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B2B & Magento: a long journey tale
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Alessandro Ronchi
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Presentation of B2B project experience at Magento Unconference Netherlands 2016
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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?
Understanding Globus Data Transfers with NetSage
Understanding Globus Data Transfers with NetSage
Globus
AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Lu Qiu (Data & AI Platform Tech Lead, @Alluxio) - Siyuan Sheng (Senior Software Engineer, @Alluxio) Speed and efficiency are two requirements for the underlying infrastructure for machine learning model development. Data access can bottleneck end-to-end machine learning pipelines as training data volume grows and when large model files are more commonly used for serving. For instance, data loading can constitute nearly 80% of the total model training time, resulting in less than 30% GPU utilization. Also, loading large model files for deployment to production can be slow because of slow network or storage read operations. These challenges are prevalent when using popular frameworks like PyTorch, Ray, or HuggingFace, paired with cloud object storage solutions like S3 or GCS, or downloading models from the HuggingFace model hub. In this presentation, Lu and Siyuan will offer comprehensive insights into improving speed and GPU utilization for model training and serving. You will learn: - The data loading challenges hindering GPU utilization - The reference architecture for running PyTorch and Ray jobs while reading data from S3, with benchmark results of training ResNet50 and BERT - Real-world examples of boosting model performance and GPU utilization through optimized data access
AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...
AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...
Alluxio, Inc.
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
Advanced Flow Concepts Every Developer Should Know
Advanced Flow Concepts Every Developer Should Know
Peter Caitens
Petr Matuska, Sales & Sales Engineering Lead, GraphAware Western Australia Police Force’s adoption of Neo4j and the GraphAware Hume graph analytics platform marks a significant advancement in data-driven policing. Facing the challenges of growing volumes of valuable data scattered in disconnected silos, the organisation successfully implemented Neo4j database and Hume, consolidating data from various sources into a dynamic knowledge graph. The result was a connected view of intelligence, making it easier for analysts to solve crime faster. The partnership between Neo4j and GraphAware in this project demonstrates the transformative impact of graph technology on law enforcement’s ability to leverage growing volumes of valuable data to prevent crime and protect communities.
GraphAware - Transforming policing with graph-based intelligence analysis
GraphAware - Transforming policing with graph-based intelligence analysis
Neo4j
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.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
takuyayamamoto1800
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.
Large Language Models and the End of Programming
Large Language Models and the End of Programming
Matt Welsh
Teaching effects after 128 hours of Building Information Modeling course in Cracow, Poland. Working in Revit, Navisworks and Dynamo for BIM Coordination position. More https://bim.edu.pl or https://bimedu.eu
Agnieszka Andrzejewska - BIM School Course in Kraków
Agnieszka Andrzejewska - BIM School Course in Kraków
bim.edu.pl
AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Triston Cao (Senior Deep Learning Software Engineering Manager, @NVIDIA) From Caffe to MXNet, to PyTorch, and more, Xiande Cao, Senior Deep Learning Software Engineer Manager, will share his perspective on the evolution of deep learning frameworks.
AI/ML Infra Meetup | Perspective on Deep Learning Framework
AI/ML Infra Meetup | Perspective on Deep Learning Framework
Alluxio, Inc.
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.
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Natan Silnitsky
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/
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
informapgpstrackings
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.
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B2B & Magento: a long journey tale
1.
B2B & Magento a
long journey tale
2.
About me ● ● ● ●
3.
The journey
4.
The key to
success
5.
Premise
6.
Magento Admin Panel
7.
Which ERP?
8.
Where data come
from?
9.
Developed so far
10.
Is it still
Magento?
11.
How much did
it cost?
12.
Was it worth
it?
13.
Would I do
it again?
14.
Feature: use 4
decimals NUMBER VALUE FORMAT AS 6.9000 6.90 6.9900 6.99 6.9990 6.999 6.9909 6.9909
15.
Feature: agents
16.
Feature: customized categories
17.
Feature: product availability
18.
Feature: product saleability
19.
Feature: customized product
pages
20.
Feature: customized search
21.
Feature: customized search
result FOUND DISPLAY One product Product page Products from same category Category page Products from different categories Tree of categories
22.
Feature: customized cart
23.
Feature: customized checkout
(1/2)
24.
Feature: customized checkout
(2/2)
25.
Feature: RMA requests
26.
Feature: file export
27.
Feature: customized customers
28.
Feature: commerce documents
29.
Feature: other documents
30.
Feature: data synchronization
31.
Questions?
32.
Thank you!
Download now