This document summarizes Patrick Chanezon's presentation on Google Cloud Services at Google Developer Day 2010. The presentation introduced several Google cloud platforms and APIs, including Google App Engine for building scalable web applications, Google Storage for storing data in the cloud, Google Prediction API for machine learning, Google BigQuery for interactive analysis of large datasets, Google Fusion Tables for managing tabular data, and Google Visualization API for data visualization. Real-world examples of how various Google cloud services can be combined to build cloud applications were provided.
JFokus 2011 - Google Cloud for Java Developers: Platform and MonetizationPatrick Chanezon
This session will provide developers with an overview of Google Cloud computing services and monetization opportunities:
* Google App Engine Java: Developers can leverage Google's cloud infrastructure to run their Java applications at scale, leveraging Java standards such as Java Servlet, Java Data Objects, and Java Persistence API.
* Google App Engine for Business: targeted at Enterprises, with SLA, paid support, and SQL
* Google Storage, Prediction and BigQuery APIs: storage, machine learning and interactive analytics services powered by Google infrastructure.
* Google Apps Marketplace: allows developers to integrate Google Apps in their applications and sell them to Google Apps customers.
* Google Fusion Tables, Maps API, Visualization API to create powerful and interactive visualization of data
Google I/O 2016 - Connection from Real to VirtualCraig KUO
Summary of Google I/O in 2016 for design professional. We shared how google connect user's life by new services and what we can start doing for their new eco-system.
2016 Cloud vs. On Premise Brand Leader Survey ReportIT Brand Pulse
This IT Brand Pulse mini-report includes only market leader data from the independent, non-sponsored survey covering six categories of brand leadership–Market, Price, Performance, Reliability, Service & Support and Innovation–for fourteen classes of Cloud Service and On-Premise Providers.
Complete survey data for each product category is available. Please contact us at info@itbrandpulse.com for information and pricing.
Read the 2016 Cloud and On-Premise Brand Leader Survey Press Release: http://www.itbrandpulse.com/press-release/it-pros-vote-2016-cloud-and-on-premise-brand-leaders/
Overview of Google Cloud products for Developers, to build, sell and monetize web apps: Google Apps Marketplace, App Engine, App Engine for Business, Google Storage, Prediction and BigQuery APIs.
JFokus 2011 - Google Cloud for Java Developers: Platform and MonetizationPatrick Chanezon
This session will provide developers with an overview of Google Cloud computing services and monetization opportunities:
* Google App Engine Java: Developers can leverage Google's cloud infrastructure to run their Java applications at scale, leveraging Java standards such as Java Servlet, Java Data Objects, and Java Persistence API.
* Google App Engine for Business: targeted at Enterprises, with SLA, paid support, and SQL
* Google Storage, Prediction and BigQuery APIs: storage, machine learning and interactive analytics services powered by Google infrastructure.
* Google Apps Marketplace: allows developers to integrate Google Apps in their applications and sell them to Google Apps customers.
* Google Fusion Tables, Maps API, Visualization API to create powerful and interactive visualization of data
Google I/O 2016 - Connection from Real to VirtualCraig KUO
Summary of Google I/O in 2016 for design professional. We shared how google connect user's life by new services and what we can start doing for their new eco-system.
2016 Cloud vs. On Premise Brand Leader Survey ReportIT Brand Pulse
This IT Brand Pulse mini-report includes only market leader data from the independent, non-sponsored survey covering six categories of brand leadership–Market, Price, Performance, Reliability, Service & Support and Innovation–for fourteen classes of Cloud Service and On-Premise Providers.
Complete survey data for each product category is available. Please contact us at info@itbrandpulse.com for information and pricing.
Read the 2016 Cloud and On-Premise Brand Leader Survey Press Release: http://www.itbrandpulse.com/press-release/it-pros-vote-2016-cloud-and-on-premise-brand-leaders/
Overview of Google Cloud products for Developers, to build, sell and monetize web apps: Google Apps Marketplace, App Engine, App Engine for Business, Google Storage, Prediction and BigQuery APIs.
