The document presents Rnotify, a scalable distributed filesystem notifications solution. It discusses the need for file system notifications in applications and limitations of existing approaches. Rnotify aims to provide location transparency, scalability, and tunability while maintaining compatibility with applications using Inotify. It proposes to decompose functionality into replicable components to deliver low-latency notifications under different workloads.
This page provides access to information about how to integrate Apache Hadoop with Lustre. We have made several enhancements to improve the use of Hadoop with Lustre and have conducted performance tests to compare the performance of Lustre vs. HDFS when used with Hadoop.
http://wiki.lustre.org/index.php/Integrating_Hadoop_with_Lustre
Dokumen tersebut membahas tentang bilangan bulat, pecahan, bangun datar dan bangun ruang dalam matematika. Bilangan bulat terdiri dari bilangan cacah dan negatifnya, sedangkan pecahan dapat dituliskan dalam bentuk a/b. Bangun datar meliputi persegi, persegi panjang, segitiga dan lingkaran, sedangkan bangun ruang meliputi kubus, balok, tabung, kerucut dan bola.
Start with a free practice analysis to increase your bottom line.
How doctors and hospital can get more of their money faster 2% rejection rate proven 98% recovery of all revenues.
www.medicalbillrecoverysolutions.com more info
The document discusses e-care, an electronic patient record system. It allows for efficient administration, easy access to records, and advanced security. Key aspects include electronic signatures for privacy, event monitoring using wireless networks, and GP2GP which enables transferring records between practices. The proposed system adds accessing records via mobile phones and SMS for increased convenience and time savings.
The document discusses cash flow problems small businesses often face due to late or non-payments from customers. It promotes a service called Pre-Authorized Checking that allows businesses to collect customers' payments on a set date each month without sending invoices. This saves businesses money on invoice costs and collection efforts while ensuring a steady cash flow. Customers sign up by authorizing their bank to send automatic payments. The service charges a low fee per transaction and claims to save businesses hundreds or thousands of dollars each month in billing and collection costs.
This document provides instructions for tasks related to an article. It asks the reader to go to a specific article and answer questions about where and why. It also instructs the reader to circle the odd one out of a set of options in the article.
This page provides access to information about how to integrate Apache Hadoop with Lustre. We have made several enhancements to improve the use of Hadoop with Lustre and have conducted performance tests to compare the performance of Lustre vs. HDFS when used with Hadoop.
http://wiki.lustre.org/index.php/Integrating_Hadoop_with_Lustre
Dokumen tersebut membahas tentang bilangan bulat, pecahan, bangun datar dan bangun ruang dalam matematika. Bilangan bulat terdiri dari bilangan cacah dan negatifnya, sedangkan pecahan dapat dituliskan dalam bentuk a/b. Bangun datar meliputi persegi, persegi panjang, segitiga dan lingkaran, sedangkan bangun ruang meliputi kubus, balok, tabung, kerucut dan bola.
Start with a free practice analysis to increase your bottom line.
How doctors and hospital can get more of their money faster 2% rejection rate proven 98% recovery of all revenues.
www.medicalbillrecoverysolutions.com more info
The document discusses e-care, an electronic patient record system. It allows for efficient administration, easy access to records, and advanced security. Key aspects include electronic signatures for privacy, event monitoring using wireless networks, and GP2GP which enables transferring records between practices. The proposed system adds accessing records via mobile phones and SMS for increased convenience and time savings.
The document discusses cash flow problems small businesses often face due to late or non-payments from customers. It promotes a service called Pre-Authorized Checking that allows businesses to collect customers' payments on a set date each month without sending invoices. This saves businesses money on invoice costs and collection efforts while ensuring a steady cash flow. Customers sign up by authorizing their bank to send automatic payments. The service charges a low fee per transaction and claims to save businesses hundreds or thousands of dollars each month in billing and collection costs.
This document provides instructions for tasks related to an article. It asks the reader to go to a specific article and answer questions about where and why. It also instructs the reader to circle the odd one out of a set of options in the article.
