How Docker Accelerates Continuous Development at ironSource: Containers #101 ...Brittany Ingram
Containers 101 meetup talk recording posted here- https://codefresh.io/blog/containers-101-meetup-docker-accelerates-continuous-development/
Shimon Tolts, General Manager/ CTO of Data Solutions at ironSouce, joined us to talk about how they leverage Docker to simplify their workflow and deliver Big Data solutions to their customers faster. He shared their experience running Docker containers in production and how they took one of their base systems, considered "the backbone of the company," and transformed it using containers.
AWS Lambda and Serverless framework: lessons learned while building a serverl...Luciano Mammino
Planet9energy.com is a new electricity company that is building a sophisticated analytics and energy trading platform for the UK market. Since the earliest days of the company we took the unconventional decision to go serverless and finally we are building the product on top of AWS Lambda and the Serverless framework using Node.js. In this talk we will discuss why we took this radical decision, what are the pros and cons of this approach and what are the main issues we faced as a tech team in our design and development experience. We will discuss how normal things like testing and deployment need to be re-thought to work on a serverless fashion but also the benefits of (almost) infinite auto-scalability and the piece of mind of not having to manage hundreds of servers. Finally we will underline how Node.js seems to fit naturally in this scenario and how it makes developing serverless applications extremely convenient.
Thanks to Padraig O'Brien and Luciano Mammino for speaking this month.
Speakers Bio:
Padraig O'Brien
Podge @Podgeypoos79 is a software engineer for over 15 years, most of that was spent developing in .NET and SQL Server, designing and building large scale data intensive applications. Lately he has shifted towards open source technologies and is spending most of his time learning Node.js, Scala and cool data tech like Spark, Cassandra. He is also working on a “super-secret” project called UnicornDB, don’t tell anybody!
In his spare time he helps out with organising some meetups like NodeSchool Dublin, NodeSchool Dun Laoghaire and teaching Kanban via Agile Lean Ireland.
Luciano Mammino
Luciano @loige is a Software Engineer born in 1987, the same year that the Nintendo released “Super Mario Bros” in Europe, which, “by chance” is his favourite game! His primary passion is code and he is extremely fascinated by the web, smart apps and everything that's creative like music, art and design. He started coding at the age of 12 using his father's old i386 provided only with DOS and the qBasic interpreter.He is a senior software developer at Planet9Energy in Dublin and he loves JavaScript (React/Node.js). He is also the co-author of "Node.js design patterns" 2nd edition (Packt, http://amzn.to/1ZF279B).
Hosted by Intercom, sponsored by Nearform and organised by Node.js Dublin (https://www.meetup.com/Dublin-Node-js-Meetup/events/236870576/)
My past-3 yeas-developer-journey-at-linkedin-by-iantsaiKim Kao
Ian Tsai shared his past 3years developer journey at Linkedin. it was about migrate monolith into microservices 3 years ago, he faced so diffcult challenges and need to have effective tools to support the change.
Leapfrog into Serverless - a Deloitte-Amtrak Case Study | Serverless Confere...Gary Arora
This talk was delivered at the Serverless Conference in New York City in 2017. Deloitte and Amtrak built a Serverless Cloud-Native solution on AWS for real-time operational datastore and near real-time reporting data mart that modernized Amtrak's legacy systems & applications. With Serverless solutions, we are able leapfrog over several rungs of computing evolution.
Gary Arora is a Cloud Solutions Architect at Deloitte Consulting, specializing on Azure & AWS.
How Docker Accelerates Continuous Development at ironSource: Containers #101 ...Brittany Ingram
Containers 101 meetup talk recording posted here- https://codefresh.io/blog/containers-101-meetup-docker-accelerates-continuous-development/
Shimon Tolts, General Manager/ CTO of Data Solutions at ironSouce, joined us to talk about how they leverage Docker to simplify their workflow and deliver Big Data solutions to their customers faster. He shared their experience running Docker containers in production and how they took one of their base systems, considered "the backbone of the company," and transformed it using containers.
