SQLUG event: An evening in the cloud: the old, the new and the big Mike Martin
Belgian SQL UG talk On Windows Azure SQL Database and CO: The last couple of months have been very exciting times for Microsoft fans. With the release of the central flagship, SQL Server 2012, and the new and improved Cloud offering on Windows Azure, Microsoft managed to change the IT Landscape dramatically. During this talk we want to take you through all the SQL Server features in the Windows Azure Environment in either the full cloud spectrum or hybrid scenario’s. We’ll cover subjects like SQL Databases, IaaS, provisioning, integration, migration and touch some of the more computing topics in the Windows Azure when it comes to data. Going from the pure basics of all SQL related to the more advanced stuff you can do with this magnificent cloud platform.
Oracle Public Cloud: Oracle Java Cloud Service, by Nino GuarnacciCodemotion
Oracle Public Cloud è un Enterprise Cloud per le aziende in grado di fornire un portafoglio integrato di servizi, applicazioni e piattaforme basate sui prodotti leader e open standard: Java e SQL. Un portafoglio di servizi cloud in grado di fornire l'accesso immediato a - Oracle Fusion Applications (CRM, HCM, Social...) - Oracle Fusion Middleware(Java EE, SOA ...) - Oracle Database (DB, Apex ...) in un self-service completamente automatizzato, basato su sottoscrizione ed abbonamento
Cloudfoundry is an open source Platform as a Service (PaaS) that provides a variety of services for developing, deploying, and scaling applications. It uses a microservices architecture and containers to deploy applications. Developers can push applications to Cloudfoundry which will then store the application bits, track metadata, and direct a Droplet Execution Agent node to stage and run the application. Cloudfoundry also provides a marketplace of services that applications can use like databases through service instances. It implements role-based access control with organizations, spaces, and roles to control access and permissions.
Cloud Foundry Integration with Openstack and Docker. Briefly describes the essential elements for the integration of trios. Covered in a 30 minute session at Bangalore Cloud Foundry Meetup.
Cloud foundry Docker Openstack - Leading Open Source TriumvirateAnimesh Singh
OpenStack, Docker, and Cloud Foundry are the three most popular open source projects according to a recent cloud software survey. Docker has taken the cloud world by storm as a revolutionary way to not only run isolated application containers, but also to package them. But how does Docker fit into the paradigm of IaaS and PaaS? More specifically, how does it integrate with OpenStack and Cloud Foundry, the world's most popular infrastructure and platform service implementations? OpenStack, Docker, and Cloud Foundry are the three most popular open source projects according to a recent cloud software survey. Docker has taken the cloud world by storm as a revolutionary way to not only run isolated application containers, but also to package them. But how does Docker fit into the paradigm of IaaS and PaaS? More specifically, how does it integrate with OpenStack and Cloud Foundry, the world's most popular infrastructure and platform service implementations?
These charts from our OpenStack Summit talk Vancouver talk how the three leading open source cloud technologies are evolving to work together to support next generation workloads!
As a Service: Cloud Foundry on OpenStack - Lessons LearntAnimesh Singh
According to OpenStack users survey, Cloud Foundry is the 2nd most popular workload on OpenStack. You want to deploy Cloud Foundry on OpenStack or already have. What's next?
Cloud Foundry continues to evolve with revolutionary changes, e.g move from bosh-micro to bosh-init, using the new eCPI, move to Diego etc.
Same with OpenStack, e.g changes from Keystone v2 to v3, from Liberty to Mitaka, network plugins changes etc. Both IaaS and PaaS layers are changing frequently. How do you do in-place updates/upgrades/operational tasks without impacting user experience at both the layers?
In this talk will discuss our lessons learnt operating hybrid Cloud Foundry deployments on top of OpenStack over the last two years and how we used underlying technologies to seamlessly operate them
Pivotal Cf, the most advanced Enterpise PaaS Platform in the world. this presentations explains how PCF helps developers and operators and boost their operational agility and enhance their IT capabilities.
Cloud Foundry - Second Generation Code (CCNG). Technical Overview Nima Badiey
The document provides an overview of the Cloud Foundry technical platform. It describes how Cloud Foundry simplifies application deployment by allowing developers to push applications to the cloud with simple commands. It then summarizes the key components of Cloud Foundry, including the router, cloud controller, health manager, DEAs, buildpacks, messaging, service brokers, and BOSH. BOSH allows Cloud Foundry to be deployed and managed on an IaaS through the use of stemcells, agents, and a cloud provider interface.
Acquia Hosting is a cloud-based hosting platform tuned for high performance Drupal websites. It provides a complete infrastructure including hosted SVN access, staging servers, and production instances. The architecture is highly available with load balancing, caching layers, and redundancy to ensure scalability and uptime. Acquia manages the entire Drupal stack and infrastructure as a service to simplify site operations.
“Apache Hadoop, Now and Beyond”, Jim Walker, Director of Product Marketing, Hortonworks
Hadoop is an open source project that allows you to gain insight from massive amounts of structured and unstructured data quickly and without significant investment. It is shifting the way many traditional organizations think of analytics and business models. While it is deigned to take advantage of cheap commodity hardware, it is also perfect for the cloud as it is built to scale up or down without system interruption. In this presentation, Jim Walker will provide an overview of Apache Hadoop and its current state of adoption in and out of the cloud.