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
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.
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.
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"
Part 1: App Engine for Business によって、Google のアプリケーションを支えているのと同じスケーラブルなシステムを使ってエンタープライズアプリケーションを作成する事ができます。このセッションではエンタープライズの要求に答えるために用意されている API, 分かりやすい課金体系, SLA とサポートについて紹介します。 Part 2: Google がリリースしようとしている新しい Cloud サービス群の紹介をします。1) Google Storage for Developers は Google のインフラストラクチャ上にデータを保存,アクセスするための RESTful なサービスです。2) BigQuery は大規模なデータセットに対してインタラクティブな分析を行う Web サービスです。3) Prediction API はデータから機械学習により予測を行うための API です。
Giovanni Galloro - Make your applications see, understand and talk with Googl...Codemotion
We will explore some of the AI capabilities present on GCP that are making Machine Learning accessible to any developer: from recognizing what’s inside an image to understand what your users are saying and how they feel about it and answering their questions.
Using Pivotal Cloud Foundry with Google’s BigQuery and Cloud Vision APIVMware Tanzu
Enterprise development teams are building applications that increasingly take advantage of high-performing cloud databases, storage, and even machine learning. In this webinar, Pivotal and Google will review how enterprises can combine proven cloud-native patterns with groundbreaking data and analytics technologies to deliver apps that provide a competitive advantage. Further, we will conduct an in-depth review of a sample Spring Boot application that combines PCF and Google’s most popular analytics services, BigQuery and Cloud Vision API.
Speakers:
Tino Tereshko, Big Data Lead, Google
Joshua McKenty, Senior Director, Platform Engineering, Pivotal
Kubernetes has many ways to scale your workloads, most of what we hear about is scaling our cluster up with either with vm sets or autoscaling groups. There is another way, in this talk we will look at virtual kubelet. Virual Kubelet will allow us to talk to a cloud providers container as a service platform like ACI, fargate or ECI. We will deep dive into how you can scale your applications across virtual kubelet. One issue is the kubernetes service type has is scaling to zero due to the way routing to the pod happens if there is no pod for the service to route too. Scaling our applications to zero is just as important and scaling up. We will look at projects that integrate with the horizontal pod autoscaler that fix this issue. Allowing us to not only scale our applications up but as easily down to make our cluster truly elastic.
KubeCon China 2019 - Building Apps with Containers, Functions and Managed Ser...Patrick Chanezon
Cloud native applications are composed of many technologies and components, but three canonical abstraction emerged in the past few years that help developers structure their architecture: container, functions responding to events, and managed services.
This talk will explain how to develop (Docker, local Kubernetes, virtual Kubelet, OpenFaaS), deploy (managed Kubernetes, functions and services) and package (CNAB specification and tooling) applications using these three components and look at not only deployment workflows but also at day 2 concerns that a developer would need to consider in the cloud native landscape.
We will demo every topic and a Github repository will be available for developers to reproduce the demos and learn at their own pace.
Patrick Chanezon and Scott Coulton
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
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.
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.
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"
Part 1: App Engine for Business によって、Google のアプリケーションを支えているのと同じスケーラブルなシステムを使ってエンタープライズアプリケーションを作成する事ができます。このセッションではエンタープライズの要求に答えるために用意されている API, 分かりやすい課金体系, SLA とサポートについて紹介します。 Part 2: Google がリリースしようとしている新しい Cloud サービス群の紹介をします。1) Google Storage for Developers は Google のインフラストラクチャ上にデータを保存,アクセスするための RESTful なサービスです。2) BigQuery は大規模なデータセットに対してインタラクティブな分析を行う Web サービスです。3) Prediction API はデータから機械学習により予測を行うための API です。
Giovanni Galloro - Make your applications see, understand and talk with Googl...Codemotion
We will explore some of the AI capabilities present on GCP that are making Machine Learning accessible to any developer: from recognizing what’s inside an image to understand what your users are saying and how they feel about it and answering their questions.
