Machine Learning & Artificial Intelligence - Machine Controlled Data Dispensa...STePINForum
by Muthuvenkatesh Sivakadatcham, Principal Test Consultant & Karthikeyan Mani, Technology Test Lead, Infosys at STeP-IN SUMMIT 2018 - 15th International Conference on Software Testing on August 30, 2018 at Taj, MG Road, Bengaluru
#ATAGTR2021 Presentation : "Chaos engineering: Break it to make it" by Anupa...Agile Testing Alliance
Interactive Session on "Chaos engineering: Break it to make it" by Anupam Agarwal,Nagarro, Peeyush Girdhar, Cloud / DevOps Nagarro. at #ATAGTR2021.
#ATAGTR2021 was the 6th Edition of Global Testing Retreat.
The video recording of the session is now available on the following link: https://www.youtube.com/watch?v=4bM4f8xNp2A
To know more about #ATAGTR2021, please visit:https://gtr.agiletestingalliance.org/
Subutai Ahmad, VP of Research, Numenta at MLconf SF - 11/13/15MLconf
Real-time Anomaly Detection for Real-time Data Needs: Much of the world’s data is becoming streaming, time-series data, where anomalies give significant information in often-critical situations. Examples abound in domains such as finance, IT, security, medical, and energy. Yet detecting anomalies in streaming data is a difficult task, requiring detectors to process data in real-time, not batches, and learn while simultaneously making predictions. Are there algorithms up for the challenge? Which are the most capable? The Numenta Anomaly Detection Benchmark (NAB) attempts to provide a controlled and repeatable environment of open-source tools to test and measure anomaly detection algorithms on streaming data. The perfect detector would detect all anomalies as soon as possible, trigger no false alarms, work with real-world time-series data across a variety of domains, and automatically adapt to changing statistics. These characteristics are formalized in NAB, using a custom scoring algorithm to evaluate the detectors on a benchmark dataset with labeled, real-world time-series data. We present these components, and describe the end-to-end scoring process. We give results and analyses for several algorithms to illustrate NAB in action. The goal for NAB is to provide a standard, open-source framework for which we can compare and evaluate different algorithms for detecting anomalies in streaming data.
Predictive Analytics based Regression Test OptimizationSTePINForum
by Raja Balusamy, Group Manager & Shivakumar Balur, Senior Chief Engineer, Samsung R&D at STeP-IN SUMMIT 2018 - 15th International Conference on Software Testing on August 30, 2018 at Taj, MG Road, Bengaluru
Technical specialist Tom Miseur conducted a webinar discussing the basics of getting started with performance and load testing. Learn how to create a PTP (performance test plan), define requirements and objectives, define test scope and approach, and then finally how to create, execute, and analyze test results.
Code to Release using Artificial Intelligence and Machine LearningSTePINForum
by Nataraj Narayan, Managing Director, AutonomIQ at STeP-IN SUMMIT 2018 15th International Conference on Software Testing on August 31, 2018 at Taj, MG Road, Bengaluru
Quality engineering in a world with AI and IoTSTePINForum
by Madhusudan Shekar, Principal Evangelist, Amazon at STeP-IN SUMMIT 2018 - 15th International Conference on Software Testing on August 30, 2018 at Taj, MG Road, Bengaluru
Machine Learning & Artificial Intelligence - Machine Controlled Data Dispensa...STePINForum
by Muthuvenkatesh Sivakadatcham, Principal Test Consultant & Karthikeyan Mani, Technology Test Lead, Infosys at STeP-IN SUMMIT 2018 - 15th International Conference on Software Testing on August 30, 2018 at Taj, MG Road, Bengaluru
#ATAGTR2021 Presentation : "Chaos engineering: Break it to make it" by Anupa...Agile Testing Alliance
Interactive Session on "Chaos engineering: Break it to make it" by Anupam Agarwal,Nagarro, Peeyush Girdhar, Cloud / DevOps Nagarro. at #ATAGTR2021.
#ATAGTR2021 was the 6th Edition of Global Testing Retreat.