AWS Lambda and Serverless framework: lessons learned while building a serverl...Luciano Mammino
Planet9energy.com is a new electricity company that is building a sophisticated analytics and energy trading platform for the UK market. Since the earliest days of the company we took the unconventional decision to go serverless and finally we are building the product on top of AWS Lambda and the Serverless framework using Node.js. In this talk we will discuss why we took this radical decision, what are the pros and cons of this approach and what are the main issues we faced as a tech team in our design and development experience. We will discuss how normal things like testing and deployment need to be re-thought to work on a serverless fashion but also the benefits of (almost) infinite auto-scalability and the piece of mind of not having to manage hundreds of servers. Finally we will underline how Node.js seems to fit naturally in this scenario and how it makes developing serverless applications extremely convenient.
Thanks to Padraig O'Brien and Luciano Mammino for speaking this month.
Speakers Bio:
Padraig O'Brien
Podge @Podgeypoos79 is a software engineer for over 15 years, most of that was spent developing in .NET and SQL Server, designing and building large scale data intensive applications. Lately he has shifted towards open source technologies and is spending most of his time learning Node.js, Scala and cool data tech like Spark, Cassandra. He is also working on a “super-secret” project called UnicornDB, don’t tell anybody!
In his spare time he helps out with organising some meetups like NodeSchool Dublin, NodeSchool Dun Laoghaire and teaching Kanban via Agile Lean Ireland.
Luciano Mammino
Luciano @loige is a Software Engineer born in 1987, the same year that the Nintendo released “Super Mario Bros” in Europe, which, “by chance” is his favourite game! His primary passion is code and he is extremely fascinated by the web, smart apps and everything that's creative like music, art and design. He started coding at the age of 12 using his father's old i386 provided only with DOS and the qBasic interpreter.He is a senior software developer at Planet9Energy in Dublin and he loves JavaScript (React/Node.js). He is also the co-author of "Node.js design patterns" 2nd edition (Packt, http://amzn.to/1ZF279B).
Hosted by Intercom, sponsored by Nearform and organised by Node.js Dublin (https://www.meetup.com/Dublin-Node-js-Meetup/events/236870576/)
My past-3 yeas-developer-journey-at-linkedin-by-iantsaiKim Kao
Ian Tsai shared his past 3years developer journey at Linkedin. it was about migrate monolith into microservices 3 years ago, he faced so diffcult challenges and need to have effective tools to support the change.
Leapfrog into Serverless - a Deloitte-Amtrak Case Study | Serverless Confere...Gary Arora
This talk was delivered at the Serverless Conference in New York City in 2017. Deloitte and Amtrak built a Serverless Cloud-Native solution on AWS for real-time operational datastore and near real-time reporting data mart that modernized Amtrak's legacy systems & applications. With Serverless solutions, we are able leapfrog over several rungs of computing evolution.
Gary Arora is a Cloud Solutions Architect at Deloitte Consulting, specializing on Azure & AWS.
Building Analytic Apps for SaaS: “Analytics as a Service”Amazon Web Services
TIBCO Jaspersoft® for AWS is a business intelligence suite that helps you deliver stunning interactive reports and dashboards inside your app that make it easy for your customers to get answers. Purpose-built for AWS, our reporting and analytics server quickly and easily connects to Amazon Relational Database Service (RDS), Amazon Redshift, and Amazon EMR. It includes ad-hoc reporting, dashboards, data analysis, data visualization, and data blending. In less than 10 minutes, you can be analyzing and reporting on your data. You get a full Cloud BI server starting at less than $1/hour, with no user or data limits and no additional fees.
This webinar deck shows how embeddable analytics with TIBCO Jaspersoft for AWS gives you the power to create the experience your end users demand and how to scale and manage that experience across your customer base with AWS.
A useful means to automate tasks in the cloud is by leveraging WebJobs hosted in Azure App Service. In this session Steef-Jan will go into the creation, deployment and operations of WebJobs. You will learn about the ins- and outs of Azure WebJobs and how they relate to other Azure Services like functions and logic apps.
Discover MongoDB Atlas and MongoDB Stitch - DEM02-S - Mexico City AWS SummitAmazon Web Services
Learn about the modernization of application development using the MongoDB platform on AWS. In this session, discover key capabilities of MongoDB Atlas for on-demand cluster deployment, high availability, horizontal scalability, and geographically distributed operations. Additionally, learn how to quickly build a website or mobile application that is backed by MongoDB and that uses the MongoDB Stitch serverless platform.