Optimizing Cloud Foundry and OpenStack for large scale deploymentsAnimesh Singh
This document discusses optimizing OpenStack for large scale Cloud Foundry deployments. It provides an overview of integrating Cloud Foundry with OpenStack including requirements, the BOSH deployment process, the OpenStack CPI, and automation opportunities around discovery, deployment, and stemcell handling. It also discusses scaling Cloud Foundry on OpenStack and optimizing deployments by increasing API rate limits and BOSH's NATS timeout.
Cloud Foundry and OpenStack - A Marriage Made in Heaven! (Cloud Foundry Summi...VMware Tanzu
Business Track presented by Animesh Singh, Lead Architect and Strategist at IBM.
Bring the world's best IaaS to the world's best PaaS, In this talk IBM and Rackspace are going to share their experiences of running Cloud Foundry on OpenStack. The talk will focus on how CloudFoundry and OpenStack complement each other, how they technically integrate using Cloud provider interface (CPI), how could we automate OpenStack setup for Cloud Foundry deployments, and what are some of the best practices for configuring a scalable environment.
MS TechDays 2011 - Cloud Computing with the Windows Azure PlatformSpiffy
This document provides an overview of the Windows Azure cloud computing platform. It discusses the types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then describes several key Windows Azure services like Compute, Storage, Database, Content Delivery Network, Reporting, Virtual Machines, Service Bus, Access Control, Caching, Virtual Network, and Marketplace. The presentation encourages Singapore companies using Windows Azure to contact Microsoft to have their applications featured. It concludes with inviting questions from attendees.
The document summarizes an App Engine update presentation given by David Chandler, a Google Developer Advocate. The presentation covered new App Engine features including improved SLAs, paid support options, security audits, backends, pull queues, the High Replication Datastore, query planner improvements, and XG transactions. It also provided examples of App Engine customers and common app types, and tips for optimizing performance including using memcache and content caching.
This document summarizes new features in SQL Server 2008 R2 including management, scalability, availability, and business intelligence enhancements. Key updates include improved multi-server management with the SQL Server Utility, data-tier application management, increased virtualization support through Hyper-V, Master Data Services, StreamInsight for complex event processing, PowerPivot for self-service reporting, and new premium editions for high scalability. It also provides an overview of SQL Server 2008 R2 editions and licensing changes.
Part 2: Architecture and the Operator Experience (Pivotal Cloud Platform Road...VMware Tanzu
The primary goals of this session are to:
Do a deep dive into the CF architecture via animated slides illustrating push, stage, deploy, scale, and health management.
Also do a brief dive into BOSH, including why BOSH, what it is, and animations of how it works. It’s not an operations focused workshop, so we keep the treatment light.
Discuss the value adds to CF BOSH OSS that Pivotal brings through the Pivotal Ops Manager product and our associated ecosystem of data and mobile services.
Quickly prove that I can push an app to a Pivotal CF environment running on vCHS in the same exact way I can push an app to PWS.
Pivotal Cloud Platform Roadshow is coming to a city near you!
Join Pivotal technologists and learn how to build and deploy great software on a modern cloud platform. Find your city and register now http://bit.ly/1poA6PG
The document discusses Windows Azure Mobile Services. It provides an overview of Azure Mobile features such as data storage, push notifications, authentication, and business logic capabilities. It also includes a demo of using the data storage and business logic features of Azure Mobile Services.
Azure Modern Cloud App Development Approaches 2017Vadim Zendejas
The document discusses different approaches for application development and hosting on Azure, including Infrastructure as a Service (IaaS), Container Services, Platform as a Service (PaaS), and Functions as a Service (FaaS). It provides examples of Azure services for each approach and highlights their benefits, such as flexibility, ease of deployment, and scalability, as well as limitations, such as management overhead and portability. The document aims to help users understand the tradeoffs of different cloud hosting models on Azure.
WebSphere Application Server - Meeting Your Cloud and On-Premise DemandsIan Robinson
WebSphere Application Server provides a composable Java EE runtime called Liberty that supports Java EE 7 and allows applications to be flexibly deployed on-premises or to the cloud. Liberty includes over 50 individual features that can be mixed and matched as needed. IBM is committed to continued Java EE 7 leadership for both Liberty and traditional WebSphere Application Server distributions.
The document discusses upcoming features for WebClient 1.8 and beyond, including improved mobile support through touch-optimized templates for iPhone, Android, and BlackBerry devices. It also outlines plans to enhance the core product with new themes, an accordion menu widget, improved scaling, and cloud computing integration. Future roadmaps envision expanding mobile capabilities and adding features like multiple document interfaces.
Cloud Foundry and OpenStack – Marriage Made in Heaven !Animesh Singh
Cloud Foundry Summit 2014 Presentation: Bring the world's best IaaS to the world's best PaaS, In this talk IBM and Rackspace are going to share their experiences of running Cloud Foundry on OpenStack. The talk will focus on how CloudFoundry and OpenStack complement each other, how they technically integrate using Cloud provider interface (CPI), how could we automate OpenStack setup for Cloud Foundry deployments, and what are some of the best practices for configuring a scalable environment.
This document contains a presentation on cloud computing concepts and Microsoft Azure. It discusses what cloud computing is, examples of cloud architectures like processing pipelines and websites, benefits of cloud computing like reduced costs and scalability, and an overview of Microsoft Azure including its features and how to deploy applications to Azure.
Cloud Foundry is an open platform as a service that allows developers to deploy and scale applications in seconds without locking themselves into a single cloud. It provides choice of development frameworks, deployment clouds, and application services. Cloud Foundry is used by developers to focus on writing applications rather than infrastructure management. It allows writing applications once and deploying to private or public clouds without code changes.
