Pivotal's cloud native application framework provides developers and architects with all the tools needed to create resilient, secure, and scalable applications. It is composed of three layers spanning the entire application lifecycle from development to production: 1) 12 factor apps and microservices, 2) container orchestration, and 3) infrastructure automation. At the core is Pivotal Cloud Foundry, an open source cloud platform that allows for building, deploying, and managing cloud-native applications.
Our Cloud Native Runtime Platform provides a self service deployment workflow with role based access to resources on top of the most deployed container scheduler on the market. The Cloud Foundry Elastic Runtime has been leveraging containers for their speed and density since 2011. Using container isolation and orchestration designed to detect and remediate failure in real time, Pivotal Cloud Foundry provides a structured platform for continuously delivering mission critical applications with speed, reliability and security. Every application is monitored for health, performance and streams logs through the platform. The design offers minimal friction and overhead for developers to build and deploy to a platform operations can trust and control.
Automation can only be as good as the people who use it. High trust cultures which empower, minimize blame and connect people with intrinsic motivations will dominate the cloud native landscape. The cloud was not built with ITIL. Heavy change control processes attempted to minimize incidents but typically drain the enthusiasm of the people while resulting in brittle systems which fail catastrophically. Self service policy enforcing automation makes doing the right thing easy and expedient allowing cloud natives to focus on delivering for the business instead of managing politics and signatures.
By integrating provisioning, packaging, configuration, orchestration, health monitoring and remediation, Cloud Native Infrastructure Automation goes beyond configuring servers to provide structured abstractions for the service lifecycle to drive incredible operational efficiencies. This Cloud Native approach allows the focus to be on delivering services. Modeling releases and deployments ensures bit for bit consistent deployments with canary deployment, scale up, scale down, rolling upgrade and rollback with no downtime built in to the orchestration. All driven using the APIs of the underlying cloud infrastructure. Using this approach gives an organization the ability to run anything ‘as a Service’, from the Cloud Foundry Elastic Runtime, to databases and message queues. Finally, stop managing servers and start managing services.
The ability to deliver software is no longer a differentiator. In fact, it is a basic requirement for survival. Companies that embrace cloud native patterns of software delivery will survive; companies that don’t - will not.
In this webinar, we:
Look at the common patterns that distinguish cloud native companies and the architectures that they employ.
Discover that an opinionated platform, one that stretches from the infrastructure all the way to the application framework, rather than ad-hoc automation, is an essential component to an enterprise's cloud native journey.
Show that the combination of Pivotal Cloud Foundry and Spring is the complete cloud native platform.
To watch the replay, visit https://pivotal.io/platform/webinar/the-cloud-native-journey
Dipping Your Toes Into Cloud Native Application DevelopmentMatthew Farina
Presented at CloudDevelop 2016
Building cloud native applications in containers is a new hot topic. Netflix and Google are two prime examples that have been doing it successfully for some time. Some of the new exciting projects like Docker and Kubernetes are focused on cloud native applications in containers. There are supposed to be numerous benefits including the ability to scale applications out easily while doing development on small systems like laptops, the ability for the system to handle some operational problems, and the capability to safely deploy updates to production many times per day. But, what does this look like in practice and how do you start the move to cloud native and containerized applications? In this session we'll look at what makes up a cloud native application, how they work, and how you can start small. We'll look at applications from an architecture and process point of view along with how you can deploy them to AWS, Azure, or Google Cloud. You'll walk away ready to start development on a cloud native app.
Our Cloud Native Runtime Platform provides a self service deployment workflow with role based access to resources on top of the most deployed container scheduler on the market. The Cloud Foundry Elastic Runtime has been leveraging containers for their speed and density since 2011. Using container isolation and orchestration designed to detect and remediate failure in real time, Pivotal Cloud Foundry provides a structured platform for continuously delivering mission critical applications with speed, reliability and security. Every application is monitored for health, performance and streams logs through the platform. The design offers minimal friction and overhead for developers to build and deploy to a platform operations can trust and control.
Automation can only be as good as the people who use it. High trust cultures which empower, minimize blame and connect people with intrinsic motivations will dominate the cloud native landscape. The cloud was not built with ITIL. Heavy change control processes attempted to minimize incidents but typically drain the enthusiasm of the people while resulting in brittle systems which fail catastrophically. Self service policy enforcing automation makes doing the right thing easy and expedient allowing cloud natives to focus on delivering for the business instead of managing politics and signatures.