Cloud-Native Patterns for Data-Intensive ApplicationsVMware Tanzu
Are you interested in learning how to schedule batch jobs in container runtimes?
Maybe you’re wondering how to apply continuous delivery in practice for data-intensive applications? Perhaps you’re looking for an orchestration tool for data pipelines?
Questions like these are common, so rest assured that you’re not alone.
In this webinar, we’ll cover the recent feature improvements in Spring Cloud Data Flow. More specifically, we’ll discuss data processing use cases and how they simplify the overall orchestration experience in cloud runtimes like Cloud Foundry and Kubernetes.
Please join us and be part of the community discussion!
Presenters :
Sabby Anandan, Product Manager
Mark Pollack, Software Engineer, Pivotal
Stream Processing – Concepts and FrameworksGuido Schmutz
More and more data sources today provide a constant stream of data, from IoT devices to Social Media streams. It is one thing to collect these events in the velocity they arrive, without losing any single message. An Event Hub and a data flow engine can help here. It’s another thing to do some (complex) analytics on the data. There is always the option to first store in a data sink of choice and later analyze it. Storing even a high-volume event stream is feasible and not a challenge anymore. But this adds to the end-to-end latency and it takes minutes if not hours to present results. If you need to react fast, you simply can’t afford to first store the data. You need to do process it directly on the data stream. This is called Stream Processing or Stream Analytics. In this talk I will present the important concepts, a Stream Processing solution should support and then dive into some of the most popular frameworks available on the market and how they compare.
Evolution of Real-time User Engagement Event Consumption at PinterestHostedbyConfluent
"We will discuss how we at Pinterest transformed real time user engagement event consumption.
Every day, we log hundreds of billions of user engagement events across different domains to a few common Kafka topics which are consumed by hundreds of real time applications. These real time applications were built upon diverged frameworks (e.g. Spark Streaming, Storm, Flink, and internally developed frameworks using Kafka Consumer API) without standardization on processing logics. It led to repeated processing of similar logic, multiple codebases to maintain, low data quality, and inconsistency with offline datasets. These negatively impact scalability, reliability, efficiency and data accuracy of these applications and eventually affect the real-time content recommendation quality and user experience.
To address these challenges, we unified the way of consuming events in our real time applications by consolidating the compute engines to Flink, splitting events in those common topics by engagement types, generating cleansed events with standardized processing to align on business concepts. Throughout these efforts, we achieved multi-million dollar infrastructure savings and double-digit engagement gain after applications adopted those cleansed events.
Moving forward, we are implementing frameworks for better tracking and governing the Kafka events and real time use cases."
This session takes an in-depth look at:
- Trends in stream processing
- How streaming SQL has become a standard
- The advantages of Streaming SQL
- Ease of development with streaming SQL: Graphical and Streaming SQL query editors
- Business value of streaming SQL and its related tools: Domain-specific UIs
- Scalable deployment of streaming SQL: Distributed processing
In this talk, we share our experience when we build up our data pipeline. We went from mongodb, and migrated to cassandra, and now we use kafka and spark to handle our data. We also talk about what problem encounter, why we select these solutions, and where we will go next.
Serverless on Google Cloud covers a lot: compute, Cloud Functions, Cloud Run, App Engine, containers, Kubernetes, Firebase and much more. We'll also cover storage, containers vs apps vs functions, ML and AI, and much more.
Supporting Digital Media Workflows in the Cloud with Perforce HelixPerforce
Walk through a distributed, non-destructive digital media workflow with graphics, audio and video media from start to finish. Learn the pain points and challenges of versioning increasingly large and varied formats, and see various strategies and best practices for configuring and managing depots in Perforce Helix that facilitate collaborative creative work while minimizing large data transfers. You’ll leave this session with the insights and skills needed to securely support automated digital media workflows in your organization using the Perforce Helix platform with the latest cloud services.
