Slides from http://www.meetup.com/Reactive-Systems-Hamburg/events/232887060
Barys and Simon talked about Akka Cluster. Cluster Sharding allows to transparently distribute work in an Akka cluster with automatic balancing, migration of workers and automatic restart in case of errors. Cluster PubSub offers the publish/subscribe pattern. Akka Distributed Data offers eventually consistent data structures across the cluster, that allow for keeping the cluster's state.
They talked about the Akka Modules and explained how they interplay. Finally, they shared what Risk.Ident have learned running a reactive application based on Akka Cluster in production for almost a year.
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.
CQRS (Command Query Responsibility Segregation) was all the hype in .NET architecture circles a few years back. But has it faded away? Is it old news? I argue that it hasn't, and the concepts of CQRS are alive and well and probably more widely accepted and considered today than a few years ago. From event-driven systems to the Reactive Manifesto, the principles of CQRS are with us and impacting many different tools. In this session, we'll explore those CQRS principles and how they have manifested themselves in the architectures of choice today. You'll come away with a greater appreciation of CQRS and ideas on how to incorporate those principles in your applications today.
Akka Revealed: A JVM Architect's Journey From Resilient Actors To Scalable Cl...Lightbend
By now, you’ve probably heard of Akka, the JVM toolkit for building scalable, resilient and resource efficient applications in Java or Scala. With over 12 open-source and commercial modules in the toolkit, Akka takes developers from actors on a single JVM, all the way out to network partition healing and clusters of servers distributed across fleets of JVMs. But with such a broad range of features, how can Architects and Developers grok Akka from a high-level perspective?
In this technical webinar by Hugh McKee, O’Reilly author and Developer Advocate at Lightbend, we introduce Akka from A to Z, starting with a tour from the humble actor and finishing all the way at the clustered systems level. Specifically, we will review:
*How Akka Actors behave, create systems, and manage supervision and routing
*The way Akka embraces Reactive Streams with Akka Streams and Alpakka
*How various components of the Akka toolkit provide out-of-the-box solutions for distributed data, distributed persistence, pub-sub, and ES/CQRS
*How Akka works with microservices, and brings this functionality into Lagom and Play Frameworks
*Looking at Akka clusters, how Akka is used to build distributed clustered systems incorporate clusters within clusters
*What’s needed to orchestrate and deploy complete Reactive Systems
Slides from http://www.meetup.com/Reactive-Systems-Hamburg/events/232887060
Barys and Simon talked about Akka Cluster. Cluster Sharding allows to transparently distribute work in an Akka cluster with automatic balancing, migration of workers and automatic restart in case of errors. Cluster PubSub offers the publish/subscribe pattern. Akka Distributed Data offers eventually consistent data structures across the cluster, that allow for keeping the cluster's state.
They talked about the Akka Modules and explained how they interplay. Finally, they shared what Risk.Ident have learned running a reactive application based on Akka Cluster in production for almost a year.
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.
CQRS (Command Query Responsibility Segregation) was all the hype in .NET architecture circles a few years back. But has it faded away? Is it old news? I argue that it hasn't, and the concepts of CQRS are alive and well and probably more widely accepted and considered today than a few years ago. From event-driven systems to the Reactive Manifesto, the principles of CQRS are with us and impacting many different tools. In this session, we'll explore those CQRS principles and how they have manifested themselves in the architectures of choice today. You'll come away with a greater appreciation of CQRS and ideas on how to incorporate those principles in your applications today.
Akka Revealed: A JVM Architect's Journey From Resilient Actors To Scalable Cl...Lightbend
By now, you’ve probably heard of Akka, the JVM toolkit for building scalable, resilient and resource efficient applications in Java or Scala. With over 12 open-source and commercial modules in the toolkit, Akka takes developers from actors on a single JVM, all the way out to network partition healing and clusters of servers distributed across fleets of JVMs. But with such a broad range of features, how can Architects and Developers grok Akka from a high-level perspective?
