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dataplusweb-blog · 2 years ago

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Dataiku : tout savoir sur la plateforme d'IA "made in France"

Dataiku :

tout savoir sur la plateforme d'IA "made in France"

Antoine Crochet-Damais

JDN

Dataiku est une plateforme d'intelligence artificielle créée en France en 2013. Elle s'est imposée depuis parmi les références mondiales des studios de data science et de machine learning.

SOMMAIRE

Dataiku, c’est quoi ?

Dataiku DSS, qu'est-ce que c'est ?

Quelles sont les fonctionnalités de Dataiku ?

Quel est le prix de Dataiku ?

Qu’est-ce que Dataiku Online ?

Dataiku Academy : formation / certification

Dataiku vs DataRobot

Dataiku vs Alteryx

Dataiku vs Databricks

Dataiku Community

Dataiku, c’est quoi ?

Dataiku est une plateforme de data science d'origine française. Elle se démarque historiquement par son caractère très packagé et intégré. Ce qui la met à la portée aussi bien des data scientists confirmés que débutants. Grâce à son ergonomie, elle permet de créer un modèle en quelques clics, tout en industrialisant en toile de fonds l'ensemble de la chaine de traitement : collecte, préparation des données…

Co-fondée en 2013 à Paris par Florian Douetteau, son CEO actuel, et Clément Stenac (tous deux anciens d'Exalead) aux côtés de Thomas Cabrol et Marc Batty, Dataiku affiche une croissance fulgurante. Dès 2015, la société s'implante aux Etats-Unis. Après une levée de 101 millions de dollars en 2018, Dataiku boucle un tour de table de 400 millions de dollars en 2021 pour une valorisation de 4,6 milliards de dollars. L'entreprise compte plus de 1000 salariés et plus de 300 clients parmi les plus grands groupes mondiaux. Parmi eux figurent les sociétés françaises Accor, BNP Paribas, Engie ou encore SNCF.

Dataiku DSS, qu'est-ce que c'est ?

Dataiku DSS (pour Dataiku Data Science Studio) est le nom de la plateforme d'IA de Dataiku.

Quelles sont les fonctionnalités de Dataiku ?

La plateforme de Dataiku compte environ 90 fonctionnalités que l'on peut regrouper en plusieurs grands domaines :

L'intégration. La plateforme s'intègre à Hadoop, Spark, mais aussi aux services des clouds AWS, Azure, Google Cloud. Au total, la plateforme est équipée de plus de 25 connecteurs.

Les plugins. Une galerie de plus de 100 plugins permet de bénéficier d'applications tierces dans de nombreux domaines : traduction, NLG, météo, moteur de recommandation, import/export de données...

La data préparation / data ops. Une console graphique gère la préparation des données. Les time series et données géospatiales sont supportées. Plus de 90 data transformers prépackagés sont disponibles.

Le développement. Dataiku prend en charge les notebooks Jupyter, les langages Python, R, Scala, SQL, Hive, Pig, Impala. Il supporte PySpark, SparkR et SparkSQL.

Le machine Learning. La plateforme inclut un moteur d'automatisation du machine learning (auto ML), une console de visualisation pour l'entrainement des réseaux de neurones profonds, le support de Scikit-learn et XGBoost, etc.

La collaboration. Dataiku intègre des fonctionnalités de gestion de projet, de chat, de wiki, de versioning (via Git)...

La gouvernance. La plateforme propose une console de monitoring des modèles, d'audit, ainsi qu'un feature store.

Le MLOps. Dataiku gère le déploiement de modèles. Il prend en charge les architecture Kubernetes mais aussi les offres de Kubernetes as a Service d'AWS, Azure et Google Cloud.

La data visualisation. Une interface de visualisation statistique est complétée par 25 graphiques de data visualisation pour identifier les relations et aperçus au sein des jeux de données.

Dataiku est conçu pour gérer graphiquement des pipelines de machine learning. © JDN / Capture

Quel est le prix de Dataiku ?

Dataiku propose une édition gratuite de sa plateforme à installer soi-même. Baptisée Dataiku Free, elle se limite à trois utilisateurs, mais donne accès à la majorité des fonctionnalités. Elle est disponible pour Windows, Linux, MacOS, Amazon EC2, Google Cloud et Microsoft Azure.

Pour aller plus loin, Dataiku commercialise trois éditions dont les prix sont disponibles sur demande : Dataiku Discover pour les petites équipes, Dataiku Business pour les équipes de taille moyenne, et Dataiku Enterprise pour déployer la plateforme à l'échelle d'une grande entreprise.

Qu’est-ce que Dataiku Online ?

Principalement conçu pour de petites structures, Dataiku Online permet de gérer les projets de data science à une échelle modérée. Il s’agit d’un dispositif de type SaaS (Software as a Service). Les fonctionnalités sont similaires à Dataiku, mais le paramétrage et le lancement de l’application sont plus rapides.

Dataiku Academy : formation et certification Dataiku

La Dataiku Academy regroupe une série de formations en ligne à la plateforme de Dataiku. Elle propose un programme Quicks Start qui permet de commencer à utiliser la solution en quelques heures, mais aussi des sessions Learning Paths pour acquérir des compétences plus avancées. Chaque programme permet de décrocher une certification Dataiku : Core Designer Certificate, ML Practitioner Certificate, Advanced Designer Certificate, Developer Certificate et MLOps Practitioner Certificate.

Dataiku prend en charge les time series et données géospatiales. © JDN / Capture

Dataiku vs DataRobot

Créé en 2012, l'américain DataRobot peut être considéré comme le pure player historique du machine learning automatisé (auto ML). Un terrain sur lequel Dataiku s'est positionne plus tard. Au fur et à mesure de leur développement, les deux plateformes tendent désormais à être de plus en plus comparables.

Face à DataRobot, Dataiku se distingue cependant sur le front de la collaboration. L'éditeur multiplie les fonctionnalités dans ce domaine : wiki, partage de tableaux de bord de résultats, système de gestion des rôles et de traçabilité des actions, etc.

Dataiku vs Alteryx

Alors que Dataiku est avant tout une plateforme de data science orientée machine learning, Alteryx, lui, se positionne comme un solution d'intelligence décisionnelle ciblant potentiellement tout décideur d'entreprise, bien au-delà des équipes de data science.

La principale valeur ajoutée d'Alteryx est d'automatiser la création de tableaux de bord analytics. Des tableaux de bord qui pourront inclure des indicateurs prédictifs basés sur des modèles de machine learning. Dans cet optique, Alteryx intègre des fonctionnalités de machine learning automatisé (auto ML) pour permettre aux utilisateurs de générer ce type d'indicateur. C'est son principal point commun avec Dataiku.

Dataiku vs Databricks

Dataiku et Databricks sont des plateformes très différentes. La première s'oriente vers la data science, la conception et le déploiement de modèles de machine learning. La seconde se présente sous la forme d'une data platform universelle répondant à la fois aux cas d'usage orientés entrepôt de données et BI, data lake, mais aussi streaming de données et calcul distribué.

Reste que Databricks s'enrichit de plus en plus de fonctionnalités orientées machine learning. La société de San Francisco a acquis l'environnement de data science low-code / no code 8080 Labs en octobre 2021, puis la plateforme de MLOps Cortex Labs en avril 2022. Deux technologies qu'elle est en train d'intégrer.

Dataiku Community : tutoriels et documentation

Dataiku Community est un espace d'échange et de documentation pour parfaire ses connaissances sur Dataiku et ses champs d'application. Après inscription, il est possible d'intégrer le forum de discussions.

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hearthandseyes · 6 years ago

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Pixelmator Photo for iPad

This will take awhile to get to the point so if you’re interested, buckle in for a winding, drawn out reason about why I’m not switching to Pixelmator Photo as much as I want to.

I’m an avid Lightroom CC user. I have never used Photoshop, not because I don’t want to but because I’m too stupid.

In the past I was an Aperture user and it never clicked. The catalogue was too confusing to me. Again, stupid. When it was discontinued I switched to Lightroom and have done well with it since. Adobe later released Lightroom Mobile (now the cross-platform Lightroom CC) during the time I had adopted a heavy iPhone/iPad travel workflow and I grew up with the program. Lightroom was straightforward and essentially offers the simple tools that I used in the darkroom- dodging and burning, with digital exposure and color edits. Plus a little more.