6. DISZ - Webalkalmazások skálázhatósága a Google Cloud PlatformonMárton Kodok
Az előadás témája hogyan építhető fel egy rugalmas, jól skálázható szolgáltatás a felhőszolgáltatók platformjain. Hogyan lehet megoldani, hogy a szolgáltatás, amelynek induláskor legfeljebb néhány tíz vagy száz felhasználót kell kiszolgálnia, akár több ezer vagy nagyságrendekkel több felhasználót is képes legyen kiszolgálni rugalmasan? Hátradőlni és csodálni az autoscaling funkciót a Black Friday napján. Beszélni fogunk virtualizációról, platformszintű virtualizációről, szuperkönnyű alkalmazáskonténerekről, a munkaterhek közel valósidejű “pakolgatásával”. Bemutatásra kerül a Google Cloud Platform számos komponense. Bankok, biztosítók, webshopok és így tovább mind a cloudban látják a kitörési pontot.
Cloud Experience: Data-driven Applications Made Simple and FastDatabricks
A complex real-time data workflow implementation is very challenging. This session will describe the architecture of a data platform that provides a single, secure, high-performance system that can be deployed in a hybrid cloud architectures. We will present how to support simultaneous, consistent and high-performance access through multiple industry open source and cloud compatible standards of streaming, table, TSDB, object, and file APIs. A new serverless technology is also used in the architecture to support a dynamic and flexible implementations. The presenter will also outline how the platform was integrated with the Spark eco-system, including AI and ML tools, to simplify the development process
Building Analytic Apps for SaaS: “Analytics as a Service”Amazon Web Services
TIBCO Jaspersoft® for AWS is a business intelligence suite that helps you deliver stunning interactive reports and dashboards inside your app that make it easy for your customers to get answers. Purpose-built for AWS, our reporting and analytics server quickly and easily connects to Amazon Relational Database Service (RDS), Amazon Redshift, and Amazon EMR. It includes ad-hoc reporting, dashboards, data analysis, data visualization, and data blending. In less than 10 minutes, you can be analyzing and reporting on your data. You get a full Cloud BI server starting at less than $1/hour, with no user or data limits and no additional fees.
This webinar deck shows how embeddable analytics with TIBCO Jaspersoft for AWS gives you the power to create the experience your end users demand and how to scale and manage that experience across your customer base with AWS.
A useful means to automate tasks in the cloud is by leveraging WebJobs hosted in Azure App Service. In this session Steef-Jan will go into the creation, deployment and operations of WebJobs. You will learn about the ins- and outs of Azure WebJobs and how they relate to other Azure Services like functions and logic apps.
Discover MongoDB Atlas and MongoDB Stitch - DEM02-S - Mexico City AWS SummitAmazon Web Services
Learn about the modernization of application development using the MongoDB platform on AWS. In this session, discover key capabilities of MongoDB Atlas for on-demand cluster deployment, high availability, horizontal scalability, and geographically distributed operations. Additionally, learn how to quickly build a website or mobile application that is backed by MongoDB and that uses the MongoDB Stitch serverless platform.
Cloud-Native Patterns for Data-Intensive ApplicationsVMware Tanzu
Are you interested in learning how to schedule batch jobs in container runtimes?
Maybe you’re wondering how to apply continuous delivery in practice for data-intensive applications? Perhaps you’re looking for an orchestration tool for data pipelines?
Questions like these are common, so rest assured that you’re not alone.
In this webinar, we’ll cover the recent feature improvements in Spring Cloud Data Flow. More specifically, we’ll discuss data processing use cases and how they simplify the overall orchestration experience in cloud runtimes like Cloud Foundry and Kubernetes.
Please join us and be part of the community discussion!
Presenters :
Sabby Anandan, Product Manager
Mark Pollack, Software Engineer, Pivotal
Stream Processing – Concepts and FrameworksGuido Schmutz
More and more data sources today provide a constant stream of data, from IoT devices to Social Media streams. It is one thing to collect these events in the velocity they arrive, without losing any single message. An Event Hub and a data flow engine can help here. It’s another thing to do some (complex) analytics on the data. There is always the option to first store in a data sink of choice and later analyze it. Storing even a high-volume event stream is feasible and not a challenge anymore. But this adds to the end-to-end latency and it takes minutes if not hours to present results. If you need to react fast, you simply can’t afford to first store the data. You need to do process it directly on the data stream. This is called Stream Processing or Stream Analytics. In this talk I will present the important concepts, a Stream Processing solution should support and then dive into some of the most popular frameworks available on the market and how they compare.