In this technical webinar by Hugh McKee, O’Reilly author and Developer Advocate at Lightbend, we introduce Akka from A to Z, starting with a tour from the humble actor and finishing all the way at the clustered systems level. Specifically, we will review:
*How Akka Actors behave, create systems, and manage supervision and routing
*The way Akka embraces Reactive Streams with Akka Streams and Alpakka
*How various components of the Akka toolkit provide out-of-the-box solutions for distributed data, distributed persistence, pub-sub, and ES/CQRS
*How Akka works with microservices, and brings this functionality into Lagom and Play Frameworks
*Looking at Akka clusters, how Akka is used to build distributed clustered systems incorporate clusters within clusters
*What’s needed to orchestrate and deploy complete Reactive Systems
Akka and AngularJS – Reactive Applications in PracticeRoland Kuhn
Imagine how you are setting out to implement that awesome idea for a new application. In the back-end you enjoy the horizontal and vertical scalability offered by the Actor model, and its great support for building resilient systems through distribution and supervision hierarchies. In the front-end you love the declarative way of writing rich and interactive web apps that AngularJS gives you. In this presentation we bring these two together, demonstrating how little effort is needed to obtain a responsive user experience with fully consistent and persistent data storage on the server side.
See also http://summercamp.trivento.nl/
Akka A to Z: A Guide To The Industry’s Best Toolkit for Fast Data and Microse...Lightbend
Microservices. Streaming data. Event Sourcing and CQRS. Concurrency, routing, self-healing, persistence, clustering… You get the picture. The Akka toolkit makes all of this simple for Java and Scala developers at Amazon, LinkedIn, Starbucks, Verizon and others. So how does Akka provide all these features out of the box?
Join Hugh McKee, Akka expert and Developer Advocate at Lightbend, on an illustrated journey that goes deep into how Akka works–from individual Akka actors to fully distributed clusters across multiple datacenters.
Application development has come a long way. From client-server, to desktop, to web based applications served by monolithic application servers, the need to serve billions of users and hundreds of devices have become crucial to today's business. Typesafe Reactive Platform helps you to modernize your applications by transforming the most critical parts into microservice-style architectures which support extremely high workloads and allow you to serve millions of end-users.
Introduction to Akka.NET and Akka.Clusterpetabridge
Demands and expectations for .NET developers have never been higher.
We're expected increase customer value against higher and higher expectations; deliver our services and content across a greater variety of devices; retain, analyze, and use ever-growing volumes of data faster; and to do all of this while being available 24/7.
That's a tall order, but it's one that is being done successfully by .NET companies all over the world - right now.
In this webinar, lead by Petabridge CEO Aaron Stannard, we're going to cover how the obvious ways of scaling software in the past are doomed to fail and how .NET shops are developing and deploying their own distributed systems to tackle these problems efficiently and effectively using Akka.NET and Akka.Cluster.
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.
The talk was given on local JUG meetup back in 2014. The purpose of the talk was to give an overview of the Akka library for the Java-programmers audience who have never used it before. My first appearance as a public speaker
Do you know, being a Java dev, how to manage development environments with less effort? How to achieve continuous delivery using immutable server concept? How to manage set up a cloud within your workstation and many more? It might be the case you know, I bet it's much more easier to do with Docker.
DevOps.2D: two dimensions of engineeringAntons Kranga
My DevOps engineering presentation at OpenSlava conference, Bratislava, October 2018. This talk is about important engineering concerns related to infrastructure Deployment and application Delivery
Over the past few years, web-applications have started to play an increasingly important role in our lives. We expect them to be always available and the data to be always fresh. This shift into the realm of real-time data processing is now transitioning to physical devices, and Gartner predicts that the Internet of Things will grow to an installed base of 26 billion units by 2020.
Reactive web-applications are an answer to the new requirements of high-availability and resource efficiency brought by this rapid evolution. On the JVM, a set of new languages and tools has emerged that enable the development of entirely asynchronous request and data handling pipelines. At the same time, container-less application frameworks are gaining increasing popularity over traditional deployment mechanisms.
This talk is going to give you an introduction into one of the most trending reactive web-application stack on the JVM, involving the Scala programming language, the concurrency toolkit Akka and the web-application framework Play. It will show you how functional programming techniques enable asynchronous programming, and how those technologies help to build robust and resilient web-applications.