By integrating provisioning, packaging, configuration, orchestration, health monitoring and remediation, Cloud Native Infrastructure Automation goes beyond configuring servers to provide structured abstractions for the service lifecycle to drive incredible operational efficiencies. This Cloud Native approach allows the focus to be on delivering services. Modeling releases and deployments ensures bit for bit consistent deployments with canary deployment, scale up, scale down, rolling upgrade and rollback with no downtime built in to the orchestration. All driven using the APIs of the underlying cloud infrastructure. Using this approach gives an organization the ability to run anything ‘as a Service’, from the Cloud Foundry Elastic Runtime, to databases and message queues. Finally, stop managing servers and start managing services.
The ability to deliver software is no longer a differentiator. In fact, it is a basic requirement for survival. Companies that embrace cloud native patterns of software delivery will survive; companies that don’t - will not.
In this webinar, we:
Look at the common patterns that distinguish cloud native companies and the architectures that they employ.
Discover that an opinionated platform, one that stretches from the infrastructure all the way to the application framework, rather than ad-hoc automation, is an essential component to an enterprise's cloud native journey.
Show that the combination of Pivotal Cloud Foundry and Spring is the complete cloud native platform.
To watch the replay, visit https://pivotal.io/platform/webinar/the-cloud-native-journey
Dipping Your Toes Into Cloud Native Application DevelopmentMatthew Farina
Presented at CloudDevelop 2016
Building cloud native applications in containers is a new hot topic. Netflix and Google are two prime examples that have been doing it successfully for some time. Some of the new exciting projects like Docker and Kubernetes are focused on cloud native applications in containers. There are supposed to be numerous benefits including the ability to scale applications out easily while doing development on small systems like laptops, the ability for the system to handle some operational problems, and the capability to safely deploy updates to production many times per day. But, what does this look like in practice and how do you start the move to cloud native and containerized applications? In this session we'll look at what makes up a cloud native application, how they work, and how you can start small. We'll look at applications from an architecture and process point of view along with how you can deploy them to AWS, Azure, or Google Cloud. You'll walk away ready to start development on a cloud native app.
slides for VMworld presentation
Devops, Continuous Delivery, Microservices, Platforms, what does it all mean?
TL;DR
Automation is a function of what is being automated. Ad hoc automation will not solve deployment and operational problems as much as being thoughtful about the architectures being deployed. The technology and the people mirror each other's communication.
Cloud Native Computing: What does it mean, and is your app Cloud Native?Michael O'Sullivan
There is a growing choice of Cloud Platforms available today - these provide services and tooling for developers to deploy applications to the Cloud. The Cloud has brought considerations such as elastic scalability and distributed computing to the forefront of modern application architectures. Over time, a new type of application has now emerged, known as the Cloud Native Application. Such an application is said to be purpose-built for deployment on the Cloud. This has even led to a new paradigm known as Cloud Native Computing. In practice though, it is easy to be confused or unclear as to what Cloud Native means. How does a Cloud Native approach change the way in which developers code applications? How does this influence the architecture of an application? Does it force you to use a certain set of technologies such as Containers? Or, does it mean that an application that simply runs and scales on a distributed Cloud Platform is somehow considered to be running natively on the Cloud? Cloud Native Computing impacts on the answers to each of these questions, and applications running on the Cloud may not be considered Cloud Native at all.
In this talk, the meaning of Cloud Native will be explored and clarified. With practical examples where appropriate, the concepts behind a Cloud Native Application will be demonstrated. These examples will not only touch on the common terms and phrases around Cloud Native Computing such as DevOps, Microservices, The 12-Factor App methodology, but also on the technologies that have driven the creation this new paradigm, such as Cloud Foundry, Docker, and Kubernetes. How these technologies are used to deploy and scale Cloud Native Applications on "Platform as a Service" (PaaS) Cloud Platforms will also be presented.
At the conclusion, what is considered a Cloud Native Application and why should be clear - the attributes and typical architecture of such an application, as well as how technologies and PaaS services can be used to drive these applications on the cloud.
Cloud Foundry CEO Sam Ramji (@sramji) discusses the evolution of modern cloud computing architecture in a keynote speech at O'Reilly's Software Architecture Conference in Boston on March 19, 2015.
