Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. This way you get shorter time to results and increased flexibility.
Microservices have to be independent regarding build, deployment, data management and business domains. A solid Microservices design requires single responsibility, loose coupling and a decentralized architecture. A Microservice can to be closed or open to partners and public via APIs.
This session discusses technologies such as REST, WebSockets, OSGi, Puppet, Docker, Cloud Foundry, and many more, which can be used to build and deploy Microservices. The main part shows different open service frameworks and proprietary tools to build Microservices on top of these technologies. Live demos illustrate the differences. The audience will learn how to choose the right alternative for building Microservices.
Trends at JavaOne 2016: Microservices, Docker and Cloud-Native MiddlewareKai Wähner
In addition to focusing on many related concepts like container or service discovery, technologies like Docker and cloud platforms, my session also discussed ten lessons learned from building cloud-native middleware microservices together with our customers in the last months.
The demo brings this from theory to practice by showing how to deploy a single (i.e. built just once) TIBCO BusinessWorks Container Edition microservice to different cloud and container platforms: Docker, Kubernetes and Pivotal CloudFoundry. The video also shows how to leverage other cloud-native open source frameworks such as Consul and Spring Cloud Config for distributed configuration management and service discovery of middleware microservices.
Microservices = Death of the Enterprise Service Bus (ESB)?Kai Wähner
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. Continuous Integration and Continuous Delivery control deployments. This way you get shorter time to results and increased flexibility.
Microservices have to be independent regarding build, deployment, data management and business domains. A solid Microservices design requires single responsibility, loose coupling and a decentralized architecture. A Microservice can to be closed or open to partners and public via APIs.
This session discusses the requirements, best practices and challenges for creating a good Microservices architecture, and if this spells the end of the Enterprise Service Bus (ESB).
Key messages of the talk:
• Microservices = SOA done right
• Integration is key for success – the product name does not matter
• Real time event correlation is the game changer
Case Study: How to move from a Monolith to Cloud, Containers and MicroservicesKai Wähner
This session shows a case study about successfully moving from a very complex monolith system to a cloud-native architecture. The architecture leverages containers and Microservices to solve issues such as high efforts for extending the system, and a very slow deployment process. The old system included a few huge Java applications and a complex integration middleware deployment.
The new architecture allows flexible development, deployment and operations of business and integration services. Besides, it is vendor-agnostic so that you can leverage on-premise hardware, different public cloud infrastructures, and cloud-native PaaS platforms.
The session will describe the challenges of the existing monolith system, the step-by-step procedure to move to the new cloud-native Microservices architecture, and why containers such as Docker play a key role in this scenario.
A live demo shows how container solutions such as Docker, PaaS cloud platforms such as CloudFoundry, cluster managers such as Kubernetes or Mesos, and different programming languages are used to implement, deploy and scale cloud-native Microservices in a vendor-agnostic way.
Key takeaways for the audience:
- Best practices for moving to a cloud-native architecture
- How to leverage microservices and containers for flexible development, deployment and operations
- How to solve challenges in real world projects
- Understand key technologies, which are recommended
- How to stay vendor-agnostic
- See a live demo of how cloud-native applications respectively services differ from monolith applications regarding development and runtime
Blockchain - The Next Big Thing for MiddlewareKai Wähner
Fascinating new technologies are emerging these days. Everybody talks about cloud, containers, big data and machine learning. Another disrupting technology is blockchain. You might have heard about blockchain as the underlying infrastructure of Bitcoin. But Bitcoin is just the tip of the iceberg. This slide deck explains the use cases and technical concepts behind blockchain, gives an overview about available services, and points out why middleware is a key success factor in this space.
Microservices - Death of the Enterprise Service Bus (ESB)? (Update 2016)Kai Wähner
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently.
Continuous Integration and Continuous Delivery control deployments. This way you get shorter time to results and increased flexibility. Microservices have to be independent regarding build, deployment, data management and business domains. A solid Microservices design requires single responsibility, loose coupling and a decentralized architecture. A Microservice can to be closed or open to partners and public via APIs. This session discusses the requirements, best practices and challenges for creating a good Microservices architecture, and if this spells the end of the Enterprise Service Bus (ESB). A live demo will show how middleware and Microservices complement each other using containers, continuous integration, REST services, and open source frameworks such as Cloud Foundry.
A live demo showed a "Microservices Middleware Architecture" using Cloud Integration (with Cloud Foundry PaaS), Integration and Services (with TIBCO BusinessWorks Container Edition), API Management / Open API (with Mashery) amd Log Management / IT Operations Analytics (ITOA, with Papertrail and LogLogic / Unity).
Enterprise Integration Patterns Revisited (again) for the Era of Big Data, In...Kai Wähner
In 2015, I had two talks about Enterprise Integration Patterns at OOP 2015 in Munich, Germany and at JavaDay 2015 in Kiev, Ukraine. I reused a talk from 2013 and updated it with current trends to show how important Enterprise Integration Patterns (EIP) are everywhere today and in the upcoming years.
Trends at JavaOne 2016: Microservices, Docker and Cloud-Native MiddlewareKai Wähner
In addition to focusing on many related concepts like container or service discovery, technologies like Docker and cloud platforms, my session also discussed ten lessons learned from building cloud-native middleware microservices together with our customers in the last months.
The demo brings this from theory to practice by showing how to deploy a single (i.e. built just once) TIBCO BusinessWorks Container Edition microservice to different cloud and container platforms: Docker, Kubernetes and Pivotal CloudFoundry. The video also shows how to leverage other cloud-native open source frameworks such as Consul and Spring Cloud Config for distributed configuration management and service discovery of middleware microservices.
Microservices = Death of the Enterprise Service Bus (ESB)?Kai Wähner
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. Continuous Integration and Continuous Delivery control deployments. This way you get shorter time to results and increased flexibility.
Microservices have to be independent regarding build, deployment, data management and business domains. A solid Microservices design requires single responsibility, loose coupling and a decentralized architecture. A Microservice can to be closed or open to partners and public via APIs.