The video recording of the session is now available on the following link: https://www.youtube.com/watch?v=4bM4f8xNp2A
To know more about #ATAGTR2021, please visit:https://gtr.agiletestingalliance.org/
Subutai Ahmad, VP of Research, Numenta at MLconf SF - 11/13/15MLconf
Real-time Anomaly Detection for Real-time Data Needs: Much of the world’s data is becoming streaming, time-series data, where anomalies give significant information in often-critical situations. Examples abound in domains such as finance, IT, security, medical, and energy. Yet detecting anomalies in streaming data is a difficult task, requiring detectors to process data in real-time, not batches, and learn while simultaneously making predictions. Are there algorithms up for the challenge? Which are the most capable? The Numenta Anomaly Detection Benchmark (NAB) attempts to provide a controlled and repeatable environment of open-source tools to test and measure anomaly detection algorithms on streaming data. The perfect detector would detect all anomalies as soon as possible, trigger no false alarms, work with real-world time-series data across a variety of domains, and automatically adapt to changing statistics. These characteristics are formalized in NAB, using a custom scoring algorithm to evaluate the detectors on a benchmark dataset with labeled, real-world time-series data. We present these components, and describe the end-to-end scoring process. We give results and analyses for several algorithms to illustrate NAB in action. The goal for NAB is to provide a standard, open-source framework for which we can compare and evaluate different algorithms for detecting anomalies in streaming data.
Predictive Analytics based Regression Test OptimizationSTePINForum
by Raja Balusamy, Group Manager & Shivakumar Balur, Senior Chief Engineer, Samsung R&D at STeP-IN SUMMIT 2018 - 15th International Conference on Software Testing on August 30, 2018 at Taj, MG Road, Bengaluru
Technical specialist Tom Miseur conducted a webinar discussing the basics of getting started with performance and load testing. Learn how to create a PTP (performance test plan), define requirements and objectives, define test scope and approach, and then finally how to create, execute, and analyze test results.
Code to Release using Artificial Intelligence and Machine LearningSTePINForum
by Nataraj Narayan, Managing Director, AutonomIQ at STeP-IN SUMMIT 2018 15th International Conference on Software Testing on August 31, 2018 at Taj, MG Road, Bengaluru
Quality engineering in a world with AI and IoTSTePINForum
by Madhusudan Shekar, Principal Evangelist, Amazon at STeP-IN SUMMIT 2018 - 15th International Conference on Software Testing on August 30, 2018 at Taj, MG Road, Bengaluru
Peeling the Inkjet Onion: Demystifying Nozzle out detection and compensationMeteor Inkjet Ltd
Meteor's Jonathan Wilson reveals how to understand and address the issue in his talk 'Peeling the inkjet onion: Nozzle out detection and compensation' at the IJC 2018.
Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...Compuware
See four real-life examples of how CPT Global--a worldwide IT consulting services firm specializing in capacity planning, performance tuning and testing--uses Compuware Strobe for application performance monitoring and analysis to help customers save CPU by identifying inefficiencies in:
• COBOL code
• VSAM access
• A vendor product
• CICS system settings
Data Center Heat Monitoring Using Wireless Sensor NetworksBradford Bazemore
Previous methods for monitoring these temperatures
are costly and difficult to modify once implemented.
Multiple TelosB nodes were placed in strategic locations
based on knowledge of basic heat flow in data centers, to
collect temperature readings. It was possible to gather data
matching the predictions of their placement, and detecting
alarming trends in the data center’s environment. The result
is a portable, cost-effective, and energy efficient method for
gathering precise temperature readings from data centers.
This presentation discusses the tools used for simulation training before and after the Fukushima nuclear event. It also discusses the practicality of these new tools and what next steps should be taken for nuclear training. Visit gses.com and follow GSE Systems on Twitter at @GSESystems
A journey on the automation path.
Notes on how to migrate existing infrastructures to automation and how to introduce configuration management tools like Puppet, Chef, CFEngine on manually managed systems.
Operational Excellence Webinar
Handy tricks for turning your data into gold
The future of industry is connected - Data from processes opens for previously unknown potential for improvement. The trick is to turn all the production line/machine data into useful information. How to do that in the cloud and create an easy visualisation of areas to set-in, are elements that will be covered. The webinar will also present an illustrative example of how to get the data and how to use the data, which can be applied immediately.
