The document discusses reactive programming and event-driven architectures using Apache Kafka. It introduces reactive concepts like message-driven systems and asynchronous programming. It then explains how Kafka can provide resilience, elasticity, and scalability for reactive systems through features like durable storage, partitioning, and consumer groups. Finally, it discusses several reactive frameworks that can be used to build Kafka applications, including Reactor Kafka, MicroProfile Reactive Messaging, Alpakka Kafka Connector, and Vert.x Kafka Client.
GIDS Architecture Live: Reacting to an event-driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
Jfokus - Reacting to an event-driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
JSpring Virtual 2020 - Reacting to an event-driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
DevNexus - Reacting to an event driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
Virtual Meetup Sweden - Reacting to an event driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
JavaBin: Reacting to an event driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
VMware Cloud on AWS The Fast Path to a Hybrid Cloud for Public Sector Organis...Amazon Web Services
Organisations are rapidly adopting hybrid cloud strategies to take advantage of both on premises and cloud services. Moving applications to the cloud can now be greatly accelerated using VMware’s solutions, saving both time and effort. Customers around the world have already completed successful migrations of hundreds of applications to the cloud in a few weeks, sometimes days. They've simplified their day two operations by providing consistent infrastructure and operations across on premises and AWS Cloud services. Find out how we’re helping organisations migrate applications, extend their data centers to the cloud, deploy cloud-based disaster recovery solutions, and modernise their applications with the power of VMware and AWS Cloud
Presenter: Palaseri Sujith, Head of Sales Engineering and Head of VMware Cloud Services, VMware
VMware Cloud on AWS brings a new dimension of mixed application architecture offering the opportunity to augment existing and legacy applications to the AWS Cloud. Learn how VMware Cloud on AWS helps accelerate your workload migration to cloud with minimal disruption to the business, and offer an iterative cloud transformation approach to your traditional on-premises applications. We will discuss how to modernize and scale your workload by integrating AWS Cloud services. This session helps you bring the entire IT landscape closer to your digital innovation goals and you can hear from one of our customers – Cenitex who will talk about their hybrid cloud journey.
Speakers: David Lim, APJ - Head of VMware Cloud on AWS, AWS and Nav Pillai, Director of Digital Transformation, Cenitex
GIDS Architecture Live: Reacting to an event-driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
Jfokus - Reacting to an event-driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
JSpring Virtual 2020 - Reacting to an event-driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
DevNexus - Reacting to an event driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
Virtual Meetup Sweden - Reacting to an event driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
JavaBin: Reacting to an event driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
VMware Cloud on AWS The Fast Path to a Hybrid Cloud for Public Sector Organis...Amazon Web Services
Organisations are rapidly adopting hybrid cloud strategies to take advantage of both on premises and cloud services. Moving applications to the cloud can now be greatly accelerated using VMware’s solutions, saving both time and effort. Customers around the world have already completed successful migrations of hundreds of applications to the cloud in a few weeks, sometimes days. They've simplified their day two operations by providing consistent infrastructure and operations across on premises and AWS Cloud services. Find out how we’re helping organisations migrate applications, extend their data centers to the cloud, deploy cloud-based disaster recovery solutions, and modernise their applications with the power of VMware and AWS Cloud
Presenter: Palaseri Sujith, Head of Sales Engineering and Head of VMware Cloud Services, VMware
VMware Cloud on AWS brings a new dimension of mixed application architecture offering the opportunity to augment existing and legacy applications to the AWS Cloud. Learn how VMware Cloud on AWS helps accelerate your workload migration to cloud with minimal disruption to the business, and offer an iterative cloud transformation approach to your traditional on-premises applications. We will discuss how to modernize and scale your workload by integrating AWS Cloud services. This session helps you bring the entire IT landscape closer to your digital innovation goals and you can hear from one of our customers – Cenitex who will talk about their hybrid cloud journey.
Speakers: David Lim, APJ - Head of VMware Cloud on AWS, AWS and Nav Pillai, Director of Digital Transformation, Cenitex
IBM Think 2020 Openshift on IBM Z and LinuxONEFilipe Miranda
IBM Think 2020 - Openshift on IBM Z and LinuxONE
#mainframe #openshift #kubernetes #modernization #ibm #devops #openshift4 #redhatopenshift #redhat #ibmz #linuxone #ibmer
Manual testing got you down? It's time to step into the application economy and get rid of slow, sloppy and ineffective testing methods. Learn from this introductory presentation what's new and how CA Application Test can expand test scenarios and allow reuse of test assets to catch defects earlier in the SDLC. Learn how to build portable, executable test cases that are easy to extend, modify and maintain.
For more information, please visit http://cainc.to/Nv2VOe
CA Service Virtualization 9.0—What's the Latest and GreatestCA Technologies
Come explore at this technical, pre-conference session the latest and greatest CA Service Virtualization 9.0 features and functionality that are being launched here at CA World '15. If you want a deep dive of what are the new features and how they work with other parts of our DevTest portfolio, this is the session for you. Be the first to have a sneak peak at the latest and greatest features in our major release of CA Service Virtualization 9.0.
For more information, please visit http://cainc.to/Nv2VOe
With AppFog, PaaS has finally come to the enterprise in a way that can easily be consumed by CIOs, CTOs, CMOs, as well as the developers who already use and love it. See the slides from this December 2012 presentation by AppFog CEO and Founder, Lucas Carlson.
The explosion of APIs, SaaS applications, and mobile devices has created a massive integration wave. The resulting shift in the way we connect is forcing an IT mega change unlike anything we've seen before. As the development model moves from writing lots of code to composing APIs together, a new generation of middle tier application architecture is being born.
