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.
Google Cloud - Scale With A Smile (Dec 2014)Ido Green
Β
"Google's ability to build, organize, and operate a huge network of servers and fiber-optic cables with an efficiency and speed that rocks physics on its heels. This is what makes Google Google: its physical network, its thousands of fiber miles, and those many thousands of servers that, in aggregate, add up to the mother of all clouds.β - Wired
---
Well, Wired hit the nail on the head with this quote about our platform. In this presentation we cover most of the new interesting features that will give you the ability to scale with (a big) smile!
Scale with a smile with Google Cloud Platform At DevConTLV (June 2014)Ido Green
Β
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.
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.
Google Cloud - Scale With A Smile (Dec 2014)Ido Green
Β
"Google's ability to build, organize, and operate a huge network of servers and fiber-optic cables with an efficiency and speed that rocks physics on its heels. This is what makes Google Google: its physical network, its thousands of fiber miles, and those many thousands of servers that, in aggregate, add up to the mother of all clouds.β - Wired
---
Well, Wired hit the nail on the head with this quote about our platform. In this presentation we cover most of the new interesting features that will give you the ability to scale with (a big) smile!
Scale with a smile with Google Cloud Platform At DevConTLV (June 2014)Ido Green
Β
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.
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.
Introduction to Google's Cloud TechnologiesChris Schalk
Β
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.
This is a 1-hr tech talk designed for developers to give a comprehensive, vendor-agnostic overview of cloud computing, primarily targeting educators in the higher education market but is open to any developer. This is followed by an introduction to products in Google Cloud, focusing on the serverless products. The talk ends with several inspirational examples of what can be built with Google Cloud
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 !!!
Building what's next with google cloud's powerful infrastructureMediaAgility
Β
Building What's Next with Google Cloud's Powerful Infrastructure. Companies are facing increasing challenges
Be more data driven, but on-prem data is hard to access, analyze, and use
Have to focus to stay ahead of competition, canβt afford wasted efforts
Attract and retain customers and employees with great experiences
Security threats keep growing
Be more agile - turn IT into competitive advantage
Google is focused on helping companies meet those challenges. To know more feel free to explore these slides and write back to us.
https://www.learntek.org/google-cloud-platform-gcp-training/
https://www.learntek.org/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
Google Cloud Platform itself has been on a very rapid rise over the past few years. It has a lot of advantages over AWS or Microsoft Azure. In this slideshow, you can learn more about these top advantages. For more details, you can also read this post https://kinsta.com/blog/google-cloud-hosting/
Introduction to Google Cloud Services / PlatformsNilanchal
Β
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.
Here's an intro to the 30 Days of Google Cloud program to kickstart your career in the cloud as well as earn exciting prizes & digital badges. To start with, your facilitator, Mohini Gupta, will be taking you on board this journey, explaining you these :
1.) Introduction to the program
2.) About GCP Crash Course
3.) A Tour of Qwiklabs and the Google Cloud Platform Lab
4.) Hands-on lab experience
Introduction to Google's Cloud TechnologiesChris Schalk
Β
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.
This is a 1-hr tech talk designed for developers to give a comprehensive, vendor-agnostic overview of cloud computing, primarily targeting educators in the higher education market but is open to any developer. This is followed by an introduction to products in Google Cloud, focusing on the serverless products. The talk ends with several inspirational examples of what can be built with Google Cloud
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 !!!
Building what's next with google cloud's powerful infrastructureMediaAgility
Β
Building What's Next with Google Cloud's Powerful Infrastructure. Companies are facing increasing challenges
Be more data driven, but on-prem data is hard to access, analyze, and use
Have to focus to stay ahead of competition, canβt afford wasted efforts
Attract and retain customers and employees with great experiences
Security threats keep growing
Be more agile - turn IT into competitive advantage
Google is focused on helping companies meet those challenges. To know more feel free to explore these slides and write back to us.
https://www.learntek.org/google-cloud-platform-gcp-training/
https://www.learntek.org/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
Google Cloud Platform itself has been on a very rapid rise over the past few years. It has a lot of advantages over AWS or Microsoft Azure. In this slideshow, you can learn more about these top advantages. For more details, you can also read this post https://kinsta.com/blog/google-cloud-hosting/
Introduction to Google Cloud Services / PlatformsNilanchal
Β
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.
