Are you trying to change your company IT Department's persistence paradigm from OOP => RDBMS to OOP => NoSQLDb? Want to benefit of DDD+CQRS+EVS in your enterprise-class distributed application but don't know where to start?
Look at this...
CQRS and Event Sourcing, An Alternative Architecture for DDDDennis Doomen
Most of us will be familiar with the standard 3- or 4-layer architecture you often see in larger enterprise systems. Some are already practicing Domain Driven Design and work together with the business to clarify the domain concepts. Perhaps you’ve noticed that is difficult to get the intention of the 'verbs' from that domain into this standard architecture. If performance is an important requirement as well, then you might have discovered that an Object-Relational Mapper and a relational database are not always the best solution.
One of the main reasons for this is the fact that the interests of a consistent domain that takes into account the many business rules, and those of data reporting and presentation are conflicting. That’s why Betrand Meyer introduced the Command Query Separation principle.
An architecture based on this principle combined with the Event Sourcing concept provides the ideal architecture for building high-performance systems designed using DDD. Well-known bloggers like Udi Dahan and Greg Young have already spent quite a lot of of posts on this, and this year’s Developer Days had some coverage as well.
But how do you build such a system with the. NET framework? Is it really as complex as some claim, or is just different work?
Microservice Architecture with CQRS and Event SourcingBen Wilcock
In this slide deck I'll introduce you to the Command and Query Responsibility Segregation [CQRS] and Event Sourcing [ES] patterns for software architecture and explain why I think they're worth investing a little of your time in if you're building Microservices that need to scale gracefully.
A practical introduction to Event Sourcing and CQRSRobert Lemke
Event Sourcing is supposed to be a great thing: silver bullet; at least. But only if your business case requires it. And if you event-source, you of course need CQRS. Unless you don't. After all, if it's business critical, you really want to use DDD.
Enough of the theory? How about some practical introduction to the world of commands, aggregates, events, projectors and process managers? After this session you'll surely have a better idea of what all of this is about.
https://www.youtube.com/watch?v=cUXi9fUqWQ0
Are you trying to change your company IT Department's persistence paradigm from OOP => RDBMS to OOP => NoSQLDb? Want to benefit of DDD+CQRS+EVS in your enterprise-class distributed application but don't know where to start?
Look at this...
CQRS and Event Sourcing, An Alternative Architecture for DDDDennis Doomen
Most of us will be familiar with the standard 3- or 4-layer architecture you often see in larger enterprise systems. Some are already practicing Domain Driven Design and work together with the business to clarify the domain concepts. Perhaps you’ve noticed that is difficult to get the intention of the 'verbs' from that domain into this standard architecture. If performance is an important requirement as well, then you might have discovered that an Object-Relational Mapper and a relational database are not always the best solution.
One of the main reasons for this is the fact that the interests of a consistent domain that takes into account the many business rules, and those of data reporting and presentation are conflicting. That’s why Betrand Meyer introduced the Command Query Separation principle.
An architecture based on this principle combined with the Event Sourcing concept provides the ideal architecture for building high-performance systems designed using DDD. Well-known bloggers like Udi Dahan and Greg Young have already spent quite a lot of of posts on this, and this year’s Developer Days had some coverage as well.
But how do you build such a system with the. NET framework? Is it really as complex as some claim, or is just different work?
Microservice Architecture with CQRS and Event SourcingBen Wilcock
In this slide deck I'll introduce you to the Command and Query Responsibility Segregation [CQRS] and Event Sourcing [ES] patterns for software architecture and explain why I think they're worth investing a little of your time in if you're building Microservices that need to scale gracefully.
A practical introduction to Event Sourcing and CQRSRobert Lemke
Event Sourcing is supposed to be a great thing: silver bullet; at least. But only if your business case requires it. And if you event-source, you of course need CQRS. Unless you don't. After all, if it's business critical, you really want to use DDD.