Maximizing Your CA IDMS™ Investment for the New Application Economy (Part 1)CA Technologies
Make sure your CA IDMS™ mainframe database is being used to the fullest, and optimized to maximize your investment. Join us to hear about a number of modernization enhancements that help to improve performance, scalability, platform support, standards compliance and usability. This interactive technical education is for customers who have recently upgraded, currently upgrading or considering upgrading to the most current product releases. We will discuss the most impactful enhancements and best practices so you can immediately begin using these recommended features with confidence to help improve your CA IDMS operations today. For more information, please visit http://cainc.to/Nv2VOe
Give Me the Bad News Straight: Why Models are a Broken Approach to AlertingCA Technologies
The industry standard approach to automatic alerts is to create models from baselining application latencies. But when something goes wrong, is it because something is really broken or because the model was incorrect? Training the model to avoid mistakes is complex and time-intensive. CA Application Performance Management (CA APM) 10 replaces the whole approach with a brand new one: react to changes in application stability as they occur. Outliers are automatically ignored, while tremors in latency register progressively bigger values for the intensity of an event, a little like the Richter scale for earthquakes. Join the discussion and learn how CA APM transforms automatic alerting. Seating is limited and available first come-first served. For more information, please visit http://cainc.to/Nv2VOe
Tech Talk: Introduction to SDN/NFV Assurance (CA Virtual Network Assurance)CA Technologies
When Network Ops teams can point and click to deploy new services in minutes, across heterogeneous platforms—agile operations is truly realized. This is the promise of software-defined networking (SDN) and network functions virtualization (NFV). But this next-gen technology brings with it complexity and management headaches never seen before. As a IT management leader, CA Technologies understands the highly complex and dynamic SDN/NFV stack and introduces. The solution provides a bridge to migrate existing Infrastructure Management systems to meet the needs of SDN and NFV network velocity for reliable self-service and automation. This is a must-attend session for CACA Virtual Network Assurance Performance Management and/or CA Spectrum® users with current or future SDN/NFV initiatives.
For more information, please visit http://cainc.to/Nv2VOe
Tech Talk: Leverage the combined power of CA Unified Infrastructure Managemen...CA Technologies
Take the guesswork out of your infrastructure environment by combining CA Unified Infrastructure Management, CA Network Flow Analysis and CA Application Delivery Analysis. Learn how to optimize your infrastructure by combining IT monitoring, network traffic monitoring and application response time monitoring solutions to give you enhanced end-to-end visibility into your infrastructure. This sessions will review the power of the three solutions and explain how you can easily combine them to give you the information you need.
For more information, please visit http://cainc.to/Nv2VOe
IBM JavaOne Community Keynote 2015: Cask Strength Java Aged 20 yearsJohn Duimovich
IBM's Community Keynote.
Duimovich will speak on “Cask Strength Java, Aged 20 years.” John along with his guest, Tim Vanderham, VP, Cloud Platform Services Development, will look back on the history of Java and how we got here, then look ahead to where the platform is going for the next 20 - exploring how Java fits into the cloud platforms of the future, integrating with polyglot, cloud services on a developer friendly open platform.
Corporations increasingly rely on their enterprise services bus (ESB) as the communication center to link multiple IT systems, applications and data. Unfortunately, when something goes wrong in the ESB it can have a cascading affect and impact critical applications using ESB services. Determining the root cause of the problem is a challenge for most IT organizations because ESBs appear as a ‘black box,’ providing little insight into the cause of performance problems. Join us to learn how you can use Nastel AutoPilot for WebSphere MQ and CA Cross-Enterprise APM to prevent and resolve performance issues for applications communicating across your ESB, before they impact your users.
For more information, please visit http://cainc.to/Nv2VOe
JLove conference 2020 - Reacting to an Event-Driven WorldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
Reacting to an Event-Driven World (Kate Stanley & Grace Jansen, IBM) Kafka Su...confluent
Developers are quickly moving to having Apache Kafka and events at the heart of their architecture. But how do you make sure your applications are resilient to the fluctuating load that comes with a never-ending stream of events? The Reactive Manifesto provides a good starting point for these kinds of problems. In this session explore how Kafka and reactive application architecture can be combined to better handle our modern event-streaming needs. We will explain why reactive applications are a great fit for Kafka and show an example of how to write a reactive producer and consumer.
IBM Think 2020 Openshift on IBM Z and LinuxONEFilipe Miranda
IBM Think 2020 - Openshift on IBM Z and LinuxONE
#mainframe #openshift #kubernetes #modernization #ibm #devops #openshift4 #redhatopenshift #redhat #ibmz #linuxone #ibmer
Manual testing got you down? It's time to step into the application economy and get rid of slow, sloppy and ineffective testing methods. Learn from this introductory presentation what's new and how CA Application Test can expand test scenarios and allow reuse of test assets to catch defects earlier in the SDLC. Learn how to build portable, executable test cases that are easy to extend, modify and maintain.
For more information, please visit http://cainc.to/Nv2VOe
CA Service Virtualization 9.0—What's the Latest and GreatestCA Technologies
Come explore at this technical, pre-conference session the latest and greatest CA Service Virtualization 9.0 features and functionality that are being launched here at CA World '15. If you want a deep dive of what are the new features and how they work with other parts of our DevTest portfolio, this is the session for you. Be the first to have a sneak peak at the latest and greatest features in our major release of CA Service Virtualization 9.0.
For more information, please visit http://cainc.to/Nv2VOe
With AppFog, PaaS has finally come to the enterprise in a way that can easily be consumed by CIOs, CTOs, CMOs, as well as the developers who already use and love it. See the slides from this December 2012 presentation by AppFog CEO and Founder, Lucas Carlson.
The explosion of APIs, SaaS applications, and mobile devices has created a massive integration wave. The resulting shift in the way we connect is forcing an IT mega change unlike anything we've seen before. As the development model moves from writing lots of code to composing APIs together, a new generation of middle tier application architecture is being born.