Here's an intro to the 30 Days of Google Cloud program to kickstart your career in the cloud as well as earn exciting prizes & digital badges. To start with, your facilitator, Mohini Gupta, will be taking you on board this journey, explaining you these :
1.) Introduction to the program
2.) About GCP Crash Course
3.) A Tour of Qwiklabs and the Google Cloud Platform Lab
4.) Hands-on lab experience
Modern Machine Learning Infrastructure and PracticesWill Gardella
Β
Slides from Curtis Huang's talk at the Couchbase Meetup in Mountain View on August 18th. Curtis is a Senior Software Engineer at Facebook working on Machine Learning, with experience in both ad tech and search.
"AI and machine learning have transformed the technology industry for the last decade, creating a foundation for web search, ranking/recommendation, and object/speech recognition. In this talk, I will discuss a collection of machine learning approaches to effectively analyzing and modeling large-scale data. From a hands-on practitioner's perspective, I will talk about the process of building a ML pipeline from idea to production, the challenges, and lessons learned. As an example, I will describe the infrastructure and components of a modern ML ranking system."
Thinking Outside the Container: Deploying Standalone Apps to Cloud FoundryJennifer Hickey
Β
Some applications simply cannot be contained. Perhaps you want to write a worker that periodically polls for updates or performs a maintenance task. Perhaps you would like to use a new lightweight web framework. You donβt necessarily want to build a WAR for these types of apps. With Cloud Foundry, you donβt have to! In this session from SpringOne 2012, we will build and deploy several types of standalone applications, from distributed workers built with Spring Integration and Akka, to container-less web applications built with vert.x and spray, to bring-your-own-container apps that embed Jetty. If youβre a Java or Scala developer who likes to βthink outside the containerβ, this talk is for you!
How to put 100k lines of code into the (Google) cloud: storms and rainbowsPaolo Predonzani
Β
Many examples of cloud-based applications start from scratch... but is it possible to deploy an existing, complex application on the cloud in a reasonable time?
We present our experience in porting the Portofino open-source enterprise platform to Google App Engine, discussing difficulties and advantages.
Google Cloud Platform: Prototype ->Production-> Planet scaleIdan Tohami
Β
As one of Big Dataβs Founding Fathers, Google explored the technological changes we faced over the past 10 years and present their solutions to the new data challenges within the Google Cloud ecosystem
We've been busy making improvements and adding features since Cloud Foundry's first birthday! Watch this session from SpringOne 2012 to get an in-depth view of the latest and greatest in Cloud Foundry. It's easier than ever before to build and deploy your distributed polyglot applications. You will see some exciting new options, including new Java and Node runtimes and support for background workers and container-less web apps. These features allow you to create distributed apps comprised of many smaller, focused apps each written in the framework that fits its purpose best. We will also explore the latest in tooling, including new features in the STS plugin and the brand new "next gen" VMC client. We will peek under the hood to see what's new in the Cloud Foundry architecture. You may even get a sneak preview of some upcoming features! From Cloud Foundry beginner to expert, this session has something for everyone.
A full Machine learning pipeline in Scikit-learn vs in scala-Spark: pros and ...Jose Quesada (hiring)
Β
The machine learning libraries in Apache Spark are an impressive piece of software engineering, and are maturing rapidly. What advantages does Spark.ml offer over scikit-learn? At Data Science Retreat we've taken a real-world dataset and worked through the stages of building a predictive model -- exploration, data cleaning, feature engineering, and model fitting; which would you use in production?
The machine learning libraries in Apache Spark are an impressive piece of software engineering, and are maturing rapidly. What advantages does Spark.ml offer over scikit-learn?
At Data Science Retreat we've taken a real-world dataset and worked through the stages of building a predictive model -- exploration, data cleaning, feature engineering, and model fitting -- in several different frameworks. We'll show what it's like to work with native Spark.ml, and compare it to scikit-learn along several dimensions: ease of use, productivity, feature set, and performance.
In some ways Spark.ml is still rather immature, but it also conveys new superpowers to those who know how to use it.
Webinar presentation: November 15, 2016
The topics of interoperability and portability are significant considerations in relation to the use of cloud services, but there is confusion and misunderstanding of exactly what this entails.
Interoperability and Portability for Cloud Computing: A Guide provides a clear definition of interoperability and portability and how these relate to various aspects of cloud computing and to cloud services.
This webinar will describe interoperability and portability in terms of a set of common cloud computing scenarios. This approach assists in demonstrating that both interoperability and portability have multiple aspects and relate to a number of different components in the architecture of cloud computing, each of which needs to be considered in its own right. The aim is to give both cloud service customers and cloud service providers guidance in the provision and selection of cloud services indicating how interoperability and portability affect the cost, security and risk involved.