Learn the methods of device discovery and classification in OpManager, the network monitoring software. Learn more from https://www.manageengine.com/network-monitoring/
Analytics for large-scale time series and event dataAnodot
Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this presentation, Ira Cohen, Anodot cofounder and chief data scientist, outlines such a system that performs real-time machine learning and analytics on streams at massive scale.
Need To Automate Test And Integration Beyond Current Limits? Use Simulation
Speakers:
Jakob Engblom, Product Line Manager, System Simulation, Wind River
Graham Morphew, Sr. Director of Product Management, System Simulation, Wind River
Moderator:
Brandon Lewis, OpenSystems Media
This presentation was delivered at the StatsCraft Conference in Tel Aviv http://www.statscraft.org.il/ by BigPanda's Director of Engineering, Shahar Kendar. The StatsCraft Conference is all about making monitoring easier, more accessible and more productive.
Why it makes sense to design architecture specifically for an app and its concrete needs, opposed to using a single, non-customized architecture everywhere.
See the App Performance Future with Predictive Analytics WebcastCompuware
Compuware Product Manager Spencer Hallman and ConicIT VP of Product Management Jacob Ukelson demonstrate how Strobe’s integration with ConicIT provides ops staffs with predictive analytics to help them discover and resolve performance issues before application service levels are impacted.
Peeling the Inkjet Onion: Demystifying Nozzle out detection and compensationMeteor Inkjet Ltd
Meteor's Jonathan Wilson reveals how to understand and address the issue in his talk 'Peeling the inkjet onion: Nozzle out detection and compensation' at the IJC 2018.
Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...Compuware
See four real-life examples of how CPT Global--a worldwide IT consulting services firm specializing in capacity planning, performance tuning and testing--uses Compuware Strobe for application performance monitoring and analysis to help customers save CPU by identifying inefficiencies in:
• COBOL code
• VSAM access
• A vendor product
• CICS system settings
Data Center Heat Monitoring Using Wireless Sensor NetworksBradford Bazemore
Previous methods for monitoring these temperatures
are costly and difficult to modify once implemented.
Multiple TelosB nodes were placed in strategic locations
based on knowledge of basic heat flow in data centers, to
collect temperature readings. It was possible to gather data
matching the predictions of their placement, and detecting
alarming trends in the data center’s environment. The result
is a portable, cost-effective, and energy efficient method for
gathering precise temperature readings from data centers.
This presentation discusses the tools used for simulation training before and after the Fukushima nuclear event. It also discusses the practicality of these new tools and what next steps should be taken for nuclear training. Visit gses.com and follow GSE Systems on Twitter at @GSESystems
A journey on the automation path.
Notes on how to migrate existing infrastructures to automation and how to introduce configuration management tools like Puppet, Chef, CFEngine on manually managed systems.
Operational Excellence Webinar
Handy tricks for turning your data into gold
The future of industry is connected - Data from processes opens for previously unknown potential for improvement. The trick is to turn all the production line/machine data into useful information. How to do that in the cloud and create an easy visualisation of areas to set-in, are elements that will be covered. The webinar will also present an illustrative example of how to get the data and how to use the data, which can be applied immediately.
Learn the methods of device discovery and classification in OpManager, the network monitoring software. Learn more from https://www.manageengine.com/network-monitoring/
Analytics for large-scale time series and event dataAnodot
Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this presentation, Ira Cohen, Anodot cofounder and chief data scientist, outlines such a system that performs real-time machine learning and analytics on streams at massive scale.
Need To Automate Test And Integration Beyond Current Limits? Use Simulation
Speakers:
Jakob Engblom, Product Line Manager, System Simulation, Wind River
Graham Morphew, Sr. Director of Product Management, System Simulation, Wind River
Moderator:
Brandon Lewis, OpenSystems Media
This presentation was delivered at the StatsCraft Conference in Tel Aviv http://www.statscraft.org.il/ by BigPanda's Director of Engineering, Shahar Kendar. The StatsCraft Conference is all about making monitoring easier, more accessible and more productive.