This session discusses the requirements, best practices and challenges for creating a good Microservices architecture, and if this spells the end of the Enterprise Service Bus (ESB).
Key messages of the talk:
• Microservices = SOA done right
• Integration is key for success – the product name does not matter
• Real time event correlation is the game changer
Case Study: How to move from a Monolith to Cloud, Containers and MicroservicesKai Wähner
This session shows a case study about successfully moving from a very complex monolith system to a cloud-native architecture. The architecture leverages containers and Microservices to solve issues such as high efforts for extending the system, and a very slow deployment process. The old system included a few huge Java applications and a complex integration middleware deployment.
The new architecture allows flexible development, deployment and operations of business and integration services. Besides, it is vendor-agnostic so that you can leverage on-premise hardware, different public cloud infrastructures, and cloud-native PaaS platforms.
The session will describe the challenges of the existing monolith system, the step-by-step procedure to move to the new cloud-native Microservices architecture, and why containers such as Docker play a key role in this scenario.
A live demo shows how container solutions such as Docker, PaaS cloud platforms such as CloudFoundry, cluster managers such as Kubernetes or Mesos, and different programming languages are used to implement, deploy and scale cloud-native Microservices in a vendor-agnostic way.
Key takeaways for the audience:
- Best practices for moving to a cloud-native architecture
- How to leverage microservices and containers for flexible development, deployment and operations
- How to solve challenges in real world projects
- Understand key technologies, which are recommended
- How to stay vendor-agnostic
- See a live demo of how cloud-native applications respectively services differ from monolith applications regarding development and runtime
Blockchain - The Next Big Thing for MiddlewareKai Wähner
Fascinating new technologies are emerging these days. Everybody talks about cloud, containers, big data and machine learning. Another disrupting technology is blockchain. You might have heard about blockchain as the underlying infrastructure of Bitcoin. But Bitcoin is just the tip of the iceberg. This slide deck explains the use cases and technical concepts behind blockchain, gives an overview about available services, and points out why middleware is a key success factor in this space.
Microservices - Death of the Enterprise Service Bus (ESB)? (Update 2016)Kai Wähner
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently.
Continuous Integration and Continuous Delivery control deployments. This way you get shorter time to results and increased flexibility. Microservices have to be independent regarding build, deployment, data management and business domains. A solid Microservices design requires single responsibility, loose coupling and a decentralized architecture. A Microservice can to be closed or open to partners and public via APIs. This session discusses the requirements, best practices and challenges for creating a good Microservices architecture, and if this spells the end of the Enterprise Service Bus (ESB). A live demo will show how middleware and Microservices complement each other using containers, continuous integration, REST services, and open source frameworks such as Cloud Foundry.
A live demo showed a "Microservices Middleware Architecture" using Cloud Integration (with Cloud Foundry PaaS), Integration and Services (with TIBCO BusinessWorks Container Edition), API Management / Open API (with Mashery) amd Log Management / IT Operations Analytics (ITOA, with Papertrail and LogLogic / Unity).
Enterprise Integration Patterns Revisited (again) for the Era of Big Data, In...Kai Wähner
In 2015, I had two talks about Enterprise Integration Patterns at OOP 2015 in Munich, Germany and at JavaDay 2015 in Kiev, Ukraine. I reused a talk from 2013 and updated it with current trends to show how important Enterprise Integration Patterns (EIP) are everywhere today and in the upcoming years.
Build & Deploy Scalable Cloud Applications in Record TimeRightScale
RightScale Webinar: August 11, 2009 - Watch this webinar to see a hands-on demonstration of WaveMaker Visual Ajax Studio and Rapid Deployment Framework to illustrate how easy it is to build your app in Wavemaker. We demonstrate the one-button push from Wavemaker to deploying your application on the cloud with the RightScale Cloud Management Platform. From there we show you how easy it is to manage, automate and scale your application running on the cloud.
Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Ser...Kai Wähner
Streaming Analytics Comparison of Open Source Frameworks, Products and Cloud Services. Includes Apache Storm, Flink, Spark, TIBCO, IBM, AWS Kinesis, Striim, Zoomdata, ...
This session discusses the technical concepts of stream processing / streaming analytics and how it is related to big data, mobile, cloud and internet of things. Different use cases such as predictive fault management or fraud detection are used to show and compare alternative frameworks and products for stream processing and streaming analytics.
The focus of the session lies on comparing
- different open source frameworks such as Apache Apex, Apache Flink or Apache Spark Streaming
- engines from software vendors such as IBM InfoSphere Streams, TIBCO StreamBase
- cloud offerings such as AWS Kinesis.
- real time streaming UIs such as Striim, Zoomdata or TIBCO Live Datamart.
Live demos will give the audience a good feeling about how to use these frameworks and tools.
The session will also discuss how stream processing is related to Apache Hadoop frameworks (such as MapReduce, Hive, Pig or Impala) and machine learning (such as R, Spark ML or H2O.ai).
Tour through the history of middleware from old architectures to cloud-native middleware microservices leveraging Docker, Kubernetes, Cloudfoundry.
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. Continuous Delivery automates deployments. This way you get shorter time to results and increased flexibility. Containers improve these even more offering a very lightweight and flexible deployment option.
In the middleware world, you use concepts and tools such as an Enterprise Service Bus (ESB), Complex Event Processing (CEP), Business Process Management (BPM) or API Gateways. Many people still think about complex, heavyweight central brokers. However, Microservices and containers are relevant not just for custom self-developed applications, but they are also a key requirement to make the middleware world more flexible, agile and automated.
This session focuses on live coding to demonstrate how to develop, deploy and operate cloud-native microservices in the middleware world. The live demos leverage frameworks and tools such as Docker, Kubernetes, Cloud Foundry, Consul, Spring Cloud Config, Eureka and Hystrix.
Original interactive slides here: http://slides.com/yunzhilin/microservices-and-friends#/
A tongue-in-cheek presentation to TrunkPlatform interns 2015.
