This document compares the Akka Persistence and Eventuate frameworks for building event-sourced applications using the CQRS/ES pattern. Both frameworks allow persisting actor state by event sourcing and replaying events to recover state. The key differences are that Akka Persistence enforces strong consistency while Eventuate supports causal consistency across multiple data centers. Eventuate also supports replication of event logs and event-sourced actors across locations for high availability.
Akka persistence == event sourcing in 30 minutesKonrad Malawski
Akka 2.3 introduces akka-persistence, a wonderful way of implementing event-sourced applications. Let's give it a shot and see how DDD and Akka are a match made in heaven :-)
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.
Microservices are an essential enabler of agility but developing and deploying them is a challenge. In order for microservices to be loosely coupled,each service must have its own datastore. This makes it difficult to maintain data consistency across services.
Deploying microservices is also a complex problem since an application typically consists of 10s or 100s of services, written in a variety of languages and frameworks. In this presentation, you will learn how to solve these problems by using an event-driven architecture to maintain data consistency and by using Docker to simplify deployment.
Handling Eventual Consistency in JVM Microservices with Event Sourcing (javao...Chris Richardson
This is the talk that the Kenny Bastani and I gave at JavaOne 2016.
When you’re building JVM applications in a microservice architecture, managing state becomes a distributed systems problem. Instead of being able to manage state as transactions inside the boundaries of a single monolithic application, a microservice must be able to manage consistency by using transactions that are distributed across a network of many different applications and databases. This session explores the problems of data consistency and high availability in JVM-based microservices and how to use event sourcing to solve these problems.
Slides for my talk event-sourced architectures with Akka. Discusses Akka Persistence as mechanism to do event-sourcing. Presented at Javaone 2014 and Jfokus 2015.
Akka persistence == event sourcing in 30 minutesKonrad Malawski
Akka 2.3 introduces akka-persistence, a wonderful way of implementing event-sourced applications. Let's give it a shot and see how DDD and Akka are a match made in heaven :-)
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.
Microservices are an essential enabler of agility but developing and deploying them is a challenge. In order for microservices to be loosely coupled,each service must have its own datastore. This makes it difficult to maintain data consistency across services.
Deploying microservices is also a complex problem since an application typically consists of 10s or 100s of services, written in a variety of languages and frameworks. In this presentation, you will learn how to solve these problems by using an event-driven architecture to maintain data consistency and by using Docker to simplify deployment.
Handling Eventual Consistency in JVM Microservices with Event Sourcing (javao...Chris Richardson
This is the talk that the Kenny Bastani and I gave at JavaOne 2016.
When you’re building JVM applications in a microservice architecture, managing state becomes a distributed systems problem. Instead of being able to manage state as transactions inside the boundaries of a single monolithic application, a microservice must be able to manage consistency by using transactions that are distributed across a network of many different applications and databases. This session explores the problems of data consistency and high availability in JVM-based microservices and how to use event sourcing to solve these problems.
Slides for my talk event-sourced architectures with Akka. Discusses Akka Persistence as mechanism to do event-sourcing. Presented at Javaone 2014 and Jfokus 2015.
Resilient Applications with Akka Persistence - Scaladays 2014Björn Antonsson
In this presentation you will learn how to leverage the features introduced in Akka Persistence: opt-in at-least-once delivery semantics between actors and the ability to recover application state after a crash. Both are implemented by storing immutable facts in a persisted append-only log. We will show you how to create persistent actors using command and event sourcing, replicate events with reliable communication, scale out and improve resilience with clustering.
Everyone in the Scala world is using or looking into using Akka for low-latency, scalable, distributed or concurrent systems. I'd like to share my story of developing and productionizing multiple Akka apps, including low-latency ingestion and real-time processing systems, and Spark-based applications.
When does one use actors vs futures?
Can we use Akka with, or in place of, Storm?
How did we set up instrumentation and monitoring in production?
How does one use VisualVM to debug Akka apps in production?
What happens if the mailbox gets full?
What is our Akka stack like?
I will share best practices for building Akka and Scala apps, pitfalls and things we'd like to avoid, and a vision of where we would like to go for ideal Akka monitoring, instrumentation, and debugging facilities. Plus backpressure and at-least-once processing.
