Our team worked together on a load balancing and auto-scaling project with the help of Amazon’s web services. The main goal of the project was to help balance server load by redistributing a computer’s workload between two or more machines. The auto-scaling feature integrated with the project has been used to help increase or decrease the number of instances on the server dynamically based on the traffic received.
Description
Visualforce is a powerful web-based framework that lets you quickly develop sophisticated, custom UIs for Force.com desktop and mobile apps. Using native Visualforce markup and standard Web development technologies like HTML5, CSS, JavaScript, and jQuery, you can rapidly build rich UIs for any app.
In this webinar, we will go beyond the basics of Visualforce, and show you how to make your pages lean and fast, to provide you users with an awesome experience, resulting in high adoption rates. We will also focus on best practices and tips to help you improve page efficiency.
In addition to the above, we will also show you how to build custom components, ones that can be reused across several Visualforce pages and applications.
Key Takeaways
::Get thorough knowledge about Viewstate, JavaScript Remoting, Asynchronous Apex and Streaming API.
::Get up to speed with Visualforce components, and see examples of advanced custom Visualforce components in action.
::Discover how to use strongly typed attributes to parameterize component.
::Learn how to incorporate presentation, data and logic.
Intended Audience
This session is tailored for experienced developers who are already familiar with the Visualforce framework.
Recommended Resources
https://developer.salesforce.com/events/webinars/advanced_visualforce_salesforce1
Force.com is the world's leading cloud platform that lets you build apps rapidly using configuration-driven development and powerful programmatic logic. With Force.com, you can design mobile, social, and real-time apps in the cloud five times faster than with traditional software development approaches.
Watch this webinar to learn about:
:: how Force.com streamlines app development life cycles
:: how Force.com's open architecture facilitates integration with other systems
:: the basics you need to get started building your first app in the cloud
Watch the recording on YouTube:
http://youtu.be/ee1ncea0eeE
Our team worked together on a load balancing and auto-scaling project with the help of Amazon’s web services. The main goal of the project was to help balance server load by redistributing a computer’s workload between two or more machines. The auto-scaling feature integrated with the project has been used to help increase or decrease the number of instances on the server dynamically based on the traffic received.
Description
Visualforce is a powerful web-based framework that lets you quickly develop sophisticated, custom UIs for Force.com desktop and mobile apps. Using native Visualforce markup and standard Web development technologies like HTML5, CSS, JavaScript, and jQuery, you can rapidly build rich UIs for any app.
In this webinar, we will go beyond the basics of Visualforce, and show you how to make your pages lean and fast, to provide you users with an awesome experience, resulting in high adoption rates. We will also focus on best practices and tips to help you improve page efficiency.
In addition to the above, we will also show you how to build custom components, ones that can be reused across several Visualforce pages and applications.
Key Takeaways
::Get thorough knowledge about Viewstate, JavaScript Remoting, Asynchronous Apex and Streaming API.
::Get up to speed with Visualforce components, and see examples of advanced custom Visualforce components in action.
::Discover how to use strongly typed attributes to parameterize component.
::Learn how to incorporate presentation, data and logic.
Intended Audience
This session is tailored for experienced developers who are already familiar with the Visualforce framework.
Recommended Resources
https://developer.salesforce.com/events/webinars/advanced_visualforce_salesforce1
Force.com is the world's leading cloud platform that lets you build apps rapidly using configuration-driven development and powerful programmatic logic. With Force.com, you can design mobile, social, and real-time apps in the cloud five times faster than with traditional software development approaches.
Watch this webinar to learn about:
:: how Force.com streamlines app development life cycles
:: how Force.com's open architecture facilitates integration with other systems
:: the basics you need to get started building your first app in the cloud
Watch the recording on YouTube:
http://youtu.be/ee1ncea0eeE
Developing applications on Amazon Web Services (AWS) or moving your business into the cloud is more straightforward than you think. Whether you are a developer eager to learn new skills, a solutions architect who wants to solve existing technology problems, the IT professional who wants access to cost-effective, on-demand computing resources, this slides may help you.