Maximizing Your CA IDMS™ Investment for the New Application Economy (Part 1)CA Technologies
Make sure your CA IDMS™ mainframe database is being used to the fullest, and optimized to maximize your investment. Join us to hear about a number of modernization enhancements that help to improve performance, scalability, platform support, standards compliance and usability. This interactive technical education is for customers who have recently upgraded, currently upgrading or considering upgrading to the most current product releases. We will discuss the most impactful enhancements and best practices so you can immediately begin using these recommended features with confidence to help improve your CA IDMS operations today. For more information, please visit http://cainc.to/Nv2VOe
Give Me the Bad News Straight: Why Models are a Broken Approach to AlertingCA Technologies
The industry standard approach to automatic alerts is to create models from baselining application latencies. But when something goes wrong, is it because something is really broken or because the model was incorrect? Training the model to avoid mistakes is complex and time-intensive. CA Application Performance Management (CA APM) 10 replaces the whole approach with a brand new one: react to changes in application stability as they occur. Outliers are automatically ignored, while tremors in latency register progressively bigger values for the intensity of an event, a little like the Richter scale for earthquakes. Join the discussion and learn how CA APM transforms automatic alerting. Seating is limited and available first come-first served. For more information, please visit http://cainc.to/Nv2VOe
Tech Talk: Introduction to SDN/NFV Assurance (CA Virtual Network Assurance)CA Technologies
When Network Ops teams can point and click to deploy new services in minutes, across heterogeneous platforms—agile operations is truly realized. This is the promise of software-defined networking (SDN) and network functions virtualization (NFV). But this next-gen technology brings with it complexity and management headaches never seen before. As a IT management leader, CA Technologies understands the highly complex and dynamic SDN/NFV stack and introduces. The solution provides a bridge to migrate existing Infrastructure Management systems to meet the needs of SDN and NFV network velocity for reliable self-service and automation. This is a must-attend session for CACA Virtual Network Assurance Performance Management and/or CA Spectrum® users with current or future SDN/NFV initiatives.
For more information, please visit http://cainc.to/Nv2VOe
Tech Talk: Leverage the combined power of CA Unified Infrastructure Managemen...CA Technologies
Take the guesswork out of your infrastructure environment by combining CA Unified Infrastructure Management, CA Network Flow Analysis and CA Application Delivery Analysis. Learn how to optimize your infrastructure by combining IT monitoring, network traffic monitoring and application response time monitoring solutions to give you enhanced end-to-end visibility into your infrastructure. This sessions will review the power of the three solutions and explain how you can easily combine them to give you the information you need.
For more information, please visit http://cainc.to/Nv2VOe
IBM JavaOne Community Keynote 2015: Cask Strength Java Aged 20 yearsJohn Duimovich
IBM's Community Keynote.
Duimovich will speak on “Cask Strength Java, Aged 20 years.” John along with his guest, Tim Vanderham, VP, Cloud Platform Services Development, will look back on the history of Java and how we got here, then look ahead to where the platform is going for the next 20 - exploring how Java fits into the cloud platforms of the future, integrating with polyglot, cloud services on a developer friendly open platform.
Corporations increasingly rely on their enterprise services bus (ESB) as the communication center to link multiple IT systems, applications and data. Unfortunately, when something goes wrong in the ESB it can have a cascading affect and impact critical applications using ESB services. Determining the root cause of the problem is a challenge for most IT organizations because ESBs appear as a ‘black box,’ providing little insight into the cause of performance problems. Join us to learn how you can use Nastel AutoPilot for WebSphere MQ and CA Cross-Enterprise APM to prevent and resolve performance issues for applications communicating across your ESB, before they impact your users.
For more information, please visit http://cainc.to/Nv2VOe
JLove conference 2020 - Reacting to an Event-Driven WorldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
Reacting to an Event-Driven World (Kate Stanley & Grace Jansen, IBM) Kafka Su...confluent
Developers are quickly moving to having Apache Kafka and events at the heart of their architecture. But how do you make sure your applications are resilient to the fluctuating load that comes with a never-ending stream of events? The Reactive Manifesto provides a good starting point for these kinds of problems. In this session explore how Kafka and reactive application architecture can be combined to better handle our modern event-streaming needs. We will explain why reactive applications are a great fit for Kafka and show an example of how to write a reactive producer and consumer.
Developer Week - Reacting to an event-driven worldGrace Jansen
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.
AWS Accra Meetup - Developing Modern Applications in the CloudCobus Bernard
In this talk, we will go over what modern services look like when built for the Cloud and the evolution from the monolith to microservices. It will cover the attributes of a cloud application and why each of the 6 main ones are important. To wrap up the discussion, we will look at why service meshes are popping up everywhere and take a look at what Envoy and AWS AppMesh help solve.
[CPT DevOps Meetup] Developing Modern Applications in the CloudCobus Bernard
Covers the evolution from monoliths to microservices, the properties of modern cloud applications and why we need service meshes. Takes a closer look at Envoy and how AWS AppMesh can provide a managed service mesh.
AWS Jozi Meetup Developing Modern Applications in the CloudCobus Bernard
In this talk, we will go over what modern services look like when built for the Cloud and the evolution from the monolith to microservices. It will cover the attributes of a cloud application and why each of the 6 main ones are important. To wrap up the discussion, we will look at why service meshes are popping up everywhere and take a look at what Envoy and AWS AppMesh help solve.
How can you accelerate the delivery of new, high-quality services? How can you be able to experiment and get feedback quickly from your customers? To get the most out of the agility afforded by serverless and containers, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features. In this talk, we demonstrate how developers can build effective CI/CD release workflows to manage their serverless or containerized deployments on AWS. We cover infrastructure-as-code (IaC) application models, such as AWS Serverless Application Model (AWS SAM) and new imperative IaC tools. We also demonstrate how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we show you how to automate safer deployments with AWS CodeDeploy.
App modernization on AWS with Apache Kafka and Confluent CloudKai Wähner
Presentation from AWS ReInvent 2020.
Learn how you can accelerate application modernization and benefit from the open-source Apache Kafka ecosystem by connecting your legacy, on-premises systems to the cloud. In this session, hear real customer stories about timely insights gained from event-driven applications built on an event streaming platform from Confluent Cloud running on AWS, which stores and processes historical data and real-time data streams. Confluent makes Apache Kafka enterprise-ready using infinite Kafka storage with Amazon S3 and multiple private networking options including AWS PrivateLink, along with self-managed encryption keys for storage volume encryption with AWS Key Management Service (AWS KMS).