Akka: Simpler Scalability, Fault-Tolerance, Concurrency & Remoting through Ac...Jonas Bonér
Akka is the platform for the next generation event-driven, scalable and fault-tolerant architectures on the JVM
We believe that writing correct concurrent, fault-tolerant and scalable applications is too hard. Most of the time it's because we are using the wrong tools and the wrong level of abstraction.
Akka is here to change that.
Using the Actor Model together with Software Transactional Memory we raise the abstraction level and provides a better platform to build correct concurrent and scalable applications.
For fault-tolerance we adopt the "Let it crash" / "Embrace failure" model which have been used with great success in the telecom industry to build applications that self-heals, systems that never stop.
Actors also provides the abstraction for transparent distribution and the basis for truly scalable and fault-tolerant applications.
Akka is Open Source and available under the Apache 2 License.
Securing Microservices using Play and Akka HTTPRafal Gancarz
Going down the microservices route makes a lot of things around creating and maintaining large systems easier but it comes at a cost too, particularly associated with challenges around security. While securing monolithic applications was a relatively well understood area, the same can't be said about microservice based architectures.
This presentation covers how implementing microservices affects the security of distributed systems, outlines pros and cons of several standards and common practices and offers practical suggestions for securing microservice based systems using Play and Akka HTTP.
Understanding Akka Streams, Back Pressure, and Asynchronous ArchitecturesLightbend
The term 'streams' has been getting pretty overloaded recently–it's hard to know where to best use different technologies with streams in the name. In this talk by noted hAkker Konrad Malawski, we'll disambiguate what streams are and what they aren't, taking a deeper look into Akka Streams (the implementation) and Reactive Streams (the standard).
You'll be introduced to a number of real life scenarios where applying back-pressure helps to keep your systems fast and healthy at the same time. While the focus is mainly on the Akka Streams implementation, the general principles apply to any kind of asynchronous, message-driven architectures.
Akka and the Zen of Reactive System DesignLightbend
In order to be successful with asynchronous programming, when coming from synchronous execution models you need to change your mindset and look at things from a slightly different perspective. In order to use Akka at it's best, you will have to change the way you think about application design (loosen coupling in space and time between components), and re-think what you've maybe learned in the past.
In this talk we uncover a number of rules that serve as a guide in designing concurrent distributed applications, how those apply to Akka, and how they can help you in daily app development.
Aimed at developers through architects, Akka team happy hAkker, Konrad Malawski, bends your parameters with regards to application design and asynchronous execution models.
Building Reactive Systems with Akka (in Java 8 or Scala)Jonas Bonér
Learn how to build Reactive Systems with Akka. Examples in both Java 8 and Scala.
Abstract:
The demands and expectations for applications have changed dramatically in recent years. Applications today are deployed on a wide range of infrastructure; from mobile devices up to thousands of nodes running in the cloud—all powered by multi-core processors. They need to be rich and collaborative, have a real-time feel with millisecond response time and should never stop running. Additionally, modern applications are a mashup of external services that need to be consumed and composed to provide the features at hand. We are seeing a new type of applications emerging to address these new challenges—these are being called Reactive Applications.
In this talk we will introduce you to Akka and discuss how it can help you deliver on the four key traits of Reactive; Responsive, Resilient, Elastic and Message-Driven. We will start with the basics of Akka and work our way towards some of its more advanced modules such as Akka Cluster and Akka Persistence—all driven through code and practical examples.
In Actors system, we can change State or Behaviors during runtime in actors. There are multiple ways for changing behaviors like conditional based and Hotswap but Finite State Machine(FSM) is the cleanest way. If we have finite number of state in our system then FSM is the good practice.
In this webinar slideshow, Typesafe Deputy CTO Viktor Klang looks into the world of microservices to see how these architectures emerge from the constraints of reality. We'll review the problems imposed by reality, and show how they can not only be solved, but how the constraints free us from misconceptions that are otherwise very easy to acquire.
We will also explore how distributed systems are at the heart of microservices-based architectures and how communication shapes the structure, behavior and development of the software.
#hacksummit 2016 - event-driven microservices – Events on the outside, on the...Chris Richardson
This is my presentation from #hacksummit 2016
This presentation looks at the importance of events and the role that they play in applications. We describe how events are a key application integration mechanism and how they are used by applications to communicate with the outside world. You will learn how the microservices inside a system can use events to maintain data consistency. We discuss how easy it is to implement both of these mechanisms by developing your core business logic using an event-centric approach known as event sourcing.
