The document provides an overview of Google App Engine, a cloud hosting and storage environment. It describes a 4-day introductory class on GAE using Java that will be offered at DevelopMentor. It also announces a new user group for GAE developers that will have its first monthly meeting in March at DevelopMentor in LA. The document then goes into details about setting up Eclipse for GAE development, creating a "Hello World" application, various data storage options on GAE including the default noSQL Datastore and optional mySQL, and examples of using the Datastore.
This presentation gives an overview of the Apache Gobblin project. It explains Apache Gobblin in terms of it's architecture, data sources/sinks and it's work unit processing.
Links for further information and connecting
http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/
https://nz.linkedin.com/pub/mike-frampton/20/630/385
https://open-source-systems.blogspot.com/
(ATS6-DEV01) What’s new for Protocol and Component Developers in AEP 9.0BIOVIA
This will focus on new features that are now available to protocol and component developers in the new version of AEP. This will include discussions of improvements to hierarchical data records and XML reading and writing, new parameter subprotocol promotion behavior, new component icons, parameter metadata, easier to access Job Pooling settings, Pilotscript updates, Hashmap improvements, Unicode reading improvements, and other improvements to protocol development.
Minimalist Theming: How to Build a Lean, Mean Drupal 8 ThemeSuzanne Dergacheva
Back in the Drupal 7 days (aka last year), we came across some pretty large, hard-to-maintain Drupal 7 sites. The theme was often responsible for a lot of the cruft. We saw themes with excess code, too many template files, and not enough documentation.
The Drupal 8 theme layer provides new features like libraries and Twig blocks that can help us to build cleaner, better-organized themes. So now is a good time for themers to re-visit which theming techniques to use to create themes that are smaller, maintainable, and well organized.
Meetup developing building and_deploying databases with SSDTSolidify
Från Swedish Microsoft ALM DevOps Meetup 3, https://www.meetup.com/swedish-ms-alm-devops/events/236531424/
På denna träff kommer vi gräva oss ned i build & deployment och inleder med en presentation om hur man kan hantera databasuppdateringar som en del av deploymentflödet.
This presentation gives an overview of the Apache Gobblin project. It explains Apache Gobblin in terms of it's architecture, data sources/sinks and it's work unit processing.
Links for further information and connecting
http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/
https://nz.linkedin.com/pub/mike-frampton/20/630/385
https://open-source-systems.blogspot.com/
(ATS6-DEV01) What’s new for Protocol and Component Developers in AEP 9.0BIOVIA
This will focus on new features that are now available to protocol and component developers in the new version of AEP. This will include discussions of improvements to hierarchical data records and XML reading and writing, new parameter subprotocol promotion behavior, new component icons, parameter metadata, easier to access Job Pooling settings, Pilotscript updates, Hashmap improvements, Unicode reading improvements, and other improvements to protocol development.
Minimalist Theming: How to Build a Lean, Mean Drupal 8 ThemeSuzanne Dergacheva
Back in the Drupal 7 days (aka last year), we came across some pretty large, hard-to-maintain Drupal 7 sites. The theme was often responsible for a lot of the cruft. We saw themes with excess code, too many template files, and not enough documentation.
The Drupal 8 theme layer provides new features like libraries and Twig blocks that can help us to build cleaner, better-organized themes. So now is a good time for themers to re-visit which theming techniques to use to create themes that are smaller, maintainable, and well organized.
Meetup developing building and_deploying databases with SSDTSolidify
Från Swedish Microsoft ALM DevOps Meetup 3, https://www.meetup.com/swedish-ms-alm-devops/events/236531424/
På denna träff kommer vi gräva oss ned i build & deployment och inleder med en presentation om hur man kan hantera databasuppdateringar som en del av deploymentflödet.
Designing the Call of Cthulhu app with Google App EngineChris Bunch
These are slides from a talk I gave at UCSB to the Senior Capstone class on 02/10/10 on how I developed the Call of Cthulhu application using Google App Engine.
