DotNext 2017 conference in Moscow, RU - 2017/11/12
Talk: .NET Core Networking stack and Performance by Karel Zikmund
http://2017.dotnext-moscow.ru/en/2017/msk/talks/3hcuoycrw4egcs0mkewoio/
Legacy web architectures are fragile and broken. It's time everyone start moving to a micro-services based and share-nothing API-driven web architectures.
OSMC 2021 | Advanced MySQL optimization and troubleshooting using PMM 2NETWAYS
Optimizing MySQL performance and troubleshooting MySQL problems are two of the most critical and challenging tasks for MySQL DBA’s. The databases powering your applications need to be able to handle changing traffic workloads while remaining responsive and stable so that you can deliver an excellent user experience. Further, DBA’s are also expected to find cost-efficient means of solving these issues. In this presentation, we will demonstrate the advanced options of PMM version 2 that enables you to solve these challenges, which is built on free and open-source software. We will look at specific, common MySQL problems and review them.
These slides are part of a presentation I gave on a Google Hangout on air regarding Python Performance Profiling. Specifically, I explore examining both development and production environments, build systems, testing frameworks (py.test & nose), various profilers for dev, and how to profile in production. The full talk is on youtube here: https://www.youtube.com/watch?v=tZc-v0-3OKQ
Legacy web architectures are fragile and broken. It's time everyone start moving to a micro-services based and share-nothing API-driven web architectures.
OSMC 2021 | Advanced MySQL optimization and troubleshooting using PMM 2NETWAYS
Optimizing MySQL performance and troubleshooting MySQL problems are two of the most critical and challenging tasks for MySQL DBA’s. The databases powering your applications need to be able to handle changing traffic workloads while remaining responsive and stable so that you can deliver an excellent user experience. Further, DBA’s are also expected to find cost-efficient means of solving these issues. In this presentation, we will demonstrate the advanced options of PMM version 2 that enables you to solve these challenges, which is built on free and open-source software. We will look at specific, common MySQL problems and review them.
These slides are part of a presentation I gave on a Google Hangout on air regarding Python Performance Profiling. Specifically, I explore examining both development and production environments, build systems, testing frameworks (py.test & nose), various profilers for dev, and how to profile in production. The full talk is on youtube here: https://www.youtube.com/watch?v=tZc-v0-3OKQ
Reactive Integrations - Caveats and bumps in the road explained Markus Eisele
Understand the different approaches to integrate fast data and streams based frameworks into your legacy applications and learn about the advantages, disadvantages, caveats, and bumps in the road.
Dimitri Bellini and Pietro Antonacci - Manage Zabbix Proxies in Remote Networ...Zabbix
Monitoring multiple server farms spread all around the world is not an easy task, many small problems have to be addressed, but using Zabbix it is all a breeze.
We will talk about our experience on setup of Zabbix proxies in very remote networks, problems we encountered and how we worked on fixing them.
DSD-INT 2020 Scripting a Delft-FEWS configuration - VerkadeDeltares
Presentation by Jan Verkade, Deltares, at the Delft-FEWS International User Days 2020, during Delft Software Days - Edition 2020. Monday, 2 November 2020.
A Practical Guide to Selecting a Stream Processing Technology confluent
Presented by Michael Noll, Product Manager, Confluent.
Why are there so many stream processing frameworks that each define their own terminology? Are the components of each comparable? Why do you need to know about spouts or DStreams just to process a simple sequence of records? Depending on your application’s requirements, you may not need a full framework at all.
Processing and understanding your data to create business value is the ultimate goal of a stream data platform. In this talk we will survey the stream processing landscape, the dimensions along which to evaluate stream processing technologies, and how they integrate with Apache Kafka. Particularly, we will learn how Kafka Streams, the built-in stream processing engine of Apache Kafka, compares to other stream processing systems that require a separate processing infrastructure.
In this keynote from Deltaware Data Solutions' 2016 Emerging Technology Summit, Stephen Foskett gives essential background on the emerging trend of containerization of enterprise applications. What are containers and how will they affect enterprise IT? Why is Docker so important? Foskett addresses both the technical and architectural questions, discussing which applications will be containerized, the benefits and costs, and what it means for IT operations.