I have had a strange fascination with Pixelmator for years. Many times since 2012 I’ve tried to use Pixelmator which is a layers based graphics editor. The price was right and they were an Apple only product that worked to make the most of the Apple hardware. They even released a mobile app with some of the core features. But again it’s a layers based editor and if I couldn’t figure out Photoshop this wasn’t going to help me. I looked often for tutorials to learn the software but they weren’t available like they are for Adobe products.

When Pixelmator Pro for the Mac was being released last year I was fully ready to make an attempt at using it and abandoning Lightroom.

Why would I leave Adobe? I don’t like that I’m boxed into one system. I pay 20 dollars a month for the photography Creative Cloud account with 2 TB of data. I have to be very careful with that catalogue as I go because 2TB isn’t a lot for a full and active catalogue over years, even with mindful archiving. And I’m managing two different photography catalogues- Lightroom and Apple Photos. Finally, the way you import photographs into Lightroom on the iPad or iPhone is plain silly, but that’s really on Apple and we’re not going to get into file management on iOS because that’s a dead horse for now (until some future iOS iteration).

But the big reason was: “minimalism”.

Over 2018 I started doing a deep dive into my life again. A significant breakup, several moves, and a job change made me evaluate everything. I adopted minimalism around 2009 when I started paring down my belongings and moved into a small loft apartment. When I moved to Rhode Island in 2011 I sold almost everything I owned then put an add on Craigslist to come get the rest for free and people swooped in en masse. I kept things lightweight as possible but things creep back in. My digital files were a mess. Papers kept following me around the country. When I lived on the Rez it was like Little House On The Prairie and I bought enough supplies and things to fix anything and felt I needed a lot of comforts. “Things” piled up. Tools, paint, gardening tools, furniture, home gym equipment, entertainment. By late 2016 I was maintaining 3 addresses over 3 states with homes and ‘stuff’ in all of them, a lot of it duplicated. Then I had to pack up all of the places and put them into storage and nothing makes you realize how crazy your life is than rampant disorganization, poor sleep, and putting your hands on every single thing you own. I literally started having recurring dreams about boxes of papers.

While I was traveling I couldn’t manage my physical things but I could manage my finances and digital assets. I was shocked by how many apps and pieces of software I owned or had a subscription to. I made the spreadsheet that showed monthly recurring charges and a lot showed up and were pared down. And this drew my eye to the Adobe subscription. It has jumped up from 9.99 a month to 19.99. 240 dollars a year every year. I can afford it and I use it aggressively but did I need it at that price?

iOS has become my main platform for doing everything. The iPhone alone can do most things you need and when you need the luxury of a bigger screen go to an iPad. When I watch or read reviews of any iPad people talk about how it can’t replace a computer and it makes me nuts. What does anyone do on a computer besides browse the web, shop, message your friends, watch YouTube and Netflix, and check email, and write (in that order)? iOS is fine for 99.99 percent of people except working graphics and video professionals, engineers, architects, and medical professionals (because medical software is the worst on earth and just can’t function on anything except a 12 year old Windows PC). I find working on an iPad is far more efficient than working on a Mac both digitally and physically. The ergonomics of touch with a Smart Keyboard are just better than keyboard and mouse (there is a reason the keyboard is so short- it’s so you can reach the screen easily). I edit photos with a pencil. I manipulate windows and screens like Minority Report. When I want to read something my ‘computer’ turns into a book/magazine/comic book/magical future tablet. I believe that my next Mac upgrade will likely be the last traditional computer I ever buy.

That aside over when I evaluated my tools, a lot of software like Word and Ulysesss, Byword, Simplenote, Evernote and OneNote, were abandoned for free, excellent software that came with my devices. Notes and Pages took over drafting, writing, and note collection. iCloud Drive replaced Dropbox, Music replaced Spotify. It kept everything neat, my data and privacy were secure and organized in one place, and I took the time to master the software. Where I had limped along on Excel for decades, I buckled down and did the full Lynda.com Numbers course and for the first time spreadsheets stopped being mysterious things nerds used to optimize their lives and instead became easily accessible tools that helped me solved real problems. A lot of this was also pushed by many of the privacy concerns arising in digital ecosystems (Facebook, Google, apps sending data out that users are unaware of, etc.).

But besides managing my day to day life and writing what do I use my tech for?

Photography.

Could I get rid of all of these photo editing apps? I adore shooting and editing on my iPhone and I seriously considered selling all of my cameras and becoming an iPhone only photographer. But different working opportunities continue to present themselves and so I kept using ‘real’ cameras and instead focused on addressing the software. Snapseed left. It’s a terrific app but I can do everything in Snapseed with Lightroom, but better. And I don’t trust Google anyway. All of the other silly one off apps disappeared too. They were niche cases and often all I needed was to dig into Lightroom to figure out how to replace them. But could I replace Lightroom with free Apple software?

Aperture was discontinued by Apple in 2015 (and it was definitely not free). The people who fully embraced it loved it, probably in the way people love Final Cut Pro. It was a different beast than their consumer product iPhoto which most people were familiar with and used without issue, mostly for collecting their images but also for doing basic editing. Apple replaced iPhoto with Photos (minimalism) with the emphasis on the iCloud Photos library and cataloguing. But on MacOS they were sneaking some Aperture features in on later releases like curves. It seemed like they were beefing up the Photos app for greater things and these features seemed to be mirrored onto the iOS versions of the app. With the release of the iPad Pro and the Apple Pencil it seemed like any week Apple would release some brushes but they didn’t. Instead you were stuck with very basic global edits (and of course stupid filters) and didn’t even have access to the MacOS features like HSL.

But you could open photos in other apps. Like Pixelmator for iOS. And... it didn’t work. It was a garbage dream and ultimately nothing was able to replace the features I used all the time in Lightroom CC, specifically: editing metadata, the gradient and radial filters, and dehaze. Add to that geometric perspective correction and the fact that on the Mac Lightroom CC was adding in Photoshop/Lightroom Classic features like panoramic merge and more.

When Pixelmator announced they were releasing a photography (vs graphic design) focused app, and that it was for the iPad I was thrilled. I signed up for email updates and trolled the web periodically for information. When it arrived (at the phenomenal price of 4.99) I had already preordered it. I downloaded it and got to work straight away. I love that it uses either Photos or Files for the catalogue (easier to manage and takes out a step used in Lightroom). And that’s it for the good. It uses Machine Learning. They want you to know that. They’ve pushed the hardware in the iPad. I believe it. But their big focus is on automagic edits and cropping, filter presets, and global edits. Honestly I can get that from Photos.app.

There are no brushes, no focal dodging and burning, no radial or gradient filters. It’s 2019, the iPad has this amazing Pencil, and neither Apple nor Pixelmator are taking advantage of it. If I cannot dodge or burn specific areas of a photograph, I am doing worse than I was in the chemical darkroom in 1997.

Photos.app needs to also beef up for me to use Pixelmator, specifically adding brushes and filters and one or the other needs to add the ability to batch edit photos.

In addition they need to add an iPhone app because I often edit only on my phone.

We’ll see what Pixelmator adds in the future. I’m sure I’ll still be paying attention for some reason.

Originally, about 6 months ago, this article was going to be about how I was going to switch from the yearly subscription of Adobe to Pixelmator but every time I tried to move my workflow over with serious photography I stuck with Lightroom CC because the tools are so strong. Without those tools I’m not going to use another photo editor. And I know there are others like Affinity Photo. For some reason I’m not interested. I just had this weird obsession with Pixelmator.

So that leaves me with what this article is about. I started deleting the original version of Pixelmator off of my iOS devices and Mac because I just don’t use it. Pixelmator became the thing to remove. It became an exercise of giving up the goat and not worrying so much about digital minimalism as using a tool that works and I that lets me be an artist. When I’m working professionally I can’t imagine not using Lightroom. And I use Lightroom CC which is considered ‘light’ anyway (but that’s foolish and something I should address later if people want me to). They’ve also recently added the features I wanted like stitching panoramas so for me it’s feature complete. It’s just the duplication of catalogues, online space, and the monthly fee that drive me crazy.