Enough of the theory? How about some practical introduction to the world of commands, aggregates, events, projectors and process managers? After this session you'll surely have a better idea of what all of this is about.
https://www.youtube.com/watch?v=cUXi9fUqWQ0
Developing microservices with aggregates (SpringOne platform, #s1p)Chris Richardson
The Domain Model pattern is a great way to develop complex business logic. Unfortunately, a typical domain model is a tangled, birds nest of classes. It can’t be decomposed into microservices. Moreover, business logic often relies on ACID transactions to maintain consistency.
Fortunately, there is a solution to this problem: aggregates. An aggregate is an often overlooked modeling concept from the must read book Domain Driven Design. In this talk you will learn how aggregates enable you to develop business logic for the modern world of microservices and NoSQL. We will describe how to use aggregates to design modular business logic that can be partitioned into microservices. You will learn how aggregates enable you to use eventual consistency instead of ACID. We will describe the design of a microservice that is built using aggregates, and Spring Cloud.
Axon Framework, Exploring CQRS and Event Sourcing ArchitectureAshutosh Jadhav
This presentation explains the architecture of CQRS(Command and Query Responsibility Segregation) and ES(Event Sourcing) and How Axon Framework provides the building blocks to implement these patterns.
Serverless architecture allows us to build and run applications with nearly no infrastructure configuration. Isn’t it a dream of a developer to concentrate on writing software and not be distracted by infrastructure duties?
CQRS and Event Sourcing are patterns which allow us to benefit from this approach.
In this talk we will dive into the world of Serverless computing for Java developers using Amazon Web Services and of course we will take a look at some existing pitfalls.
CQRS and what it means for your architectureRichard Banks
A session on the CQRS pattern (Command Query Responsibility Separation) with C# code samples, and a discussion of what it means for your architecture and when and why you should use it. First presented at the Sydney Alt.Net group in June 2016.
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
How to write your database: the story about Event StoreVictor Haydin
This story is about distributed open-source database called Event Store (http://geteventstore.com). Event Store is developed by distributed team, part of which are ELEKS employees. I am going to talk about Event Store purpose and how it works, share some lessons we learned during the development and how it feels when you develop distributed high-performance system of that complexity. The talk will be interesting for technical people: software architects and engineers in general and .NET developers in particular as Event Store is written in C#.
Building event-driven Microservices with Kafka EcosystemGuido Schmutz
This session will begin with a short recap of how we created systems over the past 20 years, up to the current idea of building systems, using a Microservices architecture. What is a Microservices architecture and how does it differ from a Service-Oriented Architecture? Should you use traditional REST APIs to integrate services with each each other in a Microservices Architecture? Or is it better to use a more loosely-coupled protocol? Answers to these and many other questions are provided. The talk will show how a distributed log (event hub) can help to create a central, persistent history of events and what benefits we achieve from doing so. Apache Kafka is a perfect match for building such an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a more traditional as well as in a stream processing fashion. The talk shows the difference between a request-driven and event-driven communication and answers when to use which. It highlights how a modern stream processing system can be used to hold state both internally as well as in a database and how this state can be used to further increase independence of other services, the primary goal of a Microservices architecture.
Service Fabric – building tomorrows applications todayBizTalk360
This session walks through incorporating Microsoft Service Fabric into your next application for zero downtime and upgradability. Microsoft have released the very same Azure Fabric smarts that look after for e.g. Azure VM management, into the Application space. Meaning your Apps can be based on the Actor model, highly distributed, scalable and in place upgrades with zero down time is now possible. Tapping into scale is key in this world of Cloud First, Device First world - can your apps handle the load? Bring the management of Azure to your application layer.
Jay Kreps, Confluent | Kafka Summit SF 2019 Keynote ft. Dev Tagare, Lyft + Pr...confluent
Jay Kreps, Confluent Co-Founder and Co-Creator of Apache Kafka, delivers the keynote presentation at Kafka Summit San Francisco 2019. He explains modern stream processing, real-time databases, KSQL, and Confluent Cloud's newest offering – a fully managed, serverless Kafka. In an effort to bring event streaming to even more developers, Priya Shivakumar announces Kafka made serverless in Confluent Cloud, with $50 free for the first three months.