TechTalk: Accelerate Mobile Development using SDKs and Open APIs With CA API ...CA Technologies
As a mobile developer, you understand the pressure to deliver apps faster and of higher quality. Developer solutions must simplify the complexity of creating a great user experience by providing mobile security, interactivity and backend integration with developer-friendly interfaces and APIs. This session steps through the new mobile app services solutions from CA.
For more information, please visit http://cainc.to/Nv2VOe
How can you accelerate the delivery of new, high-quality services? How can you be able to experiment and get feedback quickly from your customers? To get the most out of the agility afforded by serverless and containers, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features. In this talk, we demonstrate how developers can build effective CI/CD release workflows to manage their serverless or containerized deployments on AWS. We cover infrastructure-as-code (IaC) application models, such as AWS Serverless Application Model (AWS SAM) and new imperative IaC tools. We also demonstrate how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we show you how to automate safer deployments with AWS CodeDeploy.
Modern Application Development for StartupsDonnie Prakoso
Startups are increasingly building products that are heavily influenced by technology and to be more competitive, startups must create better products by increasing agility. Modern application development is an approach to increase the agility of your teams and the reliability, security, and scalability of your applications. Join us in this session to understand fundamental aspects for your startup to do rapid innovation.
Multi-Cloud Load Balancing 101 and Hands-On LabAvi Networks
Sign up for the next one here https://info.avinetworks.com/workshops
Part 1 (30 mins): A virtual workshop to showcase the dramatic shift in modern load balancing.
Part 2 (1 hour): Experience our hands-on lab environment and explore Avi Networks use cases.
During the workshop, you'll learn from an expert:
- Why a new way of software-defined application delivery is needed
- What the architecture should be for modern load balancing and application services
- How to create highly automated and consistent deployments across data centers and public clouds
- How to troubleshoot and garner application insights without TCPdumps
Running Kafka in Kubernetes: A Practical Guide (Katherine Stanley, IBM United...confluent
The rise of Apache Kafka as the de facto standard for event streaming has coincided with the rise of Kubernetes for cloud-native applications. While Kubernetes is a great choice for any distributed system, that doesn’t mean it is easy to deploy and maintain a Kafka cluster running on it. At IBM we have hands-on experience with running Kafka in Kubernetes and in this session I will share our top tips for a smooth ride. I will show an example deployment of Kafka on Kubernetes and step through the system to explain the common pitfalls and how to avoid them. This will include the Kubernetes objects to use, resource considerations and connecting applications to the cluster. Finally, I will discuss useful Kafka metrics to include in Kubernetes liveness and readiness probes.
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Building Event-Driven Workflows with Knative and TektonLeon Stigter
As Kubernetes and micro-services have gained widespread adoption in the enterprise developer community, event-driven architectures have become the standard way to build and deploy new applications. Knative and Tekton are two Kubernetes-native technologies that make it easier than ever for developers to get started: Knative as a platform to build event-driven applications and Tekton to continuously deploy them. In this workshop you will get hands-on with Knative and Tekton to:
Set up a Kubernetes cluster using KinD
Deploy Knative, Octant, and Tekton and configure those services to work with your new cluster
Deploy services using both Knative serving and eventing
Build event-driven pipelines to deploy your services using Tekton
Pivotal Cloud Foundry: A Technical OverviewVMware Tanzu
"Do your teams release software to production weekly, daily or every hour ? Do you practice software development with tools, process and culture that can respond to the speed of market and customer changes? Agility allows you to experiment with new business models, learn from your mistakes and identify patterns that work. Deliver faster, look for feedback, gain knowledge. In every market, speed wins.
Cloud Native describes the patterns of high performing organizations delivering software faster, consistently and reliably at scale. Continuous delivery, DevOps, and microservices label the why, how and what of the cloud natives, the true digital enterprises."
Speaker: Vijay Rajagopal, Advisory Platform Architect, Pivotal
Similar to VJUG - Reacting to an event driven world (20)
For Java developers, the Just-In-Time (JIT) compiler is key to improved performance. However, in a container world, the performance gains are often negated due to CPU and memory consumption constraints. To help solve this issue, the Eclipse OpenJ9 JVM provides JITServer technology, which separates the JIT compiler from the application. JITServer allows the user to employ much smaller containers enabling a higher density of applications, resulting in cost savings for end-users and/or cloud providers. Because the CPU and memory surges due to JIT compilation are eliminated, the user has a much easier task of provisioning resources for his/her application. Additional advantages include: faster ramp-up time, better control over resources devoted to compilation, increased reliability (JIT compiler bugs no longer crash the application) and amortization of compilation costs across many application instances. We will dig into JITServer technology, showing the challenges of implementation, detailing its strengths and weaknesses and illustrating its performance characteristics. For the cloud audience we will show how it can be deployed in containers, demonstrate its advantages compared to a traditional JIT compilation technique and offer practical recommendations about when to use this technology.
Enabling applications to really thrive (and not just survive) in cloud environments can be challenging. The original 12 factor app methodology helped to lay out some of the key characteristics needed for cloud-native applications... but... as our cloud infrastructure and tooling has progressed, so too have these factors.
In this session we'll dive into the extended and updated 15 factors needed to build cloud native applications that are able to thrive in this environment, and we'll take a look at open source technologies and tools that can help us achieve this.
SwissJUG_Bringing the cloud back down to earth.pptxGrace Jansen
How can we effectively develop for the cloud, when we as developers are coding back down on earth? This is where effective cloud-native developer tools can enable us to either be transported into the cloud or alternatively, to bring the cloud back down to earth. But what tools should we be using for this? In this session, we’ll explore some of the useful OSS tools and technologies that can used by developers to effectively develop, design and test cloud-native Java applications.
Our cloud-native environments are more complex than ever before! So how can we ensure that the applications we’re deploying to them are behaving as we intended them to? This is where effective observability is crucial. It enables us to monitor our applications in real-time and analyse and diagnose their behaviour in the cloud. However, until recently, we were lacking the standardization to ensure our observability solutions were applicable across different platforms and technologies. In this session, we’ll delve into what effective observability really means, exploring open source technologies and specifications, like OpenTelemetry, that can help us to achieve this while ensuring our applications remain flexible and portable.