Extending the Platform with Spring Boot and Cloud FoundryKenny Bastani
When developing cloud native applications that are deployed and operated using a cloud platform, such as Cloud Foundry, there becomes a need to provision middleware services using the platform. The result of building platform services are that developers using the platform are able to take advantage of service offerings as bindings for their application deployments.
The Cloud Native Journey with Simon ElishaChloe Jackson
The ability to deliver software is no longer a differentiator. In fact, it is a basic requirement for survival. Companies that embrace cloud native patterns of software delivery will survive; companies that don’t will not.
In this webinar, we will:
- Look at the common patterns that distinguish cloud native companies and the architectures that they employ.
- Discover that an opinionated platform, one that stretches from the infrastructure all the way to the application framework, rather than ad-hoc automation, is an essential component to an enterprise's cloud native journey.
- Show that the combination of Pivotal Cloud Foundry and Spring is the complete cloud native platform.
Cloud Native Machine Learning is a guide to bringing your experimental machine learning code to production using serverless capabilities from major cloud providers. You’ll start with best practices for your datasets, learning to bring VACUUM data-quality principles to your projects, and ensure that your datasets can be reproducibly sampled. Next, you’ll learn to implement machine learning models with PyTorch, discovering how to scale up your models in the cloud and how to use PyTorch Lightning for distributed ML training. Finally, you’ll tune and engineer your serverless machine learning pipeline for scalability, elasticity, and ease of monitoring with the built-in notification tools of your cloud platform. When you’re done, you’ll have the tools to easily bridge the gap between ML models and a fully functioning production system.
Learn more about the book here: http://mng.bz/em9w
Back your app with MySQL and Redis on Cloud FoundryKenny Bastani
In this session, we will build a minimum viable Spring Data web service with REST API, add a MySQL backing service as the primary data store, and a Redis Labs backing service for caching. We will demonstrate performance metrics without Redis caching enabled and then with Redis caching enabled. I will also provide an intro-level explanation of the platform capabilities within Pivotal Web Services
Your opportunity to see how you can address your application development and delivery challenges with Pivotal Cloud Foundry.
Speaker: Vijay Rajagopal, Advisory Platform Architect, Pivotal
Driving Enterprise Architecture Redesign: Cloud-Native Platforms, APIs, and D...Chris Haddad
High performance architecture is rapidly changing due to three fundamental drivers:
Cloud-Native Platforms - change the way we think about operational infrastructure
DevOps - changes application lifecycle practices
APIs - change how we integrate and evolve infrastructure and applications, especially Mobile apps
In this session, Chris will illustrate:
Why you should consider Cloud-Native architecture components in your Enterprise Architecture
What is DevOps impact on App and API design guidelines
How API-centric focus revises Enterprise Architecture
Your opportunity to see how you can address your application development and delivery challenges with Pivotal Cloud Foundry.
Speaker: Vijay Rajagopal, Advisory Platform Architect, Pivotal
Most ops groups can’t give developers what they need. Ops is limited by traditional service delivery mindset and tools. Stability & reliability are now table-stakes when you are releasing software daily. What developers need now from ops is innovation. Operations has rarely taken this innovation-driven, product approach to providing services, & instead focuses on delivering to specification & limiting SLAs. As with development, ops creates value with continuous operations, product managing their platforms and releasing frequently. This talk covers how ops groups are transforming from a service delivery mindset a platform-as-a-product approach. With examples from Discover Financial Services, Rabobank, the US Air Force, & others the talk covers the concept, technologies & tools commonly used, & ops tactics needed to kick-off a platform-as-a-product strategy.
ClouNS - A Cloud-native Application Reference Model for Enterprise ArchitectsNane Kratzke
The capability to operate cloud-native applications can create enormous business growth and value. But enterprise architects should be aware that cloud-native applications are vulnerable to vendor lock-in. We investigated cloud-native application design principles, public cloud service providers, and industrial cloud standards. All results indicate that most cloud service categories seem to foster vendor lock-in situations which might be especially problematic for enterprise architectures. This might sound disillusioning at first. However, we present a reference model for cloud-native applications that relies only on a small subset of well standardized IaaS services. The reference model can be used for codifying cloud technologies. It can guide technology identification, classification, adoption, research and development processes for cloud-native application and for vendor lock-in aware enterprise architecture engineering methodologies.
Cloud Native Runtime Platform by Erwan Bornier, Field Engineer, Pivotal. This presentation is from VMworld Barcelona. For more information, visit https://pivotal.io/event/vmworld-europe
slides for VMworld presentation
Devops, Continuous Delivery, Microservices, Platforms, what does it all mean?