OpenAIRE services & tools: Zenodo and what's next (Danish OpenAIRE workshop)Pedro Príncipe
This document summarizes Pedro Príncipe's presentation on OpenAIRE services and tools. It discusses OpenAIRE's role in supporting open access and open data in Horizon 2020 projects through services like Zenodo, the OpenAIRE infrastructure, and linking research results. It also highlights how OpenAIRE can help researchers deposit publications and data, link them to projects, and facilitate reporting to funders. Finally, it outlines OpenAIRE's helpdesk, training, and guidance resources for open science policies.
Linux Operating System Resembles Unix Operating. SystemOlga Bautista
Here are the key similarities and differences between the two short stories:
Similarities:
- Both stories focus on a serious issue - abortion in Hills Like White Elephants and obesity in FAT.
- Dialogue plays a major role in conveying the themes and advancing the plot in both stories.
- Minimal descriptions are provided, letting the dialogue carry the story.
Differences:
- Narrative perspective - Hills Like White Elephants uses direct speech to eavesdrop on the couple's conversation, while FAT uses indirect speech as the narrator retells a past conversation.
- Setting - Hills Like White Elephants is set in a train station in Spain, while FAT takes place in an unknown modern setting.
Alexander Fölling, Christian Grimme,
Joachim Lepping, and Alexander Papaspyrou: The Gain of Resource Delegation in Distributed Computing Environments
15th Workshop on Job Scheduling for Parallel Processing ; April 23, 2010 - Atlanta, GA, USA
This document summarizes a webinar on ResourceSync, a framework for synchronizing web resources between systems. It provides an overview of the webinar agenda, which includes explaining the problem perspective and conceptual approach of ResourceSync, reviewing motivation and use cases, walking through the framework, and discussing technical details and implementation. The webinar presenters then take questions from the audience.
This document discusses functional reactive programming and RxJava. It begins with an overview of functional reactive programming principles like being responsive, resilient, elastic and message-driven. It then covers architectural styles like hexagonal architecture and onion architecture. The rest of the document dives deeper into RxJava concepts like Observables, Observers, Operators, and Schedulers. It provides code examples to demonstrate merging, filtering and transforming streams of data asynchronously using RxJava.
This document discusses using Apache Helix and YARN to build a multi-tenant data cloud. It describes Helix as a generic cluster management framework that handles tasks like resource partitioning, replica placement, workload balancing, and failure handling. The document provides an example of using Helix to build an application on YARN that generates and serves partitioned data from HDFS in a fault-tolerant and scalable way. Key components of Helix like the controller, target provider, provisioner, and rebalancer are overviewed.
Princeton Dec 2022 Meetup_ NiFi + Flink + PulsarTimothy Spann
Princeton Dec 2022 Meetup_ NiFi + Flink + Pulsar
Streaming Data Platform for cloud-native event-driven applications
https://github.com/tspannhw/pulsar-csp-ce/blob/main/weather.md
https://github.com/tspannhw/create-nifi-pulsar-flink-apps
https://medium.com/@tspann/using-apache-pulsar-with-cloudera-sql-builder-apache-flink-b518aa9eadff
https://www.meetup.com/new-york-city-apache-pulsar-meetup/events/289674210/
For non-locals, we will Broadcast Live via Youtube. Sign up and we will send out the link.
Location:
TigerLabs in Princeton on the 2nd floor, walk up and the door will be open. Same that we were using for the old Future of Data - Princeton events 2016-2019.
Parking at the school is free. street parking nearby is free. there are meters on some streets, and a few blocks away is a paid parking garage.
We are joining forces with our friends Cloudera again on a FLiPN amazing journey into Real-Time Streaming Applications with Apache Flink, Apache NiFi, and Apache Pulsar.
Discover how to stream data to and from your data lake or data mart using Apache Pulsar™ and Apache NiFi®. Learn how these cloud-native, scalable open-source projects built for streaming data pipelines work together to enable you to quickly build applications with minimal coding.
|WHAT THE SESSION WILL COVER|
Apache NiFi
Apache Pulsar
Apache Flink
Flink SQL
We will show you how to build apps, so download beforehand to Docker, K8, your Laptop, or the cloud.