This is my presentation about CFWheels at CFObjective ANZ, November 2010, Melbourne, Australia.
ColdFusion on Wheels (CFWheels), is an elegant framework inspired by Ruby on Rails.
Delivering: from Kafka to WebSockets | Adam Warski, SoftwareMillHostedbyConfluent
Here's the challenge: we've got a Kafka topic, where services publish messages to be delivered to browser-based clients through web sockets.
Sounds simple? It might, but we're faced with an increasing number of messages, as well as a growing count of web socket clients. How do we scale our solution? As our system contains a larger number of servers, failures become more frequent. How to ensure fault tolerance?
There’s a couple possible architectures. Each websocket node might consume all messages. Otherwise, we need an intermediary, which redistributes the messages to the proper web socket nodes.
Here, we might either use a Kafka topic, or a streaming forwarding service. However, we still need a feedback loop so that the intermediary knows where to distribute messages.
We’ll take a look at the strengths and weaknesses of each solution, as well as limitations created by the chosen technologies (Kafka and web sockets).
Kafka at Scale: Multi-Tier ArchitecturesTodd Palino
This is a talk given at ApacheCon 2015
If data is the lifeblood of high technology, Apache Kafka is the circulatory system in use at LinkedIn. It is used for moving every type of data around between systems, and it touches virtually every server, every day. This can only be accomplished with multiple Kafka clusters, installed at several sites, and they must all work together to assure no message loss, and almost no message duplication. In this presentation, we will discuss the architectural choices behind how the clusters are deployed, and the tools and processes that have been developed to manage them. Todd Palino will also discuss some of the challenges of running Kafka at this scale, and how they are being addressed both operationally and in the Kafka development community.
Note - there are a significant amount of slide notes on each slide that goes into detail. Please make sure to check out the downloaded file to get the full content!
NS4: Enabling Programmable Data Plane SimulationAJAY KHARAT
Programmable data plane with multiple devices can now be simulated
Simulation setup much easier compared to ns-3
Direct migration of simulated behaviour to real-world devices possible
Less error prone code writing.
Performance improved significantly.
Presented by Matt Brasier, C2B2 Principal Consultant, at the Oracle User Group Scotland Conference on the 10th of June 2015
Find out more about C2B2 Oracle SOA Suite servcies here: http://www.c2b2.co.uk/soa
"Clouds on the Horizon Get Ready for Drizzle" by David Axmark @ eLiberatica 2009eLiberatica
This is a presentation held at eLiberatica 2009.
http://www.eliberatica.ro/2009/
One of the biggest events of its kind in Eastern Europe, eLiberatica brings community leaders from around the world to discuss about the hottest topics in FLOSS movement, demonstrating the advantages of adopting, using and developing Open Source and Free Software solutions.
The eLiberatica organizational committee together with our speakers and guests, have graciously allowed media representatives and all attendees to photograph, videotape and otherwise record their sessions, on the condition that the photos, videos and recordings are licensed under the Creative Commons Share-Alike 3.0 License.
Reactive Integrations - Caveats and bumps in the road explained Markus Eisele
Understand the different approaches to integrate fast data and streams based frameworks into your legacy applications and learn about the advantages, disadvantages, caveats, and bumps in the road.
Dimitri Bellini and Pietro Antonacci - Manage Zabbix Proxies in Remote Networ...Zabbix
Monitoring multiple server farms spread all around the world is not an easy task, many small problems have to be addressed, but using Zabbix it is all a breeze.
We will talk about our experience on setup of Zabbix proxies in very remote networks, problems we encountered and how we worked on fixing them.
DSD-INT 2020 Scripting a Delft-FEWS configuration - VerkadeDeltares
Presentation by Jan Verkade, Deltares, at the Delft-FEWS International User Days 2020, during Delft Software Days - Edition 2020. Monday, 2 November 2020.
A Practical Guide to Selecting a Stream Processing Technology confluent
Presented by Michael Noll, Product Manager, Confluent.