Rapid Application Development on Google App Engine for JavaKunal Dabir
When you need to build and host web application as soon as possible with no cost involved and want no nonsense stuff to come in between, glide can come handy.
Patrick Chanezon and Guillaume Laforge are presenting Google App Engine Java and Gaelyk, the lightweight groovy toolkit on top of the GAE SDK, at the Devoxx conference
GraphQL is query language for APIs, but what are the advantages and how would one implement such in their microservices/APIs. In this session, I will go through the basics of GraphQL, different aspects of GraphQL and architecture of such APIs. There will be a demo/live-coding on, how 3 different ways we can implement GraphQL for a Springboot microservice/API. Lots of examples, live coding and helpful comparison on structure, usage and implementations of GraphQL in Springboot & Java world.
Powerful Google developer tools for immediate impact! (2023-24 A)wesley chun
This is one of two 45-60-min presentations to students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring you as to what's possible. The session introduces Google's machine learning & other APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started! The main takeaways are where to run your code, store your data, and analyze your data, all in the cloud!
The other version of this talk ("B") focuses more on serverless platforms.
Drupal 8 Lessons From the Field: Part 3 - The Drupal BackendAcquia
Coming back to our discussion on fast internet, we have so far covered how to optimize a developer’s journey and enhancing frontend website delivery.
In our next session, we shall look into a very core part of the Drupal ecosystem - the Drupal backend. These are the components that create, update and get the content that you show to your end users. It controls user permissions, what content to show on which page, and uses modules like views to get more content to show as a list or a slideshow. It powers the search features, menu system, every page structure and more. The more work you give it, heavier is the load on it. And that makes it slow.
So why don’t we help our Drupal backend system, to ease the load, speed up what it is looking for, cache a few frequent tasks its performs and give it a nice booster! Why? If the backend system fails, it will timeout and not render any output for the requests that come in. Each request will be put in a long and slow queue to get a response. Only when we get an initial response to the browser or an API call, can the rest of the page rendering begin.
To learn how to alleviate these problems, join our tech talk to learn about:
Drupal Architecture - module selection, content structure, page structure
Content displays
Content reuse
Views, Blocks, Panels
Caching data - memcache
Caching code - APC
MySQL tuning - Check Slow queries
XHProf - Check any heavy PHP code
Contrib v/s Custom
Dynamic page cache
Disable non-Prod modules
Database Logs - switch it to syslog
Acquia Insight Tool
API first & Decoupled Drupal
Database Migrations with Gradle and LiquibaseDan Stine
Database migration scripts are a notorious source of difficulty in the software delivery process. This session will discuss how we neutralized this all too common headache.
Now our deployment framework executes database migrations automatically with every application deploy, and the QA team performs self-service full stack deployments in test environments. The resulting additional bandwidth has been invested in more frequent software releases, and the opportunity to focus on higher-value tasks.
Beans and Java! We hear those buzz words all the time, but our XPages applications seem to work fine with Server Side JavaScript. Why should we use Java and managed beans? Come learn about one long-time Notes developer's journey using a Java Managed Bean and why. Discover how a Bean allowed the data to be cached in memory allowing for quick access to user-selected data subsets. Learn how different Java collections like HashMaps, ArrayLists and TreeSets can be used to build in-memory objects of your data. See how using a Managed Bean can simplify and greatly speed up your XPage! A comparison will be made of the performance savings before and after the implementation of the Managed Bean. Come get gently led down the path to the pot of Java waiting at the end of the rainbow!
Click here to download the sample application used in the webinar: http://www.tlcc.com/admin/tlccsite.nsf/pages/feb-java-webinar?opendocument
JavaScript and jQuery for SharePoint DevelopersRob Windsor
If you’re a SharePoint developer you either are doing JavaScript development now or you will be doing JavaScript development in the near future. There has been an increased focus on client-side development with each of the recent versions of SharePoint and now, with the introduction of the SharePoint 2013 App model, understanding client-side development is a must. In this session, we`ll look at JavaScript development from a SharePoint perspective. In addition to effective use of JavaScript and jQuery in your applications, we`ll look where you can deploy JavaScript files and how to reference those files in your pages and web parts.