Recording includes a Q&A session between Jay Kreps and Devendra Tagare, Engineering Manager at Lyft. They discuss the enhanced features Confluent Cloud offers on top of typical Kafka use cases – from mission critical reliability, scaling billions of messages at under 50ms latency, to multicloud data streaming and 24/7 Kafka support."
An introduction to multi-tenancy in Java enterprise applications. It covers the steps needed to use Hibernate's support, integration with migration framework Liquibase and logging.
Migrating your business applications from your on-site or co-located datacenters to the AWS Cloud takes some planning, and a phased approach. This webinar looks at migration patterns from an architectural perspective and what tools and techniques are available to you.
Reasons to attend:
- Learn about planning your cloud migration strategy.
- This webinar will help you select the workloads that can easily be moved to the cloud.
- Evaluate the conditions and metrics required for a successful and cost effective migration.
Data Con LA 2022 - Event Sourcing with Apache Pulsar and Apache QuarkusData Con LA
David Kjerrumgaard, Developer Advocate, StreamNative
I believe that event-sourcing is the best way to implement persistence within a microservices architecture, but it hasn't always been the easiest solution to implement. In this talk, I will demonstrate how these two exciting technologies can be combined into one killer stack that simplifies event sourcing development. I will outline how to use DDD and CQRS concepts as a guide for developing an event sourcing food-delivery application based on Apache Pulsar and Quarkus that is 100% cloud native. Throughout this talk, I will demonstrate several different event sourcing design patterns across multiple microservices to feed multiple real-time dashboards that provide driver location tracking, and heatmaps. I will also highlight some patterns for using an event streaming platform as your event store.
Developing microservices with aggregates (SpringOne platform, #s1p)Chris Richardson
The Domain Model pattern is a great way to develop complex business logic. Unfortunately, a typical domain model is a tangled, birds nest of classes. It can’t be decomposed into microservices. Moreover, business logic often relies on ACID transactions to maintain consistency.
Fortunately, there is a solution to this problem: aggregates. An aggregate is an often overlooked modeling concept from the must read book Domain Driven Design. In this talk you will learn how aggregates enable you to develop business logic for the modern world of microservices and NoSQL. We will describe how to use aggregates to design modular business logic that can be partitioned into microservices. You will learn how aggregates enable you to use eventual consistency instead of ACID. We will describe the design of a microservice that is built using aggregates, and Spring Cloud.
Axon Framework, Exploring CQRS and Event Sourcing ArchitectureAshutosh Jadhav
This presentation explains the architecture of CQRS(Command and Query Responsibility Segregation) and ES(Event Sourcing) and How Axon Framework provides the building blocks to implement these patterns.
Serverless architecture allows us to build and run applications with nearly no infrastructure configuration. Isn’t it a dream of a developer to concentrate on writing software and not be distracted by infrastructure duties?
CQRS and Event Sourcing are patterns which allow us to benefit from this approach.
In this talk we will dive into the world of Serverless computing for Java developers using Amazon Web Services and of course we will take a look at some existing pitfalls.
CQRS and what it means for your architectureRichard Banks
A session on the CQRS pattern (Command Query Responsibility Separation) with C# code samples, and a discussion of what it means for your architecture and when and why you should use it. First presented at the Sydney Alt.Net group in June 2016.
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
How to write your database: the story about Event StoreVictor Haydin
This story is about distributed open-source database called Event Store (http://geteventstore.com). Event Store is developed by distributed team, part of which are ELEKS employees. I am going to talk about Event Store purpose and how it works, share some lessons we learned during the development and how it feels when you develop distributed high-performance system of that complexity. The talk will be interesting for technical people: software architects and engineers in general and .NET developers in particular as Event Store is written in C#.