PittsburgJUG_Cloud-Native Dev Tools: Bringing the cloud back to earthGrace Jansen
How can we effectively develop for the cloud, when we as developers are coding back down on earth? This is where effective cloud-native developer tools can enable us to either be transported into the cloud or alternatively, to bring the cloud back down to earth. But what tools should we be using for this? In this session, we’ll explore some of the useful OSS tools and technologies that can used by developers to effectively develop, design and test cloud-native Java applications.
For Java developers, the Just-In-Time (JIT) compiler is key to improved performance. However, in a container world, the performance gains are often negated due to CPU and memory consumption constraints. To help solve this issue, the Eclipse OpenJ9 JVM provides JITServer technology, which separates the JIT compiler from the application.
JITServer allows the user to employ much smaller containers enabling a higher density of applications, resulting in cost savings for end-users and/or cloud providers. Because the CPU and memory surges due to JIT compilation are eliminated, the user has a much easier task of provisioning resources for his/her application. Additional advantages include: faster ramp-up time, better control over resources devoted to compilation, increased reliability (JIT compiler bugs no longer crash the application) and amortization of compilation costs across many application instances.
We will dig into JITServer technology, showing the challenges of implementation, detailing its strengths and weaknesses and illustrating its performance characteristics. For the cloud audience we will show how it can be deployed in containers, demonstrate its advantages compared to a traditional JIT compilation technique and offer practical recommendations about when to use this technology.
Imagine a Java application that can start up in milliseconds, without compromising on throughput, memory, development-production parity or Java language features. Sounds out of this world, right? Well, through the use of technologies like CRIU support in Eclipse OpenJ9 and Liberty’s InstantOn, we’ve taken one giant leap forwards for innovation within Java, offering exactly this! Join this session to learn more about these innovations and how you could utilise OSS technologies to deliver highly scalable and performant applications that are optimized for today’s cloud-native environments.
Jfokus_Bringing the cloud back down to earth.pptxGrace Jansen
How can we effectively develop for the cloud, when we as developers are coding back down on earth? This is where effective cloud-native developer tools can enable us to either be transported into the cloud or alternatively, to bring the cloud back down to earth. But what tools should we be using for this? In this session, we’ll explore some of the useful OSS tools and technologies that can used by developers to effectively develop, design and test cloud-native Java applications.
FooConf23_Bringing the cloud back down to earth.pptxGrace Jansen
How can we effectively develop for the cloud, when we as developers are coding back down on earth? This is where effective cloud-native developer tools can enable us to either be transported into the cloud or alternatively, to bring the cloud back down to earth. But what tools should we be using for this? In this session, we’ll explore some of the useful OSS tools and technologies that can used by developers to effectively develop, design and test cloud-native Java applications.
How does one choose to architect a system that has a Microservice / REST API endpoints? There are many solutions out there. Some are better than others. Should state be held in a server side component, or externally? Generally we are told this is not a good practice for a Cloud Native system, when the 12-factor guidelines seem to be all about stateless containers, but is it? It’s unclear and this confusion may lead to poor technology stack choices that are impossible or extremely hard to change later on as your system evolves in terms of demand and performance.
While stateless systems are easier to work with, the reality is that we live in a stateful world, so we have to handle the state of data accordingly to ensure data integrity beyond securing it.
We will examine and demonstrate the fundamentals of a Cloud Native system with Stateful Microservices that’s built with Open Liberty and MicroProfile.
UtrechtJUG_Exploring statefulmicroservices in a cloud-native world.pptxGrace Jansen
How does one choose to architect a system that has a Microservice / REST API endpoints? There are many solutions out there. Some are better than others. Should state be held in a server side component, or externally? Generally we are told this is not a good practice for a Cloud Native system, when the 12-factor guidelines seem to be all about stateless containers, but is it? It’s unclear and this confusion may lead to poor technology stack choices that are impossible or extremely hard to change later on as your system evolves in terms of demand and performance.
While stateless systems are easier to work with, the reality is that we live in a stateful world, so we have to handle the state of data accordingly to ensure data integrity beyond securing it.
We will examine and demonstrate the fundamentals of a Cloud Native system with Stateful Microservices that’s built with Open Liberty and MicroProfile.
JCON_Adressing the transaction challenge in a cloud-native world.pptxGrace Jansen
With microservices comes great benefits but also great challenges! One such challenge is data consistency and integrity. Traditionally, tightly coupled transactions were used to ensure strong consistency and isolation. However, this results in strong coupling between services due to data locking and decreasing concurrency, both of which are unsuitable for microservices. So, how do we provide consistency guarantees for flows that span long periods of time in cloud-native applications? We'll address this challenge by investigating the Saga pattern for distributed transactions, the MicroProfile Long Running Action (LRA) specification and how these can be used to develop effective cloud-native Java microservices.
JavaZone_Addressing the transaction challenge in a cloud-native world.pptxGrace Jansen
With microservices comes great benefits but also great challenges! One such challenge is data consistency and integrity. Traditionally, tightly coupled transactions were used to ensure strong consistency and isolation. However, this results in strong coupling between services due to data locking and decreasing concurrency, both of which are unsuitable for microservices. So, how do we provide consistency guarantees for flows that span long periods of time in cloud-native applications? We'll address this challenge by investigating the Saga pattern for distributed transactions, the MicroProfile Long Running Action (LRA) specification and how these can be used to develop effective cloud-native Java microservices.
JavaZone_Mother Nature vs Java – the security face off.pptxGrace Jansen
Mother Nature has had millennia to build up its defences to the many potential hazards and attacks it may face. So, given its wisdom and expertise on this subject, what can we as software developers learn from it and bring back to the evolution of our own application’s security? In this session we’ll explore where software and biology overlap when it comes to security and lessons we can learn from nature to improve our own application security.
Boost developer productivity with EE, MP and OL (Devoxx Ukraine 22).pptxGrace Jansen
As developers we strive to iteratively and rapidly develop our applications. However, development is often slowed by the process of setting up a new project to use the latest APIs, building the application, deploying to a local or container environment, and testing. In this session we will look at key pain points faced by cloud-native Java developers and present helpful APIs and tools so that as developer you can focus on what really matters - your code.