Cloudera CSP Setup
Getting Started with Cloudera Stream Processing Community Edition
You may download CSP-CE here:
Cloudera Stream Processing Community Edition
The Cloudera CDP User's page:
CDP Resources Page
https://youtu.be/s80sz3NWwHo
https://docs.cloudera.com/csp-ce/latest/index.html
https://www.cloudera.com/downloads/cdf/csp-community-edition.html
Apache Pulsar
https://pulsar.apache.org/docs/getting-started-standalone/
or
https://streamnative.io/free-cloud/
Cloudera + Pulsar
https://community.cloudera.com/t5/Cloudera-Stream-Processing-Forum/Using-Apache-Pulsar-with-SQL-Stream-Builder/m-p/349917
https://community.cloudera.com/t5/Community-Articles/Using-Apache-NiFi-with-Apache-Pulsar-for-Streaming/ta-p/337891
|AGENDA|
6:00 - 6:30 PM EST: Food, Drink, and Networking!!!
6:30 - 7:15 PM EST: Presentation - Tim Spann, StreamNative Developer Advocate
7:15 - 8:00 PM EST: Presentation - John Kuchmek, Cloudera Principal Solutions Engineer
8:00 - 8:30 PM EST: Round Table on Real-Time Streaming, Q&A
|ABOUT THE SPEAKERS|
John Kuchmek is a Principal Solutions Engineer for Cloudera. Before joining Cloudera, John transitioned to the Autonomous Intelligence team where he was in charge of integrating the platforms to allow data scientists to work with various types of data.
Tim Spann is a Developer Advocate for StreamNative. He works with StreamNative Cloud, Apache Pulsar™, Apache Flink®, Flink® SQL, Big Data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, dist
OpenAIRE Metrics Service: Usage Statistics (24x7 presentation at #OR2018)OpenAIRE
Presentation by Pedro Principe. Paper presented by Dimitris Pierrakos, ATHENA Research & Innovation Center, Pedro Príncipe, University of Minho, Jochen Schirrwagen, Bielefeld University, jochen.schirrwagen@uni-bielefeld.de, José Carvalho, University of Minho.
A user journey in OpenAIRE services through the lens of repository managers -...OpenAIRE
A user journey in OpenAIRE services through the lens of repository managers (II – OpenAIRE dashboard for content providers, usage statistics and the catch-all broker service). OpenAIRE-connect & OpenAIRE Advance workshop at the Open Repositories Conference, June 10, 2019, Hamburg.
The document provides an overview of the ResourceSync framework, which aims to enable synchronization of web resources between source and destination servers. It describes the core capabilities that a source server can provide, including describing content through resource lists, packaging content in dumps, describing changes through change lists, and packaging changes in dumps. It also outlines key processes for destinations, such as baseline and incremental synchronization. The agenda covers motivation/use cases, framework walkthrough, technical details, and implementation. ResourceSync is designed as a modular framework based on sitemaps to describe resources and changes.
Join Bruce Momjian as he explores the landscape of Postgres options and offers tips to make wise decisions about database servers, extensions, deployment utilities, and monitoring options.
Creative Commons Attribution License http://momjian.us/presentations
IRUS-UK presentation given by Jo Alcock at Repository Fringe 2014 (Edinburgh) on 31st July 2014. The presentation provides an overview of the IRUS-UK service, screenshots of IRUS-UK reports, and some user feedback.
IRUS-UK: Does anyone use the material in your repository?Repository Fringe
This document discusses IRUS-UK, a project that collects usage statistics from UK institutional repositories and processes them into COUNTER-compliant statistics. It collects raw download data using a "tracker" method, applies filtering to remove robots and suspicious activity, and loads the results into a database. The goals are to provide repositories and Jisc with usage statistics, enable benchmarking, and give a picture of overall repository usage. It currently collects data from 64 UK repositories in DSpace, Eprints, Fedora and other platforms.
Optimization of workload prediction based on map reduce frame work in a cloud...eSAT Journals
Abstract Nowadays cloud computing is emerging Technology. It is used to access anytime and anywhere through the internet. Hadoop is an open-source Cloud computing environment that implements the Googletm MapReduce framework. Hadoop is a framework for distributed processing of large datasets across large clusters of computers. This paper proposes the workload of jobs in clusters mode using Hadoop. MapReduce is a programming model in hadoop used for maintaining the workload of the jobs. Depend on the job analysis statistics the future workload of the cluster is predicted for potential performance optimization by using genetic algorithm. Key Words: Cloud computing, Hadoop Framework, MapReduce Analysis, Workload
Optimization of workload prediction based on map reduce frame work in a cloud...eSAT Publishing House
This document summarizes a research paper that proposes optimizing workload prediction in Hadoop clusters using MapReduce and genetic algorithms. It describes collecting job history data from Hadoop, analyzing workload patterns, and using genetic algorithms to predict future workloads and optimize performance. The implementation analyzes a sample Hadoop trace log to calculate error rates for workload predictions. The goal is to integrate workload prediction into multi-node Hadoop clusters for real-time optimization.