Why are there so many stream processing frameworks that each define their own terminology? Are the components of each comparable? Why do you need to know about spouts or DStreams just to process a simple sequence of records? Depending on your application’s requirements, you may not need a full framework at all.
Processing and understanding your data to create business value is the ultimate goal of a stream data platform. In this talk we will survey the stream processing landscape, the dimensions along which to evaluate stream processing technologies, and how they integrate with Apache Kafka. Particularly, we will learn how Kafka Streams, the built-in stream processing engine of Apache Kafka, compares to other stream processing systems that require a separate processing infrastructure.
In this keynote from Deltaware Data Solutions' 2016 Emerging Technology Summit, Stephen Foskett gives essential background on the emerging trend of containerization of enterprise applications. What are containers and how will they affect enterprise IT? Why is Docker so important? Foskett addresses both the technical and architectural questions, discussing which applications will be containerized, the benefits and costs, and what it means for IT operations.
This is my presentation about CFWheels at CFObjective ANZ, November 2010, Melbourne, Australia.
ColdFusion on Wheels (CFWheels), is an elegant framework inspired by Ruby on Rails.
Delivering: from Kafka to WebSockets | Adam Warski, SoftwareMillHostedbyConfluent
Here's the challenge: we've got a Kafka topic, where services publish messages to be delivered to browser-based clients through web sockets.
Sounds simple? It might, but we're faced with an increasing number of messages, as well as a growing count of web socket clients. How do we scale our solution? As our system contains a larger number of servers, failures become more frequent. How to ensure fault tolerance?
There’s a couple possible architectures. Each websocket node might consume all messages. Otherwise, we need an intermediary, which redistributes the messages to the proper web socket nodes.
Here, we might either use a Kafka topic, or a streaming forwarding service. However, we still need a feedback loop so that the intermediary knows where to distribute messages.
We’ll take a look at the strengths and weaknesses of each solution, as well as limitations created by the chosen technologies (Kafka and web sockets).
Kafka at Scale: Multi-Tier ArchitecturesTodd Palino
This is a talk given at ApacheCon 2015
If data is the lifeblood of high technology, Apache Kafka is the circulatory system in use at LinkedIn. It is used for moving every type of data around between systems, and it touches virtually every server, every day. This can only be accomplished with multiple Kafka clusters, installed at several sites, and they must all work together to assure no message loss, and almost no message duplication. In this presentation, we will discuss the architectural choices behind how the clusters are deployed, and the tools and processes that have been developed to manage them. Todd Palino will also discuss some of the challenges of running Kafka at this scale, and how they are being addressed both operationally and in the Kafka development community.
Note - there are a significant amount of slide notes on each slide that goes into detail. Please make sure to check out the downloaded file to get the full content!
NS4: Enabling Programmable Data Plane SimulationAJAY KHARAT
Programmable data plane with multiple devices can now be simulated
Simulation setup much easier compared to ns-3
Direct migration of simulated behaviour to real-world devices possible
Less error prone code writing.
Performance improved significantly.
Presented by Matt Brasier, C2B2 Principal Consultant, at the Oracle User Group Scotland Conference on the 10th of June 2015
Find out more about C2B2 Oracle SOA Suite servcies here: http://www.c2b2.co.uk/soa
"Clouds on the Horizon Get Ready for Drizzle" by David Axmark @ eLiberatica 2009eLiberatica
This is a presentation held at eLiberatica 2009.
http://www.eliberatica.ro/2009/
One of the biggest events of its kind in Eastern Europe, eLiberatica brings community leaders from around the world to discuss about the hottest topics in FLOSS movement, demonstrating the advantages of adopting, using and developing Open Source and Free Software solutions.
The eLiberatica organizational committee together with our speakers and guests, have graciously allowed media representatives and all attendees to photograph, videotape and otherwise record their sessions, on the condition that the photos, videos and recordings are licensed under the Creative Commons Share-Alike 3.0 License.
Angular (v2 and up) - Morning to understand - LinagoraLINAGORA
Slides of the talk about Angular, at the "Matinée Pour Comprendre" organized by Linagora the 22/03/17.
Discover what's new in Angular, why is it more than just a framework (platform) and how to manage your data with RxJs and Redux.