Addressing the transaction challenge in a cloud-native world Devoxx Ukraine 2022Grace Jansen
With microservices comes great benefits but also great challenges! One such challenge is data consistency and integrity. Traditionally, tightly coupled transactions were used to ensure strong consistency and isolation. However, this results in strong coupling between services due to data locking and decreasing concurrency, both of which are unsuitable for microservices. So, how do we provide consistency guarantees for flows that span long periods of time in cloud-native applications? We'll address this challenge by investigating the Saga pattern for distributed transactions, the MicroProfile Long Running Action (LRA) specification and how these can be used to develop effective cloud-native Java microservices.
With microservices comes great benefits but also great challenges! One such challenge is data consistency and integrity. Traditionally, tightly coupled transactions were used to ensure strong consistency and isolation. However, this results in strong coupling between services due to data locking and decreasing concurrency, both of which are unsuitable for microservices. So, how do we provide consistency guarantees for flows that span long periods of time in cloud-native applications? We'll address this challenge by investigating the Saga pattern for distributed transactions, the MicroProfile Long Running Action (LRA) specification and how these can be used to develop effective cloud-native Java microservices.
How does one choose to architect a system that has a Microservice / REST API endpoints? There are many solutions out there. Some are better than others. Should state be held in a server side component, or externally? Generally we are told this is not a good practice for a Cloud Native system, when the 12-factor guidelines seem to be all about stateless containers, but is it? It’s unclear and this confusion may lead to poor technology stack choices that are impossible or extremely hard to change later on as your system evolves in terms of demand and performance.
While stateless systems are easier to work with, the reality is that we live in a stateful world, so we have to handle the state of data accordingly to ensure data integrity beyond securing it.
We will examine and demonstrate the fundamentals of a Cloud Native system with Stateful Microservices that’s built with Open Liberty and MicroProfile in Kubernetes.
How to become a superhero without even leaving your desk!Grace Jansen
With global warming on the rise, viral pandemics affecting every nation and extinction threatening more than 40,000 species the world has never needed superheros more! Are you ready to use your powers to save the world?
In this session we’ll explore the various ways our coding super powers can help to make a positive impact on our society and the planet we inhabit.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Start with our “journey” to microservices
How do you architect your microservices so that your clients get a nice experience
Talk about response time, data-driven level first, but we live in an event-driven world!
Start with demo showing http vs Kafka (video)
Show that Kafka is much quicker
Why? – delve into code? Show that we are being event-driven, what does that mean, why is it quicker (timeout diagrams)
Talk about data centric vs event-centric
But this is only looking at the architecture, what is happening inside your microservices
Leads into reactive intro
Why reactive architecture exists, how it fits into Kafka, what are the cornerstones
What happens if we set up Kafka in a non-reactive way?
Ok let’s fix it so it is reactive, and now switch to a reactive app.
At the end, running Kafka in reactive way and implementing with vertx, includes showing the vertx Kafka client etc.
Run app in a container?
Options for Kafka on Kube
End resources
Non-resilient, or non-elastic we could have failure at some point
Non-resilient – only replicating on one broker
Non-elastic – how does vertx do elasticity?
First app is a basic Kafka client app, then later introduce vertx
Every second,
~ 6,000 tweets are tweeted
>40,000 Google queries are searched
>2 million emails are sent
Photo uploads total 300 million per day.
Emphasizing how much data applications are expected to handle
Also impact in terms of fluctuation e.g. black Friday
Also people wanting to have split second responsiveness
Banking apps -> needing up to date information
(Internet Live Stats, a website of the international Real Time Statistics Project)
Use this as an example -> there are plenty of existing demos showing that using event driven vs e.g. http is much better
Clement 4pm C3
Use this as an example -> there are plenty of existing demos showing that using event driven vs e.g. http is much better
Clement’s session C3 – 4pm
It is possible to do http requests without blocking the thread, but even with that switch you are still approaching from a request/response perspective
Use this as an example -> there are plenty of existing demos showing that using event driven vs e.g. http is much better
Clement’s session C3 – 4pm
It is possible to do http requests without blocking the thread, but even with that switch you are still approaching from a request/response perspective
Use this as an example -> there are plenty of existing demos showing that using event driven vs e.g. http is much better
Clement’s session C3 – 4pm
It is possible to do http requests without blocking the thread, but even with that switch you are still approaching from a request/response perspective
Use this as an example -> there are plenty of existing demos showing that using event driven vs e.g. http is much better
Use this as an example -> there are plenty of existing demos showing that using event driven vs e.g. http is much better
Use this as an example -> there are plenty of existing demos showing that using event driven vs e.g. http is much better
Use this as an example -> there are plenty of existing demos showing that using event driven vs e.g. http is much better
No! This isn’t reasonable!
Kafka is a good tool, but it isn’t enough to have a good tool, you need to use it in the right way
You also need to think about your applications and other services, Kafka isn’t your whole architecture – integration between components is key!
Can we just use Kafka to create a Reactive application?Short answer: NOWhile Kafka look after the messaging part, we still need a Reactive Microservice implementation, for instance, using the actor model to replace thread synchronization with queued message processing or the supervisor model to handle failures and self-healing. We definitely need both Akka and Kafka to build Reactive Microservices based responsive, resilient and elastic systems.
No! This isn’t reasonable!
Kafka is a good tool, but it isn’t enough to have a good tool, you need to use it in the right way
You also need to think about your applications and other services, Kafka isn’t your whole architecture – integration between components is key!
Can we just use Kafka to create a Reactive application?Short answer: NOWhile Kafka look after the messaging part, we still need a Reactive Microservice implementation, for instance, using the actor model to replace thread synchronization with queued message processing or the supervisor model to handle failures and self-healing. We definitely need both Akka and Kafka to build Reactive Microservices based responsive, resilient and elastic systems.
No! This isn’t reasonable!
Kafka is a good tool, but it isn’t enough to have a good tool, you need to use it in the right way
You also need to think about your applications and other services, Kafka isn’t your whole architecture – integration between components is key!