Building event-driven Microservices with Kafka EcosystemGuido Schmutz
This session will begin with a short recap of how we created systems over the past 20 years, up to the current idea of building systems, using a Microservices architecture. What is a Microservices architecture and how does it differ from a Service-Oriented Architecture? Should you use traditional REST APIs to integrate services with each each other in a Microservices Architecture? Or is it better to use a more loosely-coupled protocol? Answers to these and many other questions are provided. The talk will show how a distributed log (event hub) can help to create a central, persistent history of events and what benefits we achieve from doing so. Apache Kafka is a perfect match for building such an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a more traditional as well as in a stream processing fashion. The talk shows the difference between a request-driven and event-driven communication and answers when to use which. It highlights how a modern stream processing system can be used to hold state both internally as well as in a database and how this state can be used to further increase independence of other services, the primary goal of a Microservices architecture.
Service Fabric – building tomorrows applications todayBizTalk360
This session walks through incorporating Microsoft Service Fabric into your next application for zero downtime and upgradability. Microsoft have released the very same Azure Fabric smarts that look after for e.g. Azure VM management, into the Application space. Meaning your Apps can be based on the Actor model, highly distributed, scalable and in place upgrades with zero down time is now possible. Tapping into scale is key in this world of Cloud First, Device First world - can your apps handle the load? Bring the management of Azure to your application layer.
Jay Kreps, Confluent | Kafka Summit SF 2019 Keynote ft. Dev Tagare, Lyft + Pr...confluent
Jay Kreps, Confluent Co-Founder and Co-Creator of Apache Kafka, delivers the keynote presentation at Kafka Summit San Francisco 2019. He explains modern stream processing, real-time databases, KSQL, and Confluent Cloud's newest offering – a fully managed, serverless Kafka. In an effort to bring event streaming to even more developers, Priya Shivakumar announces Kafka made serverless in Confluent Cloud, with $50 free for the first three months.
Recording includes a Q&A session between Jay Kreps and Devendra Tagare, Engineering Manager at Lyft. They discuss the enhanced features Confluent Cloud offers on top of typical Kafka use cases – from mission critical reliability, scaling billions of messages at under 50ms latency, to multicloud data streaming and 24/7 Kafka support."
An introduction to multi-tenancy in Java enterprise applications. It covers the steps needed to use Hibernate's support, integration with migration framework Liquibase and logging.
Migrating your business applications from your on-site or co-located datacenters to the AWS Cloud takes some planning, and a phased approach. This webinar looks at migration patterns from an architectural perspective and what tools and techniques are available to you.
Reasons to attend:
- Learn about planning your cloud migration strategy.
- This webinar will help you select the workloads that can easily be moved to the cloud.
- Evaluate the conditions and metrics required for a successful and cost effective migration.
Data Con LA 2022 - Event Sourcing with Apache Pulsar and Apache QuarkusData Con LA
David Kjerrumgaard, Developer Advocate, StreamNative
I believe that event-sourcing is the best way to implement persistence within a microservices architecture, but it hasn't always been the easiest solution to implement. In this talk, I will demonstrate how these two exciting technologies can be combined into one killer stack that simplifies event sourcing development. I will outline how to use DDD and CQRS concepts as a guide for developing an event sourcing food-delivery application based on Apache Pulsar and Quarkus that is 100% cloud native. Throughout this talk, I will demonstrate several different event sourcing design patterns across multiple microservices to feed multiple real-time dashboards that provide driver location tracking, and heatmaps. I will also highlight some patterns for using an event streaming platform as your event store.
Introduction to Axon FrameWork with CQRS patternKnoldus Inc.
Axon Framework is a framework for building evolutionary, event-driven microservice systems, based on the principles of Domain Driven Design, Command-Query Responsibility Segregation (CQRS) and Event Sourcing. As such it provides you the necessary building blocks to follow these principles.
The event, held on 27th April 2019, was part of the Global Azure Bootcamp and covered Microsoft's Cosmos DB, more specifically:
- Introduction to Cosmos DB, its features, internals, resource models, and request units.
- DEMO: Create an SQL API. Download sample .NET app. Simple queries.