Evolution of Real-time User Engagement Event Consumption at PinterestHostedbyConfluent
"We will discuss how we at Pinterest transformed real time user engagement event consumption.
Every day, we log hundreds of billions of user engagement events across different domains to a few common Kafka topics which are consumed by hundreds of real time applications. These real time applications were built upon diverged frameworks (e.g. Spark Streaming, Storm, Flink, and internally developed frameworks using Kafka Consumer API) without standardization on processing logics. It led to repeated processing of similar logic, multiple codebases to maintain, low data quality, and inconsistency with offline datasets. These negatively impact scalability, reliability, efficiency and data accuracy of these applications and eventually affect the real-time content recommendation quality and user experience.
To address these challenges, we unified the way of consuming events in our real time applications by consolidating the compute engines to Flink, splitting events in those common topics by engagement types, generating cleansed events with standardized processing to align on business concepts. Throughout these efforts, we achieved multi-million dollar infrastructure savings and double-digit engagement gain after applications adopted those cleansed events.
Moving forward, we are implementing frameworks for better tracking and governing the Kafka events and real time use cases."
This session takes an in-depth look at:
- Trends in stream processing
- How streaming SQL has become a standard
- The advantages of Streaming SQL
- Ease of development with streaming SQL: Graphical and Streaming SQL query editors
- Business value of streaming SQL and its related tools: Domain-specific UIs
- Scalable deployment of streaming SQL: Distributed processing
In this talk, we share our experience when we build up our data pipeline. We went from mongodb, and migrated to cassandra, and now we use kafka and spark to handle our data. We also talk about what problem encounter, why we select these solutions, and where we will go next.
Serverless on Google Cloud covers a lot: compute, Cloud Functions, Cloud Run, App Engine, containers, Kubernetes, Firebase and much more. We'll also cover storage, containers vs apps vs functions, ML and AI, and much more.
Supporting Digital Media Workflows in the Cloud with Perforce HelixPerforce
Walk through a distributed, non-destructive digital media workflow with graphics, audio and video media from start to finish. Learn the pain points and challenges of versioning increasingly large and varied formats, and see various strategies and best practices for configuring and managing depots in Perforce Helix that facilitate collaborative creative work while minimizing large data transfers. You’ll leave this session with the insights and skills needed to securely support automated digital media workflows in your organization using the Perforce Helix platform with the latest cloud services.
6. DISZ - Webalkalmazások skálázhatósága a Google Cloud PlatformonMárton Kodok
Az előadás témája hogyan építhető fel egy rugalmas, jól skálázható szolgáltatás a felhőszolgáltatók platformjain. Hogyan lehet megoldani, hogy a szolgáltatás, amelynek induláskor legfeljebb néhány tíz vagy száz felhasználót kell kiszolgálnia, akár több ezer vagy nagyságrendekkel több felhasználót is képes legyen kiszolgálni rugalmasan? Hátradőlni és csodálni az autoscaling funkciót a Black Friday napján. Beszélni fogunk virtualizációról, platformszintű virtualizációről, szuperkönnyű alkalmazáskonténerekről, a munkaterhek közel valósidejű “pakolgatásával”. Bemutatásra kerül a Google Cloud Platform számos komponense. Bankok, biztosítók, webshopok és így tovább mind a cloudban látják a kitörési pontot.
Cloud Experience: Data-driven Applications Made Simple and FastDatabricks
A complex real-time data workflow implementation is very challenging. This session will describe the architecture of a data platform that provides a single, secure, high-performance system that can be deployed in a hybrid cloud architectures. We will present how to support simultaneous, consistent and high-performance access through multiple industry open source and cloud compatible standards of streaming, table, TSDB, object, and file APIs. A new serverless technology is also used in the architecture to support a dynamic and flexible implementations. The presenter will also outline how the platform was integrated with the Spark eco-system, including AI and ML tools, to simplify the development process
Gradle is the build system you have been waiting for or maybe the build system that has been waiting for you. The adoption rate is incredible from being the new Google Android development tools build system to most new Java opensource projects to JavaScript based front-end and back-end projects.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
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.
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/
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.
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/
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
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
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.
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
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
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.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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.
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.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
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.
2. Cover w/ Image
Agenda
● What is Spring Cloud Data Flow?