Designing the Call of Cthulhu app with Google App EngineChris Bunch
These are slides from a talk I gave at UCSB to the Senior Capstone class on 02/10/10 on how I developed the Call of Cthulhu application using Google App Engine.
Rapid Application Development on Google App Engine for JavaKunal Dabir
When you need to build and host web application as soon as possible with no cost involved and want no nonsense stuff to come in between, glide can come handy.
Patrick Chanezon and Guillaume Laforge are presenting Google App Engine Java and Gaelyk, the lightweight groovy toolkit on top of the GAE SDK, at the Devoxx conference
GraphQL is query language for APIs, but what are the advantages and how would one implement such in their microservices/APIs. In this session, I will go through the basics of GraphQL, different aspects of GraphQL and architecture of such APIs. There will be a demo/live-coding on, how 3 different ways we can implement GraphQL for a Springboot microservice/API. Lots of examples, live coding and helpful comparison on structure, usage and implementations of GraphQL in Springboot & Java world.
Powerful Google developer tools for immediate impact! (2023-24 A)wesley chun
This is one of two 45-60-min presentations to students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring you as to what's possible. The session introduces Google's machine learning & other APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started! The main takeaways are where to run your code, store your data, and analyze your data, all in the cloud!
The other version of this talk ("B") focuses more on serverless platforms.
Drupal 8 Lessons From the Field: Part 3 - The Drupal BackendAcquia
Coming back to our discussion on fast internet, we have so far covered how to optimize a developer’s journey and enhancing frontend website delivery.
In our next session, we shall look into a very core part of the Drupal ecosystem - the Drupal backend. These are the components that create, update and get the content that you show to your end users. It controls user permissions, what content to show on which page, and uses modules like views to get more content to show as a list or a slideshow. It powers the search features, menu system, every page structure and more. The more work you give it, heavier is the load on it. And that makes it slow.
So why don’t we help our Drupal backend system, to ease the load, speed up what it is looking for, cache a few frequent tasks its performs and give it a nice booster! Why? If the backend system fails, it will timeout and not render any output for the requests that come in. Each request will be put in a long and slow queue to get a response. Only when we get an initial response to the browser or an API call, can the rest of the page rendering begin.
To learn how to alleviate these problems, join our tech talk to learn about:
Drupal Architecture - module selection, content structure, page structure
Content displays
Content reuse
Views, Blocks, Panels
Caching data - memcache
Caching code - APC
MySQL tuning - Check Slow queries
XHProf - Check any heavy PHP code
Contrib v/s Custom
Dynamic page cache
Disable non-Prod modules
Database Logs - switch it to syslog
Acquia Insight Tool
API first & Decoupled Drupal
Database Migrations with Gradle and LiquibaseDan Stine
Database migration scripts are a notorious source of difficulty in the software delivery process. This session will discuss how we neutralized this all too common headache.
Now our deployment framework executes database migrations automatically with every application deploy, and the QA team performs self-service full stack deployments in test environments. The resulting additional bandwidth has been invested in more frequent software releases, and the opportunity to focus on higher-value tasks.
Beans and Java! We hear those buzz words all the time, but our XPages applications seem to work fine with Server Side JavaScript. Why should we use Java and managed beans? Come learn about one long-time Notes developer's journey using a Java Managed Bean and why. Discover how a Bean allowed the data to be cached in memory allowing for quick access to user-selected data subsets. Learn how different Java collections like HashMaps, ArrayLists and TreeSets can be used to build in-memory objects of your data. See how using a Managed Bean can simplify and greatly speed up your XPage! A comparison will be made of the performance savings before and after the implementation of the Managed Bean. Come get gently led down the path to the pot of Java waiting at the end of the rainbow!