SCS 4120 - Software Engineering IV
BACHELOR OF SCIENCE HONOURS IN COMPUTER SCIENCE
BACHELOR OF SCIENCE HONOURS IN SOFTWARE ENGINEERING
All in One Place Lecture Notes
Distribution Among Friends Only
All copyrights belong to their respective owners
Viraj Brian Wijesuriya
vbw@ucsc.cmb.ac.lk
Kevin Huang: AWS San Francisco Startup Day, 9/7/17
Architecture: When, how, and if to adopt microservices - Microservices are not for everyone! If you're a small shop, a monolith provides a great amount of value and reduces the complexities involved. However as your company grows, this monolith becomes more difficult to maintain. We’ll look at how microservices allow you to easily deploy and debug atomic pieces of infrastructure which allows for increased velocity in reliable, tested, and consistent deploys. We’ll look into key metrics you can use to identify the right time to begin the transition from monolith to microservices.
Microservices in the Enterprise: A Research Study and Reference ArchitectureJesus Rodriguez
This document presents a research about microservices architectures in the enterprise. The document explores some of the key patterns and technologies relevant to implement microservices solutions in enterprise environments.
In this session, we’ll discuss the benefits of moving from monolithic to micro-services application architectures, and examine where micro-services can be used. We’ll share common transition strategies and relate them to the specifics of e-commerce and retail workloads, using customer examples. You’ll learn how to build micro-services using AWS services, and get a better understanding of the role of data storage, API endpoints and service discovery. Plus, you can learn from the real-life experience of Digital Goodie, an online retailing platform for connected commerce.
We hear a lot about microservices vs. SOA but in reality most companies have both. In this session learn about how you can introduce microservices into your existing infrastructure and where microservices makes the most sense. Topics include how API management and the integration platform help you introduce microservices without the anarchy. See how products such as Oracle API Platform Cloud Service and Oracle Service Bus can be used to support traditional integration styles as well as microservices.
Presented by Luis Weir, Principal, Oracle Ace Director, Capgemini, at Oracle OpenWorld 2016.
Sharing about architecture aspects, technical knowledge and diagram as communication tool and navigation for software architect, stakeholder, operational team and developers
Full lifecycle of a microservice: how to
realize a fault-tolerant and reliable
architecture and deliver it as a Docker
container or in a Cloud environment
This slide deck explores the impact of MSA on API strategies and designs and the possible changes in API design and deployment, API security, control and monitoring, and CI/CD.
Watch recording: https://wso2.com/library/webinars/2018/09/apis-in-a-microservice-architecture
Machine Learning Applied to Real Time Scoring in Manufacturing and Energy Uti...Kai Wähner
Kai Wähner (@KaiWaehner) is a Technology Evangelist and Community Director at TIBCO Software - a leading provider of integration and analytics middleware. Kai is an experience guy in broad variety of topics like Big Data, Advanced Analytics & Machine Learning, he loves to write articles and blog about new technologies and make talks. The talk is about 3 different projects where Kai's team built analytic models with technologies R, Apache Spark or H2O.ai which were deployed to real time processing. The use cases include predictive maintenance in manufacturing but also fraud detection in banking and context-specific pricing in insurance. For one of the cases, Kai gonna show detailed steps will be, how it was built and deployed using supervised/unsupervised ML.
Talk was done together with my colleague Ankitaa Bhowmick.
Microservices Architectures: Become a Unicorn like Netflix, Twitter and Hailogjuljo
Full day workshop about Microservices Architectures, from the basis to advanced topics like Service Discovery, Load Balancing, Fault Tolerance and Centralized Logging.
Many technologies are involved, like Spring Cloud Netflix, Docker, Cloud Foundry and ELK.
A separate deck describes all the lab exercises.
Microservices: Decomposing Applications for Deployability and Scalability (ja...Chris Richardson
Today, there are several trends that are forcing application architectures to evolve. Users expect a rich, interactive and dynamic user experience on a wide variety of clients including mobile devices. Applications must be highly scalable, highly available and run on cloud environments. Organizations often want to frequently roll out updates, even multiple times a day. Consequently, it's no longer adequate to develop simple, monolithic web applications that serve up HTML to desktop browsers.In this talk we describe the limitations of a monolithic architecture. You will learn how to use the scale cube to decompose your application into a set of narrowly focused, independently deployable services. We will also discuss how an event-based approach addresses the key challenges of developing applications with this architecture.
TIBCO BWCE and Netflix' Hystrix Circuit Breaker for Cloud Native Middleware M...Kai Wähner
These slides show how to use TIBCO BusinessWorks Container Edition (BWCE) with Netflix' Hystrix Open Source Implementation of the Design Pattern 'Circuit Breaker' to develop, deploy and monitor cloud native middleware microservices.
Video recording with live demo: https://youtu.be/VL7-T6IIuZk
Find more information about cloud native middleware at https://community.tibco.com/wiki/microservices-containers-and-cloud-native-architectures
Enable rapid service provisioning with cics, microservices and the z/OS Provi...Matthew Webster
Learn how to take advantage of microservices as an architectural pattern from an industry-wide point of view through to CICS. Understand how microservices can help your development team become leaner and more agile, and how they can you help adopt DevOps processes. You'll learn how they're different from other architectural patterns like Service Oriented Architectures (SOA), and why z Systems and CICS are a good fit for them. We'll cover container technologies and see demos of various scenarios using the IBM z/OS Provisioning Toolkit.
Build & Deploy Scalable Cloud Applications in Record TimeRightScale
RightScale Webinar: August 11, 2009 - Watch this webinar to see a hands-on demonstration of WaveMaker Visual Ajax Studio and Rapid Deployment Framework to illustrate how easy it is to build your app in Wavemaker. We demonstrate the one-button push from Wavemaker to deploying your application on the cloud with the RightScale Cloud Management Platform. From there we show you how easy it is to manage, automate and scale your application running on the cloud.
Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Ser...Kai Wähner
Streaming Analytics Comparison of Open Source Frameworks, Products and Cloud Services. Includes Apache Storm, Flink, Spark, TIBCO, IBM, AWS Kinesis, Striim, Zoomdata, ...
This session discusses the technical concepts of stream processing / streaming analytics and how it is related to big data, mobile, cloud and internet of things. Different use cases such as predictive fault management or fraud detection are used to show and compare alternative frameworks and products for stream processing and streaming analytics.
The focus of the session lies on comparing
- different open source frameworks such as Apache Apex, Apache Flink or Apache Spark Streaming
- engines from software vendors such as IBM InfoSphere Streams, TIBCO StreamBase
- cloud offerings such as AWS Kinesis.
- real time streaming UIs such as Striim, Zoomdata or TIBCO Live Datamart.
Live demos will give the audience a good feeling about how to use these frameworks and tools.
The session will also discuss how stream processing is related to Apache Hadoop frameworks (such as MapReduce, Hive, Pig or Impala) and machine learning (such as R, Spark ML or H2O.ai).
Tour through the history of middleware from old architectures to cloud-native middleware microservices leveraging Docker, Kubernetes, Cloudfoundry.
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. Continuous Delivery automates deployments. This way you get shorter time to results and increased flexibility. Containers improve these even more offering a very lightweight and flexible deployment option.
In the middleware world, you use concepts and tools such as an Enterprise Service Bus (ESB), Complex Event Processing (CEP), Business Process Management (BPM) or API Gateways. Many people still think about complex, heavyweight central brokers. However, Microservices and containers are relevant not just for custom self-developed applications, but they are also a key requirement to make the middleware world more flexible, agile and automated.
This session focuses on live coding to demonstrate how to develop, deploy and operate cloud-native microservices in the middleware world. The live demos leverage frameworks and tools such as Docker, Kubernetes, Cloud Foundry, Consul, Spring Cloud Config, Eureka and Hystrix.
Original interactive slides here: http://slides.com/yunzhilin/microservices-and-friends#/
A tongue-in-cheek presentation to TrunkPlatform interns 2015.
SCS 4120 - Software Engineering IV
BACHELOR OF SCIENCE HONOURS IN COMPUTER SCIENCE
BACHELOR OF SCIENCE HONOURS IN SOFTWARE ENGINEERING
All in One Place Lecture Notes
Distribution Among Friends Only
All copyrights belong to their respective owners
Viraj Brian Wijesuriya
vbw@ucsc.cmb.ac.lk
Kevin Huang: AWS San Francisco Startup Day, 9/7/17
Architecture: When, how, and if to adopt microservices - Microservices are not for everyone! If you're a small shop, a monolith provides a great amount of value and reduces the complexities involved. However as your company grows, this monolith becomes more difficult to maintain. We’ll look at how microservices allow you to easily deploy and debug atomic pieces of infrastructure which allows for increased velocity in reliable, tested, and consistent deploys. We’ll look into key metrics you can use to identify the right time to begin the transition from monolith to microservices.
Microservices in the Enterprise: A Research Study and Reference ArchitectureJesus Rodriguez
This document presents a research about microservices architectures in the enterprise. The document explores some of the key patterns and technologies relevant to implement microservices solutions in enterprise environments.
In this session, we’ll discuss the benefits of moving from monolithic to micro-services application architectures, and examine where micro-services can be used. We’ll share common transition strategies and relate them to the specifics of e-commerce and retail workloads, using customer examples. You’ll learn how to build micro-services using AWS services, and get a better understanding of the role of data storage, API endpoints and service discovery. Plus, you can learn from the real-life experience of Digital Goodie, an online retailing platform for connected commerce.
We hear a lot about microservices vs. SOA but in reality most companies have both. In this session learn about how you can introduce microservices into your existing infrastructure and where microservices makes the most sense. Topics include how API management and the integration platform help you introduce microservices without the anarchy. See how products such as Oracle API Platform Cloud Service and Oracle Service Bus can be used to support traditional integration styles as well as microservices.
Presented by Luis Weir, Principal, Oracle Ace Director, Capgemini, at Oracle OpenWorld 2016.
Sharing about architecture aspects, technical knowledge and diagram as communication tool and navigation for software architect, stakeholder, operational team and developers
Full lifecycle of a microservice: how to
realize a fault-tolerant and reliable
architecture and deliver it as a Docker
container or in a Cloud environment
This slide deck explores the impact of MSA on API strategies and designs and the possible changes in API design and deployment, API security, control and monitoring, and CI/CD.
Watch recording: https://wso2.com/library/webinars/2018/09/apis-in-a-microservice-architecture
Machine Learning Applied to Real Time Scoring in Manufacturing and Energy Uti...Kai Wähner
Kai Wähner (@KaiWaehner) is a Technology Evangelist and Community Director at TIBCO Software - a leading provider of integration and analytics middleware. Kai is an experience guy in broad variety of topics like Big Data, Advanced Analytics & Machine Learning, he loves to write articles and blog about new technologies and make talks. The talk is about 3 different projects where Kai's team built analytic models with technologies R, Apache Spark or H2O.ai which were deployed to real time processing. The use cases include predictive maintenance in manufacturing but also fraud detection in banking and context-specific pricing in insurance. For one of the cases, Kai gonna show detailed steps will be, how it was built and deployed using supervised/unsupervised ML.
Talk was done together with my colleague Ankitaa Bhowmick.
Microservices Architectures: Become a Unicorn like Netflix, Twitter and Hailogjuljo
Full day workshop about Microservices Architectures, from the basis to advanced topics like Service Discovery, Load Balancing, Fault Tolerance and Centralized Logging.
Many technologies are involved, like Spring Cloud Netflix, Docker, Cloud Foundry and ELK.
A separate deck describes all the lab exercises.