- Covered Change Feed and showcased various use case scenarios.
- Detailed Global Distribution and Consistency Models implications.
- DEMO: Mongo - Lift and shift. Run simple .NET code against a MongoDB (in docker container) and cosmos.
- Introduction to Tinkerpop graphs
- DEMO: Graphs API. Download sample .NET app. Simple queries.
https://techspark.mt/global-azure-bootcamp-27th-april-2019/
AWS re:Invent 2016: Chalk Talk: Succeeding at Infrastructure-as-Code (GPSCT312)Amazon Web Services
The days of manually managing infrastructure tasks are quickly coming to an end; businesses increasingly need their infrastructure teams to react with the same agility of their development teams. In this session, we discuss various approaches to infrastructure-as-code utilizing AWS solutions across the areas of templated infrastructure provisioning, configuration management, and policy as code. We invite you to bring your questions and join AWS Solutions Architects as we dive deeper into the concepts and best practices behind infrastructure-as-code.
Schema-based multi-tenant architecture using Quarkus & Hibernate-ORM.pdfseo18
Architecture design is a must while developing a SaaS application to ensure its scalability and optimising infrastructure costs. In this blog, Lets discuss the implementation of one such architecture with Quarkus java framework and Hibernate ORM
AI&BigData Lab 2016. Сарапин Виктор: Размер имеет значение: анализ по требова...GeeksLab Odessa
4.6.16 AI&BigData Lab
Upcoming events: goo.gl/I2gJ4H
Как устроить анализ данных 40 млн. человек за 5 лет так, чтобы это выглядело почти в реальном времени.
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected. Note: This workshop focuses on containerizing MXNet. The features of MXNet and capabilities of deep learning in general are vast, and there are recorded sessions from re:Invent that dive deeper on these topics. All you need to participate is a laptop and AWS account. Pizza will be provided.
Join us for a deep dive into Windows Azure. We’ll start with a developer-focused overview of this brave new platform and the cloud computing services that can be used either together or independently to build amazing applications. As the day unfolds, we’ll explore data storage, SQL Azure™, and the basics of deployment with Windows Azure. Register today for these free, live sessions in your local area.
Winning the Lottery with Spring: A Microservices Case Study for the Dutch Lot...VMware Tanzu
SpringOne 2021
Session Title: Winning the Lottery with Spring: A Microservices Case Study for the Dutch Lotteries
Speaker: Joris Kuipers, CTO at Trifork
Workshop; Deploy a Deep Learning Framework on Amazon ECS and Spot InstancesAmazon Web Services
by Asif Khan, Technical Business Development Manager, AWS
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected. Note: This workshop focuses on containerizing MXNet. The features of MXNet and capabilities of deep learning in general are vast, and there are recorded sessions from re:Invent that dive deeper on these topics. All you need to participate is a laptop and AWS account. Pizza will be provided. Level 300
Amazon EKS 그리고 Service Mesh
Kubernetes는 컨테이너 서비스를 도입하는 기업들에게 가장 있기있는 Orchestration 플랫폼입니다. 이 세션에서는 아마존에서 6월 정식 출시한 managed Kubenetes서비스인 EKS를 소개해드리며, 오픈소스 버전과의 차이점 및 장점 등에 대해 설명하고, 진보한 마이크로 서비스인 Service Mesh를 구현하는 Linkerd 소개 및 데모를 진행하고자 합니다.
Big Data Streams Architectures. Why? What? How?Anton Nazaruk
With a current zoo of technologies and different ways of their interaction it's a big challenge to architect a system (or adopt existed one) that will conform to low-latency BigData analysis requirements. Apache Kafka and Kappa Architecture in particular take more and more attention over classic Hadoop-centric technologies stack. New Consumer API put significant boost in this direction. Microservices-based streaming processing and new Kafka Streams tend to be a synergy in BigData world.
WKS401 Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot InstancesAmazon Web Services
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects.
In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected.