TL;DR
Automation is a function of what is being automated. Ad hoc automation will not solve deployment and operational problems as much as being thoughtful about the architectures being deployed. The technology and the people mirror each other's communication.
Cloud Native Computing: What does it mean, and is your app Cloud Native?Michael O'Sullivan
There is a growing choice of Cloud Platforms available today - these provide services and tooling for developers to deploy applications to the Cloud. The Cloud has brought considerations such as elastic scalability and distributed computing to the forefront of modern application architectures. Over time, a new type of application has now emerged, known as the Cloud Native Application. Such an application is said to be purpose-built for deployment on the Cloud. This has even led to a new paradigm known as Cloud Native Computing. In practice though, it is easy to be confused or unclear as to what Cloud Native means. How does a Cloud Native approach change the way in which developers code applications? How does this influence the architecture of an application? Does it force you to use a certain set of technologies such as Containers? Or, does it mean that an application that simply runs and scales on a distributed Cloud Platform is somehow considered to be running natively on the Cloud? Cloud Native Computing impacts on the answers to each of these questions, and applications running on the Cloud may not be considered Cloud Native at all.
In this talk, the meaning of Cloud Native will be explored and clarified. With practical examples where appropriate, the concepts behind a Cloud Native Application will be demonstrated. These examples will not only touch on the common terms and phrases around Cloud Native Computing such as DevOps, Microservices, The 12-Factor App methodology, but also on the technologies that have driven the creation this new paradigm, such as Cloud Foundry, Docker, and Kubernetes. How these technologies are used to deploy and scale Cloud Native Applications on "Platform as a Service" (PaaS) Cloud Platforms will also be presented.
At the conclusion, what is considered a Cloud Native Application and why should be clear - the attributes and typical architecture of such an application, as well as how technologies and PaaS services can be used to drive these applications on the cloud.
Cloud Foundry CEO Sam Ramji (@sramji) discusses the evolution of modern cloud computing architecture in a keynote speech at O'Reilly's Software Architecture Conference in Boston on March 19, 2015.
Extending the Platform with Spring Boot and Cloud FoundryKenny Bastani
When developing cloud native applications that are deployed and operated using a cloud platform, such as Cloud Foundry, there becomes a need to provision middleware services using the platform. The result of building platform services are that developers using the platform are able to take advantage of service offerings as bindings for their application deployments.
The Cloud Native Journey with Simon ElishaChloe Jackson
The ability to deliver software is no longer a differentiator. In fact, it is a basic requirement for survival. Companies that embrace cloud native patterns of software delivery will survive; companies that don’t will not.
In this webinar, we will:
- Look at the common patterns that distinguish cloud native companies and the architectures that they employ.
- Discover that an opinionated platform, one that stretches from the infrastructure all the way to the application framework, rather than ad-hoc automation, is an essential component to an enterprise's cloud native journey.
- Show that the combination of Pivotal Cloud Foundry and Spring is the complete cloud native platform.
Cloud Native Machine Learning is a guide to bringing your experimental machine learning code to production using serverless capabilities from major cloud providers. You’ll start with best practices for your datasets, learning to bring VACUUM data-quality principles to your projects, and ensure that your datasets can be reproducibly sampled. Next, you’ll learn to implement machine learning models with PyTorch, discovering how to scale up your models in the cloud and how to use PyTorch Lightning for distributed ML training. Finally, you’ll tune and engineer your serverless machine learning pipeline for scalability, elasticity, and ease of monitoring with the built-in notification tools of your cloud platform. When you’re done, you’ll have the tools to easily bridge the gap between ML models and a fully functioning production system.
Learn more about the book here: http://mng.bz/em9w
Back your app with MySQL and Redis on Cloud FoundryKenny Bastani
In this session, we will build a minimum viable Spring Data web service with REST API, add a MySQL backing service as the primary data store, and a Redis Labs backing service for caching. We will demonstrate performance metrics without Redis caching enabled and then with Redis caching enabled. I will also provide an intro-level explanation of the platform capabilities within Pivotal Web Services
Your opportunity to see how you can address your application development and delivery challenges with Pivotal Cloud Foundry.