The document provides guidance for implementing OpenStack Liberty with NetApp's ONTAP 9 operating system using Packstack. It describes installing OpenStack on RHEL 7.2 controller and compute nodes with ONTAP 9 providing NFS shares for Glance, Nova, and Cinder. Initial setup steps are covered, including configuring Neutron networking, creating key pairs and security groups, and attaching volumes. Troubleshooting tips are also included in an appendix.
Reactive programming is quite a popular topic these days. For a long time, reactive programming was constrained to interactive user interface designs. With the advancement of hardware (multi-core CPU’s) and the internet, the scale, complexity, and responsiveness of software began to rise which led to reactive programming being regarded as a major programming paradigm.
Read more from here: https://blog.lftechnology.com/introduction-to-reactive-programming-part-1-5b7c63685586
By: Subash Poudel (Software Engineer @ Leapfrog Technology, Inc.)
LDV: Light-weight Database VirtualizationTanu Malik
The document summarizes the Light-weight Database Virtualization (LDV) framework. LDV aims to enable easy and efficient sharing of database applications by capturing an application's execution provenance and dependencies. It uses application virtualization techniques to package the application binaries, libraries, and data. For applications that interact with a database, it also records the interactions between the application and database using system call monitoring and SQL logging. This combined provenance allows recreating the application's execution environment and replaying the database interactions to validate or reproduce results. Key components of LDV include provenance modeling, package creation with necessary files and traces, and runtime redirection to reconstruct the environment.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
OpenAIRE services & tools: Zenodo and what's next (Danish OpenAIRE workshop)Pedro Príncipe
This document summarizes Pedro Príncipe's presentation on OpenAIRE services and tools. It discusses OpenAIRE's role in supporting open access and open data in Horizon 2020 projects through services like Zenodo, the OpenAIRE infrastructure, and linking research results. It also highlights how OpenAIRE can help researchers deposit publications and data, link them to projects, and facilitate reporting to funders. Finally, it outlines OpenAIRE's helpdesk, training, and guidance resources for open science policies.
Linux Operating System Resembles Unix Operating. SystemOlga Bautista
Here are the key similarities and differences between the two short stories:
Similarities:
- Both stories focus on a serious issue - abortion in Hills Like White Elephants and obesity in FAT.
- Dialogue plays a major role in conveying the themes and advancing the plot in both stories.
- Minimal descriptions are provided, letting the dialogue carry the story.
Differences:
- Narrative perspective - Hills Like White Elephants uses direct speech to eavesdrop on the couple's conversation, while FAT uses indirect speech as the narrator retells a past conversation.
- Setting - Hills Like White Elephants is set in a train station in Spain, while FAT takes place in an unknown modern setting.
Alexander Fölling, Christian Grimme,
Joachim Lepping, and Alexander Papaspyrou: The Gain of Resource Delegation in Distributed Computing Environments
15th Workshop on Job Scheduling for Parallel Processing ; April 23, 2010 - Atlanta, GA, USA
This document summarizes a webinar on ResourceSync, a framework for synchronizing web resources between systems. It provides an overview of the webinar agenda, which includes explaining the problem perspective and conceptual approach of ResourceSync, reviewing motivation and use cases, walking through the framework, and discussing technical details and implementation. The webinar presenters then take questions from the audience.
This document discusses functional reactive programming and RxJava. It begins with an overview of functional reactive programming principles like being responsive, resilient, elastic and message-driven. It then covers architectural styles like hexagonal architecture and onion architecture. The rest of the document dives deeper into RxJava concepts like Observables, Observers, Operators, and Schedulers. It provides code examples to demonstrate merging, filtering and transforming streams of data asynchronously using RxJava.