Can we just use Kafka to create a Reactive application?Short answer: NOWhile Kafka look after the messaging part, we still need a Reactive Microservice implementation, for instance, using the actor model to replace thread synchronization with queued message processing or the supervisor model to handle failures and self-healing. We definitely need both Akka and Kafka to build Reactive Microservices based responsive, resilient and elastic systems.
Kafka = gives us reactive data layer GReactive architecture patterns = give us reactivity in the architecture of the systemReactive programming = gives us reactivity within the microservices(Designed well together)
Kafka = gives us reactive data layer GReactive architecture patterns = give us reactivity in the architecture of the systemReactive programming = gives us reactivity within the microservices(Designed well together)
Kafka = gives us reactive data layer GReactive architecture patterns = give us reactivity in the architecture of the systemReactive programming = gives us reactivity within the microservices(Designed well together)
Kafka = gives us reactive data layer GReactive architecture patterns = give us reactivity in the architecture of the systemReactive programming = gives us reactivity within the microservicesA reactive system is an architectural style that allows multiple individual applications to coalesce as a single unit, reacting to its surroundings, while remaining aware of each other—this could manifest as being able to scale up/down, load balancing, and even taking some of these steps proactively.
It’s possible to write a single application in a reactive style (i.e. using reactive programming); however, that’s merely one piece of the puzzle. Though each of the above aspects may seem to qualify as “reactive,” in and of themselves they do not make a system reactive.
(Designed well together)
Asynchronous code allows independent IO operations to run concurrently, resulting in efficient code. However, this improved efficiency comes at a cost — straightforward synchronous code may become a mess of nested callbacks.
Futures - Enables us to combine the simplicity of synchronous code with the efficiency of the asynchronous approach. Future represents the result of an asynchronous computation. Methods are provided to check if the computation is complete, to wait for its completion, and to retrieve the result of the computation.
A Publisher is the source of events T in the stream, and a Subscriber is a consumer for those events. A Subscriber subscribes to a Publisher by invoking a “factory method” in the Publisher that will push the stream items <T> starting a new Subscription. This is also called Reactor Pattern.
Asynchronous code allows independent IO operations to run concurrently, resulting in efficient code. However, this improved efficiency comes at a cost — straightforward synchronous code may become a mess of nested callbacks.
Futures - Enables us to combine the simplicity of synchronous code with the efficiency of the asynchronous approach. Future represents the result of an asynchronous computation. Methods are provided to check if the computation is complete, to wait for its completion, and to retrieve the result of the computation.
A Publisher is the source of events T in the stream, and a Subscriber is a consumer for those events. A Subscriber subscribes to a Publisher by invoking a “factory method” in the Publisher that will push the stream items <T> starting a new Subscription. This is also called Reactor Pattern.
Reactive Manifest 2.0
Reactive architecture is an architecture approach aims to use asynchronous messaging or event driven architecture to build Responsive, Resilient and Elastic systems.
Reactive Microservices is capitalizing on the Reactive approach while supporting faster time to market using Microservices.
Reactive Microservices is using asynchronous messaging to minimize or isolate the negative effects of resource contention, coherency delays and inter-service communication network latency.
By using an event driven architecture we can have both agile development and build responsive systems.
Reactive Manifest 2.0
Reactive architecture is an architecture approach aims to use asynchronous messaging or event driven architecture to build Responsive, Resilient and Elastic systems.
Reactive Microservices is capitalizing on the Reactive approach while supporting faster time to market using Microservices.
Reactive Microservices is using asynchronous messaging to minimize or isolate the negative effects of resource contention, coherency delays and inter-service communication network latency.
By using an event driven architecture we can have both agile development and build responsive systems.
Reactive Manifest 2.0
Reactive architecture is an architecture approach aims to use asynchronous messaging or event driven architecture to build Responsive, Resilient and Elastic systems.
Reactive Microservices is capitalizing on the Reactive approach while supporting faster time to market using Microservices.
Reactive Microservices is using asynchronous messaging to minimize or isolate the negative effects of resource contention, coherency delays and inter-service communication network latency.
By using an event driven architecture we can have both agile development and build responsive systems.
Reactive adopts a set of design patterns such as: - CQRS – separates the reads and writes - Event Sourcing - persists the state of a business entity such an Order or a Customer as a sequence of state-changing events. Whenever the state of a business entity changes, a new event is appended to the list of events. - SAGA - a mechanism to take traditional transactions that we would have done in a monolithic architecture and do it in a distributed way. We create multi “micro” transactions that have fallback behaviour to account for things going wrong part way through. It’s a sequence of local transactions where each transaction updates data within a single service - Sharding - distributes and replicates the data across a pool of databases that do not share hardware or software. Each individual database is known as a shard. Java applications can linearly scale up or scale down by adding databases (shard) to the pool or by removing databases (shards) from the pool.These patterns trade off eventual consistency, availability and scalability for strong consistency (CAP Theorem).Kafka is a perfect fit for those design patterns.
So Kafka claims to have scalable consumption and resiliency, do I just get that for free when I start Kafka? How does it work?
Open sourced distributed streaming platform, often being adopted as the “de-facto” event streaming technology
Arrived at the right time, captured mindshare among developers and so exploded in popularity
Kafka has deliberately moved away from the word “events”… instead uses records now
Talking about message driven vs event driven
Ultimately, founders of Reactive manifesto believed that by switching from Event-Driven to Message-Driven, they could more accurately articulate and define the other traits.
The difference being that messages are directed, events are not—a message has a clear addressable recipient while an event just happen for others (0-N) to observe it.
Reactive architecture is an architecture approach aims to use asynchronous messaging or event driven architecture to build Responsive, Resilient and Elastic systems.
Reactive Microservices is capitalizing on the Reactive approach while supporting faster time to market using Microservices.
Reactive Microservices is using asynchronous messaging to minimize or isolate the negative effects of resource contention, coherency delays and inter-service communication network latency.
By using an event driven architecture we can have both agile development and build responsive systems.
A Kafka cluster consists of a set of brokers.