I’ve been making attempts of various strength since 2012 to use versions of Pixelmator and I’m not sure why it has seemed so important to me. I don’t need to use an app that makes global edits to a photo when I need to brighten eyes or increase the contrast in select areas of landscapes. I just need to use Lightroom.

#iPad Pro #Photography #Pixelmator #lightroomcc #Travel Photography #Pixelmator Pro #Apple #Pixelmator Photo #iOS

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rlxtechoff · 2 years ago

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frenesi-de-ideas · 3 years ago

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Bitácora: Metáforas

El ser humano no puede dejar de serlo. La abstracción que las computadoras y el internet significaron solo pudieron ser entendidas cuando los Sistemas Operativos (OS) funcionaban a través de metáforas de la vida real. Repasemos algunas:

Metáfora del escritorio: El escritorio en la computadora contiene una vista rápida de los documentos y archivos que queramos tener a rápido alcance. También puede tener 'widgets', notas, calendarios y los programas que más usamos. Tal y como funciona un escritorio en la vida real.

Metáfora de materialidad: Apple se caracterizó por utilizar está metáfora en el diseño de sus iconos y elementos gráficos. Todo lo que vemos en pantalla son pixeles y, sin embargo, pueden simular una materialidad y una perspectiva prestada de la vida real para hacer amigable a su Sistema Operativo.

Metáfora de funcionalidad: Funcionalidades como el historial o el Time Machine de MacOS son inspiradas en los registros de datos y transacciones que tiene, por ejemplo, una empresa para el historial. O una máquina física del tiempo de esas que se entierran para redescubrirlas en el futuro y para poder ver una parte del pasado. Esa es exactamente la función de Time Machine en MacOS.

Bitáctora #2

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optionkilop · 3 years ago

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Listed below are the main apps that sell themselves on their ability to get the mind sweating, each one reviewed and analysed for your benefit. Using Train of Thought for PC isnt that tough for Mac users.

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With Touch Bar features for MacBook Pro and an intuitive, modern design, it’s easy to learn, play, record. Only problem is, there’s now a heck of a lot of these apps to choose from, and selecting which one to download can sometimes be the trickiest puzzle of all. GarageBand is a fully equipped music creation studio right inside your Mac with a complete sound library that includes instruments, presets for guitar and voice, and an incredible selection of session drummers and percussionists. The popularity of these applications proves that human beings’ thirst for knowledge and mental well-being is still alive and well, as people seek to give their brain a thorough workout through the medium of smart phone technology. Maggiori informazioni By Abdullah Diaa E-mail per le. Every day, we become more dependent on the machines that we created, and it’s easy to condemn the likes of the smart phone for the way in which it transforms so many of us into hunched, shuffling, grunting, zombie-like creatures.īut having your head buried in your phone isn’t always cause for concern, as the brain-training app industry so aptly proves. Apple Silicon è pronta per Thought Train, Rosetta 2 support for Thought Train, Thought Train on M1 Macbook Air, Thought Train on M1 Macbook Pro, Thought Train on M1 Mac Mini, Thought Train on M1 iMac. As the ever-expanding world of technology mercilessly propels forward, people have begun to urge us to stop and smell the electric current.

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dritakeen · 3 years ago

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polhprices · 3 years ago

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UPDATE PLEX MEDIA SERVER SOFTWARE

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UPDATE PLEX MEDIA SERVER MOVIE

(Library) Enabling “Include adult content” option for new Plex Movie libraries could result in incorrect matches.

(Library) Albums/Artists would default to a reverse alphabetical sort (#11779).

(Intro Detection) Ensure temporary files are always deleted.

(Hubs) Some items could show in Continue Watching that fall outside the set window.

(EPG) Channel list could fail to load on certain XMLTV guides.

(DVR) Server would display incorrect times under “Limit Airing Times To” advance recording option (#11362).

(DVR) Would use excessive amount of memory when loading certain XMLTV guide files (#11501).

UPDATE PLEX MEDIA SERVER CODE

(DVR) Fixed an issue where Plex Commercial Skipper would unexpectedly exit with an error code (#11259) (#11151).

(DVR) Corrected typo in Detect Commercials settings description (#11804).

(Analysis) Chapter and index thumbnails would not get re-generated after replacing a file with another with the same filename (#8922).

(Library) Store external ids for items in new Plex Movie libraries.

(Filters) Add ‘trash’ filter to ‘custom filters’ (#11103).

(QNAP) Improve handling of GPU detection on various models.

(QNAP) Improve PlexData network share creation when system has multiple volumes.

(QNAP) Allow PlexData network share permissions to be edited in QTS.

UPDATE PLEX MEDIA SERVER UPGRADE

(Library) Summaries from existing collections could be removed during a movie library upgrade (#11770).(Library) Having multiple movies and subtitles in the same folder would not work correctly with the Plex Movie agent (#11789).plexignore files would not always work as expected (#11770) (DVR) Server would attempt to move recordings that were already moved (#11070).(DVR) Server would attempt to clean up files that were already removed (#11234).(Collections) It was possible for collections to get into a state where you could no longer edit them.(Library) Add language override as advanced setting for new Plex Movie items (#11752).(Library) Certain TV libraries could incorrectly be upgraded to a new Plex Movie library.(Library) When adding new albums, the entire artist isn’t refreshed.(Library) The ‘Albu Artist’ letter jump list could jump to the wrong place (#11493).(Library) Some smart playlists didn’t have composite image.(Library) Shuffling some playlists could fail.(Library) Refresh media analysis for music items.(Library) External music hubs could be slow to load.(Library) Don’t return track results with an artist search match.(DVR) server would sometimes not seek to the desired playback position.(DVR) server would display incorrect times under “Limit Airing Times To” advance recording option.(DVR) Server would sometimes mark a DVR device as dead, even when it is available.(DVR) No content would be returned under ‘Live TV & DVR -> Browse’ when filtered by Episode -> Sport for XMLTV content (#11268).(DVR) Manually added DVRs or those that do not respond to SSDP searches may disappear in Server DVR Settings.(Library) Improve music searching by allowing artist in album searches, and artist and album in track searches.(Library) Add sort option for Audience Rating in movie libraries.(API) Add path parameter in scanning endpoint to allow partial scan via API.ziet er als volgt uit: Plex Media Server 1. Het programma is gratis te gebruiken en heeft daarnaast PlexPass, een betaalde dienst die toegang tot 'premium features' en eerder tot nieuwe versies geeft. Clientsoftware is beschikbaar voor de eerder genoemde besturingssystemen maar content kan ook worden bekeken op bijvoorbeeld iOS, Android, Google TV en Chromecast.

UPDATE PLEX MEDIA SERVER SOFTWARE

De software kan content serveren aan clients op dezelfde machine, binnen het lokale netwerk of via internet. Plex Media Server is een mediaserver voor Windows, Linux, FreeBSD, macOS en diverse nas-apparaten. Deze versie was eerder al voor houders van de betaalde PlexPass beschikbaar, maar kan inmiddels door iedereen worden gedownload.

#Update plex media server

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tonkivehicle · 3 years ago

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Minecraft pe crafting dead map

MINECRAFT PE CRAFTING DEAD MAP HOW TO

MINECRAFT PE CRAFTING DEAD MAP FOR ANDROID

→ Minecraft 1.18. → Minecraft 1.18.1 Texture Pack Download Links for IOS Devices ←

MINECRAFT PE CRAFTING DEAD MAP FOR ANDROID

→ Minecraft 1.18.1 Texture Pack Download Links for Android Devices ← Hashtags: #turn #Minecraft #Epic #ZOMBIE #APOCALYPSE #Zombie #Apocalypse #Mod #Pack #1.16.5 Game Type: Multiplayer Games, Online Games Supported Devices: Samsung, Xiaomi, Huawei, Oppo, LG, Sony, Iphone, Ipad, Macbook, Tablet, Notebook, Desktop, Laptop, Xbox, PS4, PS5, PSP Supported Operating Systems: Android, IOS, MacOS, Apple OSX, Windows, Linux This is not an adventure map or anything it is basically just a framework to make adventure maps. Minecraft 1.18.1 Texture Pack Date: 18:00:15 Insane Craft Modpack (MCPE) Pocket Edition Minecraft. Minecraft 1.18.1 Texture Pack Downloads: 104842 Info → Cómo CONVERTIR Minecraft en un APOCALIPSIS ZOMBIE ¡Épico! 🧟 Pack de mods Apocalipsis Zombie 1.16.5: → Minecraft 1.18.1 Texture Pack Click here to download – Via Yandex Drive ← Schools Details: Preview 7 hours ago Mcpedl crazy craft addon xbox. → Minecraft 1.18.1 Texture Pack Click here to download – Via Google Drive ← Channel: PvP Maps - MCPE DL Five Nights At Freddys Security Breach Minecraft Map.