Scala + Akka + ning/async-http-client - Vancouver Scala meetup February 2015Yanik Berube
A presentation I gave at Vancouver's Scala Meetup in February 2015 documenting a modernization effort from PHP/Gearman to Scala/Akka/async-http-client.
Abstract: Hootsuite issues millions of requests to social networks on behalf of its users on a daily basis. These requests incur network latency costs which can accumulate rapidly and affect user experience and operations in general. This talk will review the modernization of Hootsuite's infrastructure for automated publishing via RSS/Atom feeds and how Scala, Akka, and Ning's asynchronous HTTP client were combined to effectively handle network latency. It will explore the motivations behind this effort, the approaches used, the benefits, and the lessons learned from developing and deploying this reactive service.
Codemotion akka persistence, cqrs%2 fes y otras siglas del montónJavier Santos Paniego
¿Qué me dices?¿Que puedo separar la parte de acciones de las vistas de mi aplicación?¿Que además puedo hacerlo escalable usando Akka-persistence?¿Basado en eventos?
En esta charla, el equipo de Scalera esperamos enseñaros cómo funciona la aproximación CQRS (recientemente implantada en sistemas como Lagom de Lightbend) para crear aplicaciones altamente escalables y resilient, usando Akka persistence como herramienta para poder guardar el estado de tu aplicación de manera distribuida y basada en eventos.
Si no te ha sonado a anuncio de tele-tienda pasivo-agresivo y aún te quedan ganas de descubrir que significan todas estas siglas raras, esta es tu charla.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Resilient Applications with Akka Persistence - Scaladays 2014Björn Antonsson
In this presentation you will learn how to leverage the features introduced in Akka Persistence: opt-in at-least-once delivery semantics between actors and the ability to recover application state after a crash. Both are implemented by storing immutable facts in a persisted append-only log. We will show you how to create persistent actors using command and event sourcing, replicate events with reliable communication, scale out and improve resilience with clustering.
Everyone in the Scala world is using or looking into using Akka for low-latency, scalable, distributed or concurrent systems. I'd like to share my story of developing and productionizing multiple Akka apps, including low-latency ingestion and real-time processing systems, and Spark-based applications.
When does one use actors vs futures?
Can we use Akka with, or in place of, Storm?
How did we set up instrumentation and monitoring in production?
How does one use VisualVM to debug Akka apps in production?
What happens if the mailbox gets full?
What is our Akka stack like?
I will share best practices for building Akka and Scala apps, pitfalls and things we'd like to avoid, and a vision of where we would like to go for ideal Akka monitoring, instrumentation, and debugging facilities. Plus backpressure and at-least-once processing.
Akka: Simpler Scalability, Fault-Tolerance, Concurrency & Remoting through Ac...Jonas Bonér
Akka is the platform for the next generation event-driven, scalable and fault-tolerant architectures on the JVM
We believe that writing correct concurrent, fault-tolerant and scalable applications is too hard. Most of the time it's because we are using the wrong tools and the wrong level of abstraction.
Akka is here to change that.
Using the Actor Model together with Software Transactional Memory we raise the abstraction level and provides a better platform to build correct concurrent and scalable applications.
For fault-tolerance we adopt the "Let it crash" / "Embrace failure" model which have been used with great success in the telecom industry to build applications that self-heals, systems that never stop.
Actors also provides the abstraction for transparent distribution and the basis for truly scalable and fault-tolerant applications.
Akka is Open Source and available under the Apache 2 License.
Securing Microservices using Play and Akka HTTPRafal Gancarz
Going down the microservices route makes a lot of things around creating and maintaining large systems easier but it comes at a cost too, particularly associated with challenges around security. While securing monolithic applications was a relatively well understood area, the same can't be said about microservice based architectures.
This presentation covers how implementing microservices affects the security of distributed systems, outlines pros and cons of several standards and common practices and offers practical suggestions for securing microservice based systems using Play and Akka HTTP.