This document discusses using Apache Helix and YARN to build a multi-tenant data cloud. It describes Helix as a generic cluster management framework that handles tasks like resource partitioning, replica placement, workload balancing, and failure handling. The document provides an example of using Helix to build an application on YARN that generates and serves partitioned data from HDFS in a fault-tolerant and scalable way. Key components of Helix like the controller, target provider, provisioner, and rebalancer are overviewed.
Princeton Dec 2022 Meetup_ NiFi + Flink + PulsarTimothy Spann
Princeton Dec 2022 Meetup_ NiFi + Flink + Pulsar
Streaming Data Platform for cloud-native event-driven applications
https://github.com/tspannhw/pulsar-csp-ce/blob/main/weather.md
https://github.com/tspannhw/create-nifi-pulsar-flink-apps
https://medium.com/@tspann/using-apache-pulsar-with-cloudera-sql-builder-apache-flink-b518aa9eadff
https://www.meetup.com/new-york-city-apache-pulsar-meetup/events/289674210/
For non-locals, we will Broadcast Live via Youtube. Sign up and we will send out the link.
Location:
TigerLabs in Princeton on the 2nd floor, walk up and the door will be open. Same that we were using for the old Future of Data - Princeton events 2016-2019.
Parking at the school is free. street parking nearby is free. there are meters on some streets, and a few blocks away is a paid parking garage.
We are joining forces with our friends Cloudera again on a FLiPN amazing journey into Real-Time Streaming Applications with Apache Flink, Apache NiFi, and Apache Pulsar.
Discover how to stream data to and from your data lake or data mart using Apache Pulsar™ and Apache NiFi®. Learn how these cloud-native, scalable open-source projects built for streaming data pipelines work together to enable you to quickly build applications with minimal coding.
|WHAT THE SESSION WILL COVER|
Apache NiFi
Apache Pulsar
Apache Flink
Flink SQL
We will show you how to build apps, so download beforehand to Docker, K8, your Laptop, or the cloud.
Cloudera CSP Setup
Getting Started with Cloudera Stream Processing Community Edition
You may download CSP-CE here:
Cloudera Stream Processing Community Edition
The Cloudera CDP User's page:
CDP Resources Page
https://youtu.be/s80sz3NWwHo
https://docs.cloudera.com/csp-ce/latest/index.html
https://www.cloudera.com/downloads/cdf/csp-community-edition.html
Apache Pulsar
https://pulsar.apache.org/docs/getting-started-standalone/
or
https://streamnative.io/free-cloud/
Cloudera + Pulsar
https://community.cloudera.com/t5/Cloudera-Stream-Processing-Forum/Using-Apache-Pulsar-with-SQL-Stream-Builder/m-p/349917
https://community.cloudera.com/t5/Community-Articles/Using-Apache-NiFi-with-Apache-Pulsar-for-Streaming/ta-p/337891
|AGENDA|
6:00 - 6:30 PM EST: Food, Drink, and Networking!!!
6:30 - 7:15 PM EST: Presentation - Tim Spann, StreamNative Developer Advocate
7:15 - 8:00 PM EST: Presentation - John Kuchmek, Cloudera Principal Solutions Engineer
8:00 - 8:30 PM EST: Round Table on Real-Time Streaming, Q&A
|ABOUT THE SPEAKERS|
John Kuchmek is a Principal Solutions Engineer for Cloudera. Before joining Cloudera, John transitioned to the Autonomous Intelligence team where he was in charge of integrating the platforms to allow data scientists to work with various types of data.
Tim Spann is a Developer Advocate for StreamNative. He works with StreamNative Cloud, Apache Pulsar™, Apache Flink®, Flink® SQL, Big Data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, dist
OpenAIRE Metrics Service: Usage Statistics (24x7 presentation at #OR2018)OpenAIRE
Presentation by Pedro Principe. Paper presented by Dimitris Pierrakos, ATHENA Research & Innovation Center, Pedro Príncipe, University of Minho, Jochen Schirrwagen, Bielefeld University, jochen.schirrwagen@uni-bielefeld.de, José Carvalho, University of Minho.