Click here to download the sample application used in the webinar: http://www.tlcc.com/admin/tlccsite.nsf/pages/feb-java-webinar?opendocument
JavaScript and jQuery for SharePoint DevelopersRob Windsor
If you’re a SharePoint developer you either are doing JavaScript development now or you will be doing JavaScript development in the near future. There has been an increased focus on client-side development with each of the recent versions of SharePoint and now, with the introduction of the SharePoint 2013 App model, understanding client-side development is a must. In this session, we`ll look at JavaScript development from a SharePoint perspective. In addition to effective use of JavaScript and jQuery in your applications, we`ll look where you can deploy JavaScript files and how to reference those files in your pages and web parts.
Gerrit + Jenkins = Continuous Delivery For Big DataStefano Galarraga
BigData is now everywhere, from mobile media analytics, banking, industry, avionics and even in medicine to monitor expansion of epidemics.
We are showing how Code Review can be integrated with Continuous Integration and Continuous Delivery in a Big Data scenario that poses new challenges to the existing Jenkins framework. We are going to describe how we managed to implement our agile build and deployment process working with distributed teams in BigData Software Development Projects for media and financial organizations in London. The talk will start with a presentation of our workflow and then will explain how we leveraged Gerrit and Jenkins and how we integrated with Docker, Mesos and the Hadoop ecosystem.
Gradle is an open-source build automation tool focused on flexibility, build reproducibility and performance. Over the years, this tool has evolved and introduced new concepts and features around dependency management, publication and other aspects on build and release of artifacts for the Java platform.
Keeping up to date with all these features across several projects can be challenging. How do you make sure that all your projects can be upgraded to the latest version of Gradle? What if you have thousands of projects and hundreds of engineers? How can you abstract common tasks for them and make sure that new releases work as expected?
At Netflix, we built Nebula, a collection of Gradle plugins that helps engineers remove boilerplate in Gradle build files, and makes building software the Netflix way easy. This reduces the cognitive load on developers, allowing them to focus on writing code.
In this talk, I’ll share with you our philosophy on how to build JVM artifacts and the pieces that help us boost the productivity of engineers at Netflix. I’ll talk about:
- What is Nebula
- What are the common problems we face and try to solve
- How we distribute it to every JVM engineer
- How we ensure that Nebula/Gradle changes do not break builds so we can ship new features with confidence at Netflix
deck from talk at YOW Data in Sydney, covers VariantSpark, custom Apache Spark Machine Learning library and also GT-Scan2 using AWS Lambda architecture for bioinformatics
VariantSpark - a Spark library for genomicsLynn Langit
VariantSpark a customer Apache Spark library for genomic data. Customer wide random forest machine learning algorithm, designed for workloads with millions of features.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
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.
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.
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
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
2. New Course Preview – Google App Engine for Developers
• 4 day class ‘Intro to GAE’