Understanding Akka Streams, Back Pressure, and Asynchronous ArchitecturesLightbend
The term 'streams' has been getting pretty overloaded recently–it's hard to know where to best use different technologies with streams in the name. In this talk by noted hAkker Konrad Malawski, we'll disambiguate what streams are and what they aren't, taking a deeper look into Akka Streams (the implementation) and Reactive Streams (the standard).
You'll be introduced to a number of real life scenarios where applying back-pressure helps to keep your systems fast and healthy at the same time. While the focus is mainly on the Akka Streams implementation, the general principles apply to any kind of asynchronous, message-driven architectures.
Akka and the Zen of Reactive System DesignLightbend
In order to be successful with asynchronous programming, when coming from synchronous execution models you need to change your mindset and look at things from a slightly different perspective. In order to use Akka at it's best, you will have to change the way you think about application design (loosen coupling in space and time between components), and re-think what you've maybe learned in the past.
In this talk we uncover a number of rules that serve as a guide in designing concurrent distributed applications, how those apply to Akka, and how they can help you in daily app development.
Aimed at developers through architects, Akka team happy hAkker, Konrad Malawski, bends your parameters with regards to application design and asynchronous execution models.
Building Reactive Systems with Akka (in Java 8 or Scala)Jonas Bonér
Learn how to build Reactive Systems with Akka. Examples in both Java 8 and Scala.
Abstract:
The demands and expectations for applications have changed dramatically in recent years. Applications today are deployed on a wide range of infrastructure; from mobile devices up to thousands of nodes running in the cloud—all powered by multi-core processors. They need to be rich and collaborative, have a real-time feel with millisecond response time and should never stop running. Additionally, modern applications are a mashup of external services that need to be consumed and composed to provide the features at hand. We are seeing a new type of applications emerging to address these new challenges—these are being called Reactive Applications.
In this talk we will introduce you to Akka and discuss how it can help you deliver on the four key traits of Reactive; Responsive, Resilient, Elastic and Message-Driven. We will start with the basics of Akka and work our way towards some of its more advanced modules such as Akka Cluster and Akka Persistence—all driven through code and practical examples.
In Actors system, we can change State or Behaviors during runtime in actors. There are multiple ways for changing behaviors like conditional based and Hotswap but Finite State Machine(FSM) is the cleanest way. If we have finite number of state in our system then FSM is the good practice.
In this webinar slideshow, Typesafe Deputy CTO Viktor Klang looks into the world of microservices to see how these architectures emerge from the constraints of reality. We'll review the problems imposed by reality, and show how they can not only be solved, but how the constraints free us from misconceptions that are otherwise very easy to acquire.
We will also explore how distributed systems are at the heart of microservices-based architectures and how communication shapes the structure, behavior and development of the software.
#hacksummit 2016 - event-driven microservices – Events on the outside, on the...Chris Richardson
This is my presentation from #hacksummit 2016
This presentation looks at the importance of events and the role that they play in applications. We describe how events are a key application integration mechanism and how they are used by applications to communicate with the outside world. You will learn how the microservices inside a system can use events to maintain data consistency. We discuss how easy it is to implement both of these mechanisms by developing your core business logic using an event-centric approach known as event sourcing.
Scala + Akka + ning/async-http-client - Vancouver Scala meetup February 2015Yanik Berube
A presentation I gave at Vancouver's Scala Meetup in February 2015 documenting a modernization effort from PHP/Gearman to Scala/Akka/async-http-client.
Abstract: Hootsuite issues millions of requests to social networks on behalf of its users on a daily basis. These requests incur network latency costs which can accumulate rapidly and affect user experience and operations in general. This talk will review the modernization of Hootsuite's infrastructure for automated publishing via RSS/Atom feeds and how Scala, Akka, and Ning's asynchronous HTTP client were combined to effectively handle network latency. It will explore the motivations behind this effort, the approaches used, the benefits, and the lessons learned from developing and deploying this reactive service.
Codemotion akka persistence, cqrs%2 fes y otras siglas del montónJavier Santos Paniego
¿Qué me dices?¿Que puedo separar la parte de acciones de las vistas de mi aplicación?¿Que además puedo hacerlo escalable usando Akka-persistence?¿Basado en eventos?
En esta charla, el equipo de Scalera esperamos enseñaros cómo funciona la aproximación CQRS (recientemente implantada en sistemas como Lagom de Lightbend) para crear aplicaciones altamente escalables y resilient, usando Akka persistence como herramienta para poder guardar el estado de tu aplicación de manera distribuida y basada en eventos.