Introduction to Akka 2. Explains what Akka's actors are all about and how to utilize them to write scalable and fault-tolerant systems.
Talk given at JavaZone 2012.
Lightbend Training for Scala, Akka, Play Framework and Apache SparkLightbend
Having a team adopt new technologies and approaches to software development is a daunting task. New paradigms and unfamiliar ontologies headline the biggest risks to having a team be productive quickly. Lightbend (formerly Typesafe) has a suite of training classes to help you adopt whatever components of the Lightbend Reactive Platform you need to be responsive to you customers by creating resilient and elastic applications.
In this webinar, we will discuss the philosophies and structures of Lightbend's training materials for Scala, Akka, Play Framework, and Spark.
DotNext 2020 - When and How to Use the Actor Model and Akka.NETpetabridge
The actor model is an old computer science concept, originating in 1973 and it laid dormant is largely a thought experiment for most of its history until the rise of the Internet. Now in the era of cheap, commodity cloud computing the actor model is staging a major comeback across all programming languages and runtimes, both for building distributed systems and for creating reactive mobile or desktop applications.
In this talk, we will introduce the actor model through the use of Akka.NET, the most popular distributed actor model framework in .NET. We'll talk about what sorts of problems it solves well when you should use it, and what are some of the adoption costs and overhead involved in using a tool like Akka.NET.
By the time you're finished with this talk, you should be familiar with most of the major Akka.NET and actor model concepts, basic Akka.NET syntax, and some ideas for how you might be able to use actors in your place of work. This talk is intended for developers, architects, and team leads.
Lesfurest.com invited me to talk about the KAPPA Architecture style during a BBL.
Kappa architecture is a style for real-time processing of large volumes of data, combining stream processing, storage, and serving layers into a single pipeline. It's different from the Lambda architecture, uses separate batch and stream processing pipelines.
Akka and AngularJS – Reactive Applications in PracticeRoland Kuhn
Imagine how you are setting out to implement that awesome idea for a new application. In the back-end you enjoy the horizontal and vertical scalability offered by the Actor model, and its great support for building resilient systems through distribution and supervision hierarchies. In the front-end you love the declarative way of writing rich and interactive web apps that AngularJS gives you. In this presentation we bring these two together, demonstrating how little effort is needed to obtain a responsive user experience with fully consistent and persistent data storage on the server side.
See also http://summercamp.trivento.nl/
Akka A to Z: A Guide To The Industry’s Best Toolkit for Fast Data and Microse...Lightbend
Microservices. Streaming data. Event Sourcing and CQRS. Concurrency, routing, self-healing, persistence, clustering… You get the picture. The Akka toolkit makes all of this simple for Java and Scala developers at Amazon, LinkedIn, Starbucks, Verizon and others. So how does Akka provide all these features out of the box?
Join Hugh McKee, Akka expert and Developer Advocate at Lightbend, on an illustrated journey that goes deep into how Akka works–from individual Akka actors to fully distributed clusters across multiple datacenters.
Application development has come a long way. From client-server, to desktop, to web based applications served by monolithic application servers, the need to serve billions of users and hundreds of devices have become crucial to today's business. Typesafe Reactive Platform helps you to modernize your applications by transforming the most critical parts into microservice-style architectures which support extremely high workloads and allow you to serve millions of end-users.
Introduction to Akka.NET and Akka.Clusterpetabridge
Demands and expectations for .NET developers have never been higher.
We're expected increase customer value against higher and higher expectations; deliver our services and content across a greater variety of devices; retain, analyze, and use ever-growing volumes of data faster; and to do all of this while being available 24/7.
That's a tall order, but it's one that is being done successfully by .NET companies all over the world - right now.
In this webinar, lead by Petabridge CEO Aaron Stannard, we're going to cover how the obvious ways of scaling software in the past are doomed to fail and how .NET shops are developing and deploying their own distributed systems to tackle these problems efficiently and effectively using Akka.NET and Akka.Cluster.
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.
The talk was given on local JUG meetup back in 2014. The purpose of the talk was to give an overview of the Akka library for the Java-programmers audience who have never used it before. My first appearance as a public speaker
Do you know, being a Java dev, how to manage development environments with less effort? How to achieve continuous delivery using immutable server concept? How to manage set up a cloud within your workstation and many more? It might be the case you know, I bet it's much more easier to do with Docker.