MINECRAFT PE CRAFTING DEAD MAP HOW TO

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#Minecraft pe crafting dead map

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telecomgreys · 3 years ago

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Nvidia geforce now chrome

Nvidia geforce now chrome mod#

Nvidia geforce now chrome update#

Nvidia geforce now chrome windows 10#

This extension will allow You to use the GeForce NOW web app on unsupported operating systems by spoofing the user agent string in the request headers, making GeForce NOW think we are using ChromeOS. Ahora, El servicio puede transmitir los juegos a cualquier dispositivo directamente desde este navegador, ya sea en la versión de Windows como en la versión de Mac. Allow the usage of the GeForce NOW web app on unsupported operating systems. Options are good for everyone though of course and we're just here to bring the tips. In a press conference, Nvidia revealed that 80 of GeForce Now’s four million registered users are below the minimum specifications for gaming on a local machine. Nvidia GeForce Now ya es compatible con Chrome y los Macs M1 Nvidia añade a GeForce Now algunas características muy esperadas, como es la compatibilidad con el navegador Google Chrome.

Nvidia geforce now chrome mod#

A mod on the community GFN Reddit did indicate this looks like the direction NVIDIA are going (having it in the browser), to open it up to more. As expected, this is exclusive to Chrome but also only works on Windows and macOS devices.

Nvidia geforce now chrome update#

You can now game at a 1440p resolution and 120Hz refresh rate when using Nvidia GeForce Now in both Google Chrome and Microsoft. Download GeForce Now for your Windows, Mac, SHIELD TV, or Android device and start playing instantly. Update 1/29: In a changelog quietly posted this week, Nvidia announced that GeForce Now has launched for Chrome browsers. Más específicamente, el equipo verde ha habilitado la capacidad de transmitir sus juegos a una resolución de 1440p a 120 fps, cuando usa Google Chrome o Microsoft Edge. Obviously, at this point NVIDIA are not supporting the Linux desktop with GeForce NOW in any way and it could break any time - so keep that in mind. Nvidia GeForce Now gets a boost on Google Chrome and Microsoft Edge. Al iniciar sesión en su cuenta Nvidia GeForce Now, siempre que tenga una membresía RTX 3080, ahora tendrá más opciones disponibles para ajustar su calidad de transmisión. Stadia feels much tighter as a system and platform but GeForce NOW has the big benefit of games being available locally on your system as you "own" them as well as streaming them which Stadia does not, Stadia can only stream the games.

Nvidia geforce now chrome windows 10#

On GeForce NOW, it's clearly Windows machines in the cloud to the point of hearing the Windows 10 ping sound when you click around as it doesn't let you. The integration also feels far weaker than Stadia, which is a proper platform. However, if you wish to play past 1 hour, you have to pay a monthly subscription. NVIDIA GeForce NOW is quite different to Stadia, in that it uses games you have in your library across Steam, Origin, Ubisoft, Epic Games and more. Input was responsive and the picture quality was really good. Surprisingly it did actually work really well. Well, how about that? Another barrier broken down for Linux gaming fans. YouTube videos require cookies, you must accept their cookies to view.

#Nvidia geforce now chrome

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greysbutton · 3 years ago

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Eazydraw 8.5 2 wont start on mac os 10.14

EAZYDRAW 8.5 2 WONT START ON MAC OS 10.14 HOW TO

EAZYDRAW 8.5 2 WONT START ON MAC OS 10.14 MAC OS

Monterey, Apple Silicon - M1 processor For the full macOS journey from Jaguar (OS X version 10.2 running Motorola 32 bit code) to Monterey (macOS 12 running native on Apple Silicon) on wide gamut color screens, EazyDraw has been the premier vector drawing App on macOS. I already tried to solve it by removing some old applications that I did not use, I did a fresh reinstallation of the OS, I tried to restart the system in Safe mode, and I reset the SMC. Draw your signature with EazyDraw's freehand tool. For the full journey from Jaguar to Mojave (macOS 10.14), EazyDraw has been.

EAZYDRAW 8.5 2 WONT START ON MAC OS 10.14 MAC OS

EAZYDRAW 8.5 2 WONT START ON MAC OS 10. When you have acquired a compatible ROM file, rename it Mac OS ROM. Best do that in Finder Info for the file. From the report I could spot some issues, but would like to get some useful tips that will resolve the problem. JetBrains WebStorm 2019.1 (Win/macOS) 195/249 Mb WebStorm brings you smart. Visit our official website and click on either of the 'Download BlueStacks 4' buttons, as shown below. I run Etrecheck and am attaching here the report. Productions for Commodore 64/128 and Amiga, Apple II series, Macintosh. After granting the access it's possible to change Startup and Shutdown settings to the previous values. I am pretty disappointed of this computer and thinking to switch back to Windows (after 8 years of being with Apple) since I can't work in these conditions. However, we have no difficulty using a hard disk if we load the DESKTOP INF file. Change configuration of all available virtual machines in Options > 'Startup and Shutdown' to 'Start up and shut down manually' Th en restart the Mac and after the restart start Parallels Desktop again. The system crash problem has become now too frequent (about 10 times a day), and I wonder if the problem is software or hardware. The system then restarts giving the message in many languages saying that there was a problem and it had to be restarted c) occasionally, with the lid open, when the screen is off because of a period of inactivity, after pressing any key (usually I press fn, control, option or shift). This problem is present since more than one year and is very annoying.Ģ) The system crashes in three situations: a) after I close and re-open the lid (after a period of inactivity of hours or even minutes) b) after opening the lid and restarting the system, it stays on for 1-2 minutes, and then again it crashes with an audible noise that comes from the fan. When you add the ISO file to the virtual.

EAZYDRAW 8.5 2 WONT START ON MAC OS 10.14 HOW TO

I have the same problem with my MacBook Pro 2019, Intel Core i5, Monterey 12.1:ġ) Touchbar randomly not active or flashing. Eazydraw 8.5 2 wont start on mac os 10.14 how to Eazydraw 8.5 2 wont start on mac os 10.14 mac os x Eazydraw 8.5 2 wont start on mac os 10.14 install This process may not be suitable for installation, so select I will install the operating system later and continue configuring the settings manually.

#Eazydraw 8.5 2 wont start on mac os 10.14

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jimbrownaptoware-blog · 7 years ago

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.NET Core Platform Agnostic Tracing

While working on a project recently I recommended implementing tracing in some components using .NET Event Sources and ETW. The company were using .NET Core and mix of Windows and Linux operating systems. The architecture team were looking for a platform agnsotic solution. ETW can't work on Linux because it's built into the Windows Kernal and also the clue's in the name Event Tracing for Windows.

Setup

I investigated and immediately found out about LTTng which could do everything needed:

tracing event sources

real time tracing

filtering

I bashed together a .NET Core console application that would trace a message using an Event Source and quickly tested it on Windows using an ETW trace viewer tool.

Event Source

using System.Diagnostics.Tracing; namespace ConsoleApp1 { [EventSource(Name = "TestEventSource")] public class TestEventSource : EventSource { public static readonly TestEventSource Current = new TestEventSource(); private TestEventSource() : base() { } public static class Keywords { public const EventKeywords Messages = (EventKeywords)0x1L; } private const int MessageEventId = 1; [Event(MessageEventId, Level = EventLevel.Informational, Message = "{0}", Keywords = Keywords.Messages)] public void Message(string message) { if (this.IsEnabled()) { WriteEvent(MessageEventId, message); } } } }

Main Program

using System; namespace ConsoleApp1 { class Program { static void Main(string[] args) { Console.WriteLine("Running trace event source test app..."); TestEventSource.Current.Message("Hello World!"); TestEventSource2.Current.Message("World Hello!"); } } }

Then I created a Ubuntu.18.04-x64 server in Azure and transferred the application. To build the .NET Core application for Ubuntu I used this command:

dotnet publish -c release -r ubuntu.18.04-x64

To install LTTng I used the following terminal commands:

apt-get install lttng-tools

apt-get install lttng-modules-dkms

apt-get install liblttng-ust-dev

LTTng has great docs here.