Si no te ha sonado a anuncio de tele-tienda pasivo-agresivo y aún te quedan ganas de descubrir que significan todas estas siglas raras, esta es tu charla.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
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.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
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.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
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.
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.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
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.
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.
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
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.
7. Event sourcing
Capture all changes to application
state as sequence of events
Store events in event log (append-
only)
Replay events to recover application
state
24. Abstractions
Command side Query side
Akka
Persistence
PersistentActor
PersistentView
Source[E,M]
Eventuate EventsourcedActor
EventsourcedView
EventsourcedProcessor
Source[E,M]
*) work in progress
32. Consistency
Akka Persistence and Eventuate
support strong consistency
Eventuate additionally supports
relaxation to causal consistency
33. Akka Persistence
Enforces strong consistency on
command side
PersistentActors must be global
singletons
No actor/state replication
34. Eventuate
EventsourcedActors can be replicated
State replication via reliable,
asynchronous event replication
Replication across locations
(availability zones)
59. Eventuate
Strong consistency within location*)
Causal consistency across locations
Causality is tracked with vector
clocks
*) relaxation to causal consistency also possible within location
64. FIFO rel. broadcast
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Alice
DC1
DC2
DC3
65. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Alice
- Alice: Whew, found it upstairs
DC1
DC2
DC3
FIFO rel. broadcast
66. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Alice
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
DC1
DC2
DC3
FIFO rel. broadcast
67. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Alice
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
DC1
DC2
DC3
FIFO rel. broadcast
68. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Bob
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
DC1
DC2
DC3
FIFO rel. broadcast
69. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Bob
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
DC1
DC2
DC3
FIFO rel. broadcast
70. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
DC1
DC2
DC3
Bob
FIFO rel. broadcast
71. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
DC1
DC2
DC3
FIFO rel. broadcast
Causality violation!
72. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
- Alice: Whew, found it upstairs
DC1
DC2
DC3
FIFO rel. broadcast
Retry
Causality violation!
73. Causal rel. broadcast
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
DC1
DC2
DC3
74. Causal rel. broadcast
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Bob
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
DC1
DC2
DC3
75. Causal rel. broadcast
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Bob
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
Causality
check
DC1
DC2
DC3
76. Causal rel. broadcast
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Bob
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
Causality
check
DC1
DC2
DC3
77. Causal rel. broadcast
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Bob
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
Causality
check
Causality
check
DC1
DC2
DC3
78. Causal rel. broadcast
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
Bob
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
Buffer
Causality
check
Causality
check
DC1
DC2
DC3
79. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
Buffer
Causality
check
Retry
DC1
DC2
DC3
Causal rel. broadcast
80. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
Buffer
Causality
check
- Alice: Whew, found it upstairs
Retry
DC1
DC2
DC3
Causal rel. broadcast
81. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
Buffer
Causality
check
- Bob: I’m glad to hear that
- Alice: Whew, found it upstairs
Retry
DC1
DC2
DC3
Causal rel. broadcast
82. - Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Lost my wedding ring
- Alice: Whew, found it upstairs
- Alice: Whew, found it upstairs
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
- Bob: I’m glad to hear that
- Alice: Whew, found it upstairs
Causal re-ordering
DC1
DC2
DC3
Causal rel. broadcast
83. Causal consistency
Causally related events are
delivered in same order at all
locations
Concurrent events can be delivered
in any order at different locations
87. Local event log
Storage order consistent with
causal order
Given the potential causality
relation ➞ of events
Local event logs are linear
extensions of ➞
88. Replicated event log
Same causal event storage order
at different locations
Different total event storage order
at different locations
130. Specification
“A comprehensive study of
Convergent and Commutative
Replicated Data Types”
http://hal.upmc.fr/docs/00/55/55/88/
PDF/techreport.pdf
131. Akka CvRDTs
10 implemented from specification
(incl. counters, registers, sets, maps)
In-memory only (non-durable)
Custom data types can be defined
132. Eventuate CmRDTs
4 implemented from specification
(Counter, MV/LWW-register, OR-Set)
Durable via event sourcing
Eventuate CRDT framework