Pre-reqs: Laptop and AWS account
Windows Azure - Uma Plataforma para o Desenvolvimento de AplicaçõesComunidade NetPonto
A plataforma Windows Azure abre espaço a desenvimento de aplicações utilizando o novo paradigma: "A Nuvem". Aplicações escaláveis, redundantes, e mais próximas do utilizador final. Isto tudo utilizando como base os conhecimentos que já tem e o novo Visual Studio 2010.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
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?
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.
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.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
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
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
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.
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.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
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.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
15. Supported By:
DOMAIN DRIVEN DESIGN
Context Map
Context mapping is a design process where the contact points and translations
between bounded contexts are explicitly mapped out. Focus on mapping the existing
landscape, and deal with the actual transformations later.
?Relation
General Ledger
Account Payable
20. Supported By:
Entity & Value Object
Entity…
An object fundamentally defined not by its attributes, but by
a thread of continuity and identity.
Value Object…
An immutable object that describes some characteristic or
attribute but carries no concept of identity.
21. Supported By:
Aggregate
…
Cluster of associated objects that are treated as a unit for
the purpose of data changes.
…
Aggregate enforce concictency
Order Line Items
Customer
Shipping
Address
Aggregate Root
27. Supported By:
CQRS
Pioneered by Greg Young & Udi Dahan
In this context,
» Commands = Writes
» Queries = Reads
Command/Query Responsibility Segregation (CQRS) is the idea
that you can use a different model to update information than
the model you use to read information.
29. Supported By:
Why Is CQRS needed ?
Read vs Write Capacity…
Scale read operations differently from write operations
Split the concerns…
Simplicity in domain model by separating read and writes.
Decreased COMPLEXITY…
Write need validation and consequential logic.
Read have many representation model, and storage mechanism
(polyglot storage)
30. Supported By:
How Does CQRS work ?
Persistent View Model schema
matches UI view model
Scale out
as many
copies as
needed
Command captures the
intent of the user
Commandbus deliver
command to command
handler
A queue can be
utilized to optimize
write performance
After database is
updated, publish result
to view model via
eventbus
31. Supported By:
How Does CQRS work ?
Command
Commands encapsulate the user’s intent
but do not contain business logic, only
enough data for the command.
Command message handled by
command handler.
Just once command handler / command
message.
Command handler can reject a
command, validation / bussines rules
violation
32. Supported By:
How Does CQRS work ?
Event
Events describe changes in the system
state.
An Event Bus can be utilized to dispatch
events to subscribers.
Events primary purpose update the read
model
Events can also provider integration with
external systems
CQRS can also be used in conjunction
with Event Sourcing.
34. Supported By:
Traditional systems store current state
INSERT INTO charging_stations
VALUES (“CP001”, “Acme Corp.”, “Widget B”);
INSERT INTO charging_stations
VALUES (“CP003”, “ABC Widgets”, “Model-1”);
UPDATE charging_stations
SET model = “Widget A”
WHERE identity = “CP001”;
36. Supported By:
Traditional systems store current state
keeping only the current state…
lot of valuable historic data is lost, e.g. the information about the
time a state change happened, who invoked the change, and so
on. This historic data may remind you of something called an
audit log.
conceptual model…
there is no single model that could be used universally for every
possible case that the system needs to address. Moreover, the
structure of the application data tends to change overtime..
41. Supported By:
How Does CQRS work ?
Persistent View Model
Read model can be denormalized
RDBMS, document store, etc.
Optimize read model with different data
storage technologies for different kinds
of data (polyglot)
Eventually Concistence
51. Supported By:
AMQP IN A NUTSHELL
A producer is a user
application that
sends messages
A exchange is message router
that routes message to
queue. There is Direct,
Fanout, Topic Exchange
A queue is a buffer that
stores messages
A consumer
is a user
application
that receives
messages.
52. Supported By:
Fanout Exchange
A fanout exchange routes messages to all of the queues that are bound to it and the routing
key is ignored. If N queues are bound to a fanout exchange, when a new message is
published to that exchange a copy of the message is delivered to all N queues. Fanout
exchanges are ideal for the broadcast routing of messages.