Microservices: Decomposing Applications for Deployability and Scalability (ja...Chris Richardson
Today, there are several trends that are forcing application architectures to evolve. Users expect a rich, interactive and dynamic user experience on a wide variety of clients including mobile devices. Applications must be highly scalable, highly available and run on cloud environments. Organizations often want to frequently roll out updates, even multiple times a day. Consequently, it's no longer adequate to develop simple, monolithic web applications that serve up HTML to desktop browsers.In this talk we describe the limitations of a monolithic architecture. You will learn how to use the scale cube to decompose your application into a set of narrowly focused, independently deployable services. We will also discuss how an event-based approach addresses the key challenges of developing applications with this architecture.
TIBCO BWCE and Netflix' Hystrix Circuit Breaker for Cloud Native Middleware M...Kai Wähner
These slides show how to use TIBCO BusinessWorks Container Edition (BWCE) with Netflix' Hystrix Open Source Implementation of the Design Pattern 'Circuit Breaker' to develop, deploy and monitor cloud native middleware microservices.
Video recording with live demo: https://youtu.be/VL7-T6IIuZk
Find more information about cloud native middleware at https://community.tibco.com/wiki/microservices-containers-and-cloud-native-architectures
Enable rapid service provisioning with cics, microservices and the z/OS Provi...Matthew Webster
Learn how to take advantage of microservices as an architectural pattern from an industry-wide point of view through to CICS. Understand how microservices can help your development team become leaner and more agile, and how they can you help adopt DevOps processes. You'll learn how they're different from other architectural patterns like Service Oriented Architectures (SOA), and why z Systems and CICS are a good fit for them. We'll cover container technologies and see demos of various scenarios using the IBM z/OS Provisioning Toolkit.
[APIdays Paris 2019] API Management in Service Mesh Using Istio and WSO2 API ...WSO2
Stefano discusses how to augment service mesh functionality with API management capabilities, so you can create an end-to-end solution for your entire business functionality — from microservices, to APIs, to end-user applications.
Microservices, Containers, Docker and a Cloud-Native Architecture in the Midd...Kai Wähner
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. Continuous Integration and Continuous Delivery automate deployments. This way you get shorter time to results and increased flexibility. Containers improve these even more offering a very lightweight and flexible deployment option.
In the middleware world, you use concepts and tools such as an Enterprise Service Bus (ESB), Complex Event Processing (CEP), Business Process Management (BPM) or API Gateways. Many people still think about complex, heavyweight central brokers here. However, Microservices and containers are relevant not just for custom self-developed applications, but they are also a key requirement to make the middleware world more flexible, agile and automated.
This session discusses the requirements, best practices and challenges for creating a good Microservices architecture in the middleware world. A live demo with the open source PaaS framework CloudFoundry shows how technologies and frameworks such as Java, SOAP / REST Web Services, Jenkins and Docker are used to create an agile software development lifecycle to realize “Middleware Microservices”. It also discusses other modern cloud-native alternatives such as Kubernetes, Docker, Mesos, Mesosphere or Amazon ECS / AWS.
The Reality of Managing Microservices in Your CD PipelineDevOps.com
As we shift from monolithic software development practices to microservices, our well-designed CD pipeline will need to change. Microservices are small functions, deployed independently and linked via APIs at run-time. While these differences seem minor, they actually have a large impact on your overall CD structure. Think hundreds of workflows, small of any builds and the loss of a monolithic 'application.'
Join Tracy Ragan, CEO of DeployHub and Brendan O'Leary, Developer Evangelist at GitLab, to learn more.
It's never too early to start the conversation.
NGINX, Istio, and the Move to Microservices and Service MeshNGINX, Inc.
On-demand recording: https://www.nginx.com/resources/webinars/istio-move-to-microservices-service-mesh/
About the webinar
NGINX is widely known, used, and trusted for a variety of purposes. NGINX works as a reliable, high-performance web server, reverse proxy server, and load balancer. NGINX is also a widely used microservices hub, an Ingress controller for Kubernetes, and a sidecar proxy in the Istio service mesh.
In this webinar, we’ll describe the move to microservices, the crucial role that NGINX has already played, and a range of architectural options that organizations have for their microservices apps, including three progressively complex models in the NGINX Microservices Reference Architecture. We’ll then introduce the emergence of Kubernetes as a container orchestration framework, the use of service mesh architectures, and the design of Istio. We’ll finish by showing how NGINX Open Source and NGINX Plus can be used as the sidecar proxy in an Istio service mesh, bringing greater reliability and capability to your service mesh application.
Overview of azure microservices and the impact on integrationBizTalk360
On the back of Integrate 2014, Sam Vanhoutte will discuss view on some of the implications of the announcements made at the conference and talk about how this might affect the future for integration professionals
10 Lessons Learned from Building Cloud Native Middleware Microservices. Conference Talk at O'Reilly Software Architecture April 2017 in New York, USA.
Abstract:
Microservices are the next step after SOA: Services implement a limited set of functions; services are developed, deployed, and scaled independently; continuous delivery automates deployments. This way you get shorter time to results and increased flexibility. Containers improve things even more, offering a very lightweight and flexible deployment option.
In the middleware world, you use concepts and tools such as an enterprise service bus (ESB), complex event processing (CEP), business process management (BPM), or API gateways. Many people still think about complex, heavyweight central brokers. However, microservices and containers are not only relevant for custom self-developed applications but are also a key requirement to make the middleware world more flexible, Agile, and automated.
Kai Wähner shares 10 lessons learned from building cloud-native microservices in the middleware world, including the concepts behind cloud native, choosing the right cloud platform, and when not to build microservices at all, and leads a live demo showing how to apply these lessons to real-world projects by leveraging Docker, CloudFoundry, and Kubernetes to realize cloud-native middleware microservices.
Videos / Live Demos:
TIBCO BusinessWorks Container Edition (BWCE) and Mashery with Docker, Kubernetes, CloudFoundry, Consul, Spring Cloud Config:
https://www.youtube.com/watch?v=VISNxgB74Bg
TIBCO BWCE and Netflix' Hystrix Circuit Breaker:
https://www.youtube.com/watch?v=VL7-T6IIuZk
(also on http://www.kai-waehner.de)
Evolving your Architecture to MicroServicesHector Tapia
Once-stable industries are rapidly being disrupted as companies move toward digitalization by embracing software at their core.