DevOps.2D: two dimensions of engineeringAntons Kranga
My DevOps engineering presentation at OpenSlava conference, Bratislava, October 2018. This talk is about important engineering concerns related to infrastructure Deployment and application Delivery
Over the past few years, web-applications have started to play an increasingly important role in our lives. We expect them to be always available and the data to be always fresh. This shift into the realm of real-time data processing is now transitioning to physical devices, and Gartner predicts that the Internet of Things will grow to an installed base of 26 billion units by 2020.
Reactive web-applications are an answer to the new requirements of high-availability and resource efficiency brought by this rapid evolution. On the JVM, a set of new languages and tools has emerged that enable the development of entirely asynchronous request and data handling pipelines. At the same time, container-less application frameworks are gaining increasing popularity over traditional deployment mechanisms.
This talk is going to give you an introduction into one of the most trending reactive web-application stack on the JVM, involving the Scala programming language, the concurrency toolkit Akka and the web-application framework Play. It will show you how functional programming techniques enable asynchronous programming, and how those technologies help to build robust and resilient web-applications.
Introduction to Akka 2. Explains what Akka's actors are all about and how to utilize them to write scalable and fault-tolerant systems.
Talk given at JavaZone 2012.
Lightbend Training for Scala, Akka, Play Framework and Apache SparkLightbend
Having a team adopt new technologies and approaches to software development is a daunting task. New paradigms and unfamiliar ontologies headline the biggest risks to having a team be productive quickly. Lightbend (formerly Typesafe) has a suite of training classes to help you adopt whatever components of the Lightbend Reactive Platform you need to be responsive to you customers by creating resilient and elastic applications.
In this webinar, we will discuss the philosophies and structures of Lightbend's training materials for Scala, Akka, Play Framework, and Spark.
DotNext 2020 - When and How to Use the Actor Model and Akka.NETpetabridge
The actor model is an old computer science concept, originating in 1973 and it laid dormant is largely a thought experiment for most of its history until the rise of the Internet. Now in the era of cheap, commodity cloud computing the actor model is staging a major comeback across all programming languages and runtimes, both for building distributed systems and for creating reactive mobile or desktop applications.
In this talk, we will introduce the actor model through the use of Akka.NET, the most popular distributed actor model framework in .NET. We'll talk about what sorts of problems it solves well when you should use it, and what are some of the adoption costs and overhead involved in using a tool like Akka.NET.
By the time you're finished with this talk, you should be familiar with most of the major Akka.NET and actor model concepts, basic Akka.NET syntax, and some ideas for how you might be able to use actors in your place of work. This talk is intended for developers, architects, and team leads.
Lesfurest.com invited me to talk about the KAPPA Architecture style during a BBL.
Kappa architecture is a style for real-time processing of large volumes of data, combining stream processing, storage, and serving layers into a single pipeline. It's different from the Lambda architecture, uses separate batch and stream processing pipelines.
SMACK Stack - Fast Data Done Right by Stefan Siprell at Codemotion DubaiCodemotion Dubai
A talk covering the best-of-breed platform consisting of Spark, Mesos, Akka, Cassandra and Kafka. SMACK is more of a toolbox of technologies to allow the building of resilient ingestion pipelines, offering a high degree of freedom in the selection of analysis and query possibilities and baked in support for flow-control. More and more customers are using this stack, which is rapidly becoming the new industry standard for Big Data solutions. Session can be seen here - in German - https://speakerdeck.com/stefan79/fast-data-smack-down
Ten reasons to choose Apache Pulsar over Apache Kafka for Event Sourcing_Robe...StreamNative
More and more developer want to build cloud-native distributed application or microservices by making use of high performing, cloud-agnostic messaging technology for maximum decoupling. The only thing we do not want is the hassle of managing the complex message infrasturcture needed for the job, or the risk of getting into a vendor lock-in. Generally developers know Apache Kafka, but for event sourcing or the CQRS pattern Kafka is not really suitable. In this talk I will give you at least ten reasons why to choose Pulsar over Kafka for event sourcing and data consensus.