Then I installed the .NET Core SDK following these instructions.

Tracing to file storage

Run the following terminal commands:

lttng create jimssession lttng enable-event --userspace --tracepoint DotNETRuntime:EventSource lttng start

In order for this to work I had to enable the DotNETRuntime environment variable COMPlus_EnableEventLog. There are two ways to do this:

1. With the command to run the .NET Core App

COMPlus_EnableEventLog=1 dotnet ./publish/ConsoleApp1.dll

2. Seperately in the terminal and then it stays set

export COMPlus_EnableEventLog=1

Then you can just run your .NET Core app without using the 'dotnet' command:

./publish/ConsoleApp1

To view your trace output I used a tool called Babeltrace. I think this was with the LTTng install so should already be available.

Run these commands in the terminal to view your trace output:

lttng stop Babeltrace lttng-traces/jimssession-20181124-183519

When you initialised the session you will have been notified of this trace output folder path. Your traces should be shown below after executing the Babeltrace command above.

Real-Time Tracing (live-tracing)

For real time tracing I had to use two terminal sessions seeing as I was using one to execute my console application but if you have an application already running on a Linux machine then you wouldn't need to do that.

Here's what I did:

In terminal 1:

lttng create jimssession --live

lttng enable-event --userspace --tracepoint DotNETRuntime:EventSource

In terminal 2:

babeltrace --input-format=lttng-live net://localhost/host/machineName/jimssession

In terminal 1:

lttng start

and execute the app:

./publish/ConsoleApp1

Here's the output:

There are great instructions for this by Pavel Makhov here and you can easily do remote tracing using the --set-url parmater.

Filtering

With ETW you can filter by event source and that's very useful for reducing noise when you're debugging. I was expecting that the enable-event command parameter --tracepoint would be the event source name and to be honest spent a lot of time scratching my head and wondering why nothing was being traced until I figured out the parameter value must be DotNETRuntime:EventSource. Obviously if it were the event source name then filtering would be easy because you would just enable-event for each source you wished to trace. Well it is easy anyway because there is another parameter on the enable-event command --filter. So to filter by event source I was able to do this:

lttng enable-event --userspace --tracepoint DotNETRuntime:EventSource --filter '(EventSourceName == "TestEventSource")'

The filter syntax is well document here.

Using NET Core ILogger

As ILogger is the preferred method for Logging in NET Core I had to investigate the possibility of using this for tracing also. Event Source tracing is supported in NET Core using ILogger through the EventSource provider but there are some pretty extreme limitations. The docs also say "The provider is cross-platform, but there are no event collection and display tools yet for Linux or macOS" - Not true in a way as I was at least able to collect some traces on Linux using LTTng.

For the default setup you can just use logging.AddEventSourceLogger() as documented here or in my case because I was using a console app I had to do this:

using Microsoft.Extensions.DependencyInjection; using Microsoft.Extensions.Logging; namespace ILoggerEventSourceLogging { class ILoggerTestEventSource { private readonly ILogger _logger; public ILoggerTestEventSource(ILogger logger) { _logger = logger; } static void Main(string[] args) { var serviceCollection = new ServiceCollection(); ConfigureServices(serviceCollection); var serviceProvider = serviceCollection.BuildServiceProvider(); var program = serviceProvider.GetService(); program._logger.LogInformation("Hello World"); } private static void ConfigureServices(IServiceCollection services) { services.AddLogging(configure => configure.AddEventSourceLogger()) .Configure(options => options.MinLevel = LogLevel.Information) .AddTransient(); } } }

So I tested this first with my goto ETW trace viewer and I didn't see any output? So I decided seeing as the docs here suggest using the Microsoft PerfView utility (download the exe for here) then I would try that.

I did manage to view my trace output as promised however I wasn't overly satisfied because I'm not a big fan of the PerfView interface:

You can see above that ILogger outputs four traces for each single log statement in your code:

EventSourceMessage

FormattedMessage

Message

MessageJson

Not having any success with my goto ETW trace viewer tool I decided to see if LTTng would capture the events on Linux. It did and here's the output:

First, you can see the four ILogger traces, second there is an error on the 'EventSourceMessage' Exception in Command Processing for EventSource Microsoft-Extensions-Logging: Object reference not set to an instance of an object.

So this suggests to me that the NET Core default EventSource provider does not conform properly to the EventSource format rules.

So to make this work with my goto ETW trace viewer tool and error free with LTTng I had to use a custom provider with ILogger.

Here's what you need:

The logging provider classes I used can be found here:

https://github.com/aspnet/Extensions/tree/master/src/Logging/Logging.EventSource/src

Event Source Logger

using System; using System.Collections.Generic; using System.Diagnostics.Tracing; using System.IO; using System.Linq; using System.Threading; using Microsoft.Extensions.Logging; using Newtonsoft.Json; namespace ILoggerEventSourceLogging { internal class EventSourceLogger : ILogger { private static int _activityIds; private readonly ILoggerEventSource _eventSource; private readonly int _factoryId; internal static readonly LogLevel LoggingDisabled = LogLevel.None + 1; public EventSourceLogger(string categoryName, int factoryId, ILoggerEventSource eventSource, EventSourceLogger next) { CategoryName = categoryName; // Default is to turn off logging Level = LoggingDisabled; _factoryId = factoryId; _eventSource = eventSource; Next = next; } public string CategoryName { get; } private LogLevel _level; public LogLevel Level { get { // need to check if the filter spec and internal event source level has changed and update the loggers level if it has _eventSource.ApplyFilterSpec(); return _level; } set { _level = value; } } // Loggers created by a single provider form a linked list public EventSourceLogger Next { get; } public bool IsEnabled(LogLevel logLevel) { return logLevel >= Level; } public void Log(LogLevel logLevel, EventId eventId, TState state, Exception exception, Func formatter) { if (!IsEnabled(logLevel)) { return; } // See if they want the formatted message if (_eventSource.IsEnabled(EventLevel.Critical, _eventSource.FormattedMessageKeyword)) { var message = formatter(state, exception); _eventSource.FormattedMessage(logLevel, _factoryId, CategoryName, eventId.ToString(), message); } #if !NO_EVENTSOURCE_COMPLEX_TYPE_SUPPORT // See if they want the message as its component parts. if (_eventSource.IsEnabled(EventLevel.Critical, _eventSource.MessageKeyword)) { var exceptionInfo = GetExceptionInfo(exception); var arguments = GetProperties(state); _eventSource.ExceptionMessage(logLevel, _factoryId, CategoryName, eventId.ToString(), exceptionInfo, arguments); } #endif // See if they want the json message if (_eventSource.IsEnabled(EventLevel.Critical, _eventSource.JsonMessageKeyword)) { var exceptionJson = "{}"; if (exception != null) { var exceptionInfo = GetExceptionInfo(exception); var exceptionInfoData = new[] { new KeyValuePair("TypeName", exceptionInfo.TypeName), new KeyValuePair("Message", exceptionInfo.Message), new KeyValuePair("HResult", exceptionInfo.HResult.ToString()), new KeyValuePair("VerboseMessage", exceptionInfo.VerboseMessage), }; exceptionJson = ToJson(exceptionInfoData); } var arguments = GetProperties(state); _eventSource.MessageJson(logLevel, _factoryId, CategoryName, eventId.ToString(), exceptionJson, ToJson(arguments)); } } public IDisposable BeginScope(TState state) { if (!IsEnabled(LogLevel.Critical)) { return NoopDisposable.Instance; } var id = Interlocked.Increment(ref _activityIds); // If JsonMessage is on, use JSON format if (_eventSource.IsEnabled(EventLevel.Critical, _eventSource.JsonMessageKeyword)) { var arguments = GetProperties(state); _eventSource.ActivityJsonStart(id, _factoryId, CategoryName, ToJson(arguments)); return new ActivityScope(_eventSource, CategoryName, id, _factoryId, true); } else { #if !NO_EVENTSOURCE_COMPLEX_TYPE_SUPPORT var arguments = GetProperties(state); _eventSource.ActivityStart(id, _factoryId, CategoryName, arguments); #else _eventSource.ActivityStart(id, _factoryID, CategoryName); #endif return new ActivityScope(_eventSource, CategoryName, id, _factoryId, false); } } private class ActivityScope : IDisposable { private readonly string _categoryName; private readonly int _activityId; private readonly int _factoryId; private readonly bool _isJsonStop; private readonly ILoggerEventSource _eventSource; public ActivityScope(ILoggerEventSource eventSource, string categoryName, int activityId, int factoryId, bool isJsonStop) { _categoryName = categoryName; _activityId = activityId; _factoryId = factoryId; _isJsonStop = isJsonStop; _eventSource = eventSource; } public void Dispose() { if (_isJsonStop) { _eventSource.ActivityJsonStop(_activityId, _factoryId, _categoryName); } else { _eventSource.ActivityStop(_activityId, _factoryId, _categoryName); } } } private class NoopDisposable : IDisposable { public static readonly NoopDisposable Instance = new NoopDisposable(); public void Dispose() { } } private ExceptionInfo GetExceptionInfo(Exception exception) { var exceptionInfo = new ExceptionInfo(); if (exception != null) { exceptionInfo.TypeName = exception.GetType().FullName; exceptionInfo.Message = exception.Message; exceptionInfo.HResult = exception.HResult; exceptionInfo.VerboseMessage = exception.ToString(); } return exceptionInfo; } private IEnumerable> GetProperties(object state) { var arguments = new List>(); var asKeyValues = state as IEnumerable>; if (asKeyValues != null) { arguments.AddRange(from keyValue in asKeyValues where keyValue.Key != null select new KeyValuePair(keyValue.Key, keyValue.Value?.ToString())); } return arguments; } private string ToJson(IEnumerable> keyValues) { var sw = new StringWriter(); var writer = new JsonTextWriter(sw) { DateFormatString = "O" }; writer.WriteStartObject(); foreach (var keyValue in keyValues) { writer.WritePropertyName(keyValue.Key, true); writer.WriteValue(keyValue.Value); } writer.WriteEndObject(); return sw.ToString(); } } }