Deploying cloud-native application architectures is at the center of how these businesses are fueling their disruptive character.
An introductory presentation and some thoughts on MicroServices
The "whats and whys" of microservices, the minimum requirements for success with them as well as some of more the practical aspects such as devops tooling.
An introduction to Microservices as presented at Ruby.jb meetup.
"The "whats and whys" of microservices, the minimum requirements for success with them as well as some of more the practical aspects such as devops tooling."
[WSO2 API Day Dallas 2019] Extending Service Mesh with API ManagementWSO2
In this deck, we discuss how to augment service mesh functionality with API management capabilities, so you can create an end-to-end solution for your entire business functionality — from microservices to APIs, to end-user applications.
3298 microservices and how they relate to esb api and messaging - inter con...Kim Clark
Explores the myths and realities of microservices in relation to integration architecture, and related advances in IBM's integration portfolio.. Microservices are as much a new approach to application architecture as they are a return to well-known good practices of isolation and decoupling. The complexities are all the more apparent when comparisons are drawn with evolved integration architecture concepts. The "ESB" concept is often derided in microservices architecture. Is the pattern completely invalid or does it still have its place? Messaging is the silent but essential partner that is key to decoupling among microservice components. But what type of messaging should you use where? Where do APIs fit into the picture? What different categories of API are present?
For a long time APIs have largely been an exercise at the edge of complexity. They provide an engaging interface to attract developers, perhaps an underlying platform to monitor their consumption, and a means for those interested in whatever drives our backend to manage that success. That type interaction demands a certain type of interaction. But what happens in a backend world of microservices? Do we really have the same API needs and flexibility concerns at the mesh that we do at the edge and how might we best address these two worlds going forward? I will present the case for edge, the case for the mesh and try to bridge whatever space we have between them: chasm or ditch.
[WSO2 Integration Summit Madrid 2019] Emerging Architecture Patterns: API-cen...WSO2
This deck introduces "cell-based" reference architecture, which is API-centric, cloud-native, and microservices-friendly. Further explains the role of APIs in the cell-based approach, as well as examine how real applications are built as cells. The deck covers metrics and approaches that can be used to measure the effectiveness of the architecture and explore how organizations can implement the cell approach.
Meet us at a city near you - https://wso2.com/integration-summits-2019/
[WSO2 Integration Summit Paris 2019] Emerging Architecture Patterns API-centr...WSO2
This deck introduces "cell-based" reference architecture, which is API-centric, cloud-native, and microservices-friendly. Further explains the role of APIs in the cell-based approach, as well as examine how real applications are built as cells. The deck covers metrics and approaches that can be used to measure the effectiveness of the architecture and explore how organizations can implement the cell approach.
Meet us at a city near you - https://wso2.com/integration-summits-2019/
Similar to How to Choose the Right Technology, Framework or Tool to Build Microservices (20)
Apache Kafka as Data Hub for Crypto, NFT, Metaverse (Beyond the Buzz!)Kai Wähner
Decentralized finance with crypto and NFTs is a huge topic these days. It becomes a powerful combination with the coming metaverse platforms across industries. This session explores the relationship between crypto technologies and modern enterprise architecture.
I discuss how data streaming and Apache Kafka help build innovation and scalable real-time applications of a future metaverse. Let's skip the buzz (and NFT bubble) and instead review existing real-world deployments in the crypto and blockchain world powered by Kafka and its ecosystem.
Apache Kafka is the de facto standard for data streaming to process data in motion. With its significant adoption growth across all industries, I get a very valid question every week: When NOT to use Apache Kafka? What limitations does the event streaming platform have? When does Kafka simply not provide the needed capabilities? How to qualify Kafka out as it is not the right tool for the job?
This session explores the DOs and DONTs. Separate sections explain when to use Kafka, when NOT to use Kafka, and when to MAYBE use Kafka.
No matter if you think about open source Apache Kafka, a cloud service like Confluent Cloud, or another technology using the Kafka protocol like Redpanda or Pulsar, check out this slide deck.
A detailed article about this topic:
https://www.kai-waehner.de/blog/2022/01/04/when-not-to-use-apache-kafka/
Kafka for Live Commerce to Transform the Retail and Shopping MetaverseKai Wähner
Live commerce combines instant purchasing of a featured product and audience participation.
This talk explores the need for real-time data streaming with Apache Kafka between applications to enable live commerce across online stores and brick & mortar stores across regions, countries, and continents in any retail business.
The discussion covers several building blocks of a live commerce enterprise architecture, including transactional data processing, omnichannel, natural language processing, augmented reality, edge computing, and more.
The Heart of the Data Mesh Beats in Real-Time with Apache KafkaKai Wähner
If there were a buzzword of the hour, it would certainly be "data mesh"! This new architectural paradigm unlocks analytic data at scale and enables rapid access to an ever-growing number of distributed domain datasets for various usage scenarios.
As such, the data mesh addresses the most common weaknesses of the traditional centralized data lake or data platform architecture. And the heart of a data mesh infrastructure must be real-time, decoupled, reliable, and scalable.
This presentation explores how Apache Kafka, as an open and scalable decentralized real-time platform, can be the basis of a data mesh infrastructure and - complemented by many other data platforms like a data warehouse, data lake, and lakehouse - solve real business problems.
There is no silver bullet or single technology/product/cloud service for implementing a data mesh. The key outcome of a data mesh architecture is the ability to build data products; with the right tool for the job.
A good data mesh combines data streaming technology like Apache Kafka or Confluent Cloud with cloud-native data warehouse and data lake architectures from Snowflake, Databricks, Google BigQuery, et al.
