circle to create a frozen-in-time 180 degree animated GIF. See examples at @googlecloudspin on Twitter! Googler Bret McGowen walks through how the team (himself, Francesc Campoy, Kathy Kam, Ray Tsang) built the demo using a wide range of technologies: cloud, Android, Firebase, JavaScript, and more!
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIsPatrick Chanezon
Google is expanding our storage products by introducing Google Storage for Developers. It offers a RESTful API for storing and accessing data at Google. Developers can take advantage of the performance and reliability of Google's storage infrastructure, as well as the advanced security and sharing capabilities. We will demonstrate key functionality of the product as well as customer use cases. Google relies heavily on data analysis and has developed many tools to understand large datasets. Two of these tools are now available on a limited sign-up basis to developers: (1) BigQuery: interactive analysis of very large data sets and (2) Prediction API: make informed predictions from your data. We will demonstrate their use and give instructions on how to get access.
Say you have an existing app that uses Firebase. But now you want to add payment processing, image processing, send push notifications, or other functionality that really can't be done in the app itself. How can you do these things without spinning up your own servers? Firebase has you covered. In this codelab you learn how to write JavaScript functions that run in response to events that happen in Firebase. You then deploy these functions to Cloud Functions for Firebase, where they run auto-scaled on Google's infrastructure. To get the most value out of attending, be sure to have Node.js and npm installed on your machine along with your favorite text editor.
Building Apps on Google Cloud TechnologiesChris Schalk
This is a presentation on how to use the different Google Cloud technologies to build applications.
It was delivered in Mexico City at the "EstoEsGoogle" aka Devfest Mexico event on Aug 9th, 2011 in Mexico City by Google Developer Advocate Chris Schalk.
Quick Intro to Google Cloud TechnologiesChris Schalk
This is the "Lightning Presentation" given at DreamForce 2011 on Google's Cloud Technologies. It covers, App Engine, Google Storage and BigQuery. #df11
An overview of the different Google Cloud Technologies. Includes coverage of Google App Engine, Google Storage, Google Prediction Api, and BigQuery.
This presentation was given to the San Diego GTUG on Aug 26th, 2011.
Introduction to Google's Cloud TechnologiesChris Schalk
An overview of the different Cloud technologies available from Google including App Engine, Google Storage, Google Prediction API, and BigQuery.
This presentation was given to the San Diego GTUG on Aug 26th, 2011.
Introduction to Google Cloud platform technologiesChris Schalk
This is a presentation given by Google Developer Advocate Chris Schalk at Spring One 2GX on Oct 21st, 2010. It introduces Google Storage for Developers, Prediction API, and BigQuery.
Intro to new Google cloud technologies: Google Storage, Prediction API, BigQueryChris Schalk
This is an introductory presentation given at DevFest Madrid 2010 by Google Developer Advocate Chris Schalk. It introduces new Google cloud technologies: Google Storage, Google Prediction API and BigQuery.
These slides are made for the 2013 DevFest talks. It covers the main blocks of Google cloud platform: App engine, Compute Engine, storage options and more.
Entrepreneurship Tips With HTML5 & App Engine Startup Weekend (June 2012)Ido Green
My talk in Startup Weekend 2012 during Google I/O. It cover, startup life tips, modern web apps and how to leverage Google cloud (specific App Engine).
Google Cloud for Data Crunchers - Strata Conf 2011Patrick Chanezon
http://strataconf.com/strata2011/public/schedule/detail/16242
Talk at Strata 2011 with Ryan Boyd and Kirrily Roberts
Google is a Data business: over the past few years, many of the tools Google created to store, query, analyze, visualize its data, have been exposed to developers as services.
This talk will give you an overview of Google services for Data Crunchers:
Google Storage for developers
BigQuery, fast interactive queries on Terabytes of data
Machine Learning API: Machine Learning made easy
Google App Engine, exposing Data APIs is a very common use case for App Engine
Visualization API: many cool visualization components
Powerful Google developer tools for immediate impact! (2023-24 A)wesley chun
This is one of two 45-60-min presentations to students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring you as to what's possible. The session introduces Google's machine learning & other APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started! The main takeaways are where to run your code, store your data, and analyze your data, all in the cloud!
The other version of this talk ("B") focuses more on serverless platforms.
Modern Thinking: Cómo el Big Data y Cognitive están cambiando la estrategia de Marketing
Por: Ismael Yuste, Strategic Cloud Engineer Google Cloud
Presentación: Introducción a las soluciones Big Data de Google
30-45-min tech talk given at user groups or technical conferences to introducing developers to integrating with Google APIs from Python .
ABSTRACT
Want to integrate Google technologies into the web+mobile apps that you build? Google has various open source libraries & developer tools that help you do exactly that. Users who have run into roadblocks like authentication or found our APIs confusing/challenging, are welcome to come and make these non-issues moving forward. Learn how to leverage the power of Google technologies in the next apps you build!!
The 'macro view' on Big Query:
We started with an overview, some typical uses and moved to project hierarchy, access control and security.
In the end we touch about tools and demos.