A detailed description of how Cloudscaling's Open Cloud System (OCS) has solved the network scalability problems in OpenStack. We'll cover how and why we designed a Layer-3 (L3) scale-out network, how we plugin and extend OpenStack, and talk about why we did it this way.
Vous êtes de retour des vacances et déjà... des changements dans .NET Core. Nous ferrons un suivi de ce qui se passe dans l'environnement afin de vous garder au courant des derniers changements.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/mar-2018-alliance-vitf-facebook
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Fei Sun, software engineer at Facebook, delivers the presentation "The Caffe2 Framework for Mobile and Embedded Deep Learning" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Sun introduces Caffe2, a new open-source machine learning framework, and explains how Facebook is using it to enable computer vision in mobile and embedded devices.
Daniel Firestone and Gabriel Silva's presentation from the 2017 Open Networking Summit.
SDN is at the foundation of all large scale networks in the public cloud, such as Microsoft Azure - at past ONSes, Microsoft has detailed how all of Azure's virtual networks, load balancing, and security operate on SDN. But how do we make a software network scale to an era of 40, 50, and 100 gigabit networks on servers, providing great performance to end customers with ever increasing VM and container scale and density?
In this presentation, Daniel Firestone and Gabriel Silva will detail Azure Accelerated Networking, using Azure's FPGA-based SmartNICs. They will show how using FPGAs, we can achieve the programmability of a software network with the performance of a hardware one. They will detail how this and other host SDN advances have led to huge performance increases for Linux VMs in particular, and Linux-based NFV appliances, giving Azure industry-leading network performance.
Performance Benchmarking: Tips, Tricks, and Lessons LearnedTim Callaghan
Presentation covering 25 years worth of lessons learned while performance benchmarking applications and databases. Presented at Percona Live London in November 2014.
Dot net platform and dotnet core fundamentalsLalit Kale
This is the presentation deck, I did for LimerickDotNet-Azure User group.
Event Url: https://www.meetup.com/Limerick-DotNet/events/240897689/
Session Details:
This session represented .NET journey of almost 17 years. Through this slid-deck, I narrated .NET platform progression till .NET Standards 2.0.
This session was accompanied by a small demo of running small dotnet program on alpine linux with docker container.
Scaling Apache Spark on Kubernetes at LyftDatabricks
Lyft is on the mission to improve people's lives with the world's best transportation. As part of this mission Lyft invests heavily in open source infrastructure and tooling. At Lyft Kubernetes has emerged as the next generation of cloud native infrastructure to support a wide variety of distributed workloads. Apache Spark at Lyft has evolved to solve both Machine Learning and large scale ETL workloads. By combining the flexibility of Kubernetes with the data processing power of Apache Spark, Lyft is able to drive ETL data processing to a different level. In this talk, Li Gao and Rohit Menon will talk about challenges the Lyft team faced and solutions they developed to support Apache Spark on Kubernetes in production and at scale. Topics Include: - Key traits of Apache Spark on Kubernetes. - Deep dive into Lyft's multi-cluster setup and operationality to handle petabytes of production data. - How Lyft extends and enhances Apache Spark to support capabilities such as Spark pod life cycle metrics and state management, resource prioritization, and queuing and throttling. - Dynamic job scale estimation and runtime dynamic job configuration. - How Lyft powers internal Data Scientists, Business Analysts, and Data Engineers via a multi-cluster setup.
Speakers: Li Gao, Rohit Menon
Sergey Dzyuban "To Build My Own Cloud with Blackjack…"Fwdays
Cloud providers like Amazon or Google have a great user experience to create and manage PaaS. But is it possible to reproduce the same experience and flexibility locally, in the on-premise datacenter? What if your own infrastructure grows to fast and your team can’t deal with it in the old way? What does Jenkins, .NET microservices and TVs for daily meetings have in common?
This talk shares our experience using DC/OS (datacenter operating system) for building flexible and stable infrastructure. I will show the evolution of private cloud from the first steps with Vagrant to the hybrid cloud with instance groups in Google Cloud, the benefits it gives us and the problems we get instead.