Apache Kafka vs. Cloud-native iPaaS Integration Platform MiddlewareKai Wähner
Enterprise integration is more challenging than ever before. The IT evolution requires the integration of more and more technologies. Applications are deployed across the edge, hybrid, and multi-cloud architectures. Traditional middleware such as MQ, ETL, ESB does not scale well enough or only processes data in batch instead of real-time.
This presentation explores why Apache Kafka is the new black for integration projects, how Kafka fits into the discussion around cloud-native iPaaS (Integration Platform as a Service) solutions, and why event streaming is a new software category.
A concrete real-world example shows the difference between event streaming and traditional integration platforms respectively cloud-native iPaaS.
Video Recording of this presentation:
https://www.youtube.com/watch?v=I8yZwKg_IJc&t=2842s
Blog post about this topic:
https://www.kai-waehner.de/blog/2021/11/03/apache-kafka-cloud-native-ipaas-versus-mq-etl-esb-middleware/
Data Warehouse vs. Data Lake vs. Data Streaming – Friends, Enemies, Frenemies?Kai Wähner
The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems.
Unfortunately, the underlying technologies are often misunderstood, overused for monolithic and inflexible architectures, and pitched for wrong use cases by vendors. Let’s explore this dilemma in a presentation.
The slides cover technologies such as Apache Kafka, Apache Spark, Confluent, Databricks, Snowflake, Elasticsearch, AWS Redshift, GCP with Google Bigquery, and Azure Synapse.
Serverless Kafka and Spark in a Multi-Cloud Lakehouse ArchitectureKai Wähner
Apache Kafka in conjunction with Apache Spark became the de facto standard for processing and analyzing data. Both frameworks are open, flexible, and scalable.
Unfortunately, the latter makes operations a challenge for many teams. Ideally, teams can use serverless SaaS offerings to focus on business logic. However, hybrid and multi-cloud scenarios require a cloud-native platform that provides automated and elastic tooling to reduce the operations burden.
This session explores different architectures to build serverless Apache Kafka and Apache Spark multi-cloud architectures across regions and continents.
We start from the analytics perspective of a data lake and explore its relation to a fully integrated data streaming layer with Kafka to build a modern data Data Lakehouse.
Real-world use cases show the joint value and explore the benefit of the "delta lake" integration.
Resilient Real-time Data Streaming across the Edge and Hybrid Cloud with Apac...Kai Wähner
Hybrid cloud architectures are the new black for most companies. A cloud-first strategy is evident for many new enterprise architectures, but some use cases require resiliency across edge sites and multiple cloud regions. Data streaming with the Apache Kafka ecosystem is a perfect technology for building resilient and hybrid real-time applications at any scale. This talk explores different architectures and their trade-offs for transactional and analytical workloads. Real-world examples include financial services, retail, and the automotive industry.
Video recording:
https://qconlondon.com/london2022/presentation/resilient-real-time-data-streaming-across-the-edge-and-hybrid-cloud
Data Streaming with Apache Kafka in the Defence and Cybersecurity IndustryKai Wähner
Agenda:
1) Defence, Modern Warfare, and Cybersecurity in 202X
2) Data in Motion with Apache Kafka as Defence Backbone
3) Situational Awareness
4) Threat Intelligence
5) Forensics and AI / Machine Learning
6) Air-Gapped and Zero Trust Environments
7) SIEM / SOAR Modernization
Technologies discussed in the presentation include Apache Kafka, Kafka Streams, kqlDB, Kafka Connect, Elasticsearch, Splunk, IBM QRadar, Zeek, Netflow, PCAP, TensorFlow, AWS, Azure, GCP, Sigma, Confluent Cloud,
Real-World Deployments of Data Streaming with Apache Kafka across the Healthcare Value Chain using open source and cloud-native technologies and serverless SaaS:
1) Legacy Modernization and Hybrid Cloud: Optum (UnitedHealth Group, Centene, Bayer)
2) Streaming ETL (Bayer, Babylon Health)
3) Real-time Analytics (Cerner, Celmatix, CDC/Centers for Disease Control and Prevention)
4) Machine Learning and Data Science (Recursion, Humana)
5) Open API and Omnichannel (Care.com, Invitae)
The Rise of Data in Motion in the Healthcare Industry - Use Cases, Architectures and Examples powered by Apache Kafka.
Use Cases for Data in Motion in the Healthcare Industry:
- Know Your Patient (= “Customer 360”)
- Operations (Healthcare 4.0 including Drug R&D, Patient Care, etc.)
- IT Perspective (Cybersecurity, Mainframe Offload, Hybrid Cloud, Streaming ETL, etc)
Real-world examples include Covid-19 Electronic Lab Reporting, Cerner, Optum, Centene, Humana, Invitae, Bayer, Celmatix, Care.com.
Apache Kafka for Real-time Supply Chainin the Food and Retail IndustryKai Wähner
Use Cases, Architectures, and Real-World Examples for data in motion and real-time event streaming powered by Apache Kafka across the supply chain and logistics. Case studies and deployments include Baader, Walmart, Migros, Albertsons, Domino's Pizza, Instacart, Grab, Royal Caribbean, and more.
Kafka for Real-Time Replication between Edge and Hybrid CloudKai Wähner
Not all workloads allow cloud computing. Low latency, cybersecurity, and cost-efficiency require a suitable combination of edge computing and cloud integration.
This session explores architectures and design patterns for software and hardware considerations to deploy hybrid data streaming with Apache Kafka anywhere. A live demo shows data synchronization from the edge to the public cloud across continents with Kafka on Hivecell and Confluent Cloud.
Apache Kafka for Predictive Maintenance in Industrial IoT / Industry 4.0Kai Wähner
The manufacturing industry is moving away from just selling machinery, devices, and other hardware. Software and services increase revenue and margins. Equipment-as-a-Service (EaaS) even outsources the maintenance to the vendor.
This paradigm shift is only possible with reliable and scalable real-time data processing leveraging an event streaming platform such as Apache Kafka. This talk explores how Kafka-native Condition Monitoring and Predictive Maintenance help with this innovation.