Cloud Foundry Technical Overview at IBM Interconnect 2016Stormy Peters
Cloud Foundry is an open source platform that allows developers to build, deploy, and manage cloud applications. It provides tools for continuous integration, deployment, and scaling of applications. The platform handles tasks like provisioning infrastructure, load balancing, and managing services so developers can focus on their code. Cloud Foundry uses containers and a buildpack system to make applications portable and scalable across different cloud environments.
Building a PaaS Platform like Bluemix on OpenStackAnimesh Singh
The document discusses building IBM Bluemix on OpenStack using IBM Cloud Manager. Key points include:
- Bluemix is IBM's Platform as a Service offering that allows developers to focus on code by providing integrated services and tools.
- IBM Cloud Manager with OpenStack extends OpenStack to manage heterogeneous environments and simplify deployment. It will be used to deploy Bluemix on OpenStack.
- BOSH will be used for deployment and lifecycle management of Bluemix on OpenStack. It leverages OpenStack APIs to deploy VMs from stemcells and manage the health of processes and VMs.
Java Web Programming on Google Cloud Platform [1/3] : Google App EngineIMC Institute
Google App Engine is a platform for hosting web applications in Google's data centers. It allows developers to build applications on scalable infrastructure without having to manage servers. Key features include automatic scaling, high availability, easy deployment, and built-in services like Datastore, Memcache and Task Queue. The development process involves using the App Engine SDK, which includes a local development server that emulates the live environment. Applications are deployed to App Engine by uploading the compiled code.
Pivotal Cf, the most advanced Enterpise PaaS Platform in the world. this presentations explains how PCF helps developers and operators and boost their operational agility and enhance their IT capabilities.
Cloud Foundry - Second Generation Code (CCNG). Technical Overview Nima Badiey
The document provides an overview of the Cloud Foundry technical platform. It describes how Cloud Foundry simplifies application deployment by allowing developers to push applications to the cloud with simple commands. It then summarizes the key components of Cloud Foundry, including the router, cloud controller, health manager, DEAs, buildpacks, messaging, service brokers, and BOSH. BOSH allows Cloud Foundry to be deployed and managed on an IaaS through the use of stemcells, agents, and a cloud provider interface.
Acquia Hosting is a cloud-based hosting platform tuned for high performance Drupal websites. It provides a complete infrastructure including hosted SVN access, staging servers, and production instances. The architecture is highly available with load balancing, caching layers, and redundancy to ensure scalability and uptime. Acquia manages the entire Drupal stack and infrastructure as a service to simplify site operations.
“Apache Hadoop, Now and Beyond”, Jim Walker, Director of Product Marketing, Hortonworks
Hadoop is an open source project that allows you to gain insight from massive amounts of structured and unstructured data quickly and without significant investment. It is shifting the way many traditional organizations think of analytics and business models. While it is deigned to take advantage of cheap commodity hardware, it is also perfect for the cloud as it is built to scale up or down without system interruption. In this presentation, Jim Walker will provide an overview of Apache Hadoop and its current state of adoption in and out of the cloud.
Optimizing Cloud Foundry and OpenStack for large scale deploymentsAnimesh Singh
This document discusses optimizing OpenStack for large scale Cloud Foundry deployments. It provides an overview of integrating Cloud Foundry with OpenStack including requirements, the BOSH deployment process, the OpenStack CPI, and automation opportunities around discovery, deployment, and stemcell handling. It also discusses scaling Cloud Foundry on OpenStack and optimizing deployments by increasing API rate limits and BOSH's NATS timeout.
Cloud Foundry and OpenStack - A Marriage Made in Heaven! (Cloud Foundry Summi...VMware Tanzu
Business Track presented by Animesh Singh, Lead Architect and Strategist at IBM.
Bring the world's best IaaS to the world's best PaaS, In this talk IBM and Rackspace are going to share their experiences of running Cloud Foundry on OpenStack. The talk will focus on how CloudFoundry and OpenStack complement each other, how they technically integrate using Cloud provider interface (CPI), how could we automate OpenStack setup for Cloud Foundry deployments, and what are some of the best practices for configuring a scalable environment.
MS TechDays 2011 - Cloud Computing with the Windows Azure PlatformSpiffy
This document provides an overview of the Windows Azure cloud computing platform. It discusses the types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then describes several key Windows Azure services like Compute, Storage, Database, Content Delivery Network, Reporting, Virtual Machines, Service Bus, Access Control, Caching, Virtual Network, and Marketplace. The presentation encourages Singapore companies using Windows Azure to contact Microsoft to have their applications featured. It concludes with inviting questions from attendees.
The document summarizes an App Engine update presentation given by David Chandler, a Google Developer Advocate. The presentation covered new App Engine features including improved SLAs, paid support options, security audits, backends, pull queues, the High Replication Datastore, query planner improvements, and XG transactions. It also provided examples of App Engine customers and common app types, and tips for optimizing performance including using memcache and content caching.
This document summarizes new features in SQL Server 2008 R2 including management, scalability, availability, and business intelligence enhancements. Key updates include improved multi-server management with the SQL Server Utility, data-tier application management, increased virtualization support through Hyper-V, Master Data Services, StreamInsight for complex event processing, PowerPivot for self-service reporting, and new premium editions for high scalability. It also provides an overview of SQL Server 2008 R2 editions and licensing changes.