Download the CSCC's deliverable: http://www.cloud-council.org/deliverables/interoperability-and-portability-for-cloud-computing-a-guide.htm
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.
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.
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.
Top 10 Incredible Websites Built With Angular Framework75waytechnologies
Β
Technology is advancing, and βAngularβ is no exception. The way this technology has gained applause from developers across the globe, there is no shadow of a doubt we will soon discover more reasons to say βHelloβ to this technology.Β
Angular has been a quite popular framework for years and will rise high in the coming years. Whether it is building a big eCommerce web application or a single-page web application, this JavaScript front-end framework from Google is always considered the right pick. Yes, thatβs true! You might be in deep thought - how weβre so sure about this, right? Well, renowned companies like UpWork, Gmail, Google and more have already set a perfect example of how this technology can do wonders in this modern world.Β
Today, tech giants are reaping the benefit of this technology. There is a high possibility you might want to delve into this topic more. Right? Therefore, we bring you this blog post discussing the best websites built with the Angular framework and appreciated by tech experts for the excellence they achieved. So, what are you waiting for?
What's new in App Engine and intro to App Engine for BusinessChris Schalk
Β
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"
The talk will describe the results we got by adopting MongoDB in key areas of our business. Backcountry.com is a midsize company in constant evolution looking for growth in a extremely competitive ecosystem. We try to be agile and target fast prototyping and data-based decisions. Our dev stack used to heavily rely on Postgres and Oracle, but in a short period of time we were able to introduce MongoDB in a key set of applications and we've seen positive results. We're less dependent on monolithic applications and we're progressively moving to Microservices. By choosing MongoDB as one of our main technologies, our dev teams became more productive as well as mature. They see beyond relational approaches and explore more options to tackle different problems.
Control Your Video App's Destiny: Managing your post-launch D2C strategyJoshua Shulman, MA
Β
Creating a video distribution service/app is hard - managing and maintaining it is even harder. The official launch is just the beginning, ensuring that the app continues to run and your viewers stay happy & engaged is the true challenge. Bitmovin and Applicaster teamed up to explain the best practices to managing your video app once it's already launched, including but not limited to which metrics, services, and adjustments you need to be making to succeed in the long-term. Watch the full VOD Webinar here:
https://bit.ly/2TIGwTB
[Webinar] Expanding future mobile commerce with Magento PWA StudioCedCommerce
Β
Know everything right from gaining erudition about exploring the future prospects of the Progressive Web Apps.
Weβre here to make you familiar with:
- The global impact of PWAs on mobile commerce
- The way CedCommerce is increasing the scope of Magento PWA Studio
- Exploring the future prospects of PWA
- Ways to increase the conversion rates using PWA
These features will benefit the eCommerce merchants, and the customers as well.
Click To Watch Our Full Webinar Here: http://bit.ly/2LtLLSz
AD114 -- Beyond the Mobile Browser? Building Rich Mobile Applications for IBM...ddrschiw
Β
Sometimes mobile users need more than a browser version of a Lotus Domino application. When remote workers need to access Lotus Domino application data when out of network coverage, or when the data must be easily manipulated on-device, the browser just doesn't cut it -- enter Mobile Rich Client Applications. In this session, we'll present an overview of rich client application options for Lotus Domino and build several applications right before your very eyes!
apidays LIVE Paris - Break up Monoliths and lay them to REST! by Arun Narayan...apidays
Β
apidays LIVE Paris - Responding to the New Normal with APIs for Business, People and Society
December 8, 9 & 10, 2020
Break up Monoliths and lay them to REST!
Arun Narayanaswamy, Director Engineering at Amadeus
Similar to Building Enterprise Applications on Google Cloud Platform Cloud Computing Expo 2011 (20)
How to build Kick Ass Games in the CloudChris Schalk
Β
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.
Building Kick Ass Video Games for the CloudChris Schalk
Β
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
Building Integrated Applications on Google's Cloud TechnologiesChris Schalk
Β
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
Β
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
Quick Intro to Google Cloud TechnologiesChris Schalk
Β
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.
Building Apps on Google Cloud TechnologiesChris Schalk
Β
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.
Building Multi-platform Video Games for the CloudChris Schalk
Β
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
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.
Introduction to Google Cloud platform technologiesChris Schalk
Β
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
Β
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.