You may know Google for search, YouTube, Android, Chrome, and Gmail, but that's only as an end-user of OUR apps. Did you know you can also integrate Google technologies into YOUR apps? We have many APIs and open source libraries that help you do that! If you have tried and found it challenging, didn't find not enough examples, run into roadblocks, got confused, or just curious about what Google APIs can offer, join us to resolve any blockers. Code samples will be in Python and/or Node.js/JavaScript. This session focuses on showing you how to access Google Cloud APIs from one of Google Cloud's compute platforms, whether serverless or otherwise.
Similar to Building Integrated Applications on Google's Cloud Technologies (20)
A review and update presentation on Google App Engine's latest features up through version 1.5.3 and including new experimental features. This presentation was given to the San Diego GTUG on Aug 26, 2011.
This is a presentation on Google App Engine's Latest Features.
It was delivered in Mexico City at the "EstoEsGoogle" aka Devfest Mexico event on Aug 9th, 2011 in Mexico City by Google Developer Advocate Chris Schalk.
Building Multi-platform Video Games for the CloudChris Schalk
This is a presentation on how to build multi-platform (HTML5, Flash, Java/Android) video games using an open source technology known as Forplay (PlayN).
This presentation was delivered in Mexico City on Aug 9th, 2011 at the "EstoEsGoogle" aka Devfest Mexico event on Aug 9th in Mexico City by Google Developer Advocate Chris Schalk
Building Enterprise Applications on Google Cloud Platform Cloud Computing Exp...Chris Schalk
This is a presentation given by Google Developer Advocate Chris Schalk at Cloud Expo in NYC on June 8th 2011 on building enterprise applications with Google's Cloud Platform.
This is an introduction presentation on App Engine for Business given by Chris Schalk, Google Developer Advocate on Oct 26, 2010 at the PayPal Innovate conference.
What's new in App Engine and intro to App Engine for BusinessChris Schalk
This is a presentation given by Devfest Madrid 2010 by Google Developer Advocate Chris Schalk on "What's new in Google App Engine and Intro to App Engine for Business"
App Engine Overview @ Google Hackathon SXSW 2010Chris Schalk
This is an overview presentation on Google App Engine. This was given at the Google hackathon @ SXSW Interactive, 2010.
bit.ly/googlehackathonsxsw
bit.ly/gcodelabs
This is a presentation on OpenSocial in the Enterprise given at Devfest 2009 in Buenos Aires Argentina on Nov 17, 2009 by Google Developer Advocate, Chris Schalk, eXo Platform CEO Benjamin Mestrallet, and Globant's Bruno Rovagnati
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Building Integrated Applications on Google's Cloud Technologies
1. Chris Schalk
Google Developer Advocate
Creación de aplicaciones
integradas en las tecnologías de
nube de Google
(Building Integrated Applications on
Google's Cloud Technologies)
2. Agenda
● Introduction
● Introduction to Google's Cloud Technologies
● App Engine Recap
● Google's new Cloud Technologies
○ Google Storage
○ Prediction API
○ BigQuery
● Summary Q&A
10. New Google Cloud Technologies
● Google Storage
○ Store your data in Google's cloud
● Prediction API
○ Google's machine learning tech in an API
● BigQuery
○ Hi-speed data analysis on massive scale
12. What Is Google Storage?
● Store your data in Google's cloud
○ any format, any amount, any time
● You control access to your data
○ private, shared, or public
● Access via Google APIs or 3rd party tools/libraries
13. Sample Use Cases
Static content hosting
e.g. static html, images, music, video
Backup and recovery
e.g. personal data, business records
Sharing
e.g. share data with your customers
Data storage for applications
e.g. used as storage backend for Android, AppEngine, Cloud
based apps
Storage for Computation
e.g. BigQuery, Prediction API
14. Google Storage Benefits
High Performance and Scalability
Backed by Google infrastructure
Strong Security and Privacy
Control access to your data
Easy to Use
Get started fast with Google & 3rd party tools
15. Google Storage Technical Details
● RESTful API
○ Verbs: GET, PUT, POST, HEAD, DELETE
○ Resources: identified by URI
○ Compatible with S3
● Buckets
○ Flat containers
● Objects
○ Any type
○ Size: 100 GB / object
● Access Control for Google Accounts
○ For individuals and groups
● Two Ways to Authenticate Requests
○ Sign request using access keys
○ Web browser login
16. Security and Privacy Features
● Key-based authentication
● Authenticated downloads from a web browser
● Sharing with individuals
● Group sharing via Google Groups
● Access control for buckets and objects
● Set Read/Write/List permissions
20. Google Storage - Pricing
○ Free trial quota until Dec 31, 2011
■ For first project
■ 5 GB of storage
■ 25 GB download/upload data
■ 20 GB to Americas/EMEA, 5GB APAC
■ 25K GET, HEAD requests
■ 2,5K PUT, POST, LIST* requests
○ Production Storage
■ $0.17/GB/Month (Location US, EU)
■ Upload - $0.10/GB
■ Download - $0.15/GB Americas/EMEA, $0.30/GB APAC
■ Requests
■ PUT, POST, LIST - $0.01 / 1000 Requests
■ GET, HEAD - $0.01 / 10,000 Requests
■ 99.9% uptime SLA
21. Google Storage Summary
● Store any kind of data using Google's cloud infrastructure
● Easy to Use APIs
● Many available tools and libraries
○ gsutil, GS Manager
○ 3rd party:
■ Boto, CloudBerry, CyberDuck, JetS3t, and more
23. Google Prediction API as a simple example
Predicts outcomes based on 'learned' patterns
24. How does it work?
"english" The quick brown fox jumped over the
The Prediction API lazy dog.
finds relevant
"english" To err is human, but to really foul things
features in the up you need a computer.
sample data during "spanish" No hay mal que por bien no venga.
training.