Using Pivotal Cloud Foundry with Google’s BigQuery and Cloud Vision APIVMware Tanzu
Enterprise development teams are building applications that increasingly take advantage of high-performing cloud databases, storage, and even machine learning. In this webinar, Pivotal and Google will review how enterprises can combine proven cloud-native patterns with groundbreaking data and analytics technologies to deliver apps that provide a competitive advantage. Further, we will conduct an in-depth review of a sample Spring Boot application that combines PCF and Google’s most popular analytics services, BigQuery and Cloud Vision API.
Speakers:
Tino Tereshko, Big Data Lead, Google
Joshua McKenty, Senior Director, Platform Engineering, Pivotal
Kubernetes has many ways to scale your workloads, most of what we hear about is scaling our cluster up with either with vm sets or autoscaling groups. There is another way, in this talk we will look at virtual kubelet. Virual Kubelet will allow us to talk to a cloud providers container as a service platform like ACI, fargate or ECI. We will deep dive into how you can scale your applications across virtual kubelet. One issue is the kubernetes service type has is scaling to zero due to the way routing to the pod happens if there is no pod for the service to route too. Scaling our applications to zero is just as important and scaling up. We will look at projects that integrate with the horizontal pod autoscaler that fix this issue. Allowing us to not only scale our applications up but as easily down to make our cluster truly elastic.
KubeCon China 2019 - Building Apps with Containers, Functions and Managed Ser...Patrick Chanezon
Cloud native applications are composed of many technologies and components, but three canonical abstraction emerged in the past few years that help developers structure their architecture: container, functions responding to events, and managed services.
This talk will explain how to develop (Docker, local Kubernetes, virtual Kubelet, OpenFaaS), deploy (managed Kubernetes, functions and services) and package (CNAB specification and tooling) applications using these three components and look at not only deployment workflows but also at day 2 concerns that a developer would need to consider in the cloud native landscape.
We will demo every topic and a Github repository will be available for developers to reproduce the demos and learn at their own pace.
Patrick Chanezon and Scott Coulton
Dockercon 2019 Developing Apps with Containers, Functions and Cloud ServicesPatrick Chanezon
Cloud native applications are composed of containers, serverless functions and managed cloud services.
What is the best set of tools on your desktop to provide a rapid, iterative development experience and package applications using these three components?
This hand-on talk will explain how you can complement Docker Desktop, with it’s local Docker engine and Kubernetes cluster, with open source tools such as the Virtual Kubelet, Open Service Broker, the Gloo hybrid app gateway, Draft, and others, to build the most productive development inner-loop for these type of applications.
It will also cover how you can use the Cloud Native Application Bundle (CNAB) format and it’s implementation in the Docker app experimental tool to package your application and manage it with container supply chain tooling such as Docker Hub.
GIDS 2019: Developing Apps with Containers, Functions and Cloud ServicesPatrick Chanezon
Cloud native applications are increasingly composed of containers, serverless functions responding to events and managed cloud services. What is the best workflow and set of tools to provide a rapid, iterative development experience and to package applications using these three components?
This hand-on talk will compare and contrast several sets of tools and their associated workflows:
Using Docker Desktop, with its local Docker engine and Kubernetes cluster, with open source tools such as the Virtual Kubelet, or the Gloo hybrid app gateway, to build the most productive development inner-loop for these type of applications
OpenFaaS, Fn, or Nuclio open source serverless framework to run functions in containers locally
Telepresence to run a container locally, connected to a remote cluster
Helm and Draft
Knative
The talk will also cover how you can use the Cloud Native Application Bundle (CNAB) format and tools to package your applications and share them using a container registry.