Amazon EC2 Demo - YouTube Recording: http://www.youtube.com/watch?v=kMExnVKhmYc&feature=youtu.be
Viadeo's framework for effective CQRS/DDD/EDA architecture. Inspired from Axon framework.
take it as it (or not) :
https://github.com/viadeo/kasper-framework/
outdated documentation :
http://kasper-doc.viadeo.com/kasper-framework/latest/
In recent years, we have seen an overwhelming number of TV commercials that promise that the Cloud can help with many problems, including some family issues. What stands behind the terms “Cloud” and “Cloud Computing,” and what we can actually expect from this phenomenon? A group of students of the Computer Systems Technology department and Dr. T. Malyuta, whom has been working with the Cloud technologies since its early days, will provide an overview of the business and technological aspects of the Cloud.
Introduction to AWS OutIntroduction to AWS Outposts - CMP203 - Chicago AWS Su...Amazon Web Services
Companies are moving existing on-premises applications to the cloud as fast as possible to become more agile and lower costs. However, certain workloads must remain on-premises due to low latency or local data-processing requirements. AWS Outposts brings fully managed, native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility. In this tech talk, we provide an introduction to AWS Outposts and how it works, as well as present customer use cases. We also explore ways to use AWS-cloud native APIs to support workloads that must remain on-premises for a truly consistent hybrid experience.
In this session, learn how you evaluate, design, build, and manage distributed applications over hybrid infrastructures using Amazon Web Services. This session follows the evolution of a simple legacy data center expansion with basic connectivity into managing complex hybrid applications. Along the way, we investigate best practice designs in use by AWS customers. Topics covered include interconnectivity, availability, security, and hybrid networks with Amazon VPC and AWS Direct Connect, as well as automated provisioning with AWS CloudFormation and configuration management with AWS OpsWorks.
Bridge Your Kafka Streams to Azure Webinarconfluent
With a fully managed Apache Kafka(R) as-a-service on Microsoft Azure, businesses can focus on building applications and not managing clusters. Build a persistent bridge from on-premises data systems to the cloud with a hybrid Kafka service or stream across public clouds for multi-cloud data pipelines.
In this session for business and technical data leaders, you can learn about powering business applications with the managed Kafka service that streams data into Azure SQL Data Warehouse, Cosmos DB, Azure Data Lake Storage and Azure Blob Storage.
Amazon WorkSpaces: Advanced Topics and Application DeliveryAmazon Web Services
Amazon WorkSpaces is an enterprise desktop computing service in the cloud. In this session we will discuss configuration and management of Amazon WorkSpaces as part of your private network. We will also introduce Amazon WorkSpaces Application Manager, a fast, flexible, and secure way for you to deploy and manage applications for your Amazon WorkSpaces.
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.
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.
Developing applications on Amazon Web Services (AWS) or moving your business into the cloud is more straightforward than you think. Whether you are a developer eager to learn new skills, a solutions architect who wants to solve existing technology problems, the IT professional who wants access to cost-effective, on-demand computing resources, this slides may help you.
Amazon EC2 Demo - YouTube Recording: http://www.youtube.com/watch?v=kMExnVKhmYc&feature=youtu.be
Viadeo's framework for effective CQRS/DDD/EDA architecture. Inspired from Axon framework.
take it as it (or not) :
https://github.com/viadeo/kasper-framework/
outdated documentation :
http://kasper-doc.viadeo.com/kasper-framework/latest/
In recent years, we have seen an overwhelming number of TV commercials that promise that the Cloud can help with many problems, including some family issues. What stands behind the terms “Cloud” and “Cloud Computing,” and what we can actually expect from this phenomenon? A group of students of the Computer Systems Technology department and Dr. T. Malyuta, whom has been working with the Cloud technologies since its early days, will provide an overview of the business and technological aspects of the Cloud.
Introduction to AWS OutIntroduction to AWS Outposts - CMP203 - Chicago AWS Su...Amazon Web Services
Companies are moving existing on-premises applications to the cloud as fast as possible to become more agile and lower costs. However, certain workloads must remain on-premises due to low latency or local data-processing requirements. AWS Outposts brings fully managed, native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility. In this tech talk, we provide an introduction to AWS Outposts and how it works, as well as present customer use cases. We also explore ways to use AWS-cloud native APIs to support workloads that must remain on-premises for a truly consistent hybrid experience.