Event Source Logger Provider

using System.Diagnostics.Tracing; using Microsoft.Extensions.Logging; namespace ILoggerEventSourceLogging { public class EventSourceLoggerProvider : ILoggerProvider { // A small integer that uniquely identifies the LoggerFactory assoicated with this LoggingProvider. // Zero is illegal (it means we are uninitialized), and have to be added to the factory. private int _factoryId; private LogLevel _defaultLevel; private string _filterSpec; private EventSourceLogger _loggers; private readonly ILoggerEventSource _eventSource; public EventSourceLoggerProvider(ILoggerEventSource eventSource, EventSourceLoggerProvider next = null) { _eventSource = eventSource; Next = next; } public EventSourceLoggerProvider Next { get; } public Microsoft.Extensions.Logging.ILogger CreateLogger(string categoryName) { // need to check if the filter spec and internal event source level has changed and update the _defaultLevel if it has _eventSource.ApplyFilterSpec(); var newLogger = _loggers = new EventSourceLogger(categoryName, _factoryId, _eventSource, _loggers); newLogger.Level = ParseLevelSpecs(_filterSpec, _defaultLevel, newLogger.CategoryName); return newLogger; } public void Dispose() { // Turn off any logging SetFilterSpec(null); } // Sets the filtering for a particular logger provider public void SetFilterSpec(string filterSpec) { _filterSpec = filterSpec; _defaultLevel = GetDefaultLevel(); // Update the levels of all the loggers to match what the filter specification asks for. for (var logger = _loggers; logger != null; logger = logger.Next) { logger.Level = ParseLevelSpecs(filterSpec, _defaultLevel, logger.CategoryName); } if (_factoryId == 0) { // Compute an ID for the Factory. It is its position in the list (starting at 1, we reserve 0 to mean unstarted). _factoryId = 1; for (var cur = Next; cur != null; cur = cur.Next) { _factoryId++; } } } private LogLevel GetDefaultLevel() { var allMessageKeywords = _eventSource.MessageKeyword | _eventSource.FormattedMessageKeyword | _eventSource.JsonMessageKeyword; if (_eventSource.IsEnabled(EventLevel.Informational, allMessageKeywords)) { return _eventSource.IsEnabled(EventLevel.Verbose, allMessageKeywords) ? LogLevel.Debug : LogLevel.Information; } if (_eventSource.IsEnabled(EventLevel.Warning, allMessageKeywords)) { return LogLevel.Warning; } return _eventSource.IsEnabled(EventLevel.Error, allMessageKeywords) ? LogLevel.Error : LogLevel.Critical; } private LogLevel ParseLevelSpecs(string filterSpec, LogLevel defaultLevel, string loggerName) { if (filterSpec == null) { return EventSourceLogger.LoggingDisabled; // Null means disable. } if (filterSpec == string.Empty) { return defaultLevel; } var level = EventSourceLogger.LoggingDisabled; // If the logger does not match something, it is off. // See if logger.Name matches a _filterSpec pattern. var namePos = 0; var specPos = 0; for (; ; ) { if (namePos < loggerName.Length) { if (filterSpec.Length <= specPos) { break; } var specChar = filterSpec[specPos++]; var nameChar = loggerName[namePos++]; if (specChar == nameChar) { continue; } // We allow wildcards at the end. if (specChar == '*' && ParseLevel(defaultLevel, filterSpec, specPos, ref level)) { return level; } } else if (ParseLevel(defaultLevel, filterSpec, specPos, ref level)) { return level; } // Skip to the next spec in the ; separated list. specPos = filterSpec.IndexOf(';', specPos) + 1; if (specPos <= 0) // No ; done. { break; } namePos = 0; // Reset where we are searching in the name. } return level; } private bool ParseLevel(LogLevel defaultLevel, string spec, int specPos, ref LogLevel ret) { var endPos = spec.IndexOf(';', specPos); if (endPos < 0) { endPos = spec.Length; } if (specPos == endPos) { // No :Num spec means Debug ret = defaultLevel; return true; } if (spec[specPos++] != ':') { return false; } var levelStr = spec.Substring(specPos, endPos - specPos); switch (levelStr) { case "Trace": ret = LogLevel.Trace; break; case "Debug": ret = LogLevel.Debug; break; case "Information": ret = LogLevel.Information; break; case "Warning": ret = LogLevel.Warning; break; case "Error": ret = LogLevel.Error; break; case "Critical": ret = LogLevel.Critical; break; default: int level; if (!int.TryParse(levelStr, out level)) { return false; } if (!(LogLevel.Trace <= (LogLevel)level && (LogLevel)level <= LogLevel.None)) { return false; } ret = (LogLevel)level; break; } return true; } } }

Exception Info

namespace ILoggerEventSourceLogging { #if !NO_EVENTSOURCE_COMPLEX_TYPE_SUPPORT [System.Diagnostics.Tracing.EventData(Name = "ExceptionInfo")] #endif public class ExceptionInfo { public string TypeName { get; set; } public string Message { get; set; } public int HResult { get; set; } public string VerboseMessage { get; set; } // This is the ToString() of the Exception } }

Logger Event Source Interface

using System.Collections.Generic; using System.Diagnostics.Tracing; using Microsoft.Extensions.Logging; namespace ILoggerEventSourceLogging { public interface ILoggerEventSource { ILoggerProvider CreateLoggerProvider(); void FormattedMessage(LogLevel level, int factoryId, string loggerName, string eventId, string formattedMessage); void ExceptionMessage(LogLevel level, int factoryId, string loggerName, string eventId, ExceptionInfo exception, IEnumerable<KeyValuePair<string, string>> arguments); void ActivityStart(int id, int factoryId, string loggerName, IEnumerable> arguments); void ActivityStop(int id, int factoryId, string loggerName); void MessageJson(LogLevel level, int factoryId, string loggerName, string eventId, string exceptionJson, string argumentsJson); void ActivityJsonStart(int id, int factoryId, string loggerName, string argumentsJson); void ActivityJsonStop(int id, int factoryId, string loggerName); bool IsEnabled(EventLevel level, EventKeywords keywords); void ApplyFilterSpec(); EventKeywords MetaKeyword { get; } EventKeywords MessageKeyword { get; } EventKeywords FormattedMessageKeyword { get; } EventKeywords JsonMessageKeyword { get; } } }