• Course in Java
• www.Develop.com
• On Site or at DevelopMentor
• New Developer User Group for GAE
• first meeting at DevelopMentor in LA
• Monthly – first meeting March 20
@LynnLangit
www.lynnlangit.com
www.TeachingKidsProgramming.org
3. Full Course Objectives
• Understanding GAE
– Setup for development with GAE
– Creating first simple site with IDE templates
– Simple deployment
• Understanding Google’s Cloud Storage Options
– Non-relational, relational and more…
• Using Google Cloud Storage
• Using Google Relational Cloud Storage
• Using Authentication
• Understanding other APIs
• Deploying
• Next Steps
4. What is Google App Engine? Why use it?
• What
– Google’s cloud hosting and storage environment
– Java or Python are supported
– NoSQL (High-Replication Datastore) and/or mySQL supported
• Why
– Easy and free to try it out
– Interesting feature set
• Automatic compute scaling
• Flexibility on data storage / queries
• Authentication choices
• Access to other Google APIs
15. Two types of Datastores I – About High-Replication
• Data is replicated across multiple data centers
– using a system based on the Paxos algorithm
– in synch, multi-master
• Provides the highest level of availability for reads
and writes (99.999% SLA)
– at the cost of higher latency on writes due to the propagation of
data (2x slower on write than other datastore type [master/slave])
– Results in most queries being eventually consistent*
• Reads from ‘fastest source’ (usually local)
• Reads are transactional
16. Two types of Datastores II – About Master/Slave
• Data written to a single master data center is replicated
async to all other (slave) data centers
• Offers strong consistency for all reads and queries
• Results in periods of temporary unavailability during data
center issues or planned downtime (99.9% SLA)
• Reads from master only
18. Configure your GAE Application for Data Storage
• Configure the data storage in Eclipse
– HR Datastore (default) -- noSQL
• JDO/JPA (optional)
• JDBC/nHibernate not supported
– Cloud mySQL (optional) -- RDBMS
• Use local mySQL instance for testing
– Can also use Developer Storage -- buckets
25. New Course Preview – Google App Engine for Developers
• 4 day class ‘Intro to GAE’
• Course in Java
• www.Develop.com
• On Site or at DevelopMentor
• New Developer User Group for GAE
• first meeting at DevelopMentor in LA
• Monthly – first meeting March 20
@LynnLangit
www.lynnlangit.com
www.TeachingKidsProgramming.org
Editor's Notes
https://code.google.com/appengine/
Course outline for GAE - http://www.develop.com/training-course/google-app-engine-training
Good list of which APIs are implemented on which languages, Python or Java or bothhttp://code.google.com/appengine/tools_tips.htmlAnd more at---https://code.google.com/apis
https://code.google.com/appengine/SDK for Eclipse - https://code.google.com/appengine/downloads.html#Google_App_Engine_SDK_for_JavaPlug-in for Eclipse - https://code.google.com/eclipse/docs/getting_started.htmlTutorial - http://googcloudlabs.appspot.com/whatgae.html
https://code.google.com/apisGWT - http://code.google.com/webtoolkit/The GWT SDK provides a set of core Java APIs and Widgets. These allow you to write AJAX applications in Java and then compile the source to highly optimized JavaScript that runs across all browsers, including mobile browsers for Android and the iPhone.
From the GAE documentation - https://code.google.com/appengine/docs/whatisgoogleappengine.htmlThe DatastoreApp Engine provides a distributed data storage service that features a query engine and transactions. Just as the distributed web server grows with your traffic, the distributed datastore grows with your data. You have the choice between two different data storage options differentiated by their availability and consistency guarantees. The App Engine datastore is not like a traditional relational database. Data objects, or "entities," have a kind and a set of properties. Queries can retrieve entities of a given kind filtered and sorted by the values of the properties. Property values can be of any of the supported property value types.Datastore entities are "schemaless." The structure of data entities is provided by and enforced by your application code. The Java JDO/JPA interfaces and the Python datastore interface include features for applying and enforcing structure within your app. Your app can also access the datastore directly to apply as much or as little structure as it needs.The datastore is strongly consistent and uses optimistic concurrency control. An update of a entity occurs in a transaction that is retried a fixed number of times if other processes are trying to update the same entity simultaneously. Your application can execute multiple datastore operations in a single transaction which either all succeed or all fail, ensuring the integrity of your data.The datastore implements transactions across its distributed network using "entity groups." A transaction manipulates entities within a single group. Entities of the same group are stored together for efficient execution of transactions. Your application can assign entities to groups when the entities are created.
Google IO video comparing - http://www.google.com/events/io/2011/sessions/more-9s-please-under-the-covers-of-the-high-replication-datastore.htmlPaxos algorithm - http://en.wikipedia.org/wiki/Paxos_algorithm*for non-ancestor entity group queries (with unknown entity group)About the HR datastore for Java developers - http://code.google.com/appengine/docs/java/datastore/overview.html
Google IO video comparing - http://www.google.com/events/io/2011/sessions/more-9s-please-under-the-covers-of-the-high-replication-datastore.htmlPaxos algorithm - http://en.wikipedia.org/wiki/Paxos_algorithm*for non-ancestor entity group queries (with unknown entity group)About the HR datastore for Java developers - http://code.google.com/appengine/docs/java/datastore/overview.html
http://appengine.google.com
http://code.google.com/appengine/articles/storage_breakdown.htmlAnd Ikai’s blog - http://ikaisays.com/