More details:
https://www.kai-waehner.de/blog/2021/10/25/apache-kafka-condition-monitoring-predictive-maintenance-industrial-iot-digital-twin/
Video recording:
https://youtu.be/tfOuN5KeI9w
Apache Kafka Landscape for Automotive and ManufacturingKai Wähner
Today, in 2022, Apache Kafka is the central nervous system of many applications in various areas related to the automotive and manufacturing industry for processing analytical and transactional data in motion across edge, hybrid, and multi-cloud deployments.
This presentation explores the automotive event streaming landscape, including connected vehicles, smart manufacturing, supply chain optimization, aftersales, mobility services, and innovative new business models.
Afterwards, many real-world examples are shown from companies such as Audi, BMW, Porsche, Tesla, Uber, Grab, and FREENOW.
More detail in the blog post:
https://www.kai-waehner.de/blog/2022/01/12/apache-kafka-landscape-for-automotive-and-manufacturing/
Kappa vs Lambda Architectures and Technology ComparisonKai Wähner
Real-time data beats slow data. That’s true for almost every use case. Nevertheless, enterprise architects build new infrastructures with the Lambda architecture that includes separate batch and real-time layers.
This video explores why a single real-time pipeline, called Kappa architecture, is the better fit for many enterprise architectures. Real-world examples from companies such as Disney, Shopify, Uber, and Twitter explore the benefits of Kappa but also show how batch processing fits into this discussion positively without the need for a Lambda architecture.
The main focus of the discussion is on Apache Kafka (and its ecosystem) as the de facto standard for event streaming to process data in motion (the key concept of Kappa), but the video also compares various technologies and vendors such as Confluent, Cloudera, IBM Red Hat, Apache Flink, Apache Pulsar, AWS Kinesis, Amazon MSK, Azure Event Hubs, Google Pub Sub, and more.
Video recording of this presentation:
https://youtu.be/j7D29eyysDw
Further reading:
https://www.kai-waehner.de/blog/2021/09/23/real-time-kappa-architecture-mainstream-replacing-batch-lambda/
https://www.kai-waehner.de/blog/2021/04/20/comparison-open-source-apache-kafka-vs-confluent-cloudera-red-hat-amazon-msk-cloud/
https://www.kai-waehner.de/blog/2021/05/09/kafka-api-de-facto-standard-event-streaming-like-amazon-s3-object-storage/
The Top 5 Apache Kafka Use Cases and Architectures in 2022Kai Wähner
I see the following topics coming up more regularly in conversations with customers, prospects, and the broader Kafka community across the globe:
Kappa Architecture: Kappa goes mainstream to replace Lambda and Batch pipelines (that does not mean that there is no batch processing anymore). Examples: Kafka-powered Kappa architectures from Uber, Disney, Shopify, and Twitter.
Hyper-personalized Omnichannel: Retail and customer communication across online and offline channels becomes the new black, including context-specific upselling, recommendations, and location-based services. Examples: Omnichannel Retail and Customer 360 in Real-Time with Apache Kafka.
Multi-Cloud Deployments: Business units and IT infrastructures span across regions, continents, and cloud providers. Linking clusters for bi-directional replication of data in real-time becomes crucial for many business models. Examples: Global Kafka deployments.
Edge Analytics: Low latency requirements, cost efficiency, or security requirements enforce the deployment of (some) event streaming use cases at the far edge (i.e., outside a data center), for instance, for predictive maintenance and quality assurance on the shop floor level in smart factories. Examples: Edge analytics with Kafka.
Real-time Cybersecurity: Situational awareness and threat intelligence need to process massive data in real-time to defend against cyberattacks successfully. The many successful ransomware attacks across the globe in 2021 were a warning for most CIOs. Examples: Cybersecurity for situational awareness and threat intelligence in real-time.
Event Streaming CTO Roundtable for Cloud-native Kafka ArchitecturesKai Wähner
Technical thought leadership presentation to discuss how leading organizations move to real-time architecture to support business growth and enhance customer experience. This is a forum to discuss use cases with your peers to understand how other digital-native companies are utilizing data in motion to drive competitive advantage.
Agenda:
- Data in Motion with Event Streaming and Apache Kafka
- Streaming ETL Pipelines
- IT Modernisation and Hybrid Multi-Cloud
- Customer Experience and Customer 360
- IoT and Big Data Processing
- Machine Learning and Analytics
Apache Kafka in the Public Sector (Government, National Security, Citizen Ser...Kai Wähner
The Rise of Data in Motion in the Public Sector powered by event streaming with Apache Kafka.
Citizen Services:
- Health services, e.g. hospital modernization, track & trace - Covid distance control
- Public administration - reduce bureaucracy, data democratization across government departments
- eGovernment - Efficient and digital citizen engagement, e.g. personal ID application process
Smart City
- Smart driving, parking, buildings, environment
Waste management
- Open exchange – e.g. mobility services (1st and 3rd party)
Energy
- Smart grid and utilities infrastructure (energy distribution, smart home, smart meters, smart water, etc.)
- National Security
Law enforcement, surveillance, police/interior security data exchange
- Defense and military (border control, intelligent solider)
Cybersecurity for situational awareness and threat intelligence
Telco 4.0 - Payment and FinServ Integration for Data in Motion with 5G and Ap...Kai Wähner
The Era of Telco 4.0: Embracing Digital Transformation with Data in Motion. Learn about Payment and FinServ Integration for Data in Motion with 5G and Apache Kafka.
1) The rise of Telco 4.0 and the future forward
2) Data in Motion in the Telco industry
3) Real-world Fintech and Payment examples powered by Data in Motion
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
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
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
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
How to Choose the Right Technology, Framework or Tool to Build Microservices
1. How to choose the right Technology,
Framework or Tool to Build Microservices
Kai Wähner
kwaehner@tibco.com
@KaiWaehner
www.kai-waehner.de
Xing / LinkedIn Please connect!