Event Source

using System.Collections.Generic; using System.Diagnostics.Tracing; using System.Text; using Microsoft.Extensions.Logging; namespace ILoggerEventSourceLogging { [EventSource(Name = "NetCoreLoggerEventSource")] public class NetCoreLoggerEventSource : EventSource, ILoggerEventSource { public static readonly NetCoreLoggerEventSource Current = new NetCoreLoggerEventSource(); #region Keywords public static class Keywords { // The four keywords below are part of the ASPNetCore logging implementation public const EventKeywords Meta = (EventKeywords)8; /// <summary> /// Turns on the 'Message' event when ILogger.Log() is called. It gives the information in a programatic (not formatted) way /// </summary> public const EventKeywords Message = (EventKeywords)16; /// <summary> /// Turns on the 'FormatMessage' event when ILogger.Log() is called. It gives the formatted string version of the information. /// </summary> public const EventKeywords FormattedMessage = (EventKeywords)32; /// <summary> /// Turns on the 'MessageJson' event when ILogger.Log() is called. It gives JSON representation of the Arguments. /// </summary> public const EventKeywords JsonMessage = (EventKeywords)64; } #endregion #region Code for implementing the ASPNet core logging ILoggerEventSource interface internal static readonly LogLevel LoggingDisabled = LogLevel.None + 1; private readonly object _providerLock = new object(); private string _filterSpec; private EventSourceLoggerProvider _loggingProviders; private bool _checkLevel; public ILoggerProvider CreateLoggerProvider() { lock (_providerLock) { var newLoggerProvider = new EventSourceLoggerProvider(this, _loggingProviders); _loggingProviders = newLoggerProvider; // If the EventSource has already been turned on. set the filters. if (_filterSpec != null) { newLoggerProvider.SetFilterSpec(_filterSpec); } return newLoggerProvider; } } public EventKeywords MetaKeyword => Keywords.Meta; public EventKeywords MessageKeyword => Keywords.Message; public EventKeywords FormattedMessageKeyword => Keywords.FormattedMessage; public EventKeywords JsonMessageKeyword => Keywords.JsonMessage; /// <summary> /// FormattedMessage() is called when ILogger.Log() is called. and the FormattedMessage keyword is active /// This only gives you the human reasable formatted message. /// </summary> #region FormattedMessage events public void FormattedMessage(LogLevel level, int factoryId, string loggerName, string eventId, string formattedMessage) { formattedMessage = formattedMessage ?? ""; switch (level) { case LogLevel.Critical: FormattedMessageCritical(factoryId, loggerName, eventId, formattedMessage); break; case LogLevel.Error: FormattedMessageError(factoryId, loggerName, eventId, formattedMessage); break; case LogLevel.Warning: FormattedMessageWarning(factoryId, loggerName, eventId, formattedMessage); break; case LogLevel.Information: FormattedMessageInformational(factoryId, loggerName, eventId, formattedMessage); break; case LogLevel.Debug: case LogLevel.Trace: FormattedMessageVerbose(factoryId, loggerName, eventId, formattedMessage); break; } } private const int FormattedMessageIdCritical = 111; private const int FormattedMessageIdError = 112; private const int FormattedMessageIdWarning = 113; private const int FormattedMessageIdInformational = 114; private const int FormattedMessageIdVerbose = 115; [Event(FormattedMessageIdCritical, Keywords = Keywords.FormattedMessage, Level = EventLevel.Critical, Message = "{3}")] private void FormattedMessageCritical(int factoryId, string loggerName, string eventId, string formattedMessage) { WriteEvent(FormattedMessageIdCritical, factoryId, loggerName, eventId, formattedMessage); } [Event(FormattedMessageIdError, Keywords = Keywords.FormattedMessage, Level = EventLevel.Error, Message = "{3}")] private void FormattedMessageError(int factoryId, string loggerName, string eventId, string formattedMessage) { WriteEvent(FormattedMessageIdError, factoryId, loggerName, eventId, formattedMessage); } [Event(FormattedMessageIdWarning, Keywords = Keywords.FormattedMessage, Level = EventLevel.Warning, Message = "{3}")] private void FormattedMessageWarning(int factoryId, string loggerName, string eventId, string formattedMessage) { WriteEvent(FormattedMessageIdWarning, factoryId, loggerName, eventId, formattedMessage); } [Event(FormattedMessageIdInformational, Keywords = Keywords.FormattedMessage, Level = EventLevel.Informational, Message = "{3}")] private void FormattedMessageInformational(int factoryId, string loggerName, string eventId, string formattedMessage) { WriteEvent(FormattedMessageIdInformational, factoryId, loggerName, eventId, formattedMessage); } [Event(FormattedMessageIdVerbose, Keywords = Keywords.FormattedMessage, Level = EventLevel.Verbose, Message = "{3}")] private void FormattedMessageVerbose(int factoryId, string loggerName, string eventId, string formattedMessage) { WriteEvent(FormattedMessageIdVerbose, factoryId, loggerName, eventId, formattedMessage); } #endregion FormattedMessage events #region ExceptionMessage events [NonEvent] public void ExceptionMessage(LogLevel level, int factoryId, string loggerName, string eventId, ExceptionInfo exception, IEnumerable> arguments) { var message = new StringBuilder(); foreach (var arg in arguments) message.Append($"{arg.Key} - {arg.Value}"); ExceptionMessage(level, factoryId, loggerName, eventId, exception.Message, message.ToString()); } public void ExceptionMessage(LogLevel level, int factoryId, string loggerName, string eventId, string exception, string message) { exception = exception ?? ""; message = message ?? ""; switch (level) { case LogLevel.Critical: ExceptionMessageCritical(factoryId, loggerName, eventId, exception, message); break; case LogLevel.Error: ExceptionMessageError(factoryId, loggerName, eventId, exception, message); break; case LogLevel.Warning: ExceptionMessageWarning(factoryId, loggerName, eventId, exception, message); break; case LogLevel.Information: ExceptionMessageInformational(factoryId, loggerName, eventId, exception, message); break; case LogLevel.Debug: case LogLevel.Trace: ExceptionMessageVerbose(factoryId, loggerName, eventId, exception, message); break; } } private const int ExceptionMessageIdCritical = 121; private const int ExceptionMessageIdError = 122; private const int ExceptionMessageIdWarning = 123; private const int ExceptionMessageIdInformational = 124; private const int ExceptionMessageIdVerbose = 125; [Event(ExceptionMessageIdCritical, Keywords = Keywords.Message, Level = EventLevel.Critical, Message = "{4}")] public void ExceptionMessageCritical(int factoryId, string loggerName, string eventId, string exception, string message) { WriteEvent(ExceptionMessageIdCritical, factoryId, loggerName, eventId, exception, message); } [Event(ExceptionMessageIdError, Keywords = Keywords.Message, Level = EventLevel.Error, Message = "{4}")] public void ExceptionMessageError(int factoryId, string loggerName, string eventId, string exception, string message) { WriteEvent(ExceptionMessageIdError, factoryId, loggerName, eventId, exception, message); } [Event(ExceptionMessageIdWarning, Keywords = Keywords.Message, Level = EventLevel.Warning, Message = "{4}")] public void ExceptionMessageWarning(int factoryId, string loggerName, string eventId, string exception, string message) { WriteEvent(ExceptionMessageIdWarning, factoryId, loggerName, eventId, exception, message); } [Event(ExceptionMessageIdInformational, Keywords = Keywords.Message, Level = EventLevel.Informational, Message = "{4}")] public void ExceptionMessageInformational(int factoryId, string loggerName, string eventId, string exception, string message) { WriteEvent(ExceptionMessageIdInformational, factoryId, loggerName, eventId, exception, message); } [Event(ExceptionMessageIdVerbose, Keywords = Keywords.Message, Level = EventLevel.Verbose, Message = "{4}")] public void ExceptionMessageVerbose(int factoryId, string loggerName, string eventId, string exception, string message) { WriteEvent(ExceptionMessageIdVerbose, factoryId, loggerName, eventId, exception, message); } #endregion ExceptionMessage events #region MessageJson events public void MessageJson(LogLevel level, int factoryId, string loggerName, string eventId, string exceptionJson, string argumentsJson) { exceptionJson = exceptionJson ?? ""; argumentsJson = argumentsJson ?? ""; switch (level) { case LogLevel.Critical: MessageJsonCritical(factoryId, loggerName, eventId, exceptionJson, argumentsJson); break; case LogLevel.Error: MessageJsonError(factoryId, loggerName, eventId, exceptionJson, argumentsJson); break; case LogLevel.Warning: MessageJsonWarning(factoryId, loggerName, eventId, exceptionJson, argumentsJson); break; case LogLevel.Information: MessageJsonInformational(factoryId, loggerName, eventId, exceptionJson, argumentsJson); break; case LogLevel.Debug: case LogLevel.Trace: MessageJsonVerbose(factoryId, loggerName, eventId, exceptionJson, argumentsJson); break; } } private const int MessageJsonIdCritical = 131; private const int MessageJsonIdError = 132; private const int MessageJsonIdWarning = 133; private const int MessageJsonIdInformational = 134; private const int MessageJsonIdVerbose = 135; [Event(MessageJsonIdCritical, Keywords = Keywords.JsonMessage, Level = EventLevel.Critical, Message = "{4}")] private void MessageJsonCritical(int factoryId, string loggerName, string eventId, string exceptionJson, string argumentsJson) { WriteEvent(MessageJsonIdCritical, factoryId, loggerName, eventId, exceptionJson, argumentsJson); } [Event(MessageJsonIdError, Keywords = Keywords.JsonMessage, Level = EventLevel.Error, Message = "{4}")] private void MessageJsonError(int factoryId, string loggerName, string eventId, string exceptionJson, string argumentsJson) { WriteEvent(MessageJsonIdError, factoryId, loggerName, eventId, exceptionJson, argumentsJson); } [Event(MessageJsonIdWarning, Keywords = Keywords.JsonMessage, Level = EventLevel.Warning, Message = "{4}")] private void MessageJsonWarning(int factoryId, string loggerName, string eventId, string exceptionJson, string argumentsJson) { WriteEvent(MessageJsonIdWarning, factoryId, loggerName, eventId, exceptionJson, argumentsJson); } [Event(MessageJsonIdInformational, Keywords = Keywords.JsonMessage, Level = EventLevel.Informational, Message = "{4}")] private void MessageJsonInformational(int factoryId, string loggerName, string eventId, string exceptionJson, string argumentsJson) { WriteEvent(MessageJsonIdInformational, factoryId, loggerName, eventId, exceptionJson, argumentsJson); } [Event(MessageJsonIdVerbose, Keywords = Keywords.JsonMessage, Level = EventLevel.Verbose, Message = "{4}")] private void MessageJsonVerbose(int factoryId, string loggerName, string eventId, string exceptionJson, string argumentsJson) { WriteEvent(MessageJsonIdVerbose, factoryId, loggerName, eventId, exceptionJson, argumentsJson); } #endregion MessageJson events [NonEvent] public void ActivityStart(int id, int factoryId, string loggerName, IEnumerable> arguments) { var message = new StringBuilder(); foreach (var arg in arguments) message.Append($"{arg.Key} - {arg.Value}"); ActivityStart(id, factoryId, loggerName, message.ToString()); } /// <summary> /// ActivityStart is called when ILogger.BeginScope() is called /// </summary> private const int ActivityStartId = 141; [Event(ActivityStartId, Keywords = Keywords.Message | Keywords.FormattedMessage, Level = EventLevel.Informational, ActivityOptions = EventActivityOptions.Recursive, Message = "{3}")] public void ActivityStart(int id, int factoryId, string loggerName, string message) { WriteEvent(ActivityStartId, id, factoryId, loggerName, message); } private const int ActivityStopId = 142; [Event(ActivityStopId, Keywords = Keywords.Message | Keywords.FormattedMessage, Level = EventLevel.Informational, Message = "")] public void ActivityStop(int id, int factoryId, string loggerName) { WriteEvent(ActivityStopId, id, factoryId, loggerName); } private const int ActivityJsonStartId = 143; [Event(ActivityJsonStartId, Keywords = Keywords.JsonMessage | Keywords.FormattedMessage, Level = EventLevel.Informational, ActivityOptions = EventActivityOptions.Recursive, Message = "{3}")] public void ActivityJsonStart(int id, int factoryId, string loggerName, string argumentsJson) { WriteEvent(ActivityJsonStartId, id, factoryId, loggerName, argumentsJson); } private const int ActivityJsonStopId = 144; [Event(ActivityJsonStopId, Keywords = Keywords.JsonMessage | Keywords.FormattedMessage, Level = EventLevel.Informational, Message = "")] public void ActivityJsonStop(int id, int factoryId, string loggerName) { WriteEvent(ActivityJsonStopId, id, factoryId, loggerName); } protected override void OnEventCommand(EventCommandEventArgs command) { lock (_providerLock) { if (command.Command == EventCommand.Update || command.Command == EventCommand.Enable) { string filterSpec; if (!command.Arguments.TryGetValue("FilterSpecs", out filterSpec)) { filterSpec = string.Empty; // This means turn on everything. } SetFilterSpec(filterSpec); } else if (command.Command == EventCommand.Update || command.Command == EventCommand.Disable) { SetFilterSpec(null); // This means disable everything. } } } /// <summary> /// Set the filtering specifcation. null means turn off all loggers. Empty string is turn on all providers. /// </summary> /// [NonEvent] private void SetFilterSpec(string filterSpec) { _filterSpec = filterSpec; // In .NET 4.5.2 the internal EventSource level hasn't been correctly set // when this callback is invoked. To still have the logger behave correctly // in .NET 4.5.2 we delay checking the level until the logger is used the first // time after this callback. _checkLevel = true; } [NonEvent] public void ApplyFilterSpec() { lock (_providerLock) { if (_checkLevel) { for (var cur = _loggingProviders; cur != null; cur = cur.Next) { cur.SetFilterSpec(_filterSpec); } _checkLevel = false; } } } #endregion } }