"spanish" La tercera es la vencida.
The Prediction API
later searches for ? To be or not to be, that is the
question.
those features
? La fe mueve montañas.
during prediction.
25. A virtually endless number of applications...
Customer Transaction Species Message Diagnostics
Sentiment Risk Identification Routing
Churn Legal Docket Suspicious Work Roster Inappropriate
Prediction Classification Activity Assignment Content
Recommend Political Uplift Email Career
Products Bias Marketing Filtering Counselling
... and many more ...
26. Using the Prediction API
A simple three step process...
Upload your training data to
1. Upload Google Storage
Build a model from your data
2. Train
3. Predict Make new predictions
27. Step 1: Upload
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}
28. Step 2: Train
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:
GET prediction/v1.3/training/mybucket%2Fmydata
{"kind": "prediction#training",...
,"training status": "DONE"}
29. Step 3: Predict
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" ]}}}
30. Step 3: Predict
Apply the trained model to make predictions on new data
POST prediction/v1.3/training/bucket%2Fdata/predict
{ "data":{
"input": { "text" : [
"J'aime X! C'est le meilleur" ]}}}
{ data : {
"kind" : "prediction#output",
"outputLabel":"French",
"outputMulti" :[
{"label":"French", "score": x.xx}
{"label":"English", "score": x.xx}
{"label":"Spanish", "score": x.xx}]}}
31. Step 3: Predict
Apply the trained model to make predictions on new data
import httplib
header = {"Content-Type" : "application/json"}#...put new data in JSON
format in params variable
conn = httplib.HTTPConnection("www.googleapis.com")conn.request
("POST",
"/prediction/v1.3/query/bucket%2Fdata/predict", params, header)print
conn.getresponse()
33. Demos!
● Command line Demos
○ Training a model
○ Checking training status
○ Making predictions
● A complete Web application using the JavaScript
API for Prediction
34. Prediction API Capabilities
Data
● Input Features: numeric or unstructured text
● Output: up to hundreds of discrete categories
Training
● Many machine learning techniques
● Automatically selected
● Performed asynchronously
Access from many platforms:
● Web app from Google App Engine
● Apps Script (e.g. from Google Spreadsheet)
● Desktop app
35. Prediction API - key features
● Multi-category prediction
○ Tag entry with multiple labels
● Continuous Output
○ Finer grained prediction rankings based on multiple labels
● Mixed Inputs
○ Both numeric and text inputs are now supported
Can combine continuous output with mixed inputs
37. Introducing Google BigQuery
● Google's large data adhoc analysis technology
○ Analyze massive amounts of data in seconds
● Simple SQL-like query language
● Flexible access
○ REST APIs, JSON-RPC, Google Apps Script
38. Many Use Cases ...
Interactive Trends
Spam
Tools Detection
Web Network
Dashboards Optimization
39. Key Capabilities of BigQuery
● Scalable: Billions of rows
● Fast: Response in seconds
● Simple: Queries in SQL
● Web Service
○ REST
○ JSON-RPC
○ Google App Scripts
40. Using BigQuery
Another simple three step process...
Upload your raw data to
1. Upload Google Storage
Import raw data into
2. Import
BigQuery table
3. Query Perform SQL queries on
table
41. Writing Queries
Compact subset of SQL
○ SELECT ... FROM ...
WHERE ...
GROUP BY ... ORDER BY ...
LIMIT ...;
Common functions
○ Math, String, Time, ...
Statistical approximations
○ TOP
○ COUNT DISTINCT
42. BigQuery via REST
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
43. BigQuery Security and Privacy
Standard Google Authentication
● Client Login
● AuthSub
● OAuth
HTTPS support
● protects your credentials
● protects your data
Relies on Google Storage to manage access
44. Large Data Analysis Example
Wikimedia Revision History
Wikimedia Revision history data from: http://download.wikimedia.
org/enwiki/latest/enwiki-latest-pages-meta-history.xml.7z
47. Recap
● Google App Engine
○ Application development platform for the cloud
● Google Storage
○ High speed cloud data storage on Google's
infrastructure
● Prediction API
○ Google's machine learning technology able to predict
outcomes based on sample data
● BigQuery
○ Interactive analysis of very large data sets
○ Simple SQL query language access
48. Further info available at:
● Google App Engine
○ http://code.google.com/appengine
● Google Storage for Developers
○ http://code.google.com/apis/storage
● Prediction API
○ http://code.google.com/apis/predict
● BigQuery
○ http://code.google.com/apis/bigquery