App Engine Overview @ Google Hackathon SXSW 2010Chris Schalk
Β
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
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
Β
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:
β’ The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
β’ Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
β’ Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
β’ 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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Β
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 4DianaGray10
Β
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
DevOps and Testing slides at DASA ConnectKari Kakkonen
Β
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.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
Β
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
Β
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Β
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/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
Β
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 3DianaGray10
Β
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
Β
Are you looking to streamline your workflows and boost your projectsβ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, youβre 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 βEssentials of Automationβ 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.
Hereβs what youβll 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.
Weβll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Donβt miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Β
Building Enterprise Applications on Google Cloud Platform Cloud Computing Expo 2011
1. Building Enterprise Applications on
Google's Cloud Platform
Chris Schalk
Developer Advocate @cschalk
Cloud Computing Expo
June 8th, 2011
2. Agenda
β Navigating the various Cloud Technologies
β A Brief History of App Engine
β App Engine... A Closer Look
β App Engine Leaving Preview
β Key Partner Success
β Google's new Cloud Technologies
β Enterprise Cloud Development on Google
β Q&A
4. Cloud landscape as Gartner Sees It
SaaS
PaaS
IaaS
Source: Gartner AADI Summit Dec 2009
5. Why classifying a PaaS is not so easy
β SaaS, IaaS are easy to understand... But is PaaS?
β What is a "Platform"?
β Is it purely a development platform?
β Does it involve infrastructure? Should it?
7. Why classifying a PaaS is not so easy
β What is the end goal of a PaaS?
β To make an admin's life easier?
β Or to make a developer's life easier?
8. App Engine's approach to PaaS
β Easy to build
β Easy to maintain
β Easy to scale
Focus on building your app, let us wear the pagers!
10. A Brief History of App Engine
2008 - App Engine Launches
β rapid development: python, dev_appserver
β automatic scaling
β 30s request deadline
β APIs: memcache, datastore, urlfetch, mail
β free quotas
2009 - Platform Expands
β Billing Support
β Java Runtime
β Task Queue & Cron
β XMPP API
β Blobstore API
β Datastore Replication
11. A Brief History of App Engine
2010 - Remove Limitations
β Datastore Query
β AppStats
β Mapper API
β 10 minute Tasks
β Channel API
β Always On
2011 - Enterprise
β High-Replication Datastore
β Prospective Search API
β File API
β ProtoRPC
β ...!
12. A Brief History of App Engine
Today (1.5.0)
β Backends
β Pull Queues with REST API
β High Replication Datastore as Default
Soon (h2 2011)
β Leaving Preview!
13. App Engine Growth
2008 2009 2010 2011
App Engine Batch write/read Java Task Queues Blobstore Multitenancy Hi-Replication
Launch Https DB Import XMPP Appstats Instance Console Datastore
Python Status- cron incoming email cursors Always On Channel API
Datastore Dashboard Mapper hi-perf imag Files API
Memcache 10 min tasks Remote API
logs export Prosp Search
19. Cloud Development in a Box
β Downloadable SDK
β Application runtimes
β Java, Python
β Local development tools
β Eclipse plugin,
AppEngine Launcher
β Specialized application
services
β Cloud based dashboard
β Ready to scale
β Built in fault tolerance, load
balancing
30. Production App Engine Features
β Full Google Product - 3 year deprecation support
β 99.95% SLA for all paid users
β Operational and Developer Support available
β New business-friendly Terms of Service
β Billing via invoice
β Rounded out feature set including Frontend and Backend
capabilities
β New sustainable pricing model
31. New pricing model Overview
β Usage types:
β Free - similar to today
β Paid - $9/app/mo (+ usage) including SLA
β Premier - $500/account/mo (+ usage) including operational
support
β No more CPU hours
β Charging for size and number of running Frontends/Backends
(incorporating CPU + memory)
β APIs (including Datastore) charged based on operations
β Add-ons
β For example: SSL for custom domains will be available for
monthly fee
32. New App Engine Pricing Model details (tentative)
Resource Unit Unit Cost Free per day
On-Demand Instances Instance-hour $0.08 24
Reserved Instances Instance-hour $0.05 -
Datastore Storage GB / mo $0.24 1G
Datastore Operations Operation $0.01 / 10k 50k
Blobstore Storage GB / mo $0.17 5G
Outgoing Bandwidth GB $0.15 1G
Incoming Bandwidth GB $0.10 1G
Email API Recipients $0.03 / 100 100
XMPP API Stanza $0.01 / 1k 1k
Channel API Channel Opened $0.01 / 100 100
33. What is happening to App Engine for Business?
β Preview was announced at Google IO 2010
β 99.9% SLA
β Premium Developer Support
β Custom domain SSL
β Simplified Pricing model
β Company specific administration console
β Trusted Tester program started in Q3 2010
β Gave early access to hundreds of developers
β Held internal and external workshops and webinars to
gather feedback
34. What is happening to App Engine for Business?
β Overall feedback from Trusted Testers
β All customers were interested in GAE4B features: SLA,
Support, Hosted SQL, SSL for custom domains
β But..