Why it makes sense to design architecture specifically for an app and its concrete needs, opposed to using a single, non-customized architecture everywhere.
See the App Performance Future with Predictive Analytics WebcastCompuware
Compuware Product Manager Spencer Hallman and ConicIT VP of Product Management Jacob Ukelson demonstrate how Strobe’s integration with ConicIT provides ops staffs with predictive analytics to help them discover and resolve performance issues before application service levels are impacted.
Use of Machine Intelligence in manufacturing industry poses a special challenge due to a wide range of use cases, inherent complexity in data collection, availability of information and disconnect between information islands in different manufacturing steps.
Within our talk we present several machine intelligence projects we did in the manufacturing industry, which helped our customers in product quality improvement, reduction of cost and better asset management. We will talk about the used methodologies, the results achieved and the lessons learned from these projects. We will specifically focus on the importance of process and business knowledge for successful implementation of any industrial project.
Kent Melville and Annie Wise from Inductive Automation, and water/wastewater controls professionals Henry Palechek and Jason Hamlin, cover 10 steps for building a sustainable SCADA system that survives and even thrives using only your operational expenditure budget.
You'll learn about:
• What type of hardware and operating systems to use
• Utilizing smart devices and MQTT
• The advantages of server-centric architecture and web-based deployment
• Rapid development with templates and UDTs
• Powerful alarming and reporting tools
• And more
From the demise of conventional signature-based endpoint technologies have risen next generation solutions. These technologies have cluttered the marketplace introducing a conundrum for endpoint selection. This session will focus on the key requirements for effective security prevention, detection, and remediation. It will introduce a real-world framework for categorizing endpoint capabilities, and enable selection of solutions matching the unmet needs of security programs. The following topics will be covered:
• What do i actually need?
• Real-world framework to categorize endpoint capabilities
• Map vendors into buckets within the framework
• Housekeeping, what's needed before you even start?
• Cheat sheet of probing questions to ask vendors
• Best practices of deploying best of breed solutions
Kent Melville and Annie Wise from Inductive Automation, and water/wastewater controls professionals Henry Palechek and Jason Hamlin, cover 10 steps for building a sustainable SCADA system that survives and even thrives using only your operational expenditure budget.
You'll learn about:
• What type of hardware and operating systems to use
• Utilizing smart devices and MQTT
• The advantages of server-centric architecture and web-based deployment
• Rapid development with templates and UDTs
• Powerful alarming and reporting tools
• And more
Three Interviews About Static Code AnalyzersAndrey Karpov
The author invites you to read three interviews with representatives of three large, modern and
interesting projects to learn about their software development methodologies and about how they use
static code analyzers in particular. The author hopes that you will find this article interesting. The
following companies took part as interviewees: Acronis, AlternativaPlatform, Echelon Company.
Sincerely yours, Aleksandr Timofeev
Travis Cox from Inductive Automation will go over the important questions you should ask when planning an enterprise solution. His presentation will help you start and maintain a smoother development process that results in an open, interoperable, standards-based, and secure enterprise solution.
Travis Cox from Inductive Automation will go over the important questions you should ask when planning an enterprise solution. His presentation will help you start and maintain a smoother development process that results in an open, interoperable, standards-based, and secure enterprise solution.
PreMonR - A Reactive Platform To Monitor Reactive ApplicationKnoldus Inc.
Applications whose foundation is laid on Reactive Manifesto accounts for being Reactive Applications. But can any monitoring pipeline ensure that its worthy enough to monitor your reactive fleet?
With years of experience in Reactive stack; Knoldus compiles all its learning into a Premonition based Reactive Monitoring and Alerting Platform i.e PremonR which is a single solution for all your enterprise monitoring needs.