A user journey in OpenAIRE services through the lens of repository managers -...OpenAIRE
A user journey in OpenAIRE services through the lens of repository managers (II – OpenAIRE dashboard for content providers, usage statistics and the catch-all broker service). OpenAIRE-connect & OpenAIRE Advance workshop at the Open Repositories Conference, June 10, 2019, Hamburg.
The document provides an overview of the ResourceSync framework, which aims to enable synchronization of web resources between source and destination servers. It describes the core capabilities that a source server can provide, including describing content through resource lists, packaging content in dumps, describing changes through change lists, and packaging changes in dumps. It also outlines key processes for destinations, such as baseline and incremental synchronization. The agenda covers motivation/use cases, framework walkthrough, technical details, and implementation. ResourceSync is designed as a modular framework based on sitemaps to describe resources and changes.
Join Bruce Momjian as he explores the landscape of Postgres options and offers tips to make wise decisions about database servers, extensions, deployment utilities, and monitoring options.
Creative Commons Attribution License http://momjian.us/presentations
IRUS-UK presentation given by Jo Alcock at Repository Fringe 2014 (Edinburgh) on 31st July 2014. The presentation provides an overview of the IRUS-UK service, screenshots of IRUS-UK reports, and some user feedback.
IRUS-UK: Does anyone use the material in your repository?Repository Fringe
This document discusses IRUS-UK, a project that collects usage statistics from UK institutional repositories and processes them into COUNTER-compliant statistics. It collects raw download data using a "tracker" method, applies filtering to remove robots and suspicious activity, and loads the results into a database. The goals are to provide repositories and Jisc with usage statistics, enable benchmarking, and give a picture of overall repository usage. It currently collects data from 64 UK repositories in DSpace, Eprints, Fedora and other platforms.
Optimization of workload prediction based on map reduce frame work in a cloud...eSAT Journals
Abstract Nowadays cloud computing is emerging Technology. It is used to access anytime and anywhere through the internet. Hadoop is an open-source Cloud computing environment that implements the Googletm MapReduce framework. Hadoop is a framework for distributed processing of large datasets across large clusters of computers. This paper proposes the workload of jobs in clusters mode using Hadoop. MapReduce is a programming model in hadoop used for maintaining the workload of the jobs. Depend on the job analysis statistics the future workload of the cluster is predicted for potential performance optimization by using genetic algorithm. Key Words: Cloud computing, Hadoop Framework, MapReduce Analysis, Workload
Optimization of workload prediction based on map reduce frame work in a cloud...eSAT Publishing House
This document summarizes a research paper that proposes optimizing workload prediction in Hadoop clusters using MapReduce and genetic algorithms. It describes collecting job history data from Hadoop, analyzing workload patterns, and using genetic algorithms to predict future workloads and optimize performance. The implementation analyzes a sample Hadoop trace log to calculate error rates for workload predictions. The goal is to integrate workload prediction into multi-node Hadoop clusters for real-time optimization.
The document provides guidance for implementing OpenStack Liberty with NetApp's ONTAP 9 operating system using Packstack. It describes installing OpenStack on RHEL 7.2 controller and compute nodes with ONTAP 9 providing NFS shares for Glance, Nova, and Cinder. Initial setup steps are covered, including configuring Neutron networking, creating key pairs and security groups, and attaching volumes. Troubleshooting tips are also included in an appendix.
Reactive programming is quite a popular topic these days. For a long time, reactive programming was constrained to interactive user interface designs. With the advancement of hardware (multi-core CPU’s) and the internet, the scale, complexity, and responsiveness of software began to rise which led to reactive programming being regarded as a major programming paradigm.
Read more from here: https://blog.lftechnology.com/introduction-to-reactive-programming-part-1-5b7c63685586
By: Subash Poudel (Software Engineer @ Leapfrog Technology, Inc.)