CouchDB at its Core: Global Data Storage and Rich Incremental Indexing at Clo...StampedeCon
At the StampedeCon 2013 Big Data conference in St. Louis, Adam Kocoloski, CoFounder & CTO of Cloudant, CouchDB Expert, discussed CouchDB at its Core: Global Data Storage and Rich Incremental Indexing at Cloudant - StampedeCon 2013. Cloudant operates database clusters comprising 100+ nodes based on BigCouch, the company’s fork of CouchDB. Key elements of CouchDB’s design have proven instrumental to success at this scale, including version histories, append-only storage, and multi-master replication. In this talk, Cloudant CoFounder and Apache CouchDB Committer Adam Kocoloski will discuss lessons learned from running production CouchDB clusters bigger than many wellpublicized Hadoop deployments, and how Cloudant’s experience at scale is informing development work on the next release of Apache CouchDB.
Our new product (Clicktale Experience cloud) requires processing up to half a million messages per second, sessionizing each "users" journey throughout a web page. In this talk we'll discuss how we have achieved that using Spark's stateful streaming capabilities with only few servers in production, the challenges we've faced and how we've solved them. We'll also take a look at Spark 2.2 (the brand new version) and its new stateful aggregation and talk about how we've used it in order to improve performance significantly.
Melbourne Big Data Meetup Talk: Scaling a Real-Time Anomaly Detection Applica...Paul Brebner
Apache Kafka, Apache Cassandra and Kubernetes are open source big data technologies enabling applications and business operations to scale massively and rapidly. While Kafka and Cassandra underpins the data layer of the stack providing capability to stream, disseminate, store and retrieve data at very low latency, Kubernetes is a container orchestration technology that helps in automated application deployment and scaling of application clusters.
In this presentation, Paul will reveal how he architected a massive scale deployment of a streaming data pipeline with Kafka and Cassandra to cater to an example Anomaly detection application running on a Kubernetes cluster and generating and processing massive amount of events. Anomaly detection is a method used to detect unusual events in an event stream.
It is widely used in a range of applications such as financial fraud detection, security, threat detection, website user analytics, sensors, IoT, system health monitoring, etc. When such applications operate at massive scale generating millions or billions of events, they impose significant computational, performance and scalability challenges to anomaly detection algorithms and data layer technologies. Paul will demonstrate the scalability, performance and cost effectiveness of Apache Kafka, Cassandra and Kubernetes, with results from his experiments allowing the Anomaly detection application to scale to 19 Billion anomaly checks per day.
Melbourne Big Data Meetup, March 5 2020
https://www.eventbrite.com/e/melbourne-big-data-meetup-realtime-anomaly-detection-with-cassandra-kafka-tickets-93028445585
Running Apache Kafka in production is only the first step in the Kafka operations journey. Professional Kafka users are ready to handle all possible disasters - because for most businesses having a disaster recovery plan is not optional.
In this session, we’ll discuss disaster scenarios that can take down entire Kafka clusters and share advice on how to plan, prepare and handle these events. This is a technical session full of best practices - we want to make sure you are ready to handle the worst mayhem that nature and auditors can cause.
Visit www.confluent.io for more information.
Writing concurrent programs that can run in multiple threads and on multiple cores is crucial but daunting. Futures provides a convenient abstraction for many problem domains. The online course "Intermediate Scala" includes an up-to-date discussion of futures and the parts of java.util.concurrent that underlie the Scala futures implementation. Unlike Java's futures, Scala futures supports composition, transformations and sophisticated callbacks.
The author is managing editor of http://scalacourses.com, which offers self-paced online courses that teach Introductory and Intermediate Scala and Play Framework.
Embrace NoSQL and Eventual Consistency with RippleSean Cribbs
So, there's this "NoSQL" thing you may have heard of, and this related thing called "eventual consistency". Supposedly, they help you scale, but no one has ever explained why! Well, wonder no more! This talk will demystify NoSQL, eventual consistency, how they might help you scale, and -- most importantly -- why you should care.