Main Program

using Microsoft.Extensions.DependencyInjection; using Microsoft.Extensions.Logging; namespace ILoggerEventSourceLogging { class Program { private readonly ILogger _logger; public Program(ILogger logger) { _logger = logger; } static void Main(string[] args) { var serviceCollection = new ServiceCollection(); ConfigureServices(serviceCollection); var serviceProvider = serviceCollection.BuildServiceProvider(); var program = serviceProvider.GetService(); program._logger.LogInformation("Hello World from Jim"); } private static void ConfigureServices(IServiceCollection services) { services.AddLogging(configure => configure.ClearProviders().AddProvider(NetCoreLoggerEventSource.Current.CreateLoggerProvider())) .Configure(options => options.MinLevel = LogLevel.Information) .AddTransient(); } } }

So using this custom log provider I had success and was able to view the traces in my usual ETW trace viewer tool and also on Linux there were now no errors in the output:

and no more errors on Linux with LTTng:

References

http://blogs.microsoft.co.il/sasha/2017/03/30/tracing-runtime-events-in-net-core-on-linux/

https://lttng.org/blog/2018/08/28/bringing-dotnet-perf-analysis-to-linux/

https://lttng.org/

https://lttng.org/docs/v2.10/#doc-lttng-live

https://lttng.org/docs/v2.10/#doc-ubuntu

https://lttng.org/man/1/lttng-enable-event/v2.10/

https://lttng.org/blog/2017/11/22/lttng-ust-blocking-mode/

https://pavelmakhov.com/2017/01/lttng-streaming

https://www.microsoft.com/net/download/linux-package-manager/ubuntu18-04/sdk-current

https://lttng.org/man/1/lttng-enable-event/v2.10/#doc-filter-syntax

http://ctpd.dorsal.polymtl.ca/system/files/TracingSummit2015-LTTngFilteringeBPF.pdf

https://blogs.msdn.microsoft.com/luisdem/2017/03/19/net-core-1-1-how-to-publish-a-self-contained-application

https://docs.microsoft.com/en-us/aspnet/core/fundamentals/logging/?view=aspnetcore-2.1#eventsource-provider

https://www.blinkingcaret.com/2018/02/14/net-core-console-logging/

https://codeblog.dotsandbrackets.com/profiling-net-core-app-linux/

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