Speaker: Vijay Rajagopal, Advisory Platform Architect, Pivotal
Driving Enterprise Architecture Redesign: Cloud-Native Platforms, APIs, and D...Chris Haddad
High performance architecture is rapidly changing due to three fundamental drivers:
Cloud-Native Platforms - change the way we think about operational infrastructure
DevOps - changes application lifecycle practices
APIs - change how we integrate and evolve infrastructure and applications, especially Mobile apps
In this session, Chris will illustrate:
Why you should consider Cloud-Native architecture components in your Enterprise Architecture
What is DevOps impact on App and API design guidelines
How API-centric focus revises Enterprise Architecture
Your opportunity to see how you can address your application development and delivery challenges with Pivotal Cloud Foundry.
Speaker: Vijay Rajagopal, Advisory Platform Architect, Pivotal
Most ops groups can’t give developers what they need. Ops is limited by traditional service delivery mindset and tools. Stability & reliability are now table-stakes when you are releasing software daily. What developers need now from ops is innovation. Operations has rarely taken this innovation-driven, product approach to providing services, & instead focuses on delivering to specification & limiting SLAs. As with development, ops creates value with continuous operations, product managing their platforms and releasing frequently. This talk covers how ops groups are transforming from a service delivery mindset a platform-as-a-product approach. With examples from Discover Financial Services, Rabobank, the US Air Force, & others the talk covers the concept, technologies & tools commonly used, & ops tactics needed to kick-off a platform-as-a-product strategy.
ClouNS - A Cloud-native Application Reference Model for Enterprise ArchitectsNane Kratzke
The capability to operate cloud-native applications can create enormous business growth and value. But enterprise architects should be aware that cloud-native applications are vulnerable to vendor lock-in. We investigated cloud-native application design principles, public cloud service providers, and industrial cloud standards. All results indicate that most cloud service categories seem to foster vendor lock-in situations which might be especially problematic for enterprise architectures. This might sound disillusioning at first. However, we present a reference model for cloud-native applications that relies only on a small subset of well standardized IaaS services. The reference model can be used for codifying cloud technologies. It can guide technology identification, classification, adoption, research and development processes for cloud-native application and for vendor lock-in aware enterprise architecture engineering methodologies.
Cloud Native Runtime Platform by Erwan Bornier, Field Engineer, Pivotal. This presentation is from VMworld Barcelona. For more information, visit https://pivotal.io/event/vmworld-europe
Keynote presentation for the Pivotal Cloud Platform Roadshow. Introduces the market drivers for the Cloud Foundry Platform as a Service, discusses open source softwared (Cloud Foundry is OSS) and introduces the fundamentals of the platform.
클라우드 네이티브 어플리케이션과 Spring, 그리고 Cloud Foundry 가 어떻게 연관이 있는지에 대해 설명합니다. Cloud Foundry Meetup 에서 사용 되었습니다. http://www.meetup.com/Seoul-Cloud-Foundry-Meetup/
Competing with Software: It Takes a Platform -- Devops @ EMC Worldcornelia davis
Presentation at Devops @ EMC World event, 3 May 2015
In Mark Andreessen’s 2010 piece for the Wall Street Journal, in which he declared “Software is Eating the World,” he talked about well established, large enterprises loosing footing to small, nimble startup companies who are far better at bringing software to their consumers. In fact, it’s not as much that these upstarts are better at meeting customer demands, rather they are the cause of the increased expectations, providing consumers with things they didn’t even know they wanted. What are the factors behind their success? New development and operational approaches including extreme agile & test driven development, continuous delivery and devops practices all play a significant role, and while a part of the difference is cultural, tools matter. In this session we’ll look at why a software-driven enterprise needs platform. Google has one. Facebook has one. Netflix has one. Your enterprise needs one.
Cloud Foundry open Platform as a Service makes it easy to operate, scale and deploy application for your dedicated cloud environments. It enables developers and operators to be significantly more agile, writing great applications and deliver them in days instead of months. Cloud Foundry takes care of all the infrastructure and network plumbing that you need to build, run and operate your applications and can do this while patching and updating systems and services without any downtime.
According to a Forrester research, the traditional 3-tier web architecture does not deliver anymore. Instead, a 4-tier engagement platform is what's required in a mobile-centric world. And further to that, application developers and enterprise architects needs a new mindset in and must relentlessly adhere to loosely coupled services and tiers, a distributed deployment and development model, and dynamically composed services to support contextual experiences.
This is where MuleSoft's Anypoint Platform fits very well to provide the necessary aggregation tier of the 4-tier engagement platform to serve the needs of the new mobile-centric world.