Patrick Chanezon, un des pionniers du Cloud chez Google, VMware, Microsoft et Docker, vous raconte la révolution des conteneurs logiciels et comment certains concepts du taoïsme, wei-wu-wei, "agir sans agir", et ziran, naturel, ou spontanéïté, permettent d'en mieux cerner les enjeux.
Les conteneurs accélèrent l'adoption du Cloud en entreprise, avec des architectures hybride et multi cloud, la mise en place de démarches agiles et DevOps pour moderniser les applications existantes et réduire les coûts d'infrastructure, et permettent de nouveaux cas d'utilisation dans l'internet des objets et l'intelligence artificielle.
Moby is an open source project providing a "LEGO set" of dozens of components, the framework to assemble them into specialized container-based systems, and a place for all container enthusiasts to experiment and exchange ideas.
One of these assemblies is Docker CE, an open source product that lets you build, ship, and run containers.
This talk will explain how you can leverage the Moby project to assemble your own specialized container-based system, whether for IoT, cloud or bare metal scenarios.
We will cover Moby itself, the framework, and tooling around the project, as well as many of it’s components: LinuxKit, InfraKit, containerd, SwarmKit, Notary.
Then we will present a few use cases and demos of how different companies have leveraged Moby and some of the Moby components to create their own container-based systems.
Video at https://www.youtube.com/watch?v=kDp22YkD6WY
Microsoft Techsummit Zurich Docker and MicrosoftPatrick Chanezon
Docker and Microsoft have been collaborating both in open source and through their commercial partnership to bring the benefits of Docker Windows and Linux containers to Azure Enterprise customers. Docker’s container platform, Docker Enterprise Edition, is used to modernize traditioal applications, and move them to Azure, as well as to develop new cloud native applications using microservices architecture, bringing agility to developers and control to IT Pros. This talk will cover the latest developments in Docker’s container platform with planned support for Kubernetes in Docker for Windows, and Docker Enterprise Edition for Azure, Docker for Azure Stack to enable hybrid cloud deployments, Windows containers, Linux containers on Windows.
Develop and deploy Kubernetes applications with Docker - IBM Index 2018Patrick Chanezon
Docker Desktop and Enterprise Edition now both include Kubernetes as an optional orchestration component. This talk will explain how to use Docker Desktop (Mac or Windows) to develop and debug a cloud native application, then how Docker Enterprise Edition helps you deploy it to Kubernetes in production.
The Docker Way: modernize traditional applications without action (wu-wei) and create new cloud native microservices applications with naturalness (ziran).
This talk also provides a summary of all the DockerCon EU 2017 announcements: Kubernetes now supported in Docker, MTA, IBM partnership.
Building specialized container-based systems with Moby: a few use cases
This talk will explain how you can leverage the Moby project to assemble your own specialized container-based system, whether for IoT, cloud or bare metal scenarios. We will cover Moby itself, the framework, and tooling around the project, as well as many of it’s components: LinuxKit, InfraKit, containerd, SwarmKit, Notary. Then we will present a few use cases and demos of how different companies have leveraged Moby and some of the Moby components to create their own container-based systems.
Docker Cap Gemini CloudXperience 2017 - la revolution des conteneurs logicielsPatrick Chanezon
Si vous avez raté le début : Patrick Chanezon, un des pionniers du Cloud chez Google, VMware, Microsoft et Docker, vous raconte la révolution des conteneurs logiciels en quelques films ; comment ils accélèrent l'adoption du Cloud en entreprise, avec des architectures hybride et multi, la mise en place de démarches agiles et DevOps pour moderniser les applications existantes et réduire les coûts d'infrastructure, et permettent de nouveaux cas d'utilisation dans l'internet des objets et l'intelligence artificielle.
En bref, comment expliquer la stratégie des opérateurs du Cloud avec des films de science- fiction ? C’est le défi que va relever Patrick Chanezon, évangéliste chez Docker.