In this session, learn how you evaluate, design, build, and manage distributed applications over hybrid infrastructures using Amazon Web Services. This session follows the evolution of a simple legacy data center expansion with basic connectivity into managing complex hybrid applications. Along the way, we investigate best practice designs in use by AWS customers. Topics covered include interconnectivity, availability, security, and hybrid networks with Amazon VPC and AWS Direct Connect, as well as automated provisioning with AWS CloudFormation and configuration management with AWS OpsWorks.
Bridge Your Kafka Streams to Azure Webinarconfluent
With a fully managed Apache Kafka(R) as-a-service on Microsoft Azure, businesses can focus on building applications and not managing clusters. Build a persistent bridge from on-premises data systems to the cloud with a hybrid Kafka service or stream across public clouds for multi-cloud data pipelines.
In this session for business and technical data leaders, you can learn about powering business applications with the managed Kafka service that streams data into Azure SQL Data Warehouse, Cosmos DB, Azure Data Lake Storage and Azure Blob Storage.
Amazon WorkSpaces: Advanced Topics and Application DeliveryAmazon Web Services
Amazon WorkSpaces is an enterprise desktop computing service in the cloud. In this session we will discuss configuration and management of Amazon WorkSpaces as part of your private network. We will also introduce Amazon WorkSpaces Application Manager, a fast, flexible, and secure way for you to deploy and manage applications for your Amazon WorkSpaces.
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.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
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.
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
2. Marketplace variety
“Marketplaces” are booming
EachVA-related vendor is at a different point of development
The idea is to compile data across leadingVA marketplaces
VMware (www.vmware.com/appliances)
VirtualBox (http://virtualboximages.com/vdi/index?page=0)
Amazon EC2
(developer.amazonwebservices.com/connect/kbcategory.jspa?
categoryID=171
Parallels (www.parallels.com/ptn/download/va/?
sort=update&lsort=&categ=
This represents about 2500 appliances
3. Protocol
Raw data was captured via web crawlers on marketplaces respective
websites
Metrics include operating system, submitter, appliance category
Data was cleansed at the appliance level to reflect exact appliance
distribution
It was observed that VMware maintains an old pool of appliances that sometimes link to the outer space. It even maintains two separate ways of representing the appliance characteristics.
You can check http://www.vmware.com/appliances/directory/7 versus http://www.vmware.com/appliances/directory/786323
The estimated number of “old” VMware appliances is around 800. Knowing VMware had 1400+ appliances at the time of writing, the number of “recent” appliances drops down to ~600, which happens to match EC2’s share. To put things in perspective, “old” appliances are dated prior to 2006.
Windows is underrepresented in the appliance marketplaces. With a total of 53 Windows appliances found on EC2, the platform holds almost all of the 72 Windows appliances listed across all studied marketplaces. Redistribution and licensing must play an important part in those numbers.
The Windows appliances found on Parallels and VMWare are sometimes beta or release candidiate version of the Windows OS.
On the Linux side, there are up to 14 different Linux distributions that appliances are running on: these are: Solaris, SlackWare, Mandriva, OpenBSD, Gentoo, RedHat, FreeBSD, Fedora, rPath, CentOS, Debian, SUSE and Ubuntu.
Descriptions on the marketplaces crawled not being too accurate, it was sometimes impossible to label a VA more accurately than “Linux”. This was the case for EC2 appliances. Therefore the share of Ubuntu may be bigger than it seems.
Ubuntu represents about 30% of all appliances on VMWare, 40% on VirtualBox, and 55% on Parallels. Should 30% of EC2 appliances be on Linux, the overall Ubuntu usage across marketplaces would jump by 6-7 points.
"Others" are unidentified OSs due to poor documentation
VirtualBox hosts 306 appliances.
There are no distinctions between Unix distributions on EC2
Parallels hosts 89 appliances
Categories are described on this page: http://www.vmware.com/appliances/categories.html