We'll look closely at how Riak, a linearly-scalable, distributed and fault-tolerant NoSQL datastore, implements eventual consistency, and how you can harness it from Ruby via the slick Ripple client/ORM. When the talk is finished, you'll have the tools both to understand eventual consistency and to handle it like a pro inside your next Ruby application.
Typesafe & William Hill: Cassandra, Spark, and Kafka - The New Streaming Data...DataStax Academy
Typesafe did a survey of Spark usage last year and found that a large percentage of Spark users combine it with Cassandra and Kafka. This talk focuses on streaming data scenarios that demonstrate how these three tools complement each other for building robust, scalable, and flexible data applications. Cassandra provides resilient and scalable storage, with flexible data format and query options. Kafka provides durable, scalable collection of streaming data with message-queue semantics. Spark provides very flexible analytics, everything from classic SQL queries to machine learning and graph algorithms, running in a streaming model based on "mini-batches", offline batch jobs, or interactive queries. We'll consider best practices and areas where improvements are needed.
Datadog: a Real-Time Metrics Database for One Quadrillion Points/DayC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2mAKgJi.
Ian Nowland and Joel Barciauskas talk about the challenges Datadog faces as the company has grown its real-time metrics systems that collect, process, and visualize data to the point they now handle trillions of points per day. They also talk about how the architecture has evolved, and what they are looking to in the future as they architect for a quadrillion points per day. Filmed at qconnewyork.com.
Ian Nowland is the VP Engineering Metrics and Alerting at Datadog. Joel Barciauskas currently leads Datadog's distribution metrics team, providing accurate, low latency percentile measures for customers across their infrastructure.
Using the SDACK Architecture to Build a Big Data ProductEvans Ye
You definitely have heard about the SMACK architecture, which stands for Spark, Mesos, Akka, Cassandra, and Kafka. It’s especially suitable for building a lambda architecture system. But what is SDACK? Apparently it’s very much similar to SMACK except the “D" stands for Docker. While SMACK is an enterprise scale, multi-tanent supported solution, the SDACK architecture is particularly suitable for building a data product. In this talk, I’ll talk about the advantages of the SDACK architecture, and how TrendMicro uses the SDACK architecture to build an anomaly detection data product. The talk will cover:
1) The architecture we designed based on SDACK to support both batch and streaming workload.
2) The data pipeline built based on Akka Stream which is flexible, scalable, and able to do self-healing.
3) The Cassandra data model designed to support time series data writes and reads.
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 Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
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.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
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!
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/
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.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
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.
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/
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
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
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.
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
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AI Pilot Review: Key Features
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✅More than 85 AI features are included in the AI pilot.
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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
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
3. Bank Database
Question 1: Is the balance in your bank account a value from a column
on a row in a relational database?
4. Bank Database
Question 1: Is the balance in your bank account a value from a column
on a row in a relational database?
Question 2: How many of you would be comfortable if it were a value
from a column/row?
5. Bank Database
Question 1: Is the balance in your bank account a value from a column
on a row in a relational database?
Question 2: How many of you would be comfortable if it were a value
from a column/row?
“Bank balance is an equation”
6. Shopping Cart for a Event
• T1: Tickets go on sale at: ₹100
• T2: 10 Tickets sold
• T3: Ticket price increased to: ₹200
• T4: 2 tickets purchased between T1 and T2 get cancelled
7. • Every update or delete from a database results in
loss of data
• Databases with constant updates and deletes are
actually ‘shared mutable state’ of an application.
And ‘shared mutable state’ is evil
9. Event Sourcing
Journal of Immutable Facts aka Events in an append
only fashion
Event sourcing is actually just functional code
10. … thats NOT a practical database
• it will have too much data…
11. … thats NOT a practical database
• it will have too much data…
– storage will only getting cheaper
– tradeoff: data loss vs. volumes
– not for every problem: when data is important
12. … thats NOT a practical database
• it will have too much data…
– storage will only getting cheaper
– tradeoff: data loss vs. volumes
– not for every problem: when data is important
• every read will be a full table scan…
13. … thats NOT a practical database
• it will have too much data…
– storage will only getting cheaper
– tradeoff: data loss vs. volumes
– not for every problem: when data is important
• every read will be a full table scan…
– periodic rollup or snapshot
– snapshot: in functional programming, that is, current state = foldLeft (previous
states)
14. … thats NOT a practical database
• it will have too much data…
– storage will only getting cheaper
– tradeoff: data loss vs. volumes
– not for every problem: when data is important
• every read will be a full table scan…
– periodic rollup or snapshot
– snapshot: in functional programming, that is, current state = foldLeft (previous
states)
• how do you even model an application with this thing...