Part 2: Architecture and the Operator Experience (Pivotal Cloud Platform Road...VMware Tanzu
The primary goals of this session are to:
Do a deep dive into the CF architecture via animated slides illustrating push, stage, deploy, scale, and health management.
Also do a brief dive into BOSH, including why BOSH, what it is, and animations of how it works. It’s not an operations focused workshop, so we keep the treatment light.
Discuss the value adds to CF BOSH OSS that Pivotal brings through the Pivotal Ops Manager product and our associated ecosystem of data and mobile services.
Quickly prove that I can push an app to a Pivotal CF environment running on vCHS in the same exact way I can push an app to PWS.
Pivotal Cloud Platform Roadshow is coming to a city near you!
Join Pivotal technologists and learn how to build and deploy great software on a modern cloud platform. Find your city and register now http://bit.ly/1poA6PG
The document discusses Windows Azure Mobile Services. It provides an overview of Azure Mobile features such as data storage, push notifications, authentication, and business logic capabilities. It also includes a demo of using the data storage and business logic features of Azure Mobile Services.
Azure Modern Cloud App Development Approaches 2017Vadim Zendejas
The document discusses different approaches for application development and hosting on Azure, including Infrastructure as a Service (IaaS), Container Services, Platform as a Service (PaaS), and Functions as a Service (FaaS). It provides examples of Azure services for each approach and highlights their benefits, such as flexibility, ease of deployment, and scalability, as well as limitations, such as management overhead and portability. The document aims to help users understand the tradeoffs of different cloud hosting models on Azure.
WebSphere Application Server - Meeting Your Cloud and On-Premise DemandsIan Robinson
WebSphere Application Server provides a composable Java EE runtime called Liberty that supports Java EE 7 and allows applications to be flexibly deployed on-premises or to the cloud. Liberty includes over 50 individual features that can be mixed and matched as needed. IBM is committed to continued Java EE 7 leadership for both Liberty and traditional WebSphere Application Server distributions.
The document discusses upcoming features for WebClient 1.8 and beyond, including improved mobile support through touch-optimized templates for iPhone, Android, and BlackBerry devices. It also outlines plans to enhance the core product with new themes, an accordion menu widget, improved scaling, and cloud computing integration. Future roadmaps envision expanding mobile capabilities and adding features like multiple document interfaces.
Cloud Foundry and OpenStack – Marriage Made in Heaven !Animesh Singh
Cloud Foundry Summit 2014 Presentation: Bring the world's best IaaS to the world's best PaaS, In this talk IBM and Rackspace are going to share their experiences of running Cloud Foundry on OpenStack. The talk will focus on how CloudFoundry and OpenStack complement each other, how they technically integrate using Cloud provider interface (CPI), how could we automate OpenStack setup for Cloud Foundry deployments, and what are some of the best practices for configuring a scalable environment.
This document contains a presentation on cloud computing concepts and Microsoft Azure. It discusses what cloud computing is, examples of cloud architectures like processing pipelines and websites, benefits of cloud computing like reduced costs and scalability, and an overview of Microsoft Azure including its features and how to deploy applications to Azure.
Cloud Foundry is an open platform as a service that allows developers to deploy and scale applications in seconds without locking themselves into a single cloud. It provides choice of development frameworks, deployment clouds, and application services. Cloud Foundry is used by developers to focus on writing applications rather than infrastructure management. It allows writing applications once and deploying to private or public clouds without code changes.
Cloud Foundry Technical Overview at IBM Interconnect 2016Stormy Peters
Cloud Foundry is an open source platform that allows developers to build, deploy, and manage cloud applications. It provides tools for continuous integration, deployment, and scaling of applications. The platform handles tasks like provisioning infrastructure, load balancing, and managing services so developers can focus on their code. Cloud Foundry uses containers and a buildpack system to make applications portable and scalable across different cloud environments.
Building a PaaS Platform like Bluemix on OpenStackAnimesh Singh
The document discusses building IBM Bluemix on OpenStack using IBM Cloud Manager. Key points include:
- Bluemix is IBM's Platform as a Service offering that allows developers to focus on code by providing integrated services and tools.
- IBM Cloud Manager with OpenStack extends OpenStack to manage heterogeneous environments and simplify deployment. It will be used to deploy Bluemix on OpenStack.
- BOSH will be used for deployment and lifecycle management of Bluemix on OpenStack. It leverages OpenStack APIs to deploy VMs from stemcells and manage the health of processes and VMs.
Java Web Programming on Google Cloud Platform [1/3] : Google App EngineIMC Institute
Google App Engine is a platform for hosting web applications in Google's data centers. It allows developers to build applications on scalable infrastructure without having to manage servers. Key features include automatic scaling, high availability, easy deployment, and built-in services like Datastore, Memcache and Task Queue. The development process involves using the App Engine SDK, which includes a local development server that emulates the live environment. Applications are deployed to App Engine by uploading the compiled code.
This document provides an overview of cloud computing and Java platforms as a service (PaaS). It discusses infrastructure as a service (IaaS) from providers like Amazon and how PaaS offerings like Google App Engine and CloudBees abstract away infrastructure management. It notes the advantages of PaaS for development flexibility and automatic scaling but also limitations from predefined programming models. Details are provided on Google App Engine's programming model, storage options, and services. In summary, the document compares IaaS and PaaS approaches for Java applications in the cloud.
Chaitanya Mehandru presented on cloud computing and Google Apps. The presentation introduced cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Google App Engine was discussed as an example of PaaS, allowing developers to build and host applications without managing infrastructure. Google Apps products for business such as Gmail, Calendar, and Docs were also presented. Student projects using Google technology were shared, including an app scheduler built on Google App Engine. The presentation concluded with information on certification paths and training resources for Google Apps.