Docker moves very fast, with an edge channel released every month and a stable release every 3 months. Patrick will talk about how Docker introduced Docker EE and a certification program for containers and plugins with Docker CE and EE 17.03 (from March), the announcements from DockerCon (April), and the many new features planned for Docker CE 17.05 in May.
This talk will be about what's new in Docker and what's next on the roadmap
Oscon 2017: Build your own container-based system with the Moby projectPatrick Chanezon
Build your own container-based system
with the Moby project
Docker Community Edition—an open source product that lets you build, ship, and run containers—is an assembly of modular components built from an upstream open source project called Moby. Moby provides a “Lego set” of dozens of components, the framework for assembling them into specialized container-based systems, and a place for all container enthusiasts to experiment and exchange ideas.
Patrick Chanezon and Mindy Preston explain how you can leverage the Moby project to assemble your own specialized container-based system, whether for IoT, cloud, or bare-metal scenarios. Patrick and Mindy explore Moby’s framework, components, and tooling, focusing on two components: LinuxKit, a toolkit to build container-based Linux subsystems that are secure, lean, and portable, and InfraKit, a toolkit for creating and managing declarative, self-healing infrastructure. Along the way, they demo how to use Moby, LinuxKit, InfraKit, and other components to quickly assemble full-blown container-based systems for several use cases and deploy them on various infrastructures.
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.
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.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
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
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/
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
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Google Cloud - Boule de Cristal 2011
1. Google Cloud Services
Patrick Chanezon, Developer Advocate, Cloud
@chanezon, chanezon@google.com
Google Developer Day 2010
Friday, April 8, 2011
2. Boule de Cristal
• 2009 Social
• 2010 HTML5
• 2011 Cloud
Google Developer Day 2010
Friday, April 8, 2011
3. Agenda
• Google App Engine
• Google Storage for Developers
• BigQuery
• Prediction API
• Google Fusion Tables
• Google Visualization API
• Google Refine
Google Developer Day 2010
Friday, April 8, 2011
5. What is
cloud
computing?