A cluster has a minimum of 3 brokers.
Kafka broken down into topics
Records on a topic split into different partitions
Partitions distributed across Kafka brokers
For each partition, one of the brokers is the leader, and the other brokers are the followers.
Replication works by the followers repeatedly fetching messages from the leader. This is done automatically by Kafka.
For production we recommend at least 3 replicas: you’ll see why in a minute.
In order to improve availability, each topic can be replicated onto multiple brokers. For each partition, one of the brokers is the leader, and the other brokers are the followers.
Replication works by the followers repeatedly fetching messages from the leader. This is done automatically by Kafka.
For production we recommend at least 3 replicas: you’ll see why in a minute.
Imagine a broker goes down, this means the leader of Topic A, partition 1 is offline
Imagine a broker goes down, this means the leader of Topic A, partition 1 is offline
Can’t do fire and forget if you want full resiliency cause if the broker goes down your messages get lost
Two different guarantees, way you get them is through confirguartion
At most once, you may lose some messages (not completely relisient)
At least once, guaranteed delivery but may get duplicates
Retries is if acks times out/fails – how many times do you retry producing the event (how will the retry affect ordering)
Replacing scalable with elastic….Truly Reactive Systems should react to changes in the input rate by increasing or decreasing the resources allocated to service these inputs, not just expanded according to its usage (which is the definition of Scalable).
Three different things to consider – Kafka itself, the consumers and the producers
Elasticity in Kafka itself
Scale out brokers, can’t scale down (where do events go if you did?)
Can scale out partitions but can’t scale them down again
Can add topics, and delete topics if you don’t care about them
An individual record is made up of a key and a value.
You can scale up producers and scale down producers as you want - it’s the key you attach to the records they produce that determine which partition they are assigned to and their ordering
Kafka guarantee that all messages with the same non-empty key will be sent to the same partition
When no key is set, producers records will be appended in a round-robin fashion
An individual record is made up of a key and a value.
When no key is set, producers records will be appended in a round-robin fashion
To allow scalability of consumers, consumers are grouped into consumer groups. Consumer declare what group they are in using a group id
For consumers we use Consumer groups to enable elasticity
If you added an extra consumer to consumer group A it would sit idle, since there aren’t any spare partitions – this isn’t ideal but could be useful if you want it to quickly pick up the slack if one of the other consumers went down
Key message – you can scale up and scale down consumers – CAVEAT! You can only scale up consumers to match the number of partitions
So black Friday, make sure you have enough partitions!
If you scale up consumers to more then partitions, you’ll have some sitting idle, only use of this is if a consumer goes down then you have a backup
If you added an extra consumer to consumer group A it would sit idle, since there aren’t any spare partitions – this isn’t ideal but could be useful if you want it to quickly pick up the slack if one of the other consumers went down
If you added an extra consumer to consumer group A it would sit idle, since there aren’t any spare partitions – this isn’t ideal but could be useful if you want it to quickly pick up the slack if one of the other consumers went down
If you added an extra consumer to consumer group A it would sit idle, since there aren’t any spare partitions – this isn’t ideal but could be useful if you want it to quickly pick up the slack if one of the other consumers went down
At the moment Kafka uses Zookeeper for storing metadata, in the future the metadata will be stored in topics in Kafka, so Zookeeper won’t be required any more.
Reactive adopts a set of design patterns such as: - CQRS - event sourcing - command sourcing - shardingThese patterns trade off eventual consistency, availability and scalability for strong consistency (CAP Theorem).Kafka is a perfect fit for those design patterns.
Applications using Kafka as a message bus using this API may consider switching to Reactor Kafka if the application is implemented in a functional style.
Based on top of Project Reactor
Uses Kafka Java client (Kafka Producer/Consumer API) under the hood
The actor model is a conceptual model to deal with concurrent computation.
An actor is the primitive unit of computation. It’s the thing that receives a message and do some kind of computation based on it.
Messages are sent asynchronously to an actor, that needs to store them somewhere while it’s processing another message. The mailbox is the place where these messages are stored.
Actors communicate with each other by sending asynchronous messages. Those messages are stored in other actors' mailboxes until they're processed.
It allows consuming/producing from Kafka with Akka Streams, leveraging the reactive interface of this streaming library, its backpressure, and resource safety. It hides a lot of complexity, especially when your streaming logic is non-trivial like sub-streaming per partition and handling commits in custom ways.
Polyglot Java, Javascript, Groovy, Ceylon, Scala and Kotlin
The reactor pattern is one implementation technique of event-driven architecture. In simple terms, it uses a single threaded event loop blocking on resource-emitting events and dispatches them to corresponding handlers and callbacks.
It receives messages, requests, and connections coming from multiple concurrent clients and processes these posts sequentially using event handlers. The purpose of the Reactor design pattern is to avoid the common problem of creating a thread for each message, request, and connection. Then it receives events from a set of handlers and distributes them sequentially to the corresponding event handlers.
It’s single-threaded – so you must not block the thread!
The Kafka client is becoming more popular and e.g. it is used by SmallRye Reactive messaging
Demo the starter app working
Key takeaways:
Choosing a reactive framework makes it easier to work with Kafka
Strimzi, cool open source project that provides a Kubernetes operator for Kafka, just been accepted into CNCF (Cloud Native Computer Foundation)
Kate active contributer to Strimzi and I was interested in Vert.x
Demo the starter app working
Key takeaways:
Choosing a reactive framework makes it easier to work with Kafka
Strimzi, cool open source project that provides a Kubernetes operator for Kafka, just been accepted into CNCF (Cloud Native Computer Foundation)
Kate active contributer to Strimzi and I was interested in Vert.x
Show/talk about the normal way to use the Kafka clients
Instead of “new” we’ve now got “.create”
Instead of “.send” we’ve now got “.write”
Not much of a difference!
Show/talk about the normal way to use the Kafka clients
Bigger change!
Instead of for loop within a while true loop, now just use a handler to consume the messages
Also able to get rid of complications around thread handling, all happens within Vert.x
IBM Event Streams is fully supported Apache Kafka® with value-add capabilities