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"
Google Cloud Computing for Java Developers: Platform and Monetization was a presentation given by Chris Schalk at TheEdge 2010 conference in Tel Aviv, Israel on December 16, 2010. The presentation introduced Google App Engine and other Google cloud technologies, discussed monetizing applications, and provided an overview of the Google Prediction API and BigQuery.
Google App Engine is a platform for building and hosting web applications in Google's cloud. It provides developers with services like the Datastore, Memcache, and URL Fetch and scales automatically based on traffic. The platform supports Java, Python, and other languages. Google App Engine is always free to get started for small usage levels and scales up as applications grow. It aims to reduce the maintenance burden for developers by handling tasks like code and traffic management.
Cloud computing allows users to run web applications on large providers' infrastructure instead of their own servers. Google App Engine is one such platform that is free up to a certain level of usage. It initially started with Python but now also supports Java. Users can deploy standard Java web applications (WAR files) on Google App Engine, which handles the infrastructure. This provides scalability and reliability without the costs associated with maintaining one's own servers.
Cloud computing allows users to run web applications on large providers' infrastructure instead of their own servers. Google App Engine is one such platform that is free up to a certain level of usage. It initially only supported Python but now also supports Java. Users can deploy standard Java web applications to Google App Engine, which will handle the infrastructure. This provides scalability without upfront costs.
This document provides an overview of Google Cloud Platform (GCP) services. It discusses computing services like App Engine and Compute Engine for hosting applications. It covers storage options like Cloud Storage, Cloud Datastore and Cloud SQL. It also mentions big data services like BigQuery and machine learning services like Prediction API. The document provides brief descriptions of each service and highlights their key features. It includes code samples for using Prediction API to train a model and make predictions on new data.
This document summarizes different cloud PaaS options for running Java applications. It discusses Google App Engine, Amazon Elastic Beanstalk, and VMware Cloud Foundry. For each option, it provides a brief overview of features like supported programming languages, scaling capabilities, and available services. It also notes that while PaaS platforms make development easier than IaaS, there are still limitations in flexibility and portability between platforms. The document concludes that there are tradeoffs to consider and it is worth exploring the different options.
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
The document provides an overview of Google App Engine, a platform that allows developers to build and host web applications without having to manage servers. It discusses the challenges of building scalable web applications, describes App Engine's features such as automatic scaling and integrated services, and covers how to develop, test, and deploy applications locally and on App Engine. It also reviews App Engine's programming languages, data storage, quotas, and billing model.
Cloud Computing from an Entrpreneur's ViewpointJ Singh
Cloud computing allows users to access computing resources like servers and storage over the internet. It provides on-demand self-service, ubiquitous network access, resource pooling and rapid elasticity. Companies can start small without large capital expenditures and scale easily. Major players in cloud computing include Amazon, Google, Microsoft and IBM. Amazon EC2 allows users to launch virtual machines while S3 provides storage services. Google App Engine uses a virtual operating system and datastore for applications. Cloud computing enables massive parallelism for data-intensive tasks.
Google Cloud Platform, Compute Engine, and App EngineCsaba Toth
Introduction to Google Cloud Platform's compute section, Google Compute Engine, Google App Engine. Place these technologies into the cloud service stack, and later show how Google blurs the boundaries of IaaS and PaaS.
Genuitec and Skyway Software slide show on essential development tools for Google platforms, frameworks and services. Android, Google App Engine, Google Web Toolkit. It's an IDE for the Google Cloud.
MuleSoft for AgentForce : Topic Center and API Catalogshyamraj55
This presentation dives into how MuleSoft empowers AgentForce with organized API discovery and streamlined integration using Topic Center and the API Catalog. Learn how these tools help structure APIs around business needs, improve reusability, and simplify collaboration across teams. Ideal for developers, architects, and business stakeholders looking to build a connected and scalable API ecosystem within AgentForce.
Interested in leveling up your JavaScript skills? Join us for our Introduction to TypeScript workshop.
Learn how TypeScript can improve your code with dynamic typing, better tooling, and cleaner architecture. Whether you're a beginner or have some experience with JavaScript, this session will give you a solid foundation in TypeScript and how to integrate it into your projects.
Workshop content:
- What is TypeScript?
- What is the problem with JavaScript?
- Why TypeScript is the solution
- Coding demo
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/why-its-critical-to-have-an-integrated-development-methodology-for-edge-ai-a-presentation-from-lattice-semiconductor/
Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit.
The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattice’s proven development methodology helps to mitigate the challenges and risks associated with edge model deployment.
In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattice’s simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.
Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...Safe Software
Jacobs has developed a 3D utility solids modelling workflow to improve the integration of utility data into 3D Building Information Modeling (BIM) environments. This workflow, a collaborative effort between the New Zealand Geospatial Team and the Australian Data Capture Team, employs FME to convert 2D utility data into detailed 3D representations, supporting enhanced spatial analysis and clash detection.
To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses.
The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency.
This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projects
This OrionX's 14th semi-annual report on the state of the cryptocurrency mining market. The report focuses on Proof-of-Work cryptocurrencies since those use substantial supercomputer power to mint new coins and encode transactions on their blockchains. Only two make the cut this time, Bitcoin with $18 billion of annual economic value produced and Dogecoin with $1 billion. Bitcoin has now reached the Zettascale with typical hash rates of 0.9 Zettahashes per second. Bitcoin is powered by the world's largest decentralized supercomputer in a continuous winner take all lottery incentive network.