15. … thats NOT a practical database
• it will have too much data…
– storage will only getting cheaper
– tradeoff: data loss vs. volumes
– not for every problem: when data is important
• every read will be a full table scan…
– periodic rollup or snapshot
– snapshot: in functional programming, that is, current state = foldLeft (previous
states)
• how do you even model an application with this thing...
– CQRS
16. CQRS
• Command Query Responsibility Segregation
• CQRS says read and write paths need to be handled separately by applications
• Segregation because reads and writes almost always have very different
properties in every system
– Difference in order of magnitude of each in a system
– Difference in SLA
• Build them separately so that both can be scale. Using a singular layer like ORM
for both cannot be scaled
17.
18. How to keep the write-side journal and read-side data-
store best effort consistent?
Akka allows the events created via commands to be sent
across to the read side to keep read models consistent
and update them quickly
23. Persistence Query
• Persistent Query actors send responses to incoming query messages
• Polls the Journal
• Each persistence query tracks either of:
– a single persistence-id
– a ‘tag’ shared by events of different persistent-ids
• Different options to build ‘materialization’ (snapshot) in persistent queries depending on
how one may want to materialize and the capabilities exposed by underlying Journal store
• Different types of persistence query actors would be needed in an application based on the
domain and queries
26. Akka persistence magic
1. No direct function calls or message passing between read and write side
!
2. Restart the application to see the automatic state recovery !!
27. Akka persistence magic
1. No direct function calls or message passing between read and write side
!
2. Restart the application to see the automatic state recovery !!
3. Underneath, Akka plumbs the read and write side when they are on the
same JVM to reduce round-trip and faster read side updates !!!
28. Akka persistence magic
1. No direct function calls or message passing between read and write side
!
2. Restart the application to see the automatic state recovery !!
3. Underneath, Akka plumbs the read and write side when they are on the
same JVM to reduce round-trip and faster read side updates !!!
4. Mix this with Akka clustering and a distributed journal to scale
horizontally !!!!
29. Akka Addendum
• Akka Persistence View is deprecated and Persistence Query takes its place
• Akka Persistence Actors (Write side) have to be cluster singletons
• Just using Akka Clustering with Akka Persistence severely limits the possibilities
since cluster singletons in clustering are always placed on the oldest node. To
control actor placement within the cluster, use Akka Sharding
• Different CQRS implementations with Akka:
– ‘Eventsourced’ was the first CQRS project on Akka. It supported up to Akka 2.2.0. Akka
persistence is influenced by it and was released in Akka 2.4.0. ‘Eventsourced’ is now legacy
– ‘Eventuate’ is an alternative to Akka persistence. It seems to have more features than Akka
persistence
– Experimental
30. How to design a system or app with ES and CQRS… ?
• How to model Persistent Actors? How to model Persistent Query’s?
• Designing commands and events and aggregates
31. How to design a system or app with ES and CQRS… ?
• How to model Persistent Actors? How to model Persistent Query’s?
• Designing commands and events and aggregates
• DDD domain driven design
– Eventual consistency
– No distributed transactions
– Many more…
32. References
• Akka Persistence Documentation
• Greg Young: CQRS and Event Sourcing -
https://www.youtube.com/watch?v=JHGkaShoyNs
• Sander Mak: Event Sourced Architectures with Akka -
https://www.youtube.com/watch?v=vFVry457XLk
• Martin Krasser: Event Sourcing and CQRS with Akka Persistence and Eventuate
- https://www.youtube.com/watch?v=vFVry457XLk
Editor's Notes
Example of ticket sale. Command would be the sale which includes debit from a card. Event is a sale. On replay we don’t want the debit to happen again. So application needs to separate the part of sale that debits money to that of the selling of the ticket that will help restore application state