LDV: Light-weight Database VirtualizationTanu Malik
The document summarizes the Light-weight Database Virtualization (LDV) framework. LDV aims to enable easy and efficient sharing of database applications by capturing an application's execution provenance and dependencies. It uses application virtualization techniques to package the application binaries, libraries, and data. For applications that interact with a database, it also records the interactions between the application and database using system call monitoring and SQL logging. This combined provenance allows recreating the application's execution environment and replaying the database interactions to validate or reproduce results. Key components of LDV include provenance modeling, package creation with necessary files and traces, and runtime redirection to reconstruct the environment.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
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1. Rnotify
A Scalable Distributed
filesystems Notifications
Solution for Applications
Ashwin Raghav
www.rnotifications.com
github.com/ashwinraghav/rnotify-c/
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1Tuesday, April 30, 13
2. Agenda
• Motivation
• Problem Statement / State of the art
• General Overview
• Hypothesis
• Approach
• Evaluation
• Conclusion
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3. Motivation
• Applications need File System
Notifications
• Previously applications polled
file systems naively
• Now,All Operating Systems
provide FS Notifications API
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5. Problems / State of the art
Use ad-hoc (polling) implementations for Distributed FS.
Polling creates an unfortunate tension between
resource consumption and timeliness
Any general solution must be location transparent,
scalable, tunable.
Use inotify to subscribe to local filesystems
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6. Requirements
• Compatibility with existing applications that use Inotify
• Provide Horizontal Scalability, Decomposition of Functionality,
Tunable Performance
• Location Transparency
• High Throughput notifications per client
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8. Related Work
• FAM (File Alteration Monitor) - does not scale
• Internet scale systems like Thialfi, Zookeeper are built for larger scales
of clients.
• Bayeux, Scribe, Siena, Hermes, Swag etc assume overlay networks to
establish multicast trees for message dissemination
• Inotify was introduced in kernel 2.6.13 - for local FS notifications
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10. Hypothesis
As a result of clearly decomposing functionality into
replicable components, Rnotify can be tuned to fit different
notification workloads to consistently deliver notifications
at low latency.
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11. Key Properties
• Low Latency Notifications (under 10ms)
• Compatible with applications that use Inotify
• Tuned to fit workloads
• Greedy Applications can use Rnotify by distributing their
workloads across nodes.
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21. Representing State - Publisher
Get all
Subscribers
Get all
Notifications
File Id IP address of Subscribers
1 192.168.1.2:3000
192.168.3.4:3001
2 192.168.1.2:3000
192.168.3.4:3001
Subscriber Undelivered Notifications
192.168.1.2:3000 N1, N2, N3
192.168.3.4:3001 N4, N5, N6
File Id Notifications
1 N1, N2, N3,
2 N4, N5
Append new
Notification
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26. Dispatcher Replication
• Dispatcher is provided the registrar location at startup
• It acquires the publisher list from the registrar
transactionally.
• Inform the Proxies independently
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27. Evaluation Strategy
Mid size GlusterFS
deployment on EC2
Postmark Benchmark
to represent FS activity
Using Chef to startup
serviced clients
Measure Latency end
to end
8xl machines with 32 cores each
helped simulate several clients each
All machines were
acquired within a
placement group
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28. Evaluation - Scalability
Tune Dispatchers based on FS throughput
Tune Publishers based on number of clients
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29. Scalability - Overactive FileSystems
Post Mark threads writing to different
directories29
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30. Scalability - Overactive FileSystems
PostMark threads writing to same directory30
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31. PostMark threads
writing to different
files
PostMark
threads writing
to same files
Applications like
web/mail server
HPC
applications
Scalability - Overactive FileSystems
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35. Comparison to naive Polling
• Developed a poller
Node.js REST API
• For just 100 clients , 5
files, 50000 stats per
second
• Has an extremely heavy
footprint on the FS
performance
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36. Greedy Applications
• Increasing the number of
notifications delivered
per client
• Linear increase in latency
• Messages spend more
time in queues
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38. Greedy Applications
If you need to consume
more notifications,
Distribute yourself
Inefficient
Application
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39. Summary - Why is this
work different?
• FAM does not scale and is obsolete.
• All PubSub systems do not cater to many notifications per
client
• Multicast Trees are established for reliability (Performance
suffers)
• Pub Sub systems provide a richer set of semantics with lower
performance
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40. Future Work
• Introduce a security model
• Introduce message ordering
• Provide message delivery reliability
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41. Conclusion
• Rnotify is a solution to receive notifications from POSIX
compliant Distributed File Systems
• Tuned to fit different notification workloads
• Incrementally Scalable, location transparent and mimics Inotify
• We have tested Rnotify to scale to 2.5 million notifications per
second
• Latency under 10ms for 88% notifications
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