There’s a lot of exciting new stuff in .NET Core, and more on the way! We’ll take a look at some top features in 3.1, including Blazor, desktop support (WPF and Windows Forms), single file executables, language features, and more. We'll also take an early look at what's on the way in .NET 5, and how you can start planning for it today.
NDC London 2020 - Challenges of Managing CoreFx Repo -- Karel ZikmundKarel Zikmund
NDC London 2020 conference in London, UK - 2020/1/29
Talk: Challenges of Managing CoreFx Repo by Karel Zikmund
https://sessionize.com/s/karel-zikmund/archived-challenges-of-managing-corefx-repo/24173
https://www.youtube.com/watch?v=zLB2_h-3ZS4
NDC Sydney 2019 - Async Demystified -- Karel ZikmundKarel Zikmund
NDC Sydney 2019 conference in Sydney, AU - 2019/10/15
Talk: War stories from .NET team by Karel Zikmund
https://sessionize.com/s/karel-zikmund/async-demystified/24175
https://www.youtube.com/watch?v=TgUYcZV-foM
.NET Core Summer event 2019 in Vienna, AT - .NET 5 - Future of .NET on Mobile...Karel Zikmund
.NET Core Summer event, 2019 in Vienna, AT - 2019/7/4
Talk: .NET 5 - Future of .NET on Mobile by Alexander Köplinger
https://www.meetup.com/dotnet-austria/events/262250140/
.NET Core Summer event 2019 in Linz, AT - War stories from .NET team -- Karel...Karel Zikmund
.NET Core Summer event, 2019 in Linz, AT - 2019/7/23
Talk: War stories from .NET team by Karel Zikmund
https://www.meetup.com/NET-Stammtisch-Linz/events/261637908/
.NET Core Summer event 2019 in Brno, CZ - War stories from .NET team -- Karel...Karel Zikmund
.NET Core Summer event, 2019 in Brno, CZ - 2019/7/9
Talk: War stories from .NET team by Karel Zikmund
https://www.wug.cz/brno/akce/1152--NET-Core-Summer-Event
.NET Core Summer event 2019 in Vienna, AT - War stories from .NET team -- Kar...Karel Zikmund
.NET Core Summer event, 2019 in Vienna, AT - 2019/7/4
Talk: War stories from .NET team by Karel Zikmund
https://www.meetup.com/dotnet-austria/events/262250140/
.NET Core Summer event 2019 in NL - War stories from .NET team -- Karel ZikmundKarel Zikmund
.NET Core Summer event, 2019 in Veenendaal, NL - 2019/6/22
Talk: War stories from .NET team by Karel Zikmund
https://www.dncse.nl/sessions/session2-3-2/
NDC Oslo 2019 - War stories from .NET team -- Karel ZikmundKarel Zikmund
NDC Oslo 2019 conference in Oslo, NO - 2019/6/21
Talk: War stories from .NET team by Karel Zikmund
https://sessionize.com/s/karel-zikmund/war-stories-from-.net-team/24172
https://www.youtube.com/watch?v=ntGBRi_I3MM
DotNext 2017 in Moscow - Challenges of Managing CoreFX repo -- Karel ZikmundKarel Zikmund
DotNext 2017 conference in Moscow, RU - 2017/11/12
Talk: Challenges of Managing CoreFX repo by Karel Zikmund
http://2017.dotnext-moscow.ru/en/2017/msk/talks/5egbw8vnbkqmmg2skiaey2/
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
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.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
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
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.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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/
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
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
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
#AIFusionBuddyComparison,
#AIFusionBuddyInstallation,
#AIFusionBuddyRefundPolicy,
#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
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.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
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/
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).