● Spring Batch
● Spring Task
● Spring Cloud Functions
● Spring Cloud Stream Applications
● Interview with a User
● Q+A
3. What is Spring Cloud Data Flow?
● Microservice based Enterprise
Application Integration.
○ Batch Jobs
○ Tasks
○ Streams
4. What is Spring Cloud Data Flow?
● Orchestration and Deployment
○ Tanzu Application Service /
Cloud Foundry
○ Kubernetes
○ Local
5. What is Spring Cloud Data Flow?
● Observability
○ Micrometer
○ Prometheus
○ WaveFront
○ InfluxDB
○ More…
12. Batch/Task Workflows
● DSL can define complex Batch
and or Task application
topologies in addition to a
single Batch or Task
application
● Each box is a Spring Batch or
Task application.
● Application Flow can split and
join, based on optional
conditional expressions
13. How did we build Spring Cloud Data Flow?
Spring Cloud
Data Flow
Spring Boot Spring Cloud
Spring Batch Spring Integration Spring AMQP Spring Kafka
Spring Security Spring Data
14. Spring Cloud Data Flow Architecture
● Data Flow UI, REST Client or Shell
● Data Flow Server
● Skipper Server
● Messaging Middleware
20. Data ingest
Data comes in via file or web
service
Once in the DB the batch process
can consume
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25. Design
● How do you eat an elephant?
● Enable more real-time processing
● Improve the feedback loop for failures
● Use Java
● Functional programming paradigm
● How do you eat an elephant?
27. Stream processing
System is built to be event driven
Files are broken into individual
events
File and web service events are
processed by streaming
applications
All streaming apps are custom.
(Didn’t use any off the shelf
applications)
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28. Stream processing
Failures can be handled on
individual events
Streaming apps are designed to be
idempotent
Load can be spread out much
better
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Error handler
29. Batch processing
System is built to be event driven
Files are broken into individual
events
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Spring
Batch
30. Idempotent processing
● At some point you must write to the DB (sink)
● Processes are designed to be idempotent
● The sink that persists is designed to cater for items being replayed
31. Developer experience
● Everything is a Spring Boot application (Our Devs love this)
● Changes can be tested locally
● Custom templates
● Dependency management (Solution BOM)
● Easy to understand applications that are small and
do one thing
● Unit and integration testing is easy
● Containers
Paving the road to production
33. Deployment
Data Flow deployment
● Deployed to Kubernetes (using Bitnami Helm Charts)
● Message broker is Apache Kafka
● Customized to use non-OSS database
● JDK17
Stream and Batch applications
● GitOps
○ Applications are defined in git
○ Stream definition (DSL) and deployment info is in git
○ Deployments via Dataflow REST API
34. Management and Observability
Monitoring
● Application metrics (uptime, resource utilization)
● Monitor topic lag
● Logs exported via sidecar application
Scaling
● Make sure JVM properties are set (Heap memory, CPU count, GC, etc)
● Single instance of most apps
● No dynamic scaling yet
Have you heard of Enterprise Integration Patterns? SCDF provides for the deployment and orchestration of batches, tasks and streams. These are deployed as microservice based Spring Boot Applications into Cloud Foundry / Tanzu Application Service, Kubernetes or as processes on a single machine.
These are deployed as microservice based Spring Boot Applications into Cloud Foundry / Tanzu Application Service, Kubernetes or as processes on a single machine.The platform manages the availability and scalability
Micrometer should be thought of as SLF4J for metrics.
Spring Cloud Data Flow use Spring Boot, Spring Security, Spring Data and Spring Cloud Deployer modules.
I would like to introduce you to one of the rarest sightings in Open source. Vincent Chegwidden works at Discovery using Spring Cloud Data Flow.
Q: How did you get to use Spring Cloud Data Flow?
Q: So I suppose you use or create Spring Cloud Stream applications…
Q: Do you use any Spring Batch functionality?
Q: Do any of the processors have side-effects?
Q: What does the development cycle look like for your custom stream apps?
Q: How do you deploy and manage SCDF and your solution?
Future: Boot 3 support for Stream apps, Task and Batch apps and observability improvements.
Data Flow interacting with multiple deployment environments. Environments may be connected….
Polyglot apps, Web Assembly, IoT, Edge.