3
Friday, April 8, 2011
6. Cloud Computing Defined
SaaS
PaaS
IaaS
Source: Gartner AADI Summit Dec 2009
Google Developer Day 2010
Friday, April 8, 2011
7. Cloud Computing Defined
SaaS
PaaS
IaaS
Source: Gartner AADI Summit Dec 2009
Google Developer Day 2010
Friday, April 8, 2011
8. Cloud Computing Defined
SaaS
PaaS
IaaS
Source: Gartner AADI Summit Dec 2009
Google Developer Day 2010
Friday, April 8, 2011
9. Cloud Computing Defined
SaaS
PaaS
IaaS
Source: Gartner AADI Summit Dec 2009
Google Developer Day 2010
Friday, April 8, 2011
10. Google's Cloud Offerings
1. Google Apps
2. Third party Apps:
Google Apps Marketplace
SaaS 3. ________
Google App Engine
PaaS
Google Storage
IaaS Prediction API
BigQuery
Google Developer Day 2010
Friday, April 8, 2011
11. Google's Cloud Offerings
Your Apps
1. Google Apps
2. Third party Apps:
Google Apps Marketplace
SaaS 3. ________
Google App Engine
PaaS
Google Storage
IaaS Prediction API
BigQuery
Google Developer Day 2010
Friday, April 8, 2011
12. Build and Buy all your enterprise cloud apps...
Buy from Google
Google Apps
for Business
Enterprise Application Platform
Enterprise Firewall
Enterprise Data Authentication Enterprise Services User Management
Google Developer Day 2010
8
Friday, April 8, 2011
13. Build and Buy all your enterprise cloud apps...
Buy from others Buy from Google
Google Apps Google Apps
Marketplace for Business
Enterprise Application Platform
Enterprise Firewall
Enterprise Data Authentication Enterprise Services User Management
Google Developer Day 2010
8
Friday, April 8, 2011
14. Build and Buy all your enterprise cloud apps...
Buy from others Buy from Google Build your own
Google Apps Google Apps Google App Engine
Marketplace for Business for Business
Enterprise Application Platform
Enterprise Firewall
Enterprise Data Authentication Enterprise Services User Management
Google Developer Day 2010
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Friday, April 8, 2011
15. Google App Engine
- Easy to build
- Easy to maintain
- Easy to scale
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16. Cloud development in a box
• SDK & “The Cloud”
• Hardware
• Networking
• Operating system
• Application runtime
Java, Python
o
• Static file serving
• Services
• Fault tolerance
• Load balancing
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17. App Engine Services
Memcache Datastore URL Fetch
Mail XMPP Task Queue
Images Blobstore User Service
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18. Always free to get started
~5M pageviews/month
• 6.5 CPU hrs/day
• 1 GB storage
• 650K URL Fetch calls/day
• 2,000 recipients emailed
• 1 GB/day bandwidth
• 100,000 tasks enqueued
• 650K XMPP messages/day
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19. Purchase additional resources *
* free monthly quota of ~5 million page views still in full effect
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20. Google App Engine for Business
Same scalable cloud hosting platform. Designed for the enterprise.
• Enterprise application management
– Centralized domain console
• Enterprise reliability and support
– 99.9% Service Level Agreement
– Premium Developer Support
• Hosted SQL
– Managed relational SQL database in the cloud
• SSL on your domain
– Including "naked" domain support
• Secure by default
– Integrated Single Sign On (SSO)
• Pricing that makes sense Google App Engine
for Business
– Pay only for what you use
* Hosted SQL and SSL on your domain available later this year
Google Developer Day 2010
Friday, April 8, 2011
21. Google Storage for Developers
Store your data in Google's cloud
Google Developer Day 2010
Friday, April 8, 2011
22. 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
Google Developer Day 2010
Friday, April 8, 2011
23. Some Early Google Storage Adopters
Google Developer Day 2010
Friday, April 8, 2011
24. Google Storage usage within Google
Google Google
BigQuery Prediction API
Haiti Relief Imagery USPTO data
Partner Reporting Partner Reporting
Google Developer Day 2010
Friday, April 8, 2011
25. Google Storage - Availability
Limited preview in US* currently
• 100GB free storage and network per account
• Sign up for wait list at
• http://code.google.com/apis/storage/
* Non-US preview available on case-by-case basis
Google Developer Day 2010
Friday, April 8, 2011
26. Google BigQuery
Interactive analysis of large datasets in Google's cloud
Google Developer Day 2010
Friday, April 8, 2011
27. 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
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Google Developer Day 2010
Friday, April 8, 2011
28. Why BigQuery?
Working with large data is a challenge
Google Developer Day 2010
Friday, April 8, 2011
29. Many Use Cases ...
Trends
Interactive Spam
Detection
Tools
Web Network
Dashboards Optimization
Google Developer Day 2010
Friday, April 8, 2011
30. Key Capabilities of BigQuery
• Scalable: Billions of rows
• Fast: Response in seconds
• Simple: Queries in SQL
• Web Service
o REST
o JSON-RPC
o Google App Scripts
Google Developer Day 2010
Friday, April 8, 2011
31. Writing Queries
Compact subset of SQL
o SELECT ... FROM ...
WHERE ...
GROUP BY ... ORDER BY ...
LIMIT ...;
Common functions
o Math, String, Time, ...
Additional statistical approximations
o TOP
o COUNT DISTINCT
Google Developer Day 2010
Friday, April 8, 2011
32. 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
Google Developer Day 2010
Friday, April 8, 2011
33. 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
Google Developer Day 2010
Friday, April 8, 2011
34. 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
Google Developer Day 2010
Friday, April 8, 2011
35. BigQuery from a Spreadsheet
Google Developer Day 2010
Friday, April 8, 2011
36. BigQuery from a Spreadsheet
Google Developer Day 2010
Friday, April 8, 2011
37. Google Prediction API
Google's prediction engine in the cloud
Google Developer Day 2010
Friday, April 8, 2011
38. Introducing the Google Prediction API
• Google's sophisticated machine learning technology
• Available as an on-demand RESTful HTTP web service
Google Developer Day 2010
Friday, April 8, 2011
39. 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 Counseling
... and many more ...