54. Supported By:
Topic Exchange
Topic exchanges route messages to one or many queues based on matching between a
message routing key and the pattern that was used to bind a queue to an exchange.
57. Supported By:
Why Axon Framework
Compatibility with CQRS and ES …
Axon Framework is a Java Framework for scalable and high performance applications and being
focused on making life easier for developers that want to create applications based on the CQRS
principles and concepts, i.e. commands, events, aggregates, entities, sagas, etc. On top of that, it
also supports event sourcing.
Integrability…
It supports the Spring Framework's configuration and dependency injection. It also uses Java
annotations for building the domain model and event listeners without being tied to the Axon's
specific logic.
Active development and support…
the latest version at the time of writing this was 2.4.4. It is actively developed, a new major version
3 is a work in progress. It has nice and detailed documentation and a sample project to showcase
the code. The authors also provide commercial services such as support contracts, training, and
consultancy.
Popularity…
The code repository on GitHub has more than 300 stars and 100 forks. The user community is
active on the mailing lists and on the issue tracker.
58. Supported By:
Axon Framework
CommandBus
SimpleCommandBus…
It does straightforward processing of commands in the thread that dispatches them. After a
command is processed, the modified aggregate(s) are saved and generated events are published in
that same thread.
AsynchronousCommandBus …
It does processing of commands in new thread. After a command is processed, the modified
aggregate(s) are saved and generated events are published in that same thread.
DisruptorCommandBus …
The DisruptorCommandBus takes a different approach to multithreaded processing. Instead of
doing the processing in the calling thread, the tasks are handed off to two groups of threads, that
each take care of a part of the processing. The first group of threads will execute the command
handler, changing an aggregate's state. The second group will store and publish the events to the
Event Store and Event Bus.
62. Supported By:
Axon Framework
EventBus
SimpleEventBus …
The SimpleEventBus just dispatches each incoming Event to each of the subscribed EventListeners
sequentially. If an EventListener throws an Exception, dispatching stops and the exception is
propagated to the component publishing the Event..
ClusteringEventsBus …
The ClusteringEventsBus allows application developers
to bundle EventListeners into Clusters based on their
properties and non-functional requirements. The
ClusteringEventBus is also more capable to deal with
Events being dispatched among different machines.
Contains two mechanisms: the ClusterSelector, which
selects a Cluster instance for each of the registered
EventListeners, and the EventBusTerminal, which is
responsible for dispatching Events to each of the
relevant clusters..
65. Supported By:
Axon Framework
Event Store
FileSystemEventStore…
The FileSystemEventStore stores the events in a file on the file system. It provides good
performance and easy configuration. Not a suitable implementation for production environments
JpaEventStore …
The JpaEventStore stores events in a JPA-compatible data source. Unlike the file system version, the
JPAEventStore supports transactions. The JPA Event Store stores events in so called entries. To use
the JpaEventStore, you must have the JPA (javax.persistence) annotations on your classpath..
JDBC Event Store …
The JDBC event store uses a JDBC Connection to store Events in a JDBC compatible data storage.
Typically, these are relational databases. Theoretically, anything that has a JDBC driver could be
used to back the JDBC Event Store.
MongoDB Event Store …
Use mongodb to store Events.
68. Supported By:
Axon Framework
Aggregate Repositories
GenericJpaRepository…
This is a repository implementation that can store JPA compatible Aggregates. It is configured with
an EntityManager to manage the actual persistence, and a class specifying the actual type of
Aggregate stored in the Repository.
EventSourcingRepository …
The EventSourcingRepository implementation provides the basic functionality needed by any event
sourcing repository in the AxonFramework.
HybridJpaRepository…
The HybridJpaRepository is a combination of the GenericJpaRepository and an Event Sourcing
repository. It can only deal with event sourced aggregates, and stores them in a relational model as
well as in an event store. When the repository reads an aggregate back in, it uses the relational
model exclusively..