Russia is one of the most aggressive nations when it comes to state coordinated cyberattacks — and Ukraine has been at the center of their crosshairs for 3 years. This report, provided the State Service of Special Communications and Information Protection of Ukraine contains an incredible amount of cybersecurity insights, showcasing the coordinated aggressive cyberwarfare campaigns of Russia against Ukraine.
It brings to the forefront that understanding your adversary, especially an aggressive nation state, is important for cyber defense. Knowing their motivations, capabilities, and tactics becomes an advantage when allocating resources for maximum impact.
Intelligence shows Russia is on a cyber rampage, leveraging FSB, SVR, and GRU resources to professionally target Ukraine’s critical infrastructures, military, and international diplomacy support efforts.
The number of total incidents against Ukraine, originating from Russia, has steadily increased from 1350 in 2021 to 4315 in 2024, but the number of actual critical incidents has been managed down from a high of 1048 in 2022 to a mere 59 in 2024 — showcasing how the rapid detection and response to cyberattacks has been impacted by Ukraine’s improved cyber resilience.
Even against a much larger adversary, Ukraine is showcasing outstanding cybersecurity, enabled by strong strategies and sound tactics. There are lessons to learn for any enterprise that could potentially be targeted by aggressive nation states.
Definitely worth the read!
Down the Rabbit Hole – Solving 5 Training RoadblocksRustici Software
Feeling stuck in the Matrix of your training technologies? You’re not alone. Managing your training catalog, wrangling LMSs and delivering content across different tools and audiences can feel like dodging digital bullets. At some point, you hit a fork in the road: Keep patching things up as issues pop up… or follow the rabbit hole to the root of the problems.
Good news, we’ve already been down that rabbit hole. Peter Overton and Cameron Gray of Rustici Software are here to share what we found. In this webinar, we’ll break down 5 training roadblocks in delivery and management and show you how they’re easier to fix than you might think.
ENERGY CONSUMPTION CALCULATION IN ENERGY-EFFICIENT AIR CONDITIONER.pdfMuhammad Rizwan Akram
DC Inverter Air Conditioners are revolutionizing the cooling industry by delivering affordable,
energy-efficient, and environmentally sustainable climate control solutions. Unlike conventional
fixed-speed air conditioners, DC inverter systems operate with variable-speed compressors that
modulate cooling output based on demand, significantly reducing energy consumption and
extending the lifespan of the appliance.
These systems are critical in reducing electricity usage, lowering greenhouse gas emissions, and
promoting eco-friendly technologies in residential and commercial sectors. With advancements in
compressor control, refrigerant efficiency, and smart energy management, DC inverter air conditioners
have become a benchmark in sustainable climate control solutions
Floods in Valencia: Two FME-Powered Stories of Data ResilienceSafe Software
In October 2024, the Spanish region of Valencia faced severe flooding that underscored the critical need for accessible and actionable data. This presentation will explore two innovative use cases where FME facilitated data integration and availability during the crisis. The first case demonstrates how FME was used to process and convert satellite imagery and other geospatial data into formats tailored for rapid analysis by emergency teams. The second case delves into making human mobility data—collected from mobile phone signals—accessible as source-destination matrices, offering key insights into population movements during and after the flooding. These stories highlight how FME's powerful capabilities can bridge the gap between raw data and decision-making, fostering resilience and preparedness in the face of natural disasters. Attendees will gain practical insights into how FME can support crisis management and urban planning in a changing climate.
PyData - Graph Theory for Multi-Agent Integrationbarqawicloud
Graph theory is a well-known concept for algorithms and can be used to orchestrate the building of multi-model pipelines. By translating tasks and dependencies into a Directed Acyclic Graph, we can orchestrate diverse AI models, including NLP, vision, and recommendation capabilities. This tutorial provides a step-by-step approach to designing graph-based AI model pipelines, focusing on clinical use cases from the field.
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Wondershare Filmora Crack is a user-friendly video editing software designed for both beginners and experienced users.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
מכונת קנטים המתאימה לנגריות קטנות או גדולות (כמכונת גיבוי).
מדביקה קנטים מגליל או פסים, עד עובי קנט – 3 מ"מ ועובי חומר עד 40 מ"מ. בקר ממוחשב המתריע על תקלות, ומנועים מאסיביים תעשייתיים כמו במכונות הגדולות.
מכונות CNC קידוח אנכיות הן הבחירה הנכונה והטובה ביותר לקידוח ארונות וארגזים לייצור רהיטים. החלק נוסע לאורך ציר ה-x באמצעות ציר דיגיטלי מדויק, ותפוס ע"י צבת מכנית, כך שאין צורך לבצע setup (התאמות) לגדלים שונים של חלקים.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/from-enterprise-to-makers-driving-vision-ai-innovation-at-the-extreme-edge-a-presentation-from-sony-semiconductor-solutions/
Amir Servi, Edge Deep Learning Product Manager at Sony Semiconductor Solutions, presents the “From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge” tutorial at the May 2025 Embedded Vision Summit.
Sony’s unique integrated sensor-processor technology is enabling ultra-efficient intelligence directly at the image source, transforming vision AI for enterprises and developers alike. In this presentation, Servi showcases how the AITRIOS platform simplifies vision AI for enterprises with tools for large-scale deployments and model management.