Google Developer Day 2010
Friday, April 8, 2011
40. How does it work?
1. TRAIN The quick brown fox jumped over the
"english"
The Prediction API lazy dog.
finds relevant To err is human, but to really foul things
features in the "english"
up you need a computer.
sample data during
"spanish" No hay mal que por bien no venga.
training.
"spanish" La tercera es la vencida.
2. PREDICT To be or not to be, that is the
?
The Prediction API question.
later searches for ? La fe mueve montañas.
those features
during prediction.
Google Developer Day 2010
Friday, April 8, 2011
41. 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
Google Developer Day 2010
Friday, April 8, 2011
42. Prediction API Capabilities
Data
• Input Features: numeric or unstructured text
• Output: up to hundreds of discrete categories, or
continuous values
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
Google Developer Day 2010
Friday, April 8, 2011
43. Prediction API - Pricing
Free Quota in trial/development
• 100 predictions/day, 5MB trained/day
• Available for 6 months
Paid Usage
• $10/month per project includes 10,000 predictions
• Additional predictions are $0.50 per 1,000
• Absolute limit of 60,000 predictions per day
• $0.002 per MB trained (max size per dataset is 100MB)
Google Developer Day 2010
Friday, April 8, 2011
44. Prediction API- Availability
Limited preview in US* currently
• Sign up for wait list at
• http://code.google.com/apis/predict/
* Non-US preview available on case-by-case basis
Google Developer Day 2010
Friday, April 8, 2011
46. Google Fusion Tables
• Manage large collections of tabular data in the cloud
• 100 Mb tables
• Filters, Aggregation, Merge
• ACL, Collaboration, Discuss Data
• Visualizations
• REST API
• Geo queries
• Maps Integration
• FusionTablesLayer
Google Developer Day 2010
Friday, April 8, 2011
49. Google Visualization API
• Collection of JavaScript Visualization components
• Some from Google (Chart Tools)
• Some from other developers
• Share the same wire protocol for Data Sources
Google Developer Day 2010
Friday, April 8, 2011
50. Example: Weather data
• US National Climatic Data Center
• weather data at stations around the globe since 1929
• Stored in Google Storage
• Created a Table for Bigquery
• Upload Weather Station coordinates in Fusion Tables
• App Engine App
• Maps API to display weather station Maps
• Bigquery to query average temperature in January
• A bit of Python to create a JSON Data Source
• Visualization API
• Just an example: rince, repeat, enhance!
Google Developer Day 2010
Friday, April 8, 2011
52. Google Refine
Google Developer Day 2010
Friday, April 8, 2011
53. Google Refine
• Power tool for working with messy data
• Cleanup
• Transform
• Augment
• (Link with FreeBase)
• Desktop software for now
• http://code.google.com/p/google-refine/
Google Developer Day 2010
Friday, April 8, 2011
54. Google Refine
Google Developer Day 2010
Friday, April 8, 2011
55. Recap
• Google App Engine
o Easy to build, deploy and manage web apps
• Google Storage
o High speed data storage on Google Cloud
• Prediction API
o Google's machine learning technology
• BigQuery
o Interactive analysis of very large data sets
• Google Fusion Tables
o Manage collections of tabular data in the cloud
• Google Refine
o Power tool for working with messy data
• Google Visualization
o Collection of JavaScript Visualization
Google Developer Day 2010
Friday, April 8, 2011
56. Goole IO Extended a Montreal
Google Developer Day 2010
Friday, April 8, 2011
57. More information
http://code.google.com/apis/
http://code.google.com/more/table/
Google Developer Day 2010
Friday, April 8, 2011