Enterprises are discovering the move to a mobile world not only presents new opportunities but also unique challenges. Oracle has identified numerous pain points amongst its customers in making the move to mobile, and to address these issues, no matter where the customer is in their mobile adoption, has a solution to meet their mobile development needs.
WEBINAR: API Clouds for Faster APIs: Leveraging Existing Assets for the API ...Jason Bloomberg
This webinar will be presented LIVE at 11:00 PST / 2:00 EST on Thursday, November 12. Go to http://go.softwareag.com/K0000DJ00NR33BB000Ho0P0 to register.
Every enterprise is undergoing end-to-end digital transformation, and Application Programming Interfaces (APIs) are the key to bringing existing IT assets to bear in today's cloud-centric digital initiatives.
Today's APIs are more than just software interfaces. They are the glue that holds the digital world together.
When developers leverage your APIs to create mashups and apps, or to support new devices, your reach is extended, and new channels are opened up to your unique corporate data and services.
If you want to get on board the new API economy to reach new customers and unlock the business value of your corporate assets, you must make your APIs easily accessible to users. The fastest way to do so is with an API Cloud.
Join Digital Transformation thought leader Jason Bloomberg, president of Intellyx, and David Overos from Software AG for a thought-provoking discussion on the role APIs play in enterprise digital initiatives, and how to leverage an API Cloud to quickly participate in today's burgeoning API economy.
Anypoint Platform for Pivotal Cloud FoundryMuleSoft
Customers need a choice of deployment environments whether on MuleSoft's cloud, on-premises or in a private cloud using a platform as a service (PaaS) framework. Learn how MuleSoft and Pivotal work together to deliver application networks within a secure private cloud. In this session, we will discuss the different deployment modes of Anypoint Platform on Pivotal Cloud Foundry.
HP Helion Webinar #2 - Developing and deploying a web app using Cloud Foundry with Etienne Cointet
HP is one of the founding members of the Cloud Foundry PaaS foundation, the fast becoming de facto standards in Cloud-Native Applications.
http://hphelion.bemyapp.com
The New Possible: How Platform-as-a-Service Changes the GameInside Analysis
The Briefing Room with Robin Bloor and Pivotal
Live Webcast on March 11, 2014
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=207635ace8d29cb9f557671dd5bb7bcb
Big data offers great promise, but to take advantage of this unwieldy resource, organizations need to think differently. Using traditional methods for data management won't provide the power and agility necessary to meet today's challenges. That's why a new approach to information architecture is taking shape: Platform-as-a-Service. By smartly integrating key legacy systems to powerful cloud-based offerings, companies can iterate quickly and therefore stay ahead of the competition.
Register for this episode of The Briefing Room to hear veteran Analyst Robin Bloor as he explains how cloud platforms are disrupting the status quo and opening new doors for information access, analysis and delivery. He will be briefed by James Bayer of Pivotal, who will tout his company’s multi-cloud enterprise PaaS. He will share a live demo showing how Pivotal users can create and deploy a web application and connect it to a database within minutes.
Visit InsideAnlaysis.com for more information.
The Tanzu Developer Connect is a hands-on workshop that dives deep into TAP. Attendees receive a hands on experience. This is a great program to leverage accounts with current TAP opportunities.
The Tanzu Developer Connect is a hands-on workshop that dives deep into TAP. Attendees receive a hands on experience. This is a great program to leverage accounts with current TAP opportunities.
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.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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
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
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Thanks for visiting Pivotal at VMWorld.
My name is Julia and today I want to tell you about the Pivotal mission….
From the technology, to the people, to the way people interact with technology, Pivotal is transforming how the world builds software.
Now I want to tell you about one vital part, maybe the most visible part, of the cloud native stack, the application framework.
But first a word about how we got to this point.
We are entering into a fundamentally new era of business, where people have to build new experiences and new capabilities that are driven by software in order to compete in the market.
Competing in this service oriented world means moving fast with consistency and reliability.
Speed has to be balanced with operational excellence. This is the cloud native advantage.
In the not so distant past, software and systems were separate. Software was created by developers. Systems were built and maintained by system administrators.
Many organizations adopted heavy handed change management processes to slow the rate of change and reduce the number of incidents, often with large infrequent changes resulting in brittle systems that tend to fail catastrophically.
The relationship between developers and system administrators are often also brittle and prone to catastrophic failure.
The cloud native approach focuses more on minimizing the impact of incidents by releasing small batches into architectures designed to be operated with partial failure and recovered quickly.