Servi also highlights his company’s collaboration with Ultralytics and Raspberry Pi, which brings YOLO models to the developer community, empowering grassroots innovation. Whether you’re scaling vision AI for industry or experimenting with cutting-edge tools, this presentation will demonstrate how Sony is accelerating high-performance, energy-efficient vision AI for all.
2. Objectives
What is Cloud Computing?
What is Google App Engine?
Google App Engine for Java
Google App Engine Development cycle
Heroku Introduction
2
4. Cloud Computing : Definition
(Wikipedia)
Cloud Computing is Internet-based computing,
whereby shared resources, software, and information
are provided to computers and other devices on
demand, like the electricity grid.
4
5. Cloud Computing Characteristics
Massive, abstracted infrastructure
Dynamic allocation, scaling, movement of
applications
Pay per use
No long-term commitments
OS, application architecture independent
No hardware or software to install
5
7. Web 2.0 & Cloud Computing
Web 2.0 concentrates on the private user and clouds
are decscendents of data centers which services the
enterprise.
Web 2.0 promotes SaaS.
Web 2.0 needs massive scaling technologies.
User centric Web 2.0 companies (Twitter,
Slideshare) are relying on Cloud Services.
7
9. Software as a Service (SaaS)
SaaS is at the highest layer and features a
complete application offered as a service, on-
demand,
via multitenancy — meaning a single instance of
the software runs on the provider’s infrastructure
and serves multiple client organizations.
9
10. Platform as a Service (PaaS)
The middle layer, or PaaS, is the encapsulation of
a development environment abstraction and the
packaging of a payload of services
PaaS offerings can provide for every phase of
software development and testing, or they can be
specialized around a particular area, such as
content management
10
11. Infrastructure as a Service (IaaS)
IaaS is at the lowest layer and is a means of
delivering basic storage and compute capabilities
as standardized services over the network.
Servers, storage systems, switches,routers, and
other systems are pooled (through virtualization
technology, for example) to handle specific types
of workloads — from batch processing to
server/storage augmentation during peak loads.
11
13. Deployment Model
Public Cloud: provider refers to the cloud
platform that targets any types of customers.
Private Cloud: infrastructure that’s hosted
internally, targeting specific customers or
sometimes exclusively within an organization.
Hybrid Cloud: the combination of public and
private clouds, or sometimes on-premise services.
13
14. IaaS & PaaS: Developer's Perspectives
IaaS normally provides up to O/S level as your
choice; for example Amazon Web Services
(AWS) offers several types of Operating Systems
such as Windows Server, Linux SUSE, and Linux
Red Hat. Developer need to install own
middleware, database, etc.
PaaS, given that the database server, VM, and
web server VM are readily provisioned,
14
15. Setting Up App in IaaS
Source:http://acloudyplace.com/2012/01/comparing-iaas-and-paas-a-developers-perspective/ 15
16. Setting Up App in PaaS
Source:http://acloudyplace.com/2012/01/comparing-iaas-and-paas-a-developers-perspective/ 16
17. PaaS for Java
Amazon Elastic Beanstalk
CloudBees
Cloud Foundry
Google App Engine
Heroku for Java
Red Hat OpenShift
17
21. Google App Engine : Definition
(Wikipedia)
It is a platform for hosting web applications in Google-
managed data centers. It is cloud computing
technology which virtualizes applications across
multiple servers and data centers.
21
22. Google App Engine
Running your web application in Google
infrastructure
Support different runtime environments
Java (JRE 6 with limitation, Servlet 2.5, JDO,
JPA)
Python (2.5.2)
Apps run in sandbox.
Automatic scaling and load balancing
No server restart, no network issues
22
23. Hosting Java web apps traditionally
Not so popular except enterprise
High rates as compared to PHP hosting
Shared Tomcat instance among users
Restrictions on any time deployments due to
shared server
Dedicated hosts works fine but they are costly
23
36. GAE/J
Was released on April 08 with Python support.