β Certain aspects of GAE4B were not fully realistic
β Not all companies were focused purely on
building internal apps
β Per user, per app pricing was not appropriate for
all companies
37. WebFilings Overview
Started building product in May 2008
β GAE-based from day one
β Greatly simplified development,
deployment, and maintenance
β Cost-effective
β Supports agile development
Launched product mid-March 2010
β Hundreds of customers with
hundreds more signing-up every
quarter
β Marquee customers from F100
β Fastest growing company in our
market
WebFilingsβ collaborative, browser-based software dramatically improves the efficiency and
effectiveness of financial reporting teams
38. WebFilings Customers
Notable customers:
β Procter & Gamble
β Delta Airlines
β Valero Energy
β Sprint/Nextel
β eBay
β United Airlines
β Dish Network
β ...
Recently signed:
β One of the world's largest
banks
β The world's largest retailer
β One of the largest US
auto manufacturers
http://www.webfilings.com/customers/valued_customers
39. Massive Scalability Success
Official Royal Wedding on App
Engine
On Wedding day, served:
β Up to 32k requests per second
β 37.7 million pageviews
β 13.7 million visitors
http://goo.gl/F1SGc
41. New Google Cloud Technologies
β Google Storage
β Store your data in Google's cloud
β Prediction API
β Google's machine learning tech in an API
β BigQuery
β Hi-speed data analysis on massive scale
β SQL Service
β Relational Database in the cloud
42. What Is Google Storage?
β Store your data in Google's cloud
β any format, any amount, any time
β You control access to your data
β private, shared, or public
β Access via Google APIs or 3rd party tools/libraries
43. Google Storage Benefits
High Availability, Performance,
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
44. Google Storage powers Google Services
β Content hosting - images, data, etc.
Haiti Relief Imagery USPTO data
β Sharing
Partner Reporting Partner Reporting
β Data Import
Google Google
β Computation BigQuery Prediction API
45. Prediction API
β Google's sophisticated machine learning algorithms
β Available as an on-demand RESTful HTTP web service
Three Steps to a Smart App: Actual customer use cases
"predict retail product recommendations
Upload your Recommend based on our online purchase/browse
1. Upload training data to Products behavior"
Google Storage
"Auto-classification and sentiment Customer
analysis of magazine articles and blog Sentiment
posts"
2. Train Build a model
from your data "Predict profitability (+, or -) of
Transaction
insurance accounts compared to
Risk historical outcomes."
3. Predict Make new "Supply chain product predictions based
predictions on historical point of sale and invoice Supply
data broken down by distributor, product Chain
and store #."
46. BigQuery - Interactive Analysis of Big Data
β Scalable: Billions of rows
β Fast: Response in seconds
β Simple: Queries in SQL and offered as a web service
Three Steps to a Smart App:
β Access via RESTful API, Web UI, BigQuery
Shell, and Spreadsheet
Upload to
1. Upload Google Storage
β Example: Query Wikimedia revision history
(200M rows, 20G of data.) in < 10s
Import data into
2. Import BigQuery Table
3. Query Execute queries
via APIs
47. Google SQL Service
β A fully managed hosted SQL solution
β Millions of turn-key small, mid-size SQL Databases
β Fully hosted, native MySQL
β Multi-homed
β Engine agnostic - MySQL...
50. The Google Enterprise Development Platform
Buy from others Buy from Google Build your own
Google Apps Google Apps App Engine / Cloud
Marketplace for Business
Google Apps Centralized Admin
Enterprise Firewall
Enterprise Data Authentication Enterprise Services User Management
51. Build your own Apps with App Engine
Apps You Build
1. Google Apps
2. Third party Apps:
Google Apps Marketplace
SaaS 3. ________
Google App Engine
PaaS
Google Storage
IaaS Prediction, BigQuery
and more!
52. App Engine/Cloud Resources
Google App Engine
β http://code.google.com/appengine
Google Storage
β http://code.google.com/apis/storage
Google Prediction
β http://code.google.com/apis/predict
Google BigQuery
β http://code.google.com/apis/bigquery