10. Networking – Sockets perf results
• Micro-benchmark only (disclaimer: Netty/Go impl may be inefficient)
• Linux 2 CPUs
1,000x RPS 1 B 16 B 256 B 4 KB
.NET Core 370 369 384 198
Netty 527 540 454 124
Go 517 531 485 210
GB/s 256 B 4 KB 64 KB 1 MB
.NET Core 0.09 0.77 1.09 1.10
Netty 0.11 0.48 0.66 0.67
Go 0.12 0.82 1.10 1.11
11. Networking – Sockets perf results
• Micro-benchmark only (disclaimer: Netty/Go impl may be inefficient)
• Linux 2 CPUs GB/s 256 B 4 KB 64 KB 1 MB
.NET Core 0.09 0.77 1.09 1.10
Netty 0.11 0.48 0.66 0.67
Go 0.12 0.82 1.10 1.11
SSL - GB/s 256 B 4 KB 64 KB 1 MB
.NET Core 0.04 0.31 0.71 0.87
Netty 0.03 0.12 0.15 0.15
Go 0.06 0.56 0.98 1.12
12. Networking – Sockets perf on Server
• Kestrel server uses libuv -> Sockets prototypes
• Early prototype (with hacks):
• 7% improvement + more potential
• Recent prototype (very preliminary data):
• 15% worse on Linux
• 20% worse on Windows
• Workarounds in Sockets -> parity with libuv perf
• Investigation in progress
13. Networking – ManagedHandler perf
• ManagedHandler
• Very early development stage
• Bugs
• Missing large features – authentication, proxy, http2
• Early measurements (simple http micro-benchmark):
• Windows: Parity with Go
• Linux: 15% gap (pending investigation)
14. Networking – SSL perf
• Historical reports on some .NET Framework scenarios: 2x slower
• Linux .NET Core 2.0 app report 4x slower
• libcurl+HttpClient pattern limitation
• With workaround: 14% overhead of SSL
• TechEmpower benchmark
• http vs. https larger diff than Rust/Go/Netty
• Sockets micro-benchmarks – 23% gap
• Attempt for rewrite by community (@drawaes)
• Next steps: Measure & analyze micro-benchmarks & end-to-end scenarios
15. Networking – Industry benchmarks
• TechEmpower benchmark
• More end-to-end, with DB, etc.
• Useful for overall platform performance comparison
• Round 15 (preliminary data)
• ASP.NET Core at #5 entry (jump from #14 in Round 14)
16. Importance of Performance
Platform performance shows how fast your app could be
… but it is not everything:
• Productivity
• Tooling
• Developer availability (in-house/to hire)
• Documentation
• Community
• etc.
17. Application Performance Tips
• Plan for performance during design
• Understand scenario, set goals
• Prototype and measure early
• Optimize what’s important – measure
• Understand the big picture
• Avoid micro-optimizations
• Don’t guess root cause – measure
• Minimize repro – it’s worth it!
18. BCL Performance
• Fine-tuned over 15 years
• Opportunities are often trade-offs (memory vs. speed, etc.)
• Problem: Identify scenarios which matter
• OSS helps
• More eyes on code
• Motivated contributors
• More reports
• Perf improvements in .NET Core (.NET blog by Stephen Toub)
• Collections, Linq, Compression, Crypto, Math, Serialization, Networking
• Span<T> sprinkled in BCL
19. BCL Performance – What to not take?
• Specialized collections
• BCL designed for usability and decent perf for 95% customers
• Code complexity (maintainability) vs. perf wins
• APIs for specialized operations (e.g. to save duplicate lookup)
• Creates complexity
• May leak implementation into API surface
20. Wrap Up
• Proactive investments into .NET Networking stack
• Consistency across platforms
• Great performance for all workloads
• Ongoing scenario/feedback-based improvements in BCL perf
• Performance in general is:
• Important
• But not the only important thing
• Tricky to get right in the right place
Editor's Notes
Client stack
HttpWebRequest since .NET 1.0
Exceptions on errors (404)
Headers as strings (parsing) – error prone
4.5 added HttpClient, driven by WCF
Pipeline architecture (extensibility)
No http2 support
Original plan to later re-wire HttpClient directly on fundamentals – turns out it is huge compat work and will likely never happen (compat is king on .NET Framework)
Missing APIs from the picture:
Fundamentals: NetworkingInfo, Uri
FtpWebRequest, FileWebRequest
Mail on Sockets & SslStream – now obsoleted (MailKit recommended)
WebSockets on HttpWebRequest & Sockets & websockets.dll (Win8+)
HttpListener (server) – now obsoleted by Kestrel
UWP:
WinRT APIs designed by Windows Networking team at he same time as 4.5 – almost 1:1 mapping
win9net.dll is client library - http2 support
.NET Core:
http2 support – server library
HttpWebRequest for compatibility in .NET Core 2.0 (.NET Standard 2.0), but “obsoleted”
Other “obsoleted” in 2.0: *WebRequest & Mail & HttpListener
libcurl with NSS, not just OpenSSL
Different behaviors on different OS’s or even Linux distros – inconsistencies in behavior
WebSocket = ManagedWebSocket on Win7 & Linux/Mac (With mini ManagedHandler on Sockets)
Note: Attempt to ship WinHttpHandler also for .NET Framework as System.Net.Http.dll (http2 on Desktop) – ambition to replace inbox failed due to differences
Key values: Consistency and Perf wins
Mono has OS-specific handlers (Phone OS specific capabilities around connection transition between data and Wi-Fi)
Foundation – performance (& reliability)
Usable for both server and client scenarios
Web stack – consistency & performance (& reliability)
Important for middleware scenarios (not just 1 server)
Emerging technologies – new protocols, capabilities and performance motivated
RIO = Registered I/O (Win8+)
QUIC = Quick UDP Internet Protocol (TCP/TSL replacement) … Latency improvements (esp. for streaming)
Maintenance components – minimal investments – mostly for reliability and the most necessary standards support (preserve customers’ investments)
Repeatability
Non-networking micro-benchmarks – time (wallclock), memory … classic CLR perf lab disables many OS features
Cloud (Azure) attempt
You want: Full control
Column is payload size (1B -> 1MB, each column is 16x bigger than previous one)
Note: RPS as metric in second table better tells the story of scaling based on payload size
Go has assembly-written crypto
Note: .NET Core 1.1 was at 0.47 GB/s at 1MB – 2x improvement in 2.0 and 2.1 (=future)
Sockets value: Consistency & less external dependency
Early prototype – Hacks around response buffering in Kestrel – flushing tuned for libuv
Recent prototype (1 week old) – Workarounds point to potential perf improvements
Known fact: SslStream class could use some love
Note: ManagedHandler https: 7% slower than CurlHandler (without Ssl)
Feature across Language (C# compiler), Runtime (incl. JIT), and BCL
Value is not perf on its own – unsafe code can be faster (up to 25% on micro-benchmarks)
But not universal for Native memory
Pinning memory
Example of not everything is black and white … clearly better perf, often trade offs
See black line – regressions from Span<T> and recovering back perf
Warning: Not everyone is truly building hyper-scale service
Even if you think you are, don’t forget that most scaling apps are rewritten every 2-3 years
You don’t have to be perfect on day 1, evolve
Story: Trading SW
.NET for productivity (over C++ proposal)
Later perf
More and more serious
Down to sub-ms GCs, reusing memory
Rewriting key components to native eventually
Note: .NET can be faster than C++ in certain workloads (e.g. allocations in Gen0 are super efficient)
Real app startup (demo app in both C++ and C#)
Optimize what’s important:
90-10 rule (95-5) … what contributes to app performance
Story: Arguing over d.s. List vs. array when the data is <100 items and the service has 3 hops between servers
Guess root cause mistakes:
Conclusions based on 1 dump (or 2 in better case)
Blaming platform:
Lots of memory used by app => it must be GC bug … if there is no mem pressure on OS, GC will use it
GC shows happens too often => it must be GC bug … but maybe you just allocate too much and GC is doing what its told
Also in non-performance:
JIT_Throw on callstack => JIT bug … we renamed it to IL_Throw (just throws exception)
Crash during GC => GC bug … corruption is likely from interop / native/unsafe code
BTW: TTD is life saver
Thousands of APIs, hard to pick the right ones
Problem:
Using telemetry from MS/partners, partner teams reports, working closely with customers and community
OSS:
We often ask about the scenario, to understand the big picture
Examples: (quite often 30% and more)
SortedSet<T>.ctor – O(n^2) -> O(n) … 600x on 400K items
List<T>.Add – already fast, but used everywhere
ConcurrentBag/ConcurrentQueue