Java included on August 09
36
37. App Engine for Java : One Year
Source: What’s Hot in Java for App Engine Google Con 2010 37
38. GAE Java Runtime Environment
Java 6 VM
Servlet 2.5 Container
HTTP Session support (need to enable explicitly)
JDO/JPA for Datastore API
JSR 107 for Memcache API
javax.mail for Mail API
javax.net.URLConnection for URLFetch API
38
40. Services by App Engine
Memcache API – high performance in-memory
key-value cache
Datastore – database storage and operations
URLFetch – invoking external URLs
Mail – sending mail from your application
Task Queues – for invoking background processes
Images – for image manipulation
Cron Jobs – scheduled tasks on defined time
User Accounts – using Google accounts for
authentication
40
41. Limitations
Programming Model : Application runs in
sandbox and can not
– Write to file system
– Make arbitrary network connections
– Use multiple threads/processes
– Perform long-lasting processing
– Permissions
– Know about other instances/applications
Quotas (Requests, In/Out bandwidth, CPU time,
API calls)
41
43. GAE Datastore
Storing data and manipulation
Based on Bigtable
Bigtable is proprietary and hidden from the app
developers
Not a relational database (No SQL)
GQL (Google Query Language) to query
Stores data as entities
Distribution, replication, load balancing behind
the scene
Need to use JDO/JPA
43
44. User Service : Google Accounts
Google Accounts are encouraged as the preferred
authentication mechanism for App Engine
– It assumes that all users have a Google Account
– Google authentication for private domains isn’t
available yet
Access to Google account data -> email, id
The Development Server simulates Google
Accounts
Access constraints based on roles
44
45. User API : Example
import com.google.appengine.api.users.*;
import com.google.appengine.api.users.*;
UserService userService == UserServiceFactory.getUserService();
UserService userService UserServiceFactory.getUserService();
User user == userService.getCurrentUser();
User user userService.getCurrentUser();
String navBar;
String navBar;
if (user == null) {{
if (user == null)
navBar == "<p>Welcome! <a href="" ++ userService.createLoginURL("/")
navBar "<p>Welcome! <a href="" userService.createLoginURL("/")
+"">Sign in or register</a> to customize.</p>";
+"">Sign in or register</a> to customize.</p>";
}} else {{
else
navBar == "<p>Welcome, "" ++ user.getEmail() ++ "! You can <a href=""
navBar "<p>Welcome, user.getEmail() "! You can <a href=""
+userService.createLogoutURL("/") +"">sign out</a>.</p>";
+userService.createLogoutURL("/") +"">sign out</a>.</p>";
}}
45
46. URLFetch API
Invoking external URLs from your application
over HTTP and HTTPs
import java.net.*;
import java.net.*;
import java.io.*;
import java.io.*;
URL url == new URL("htp://...");
URL url new URL("htp://...");
InputStream inp == new InputStreamReader(url.openStream());
InputStream inp new InputStreamReader(url.openStream());
BufferedReader reader == new BufferedReader(inp);
BufferedReader reader new BufferedReader(inp);
String line;
String line;
while ((line == reader.readLine()) != null) {{
while ((line reader.readLine()) != null)
//do something
//do something
}}
reader.close();
reader.close();
46
47. Mail API
Send emails on the behalf of app administrator to
the Google account use.
You can not receive emails
import javax.mail.*;
import javax.mail.*;
Session session == Session.getDefaultInstance(new Properties(), null);
Session session Session.getDefaultInstance(new Properties(), null);
InternetAddress admins == new InternetAddress("admins");
InternetAddress admins new InternetAddress("admins");
Message msg == new MimeMessage(session);
Message msg new MimeMessage(session);
msg.setFrom(admins);
msg.setFrom(admins);
msg.addRecipient(Message.RecipientType.TO, admins);
msg.addRecipient(Message.RecipientType.TO, admins);
msg.setSubject("subject");
msg.setSubject("subject");
msg.setText("text");
msg.setText("text");
Transport.send(msg);
Transport.send(msg);
47
48. Memcache Service
Distributed in memory cache, better than
DataStore
Key-value pair mapping
Configurable expiration time but
Unreliable might be vanished at any time
Supported Interfaces :
– JACHE (JSR 107: JCACHE – Java Temporary
Caching API)
– The Low-Level Memcache API
48
50. Task Queues API
Perform background processes by inserting tasks into
queues.
Instructions need to be mention in file queue.xml, in
the WEB-INF/ dir
import com.google.appengine.api.labs.taskqueue.Queue;
import com.google.appengine.api.labs.taskqueue.Queue;
import com.google.appengine.api.labs.taskqueue.QueueFactory;
import com.google.appengine.api.labs.taskqueue.QueueFactory;
import com.google.appengine.api.labs.taskqueue.TaskOptions;
import com.google.appengine.api.labs.taskqueue.TaskOptions;
// ...
// ...
TaskOptions taskOptions ==
TaskOptions taskOptions
TaskOptions.Builder.url("/send_invitation_task")
TaskOptions.Builder.url("/send_invitation_task")
.param("address", "[email protected]")
.param("address", "[email protected]")
.param("firstname", "Juliet");
.param("firstname", "Juliet");
Queue queue == QueueFactory.getDefaultQueue();
Queue queue QueueFactory.getDefaultQueue();
queue.add(taskOptions);
queue.add(taskOptions); 50
51. Cron Jobs
Up to 20 scheduled tasks per app
Cron jobs (scheduled tasks) supported in cron.xml
in WEB-INF dir
Schedule instructions contain Englis-like format
<?xml version="1.0" encoding="UTF-8"?>
<?xml version="1.0" encoding="UTF-8"?>
<cronentries>
<cronentries>
<cron>
<cron>
<url>/listbooks</url>
<url>/listbooks</url>
<description>Repopulate the cache every day at
<description>Repopulate the cache every day at
5am</description>
5am</description>
<schedule>every day 05:00</schedule>
<schedule>every day 05:00</schedule>
</cron>
</cron>
</cronentries>
</cronentries>
51
52. Images API
Manipulation of images
Transformation of images
Changing image formats
52
55. Getting Started
The application owner must have a Google
Account to get the tools regardless of language.
Use Java 6 for development.
Eclipse and Netbeans have official plugins.
Both SDKs ship with a Development Web Server
that runs locally and provides a sandbox almost
identical to the real run-time.
55
56. Software Development Kit
App Engine SDK
– Includes web server (Jetty)
– Emulates all the GAE services
SDK includes an upload tool to deploy app to
GAE
Command line tools included.
56
62. Deployment Environment
Application is deployed as .war which contains.
Deployment is integrated in IDE
Deploy multiple version of the application at the
same time
Your app lives at
– <app_id>.appspot.com or
– Custom domain with Google Apps
62
63. Running your app on Google
http://<version>.<appid>.appspot.com/some/path
63
71. Resources
Google App Engine at a glance, Stefan Christoph
Developing Java Based Web Applications in
Google App Engine, Tahir Akram, Dec. 2009
Google App Engine, Patrick Chanezon, Mar 2010
71