Cloud, Devops, Microservices, Continuous Delivery; these are all aspects of the same phenomena.
The words that describe high performing teams delivering faster, but also delivering consistently and reliably at scale.
That’s what cloud native means.
Pivotal breaks down cloud native technology into 3 layers, which is all supported, reinforced and optimized by cloud native culture.
At the bottom, we have API driven cloud native infrastructure automation. This abstracts the provisioning and configuration of computing, networking and storage resources.
Then we have a cloud native container scheduling runtime responsible for building, running and operating applications.
The top layer consists of frameworks that enable the rapid development of cloud native applications with reusable components and patterns.
Now let’s spend a more time going a little deeper on the Application Framework.
These are the tools that provide all the functionality architects and developers need to design and deliver cloud native applications.
In particular these tools should enable creating microservices and 12 factor apps with minimal friction.
Organizations using these tools, and the supporting platform capabilities, create scalable secure applications while releasing new features every week, if not daily.
Microservices emerged as the primary cloud native architecture.
This method of designing applications breaks subsystems into small independent services.
The application is then composed of these small services.
The good news is that each of these services can be deployed and scaled independently, the bad news is they have to be, but we’ll come back that when we talk about the runtime platform.
In contrast, the traditional architectures delivered applications that were created, deployed and operated as one big monolith.
The pressure to deliver faster at scale, broke these monoliths apart as the early cloud native practioners found that monoliths created problems slowing things down to coordinate everyone for a release and also resisted the cloud preference for scaling out.
This microservice paradigm did not appear over night, but emerged as a pattern across a wide number of successful organizations.
With a monolith, everything must be shipped at once, which means delivery is only as fast as the slowest changing sub-component.
This works great when you have a small project and a small team, but if a large team on a complicated application requires coordinating across the organization, everything can grind to a halt as releases must be held back until everyone is ready.
Even worse, when everything is running in the same system, errors in the smallest subcomponent can bring down all of production.
To pile on, the slow release cadence means larger batches of change, which expose the application to more risk and potentially long after the context of the changes are gone.
Can you imagine trying to figure out where a mistake was made in 6 months of work when production systems are failing?
Unfortunately, I bet you can.
Microservices allow always keeping the trains running because each service is deployed independently in loose coordination with the rest.
Most of the consumer web applications that we take for granted are delivered this way.
Many of them even integrate with each other.
Twitter, Facebook, Google, flickr, Uber, Apple… none of them wait on each other to go ahead and deploy the applications you use everyday, but they use each other.
If microservices describe how the architect your application, what principals do you use for the actual code.
A good place to start is the 12 factor app principals.
Learn from and use the same methods that the original cloud native do.
These 12 simple principles give a surprising amount of detailed, prescriptive advice on how to write your applications to be ready for cloud deployment. They describe a contract between the developer and the cloud platform that, if followed, will allow an application to scale with cloud native resilience.
The other side of that contract must be provided by a platform like Pivotal Cloud Foundry.
Spring Boot is an open source Java framework optimized for developing microservices that is rapidly being adopted and has been embraced cloud native companies like Netflix.
In addition to the rapid development of simple microservices, Pivotal has also embraced a number of Netflix Open Source components to provide additional microservice capabilities like services discovery, dynamic configuration and circuit breakers.
This means that you can use the practices and tools relied on by Netflix and others while leveraging the Java skills you might already have.
Now you have an idea of how to develop cloud native applications and understanding microservices plus the 12 factor app approach is a great starting point the for new cloud native applications.
Your application is ready to be bundled up and ready to run on...something.
Come back to hear us talk about our Cloud Native Runtime Platform.
Together the Pivotal Cloud Native solution supports capabilities like zero downtime deployment, rolling updates, instantly scaling up and down, and continuous delivery...all because your application was designed as a cloud native application.
All of these tools are integrated, meaning: you don't have to do the work to make them all work together.
Instead, you can focus on writing your actual application and delighting your customers, rather than provisioning and configuring servers.
Finally, we wrote the book on how these microservices are used in cloud native architecture and how to get there.
We should have copies here, if you'd like one, or you can get the PDF for free online.
Thank you for your time today, we welcome you to check out all the Pivotal presentations and encourage you to ask one of our technology experts any questions you might have.
We would love to spend time telling you more about how Pivotal’s Cloud Native Platform is transforming how the world builds software.