Rise of the machines -- Owasp israel -- June 2014 meetupShlomo Yona
Rise of the machines -- Owasp israel -- June 2014 meetup
Shlomo Yona presents why it is a good idea to use Machine Learning in Security and explains some Machine Learning jargon and demonstraits with two fingerprinting examples: a wifi device (PHY) and a browser (L7)
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-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
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#AIFusionBuddyFeatures,
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#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-genie-review
AI Genie Review: Key Features
✅Creates Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI on WordPress in any Niche
✅First & Only Google Bard Approved Software That Publishes 100% Original, SEO Friendly Content using Open AI
✅Publish Automated Posts and Pages using AI Genie directly on Your website
✅50 DFY Websites Included Without Adding Any Images, Content Or Doing Anything Yourself
✅Integrated Chat GPT Bot gives Instant Answers on Your Website to Visitors
✅Just Enter the title, and your Content for Pages and Posts will be ready on your website
✅Automatically insert visually appealing images into posts based on keywords and titles.
✅Choose the temperature of the content and control its randomness.
✅Control the length of the content to be generated.
✅Never Worry About Paying Huge Money Monthly To Top Content Creation Platforms
✅100% Easy-to-Use, Newbie-Friendly Technology
✅30-Days Money-Back Guarantee
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
#AIGenieApp #AIGenieBonus #AIGenieBonuses #AIGenieDemo #AIGenieDownload #AIGenieLegit #AIGenieLiveDemo #AIGenieOTO #AIGeniePreview #AIGenieReview #AIGenieReviewandBonus #AIGenieScamorLegit #AIGenieSoftware #AIGenieUpgrades #AIGenieUpsells #HowDoesAlGenie #HowtoBuyAIGenie #HowtoMakeMoneywithAIGenie #MakeMoneyOnline #MakeMoneywithAIGenie
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
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.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
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.
A Sighting of filterA in Typelevel Rite of Passage
Strobe & Strobe integration
1. ConicIT & Compuware’s Strobe
synergistic solution
Automatic detection and analysis
of applications problems
2. The Problems that we solve
• Catching and analysis of applications bugs
can be hard:
– How to detect problems at early stage
– How to run Strobe powerful analytic tool
exactly when the problem exists
– What if the problem appears at night? Who
will run Strobe analysis?
– Does high CPU necessary means application
problem? How to detect that there’s a real
problems?
4. The Building Blocks - I
ConicIT
• Automatic detection and alerts about anomalies
that reflects mainframe performance problems
• Connects to your mainframe’s performance
monitors once a minute and reading thousands
of performance metrics
• Presents all the data and graphs in a friendly
and aggregated format on your web-browser
• Using machine learning to study the normal
behavior of your mainframe, and to
automatically detects anomalies and problems
and to alert about them.
5. ConicIT recognizes
that CPU of
10.98% for
PSYCICS7 started-
task is too high
compared to the
expected range for
that time (the
green stripe).
ConicIT
automatically
starts Strobe to
investigate the
anomaly of the
job’s CPU.
6. The Building Blocks - II
Compuware Strobe
• Deep profiling and investigation of
performance problems
• Runs on specific job-name, and possibly
focusing on specific transactions
• Quickly pinpoint the source of application
inefficiencies.
• Allows to improve user code efficiency,
transaction response time and
throughput.
7. The integrated solution
• ConicIT automatically detects performance
problems and anomalies
• ConicIT Activate strobe on the relevant job
and transaction, just on time, 24/7
• Strobe is investigating the job and create
reports that gives you all required information
to figure the root cause
• Strobe is sending you an email, with link to
the result of the investigation
8. The integrated solution
ConicIT detects
performance anomaly:
CPU above the expected
(green) range
Strobe investigates and
analyzes the application
The user receives a mail
with link to Strobe’s
investigation result
9. Use cases
• Example scenarios in which ConicIT runs
Strobe investigation automatically
• CPU of CICS is higher than expected
• Transaction rates of CICS is higher than expected
• Transaction rates of CICS is lower than expected
• CPU or IO of a Started task is higher than expected
• CPU of any job is too high
• Specific transaction CPU, response-time, or
transaction-rate is higher than expected
• The rate of specific transaction is lower than
expected
10. Benefits
• Early detection of performance
problems
• Strobe will run only when a problem is
reliably recognized, and every time it
happens
• Strobe investigation will run exactly
when the problem exists and not too
late
• 24/7 automatic detection and analysis.
Results will wait for your inspection