Daniel Stenberg takes us through how the curl project is doing today. git activity, contributors, committers, mailing list, growth, money and sponsors, his own role and much more. Video here: https://youtu.be/6ueyZGhtj1Q
DataPlotly is a plugin for QGIS that allows to create D3 like plots from spatial data. It is build on top of plotly, a javascript library which offers easy API for many languages such as Python, R, Matlab and NodeJS.
The plugin was created back in 2017 for the upcoming QGIS 3 version: today the plugin has been downloaded more than 50,000 times.
Creating plots is out of the main scopes of QGIS but thanks to the simple Python API it is easy enough to create additional scripts and plugins. Thanks to these APIs, DataPlotly is today a well maintained Python plugin with a growing community of developers, users and testers.
DataPlotly plots are completely interactive so that plot elements are directly linked with map items; therefore the user is able to query map items from the main plot canvas.
Thanks to a crowdfunding campaign launched in March 2019 during the annual QGIS User Conference, the functionalities of DataPlotly were extended: a complete refactoring of the code, more plots but especially the creation of plots in the layout composer.
More and more people are using the plugin to analyze the data and to create complex output reports of data (e.g. the Covid-19 pandemic
GitOps is a paradigm or a set of practices that empowers developers to perform tasks which typically (only) fall under the purview of operations. It’s a way to do Kubernetes cluster management and application delivery by using Git as a single source of truth for declarative infrastructure and applications. Being Git at the center of delivery pipelines, engineers use familiar tools to make pull requests to accelerate and simplify both application deployments and operations tasks to Kubernetes. GitOps software agents (e.g. ArgoCD, Flux and Jenkins X) can alert on any divergence between Git with what’s running in a cluster, and if there’s a difference, Kubernetes reconcilers automatically update or rollback the cluster depending on the case. This talk will include a demo of ArgoCD/Flux/Jenkins X on how to configure and use it to accelerate and simplify application deployments.
Daniel Stenberg takes us through how the curl project is doing today. git activity, contributors, committers, mailing list, growth, money and sponsors, his own role and much more. Video here: https://youtu.be/6ueyZGhtj1Q
DataPlotly is a plugin for QGIS that allows to create D3 like plots from spatial data. It is build on top of plotly, a javascript library which offers easy API for many languages such as Python, R, Matlab and NodeJS.
The plugin was created back in 2017 for the upcoming QGIS 3 version: today the plugin has been downloaded more than 50,000 times.
Creating plots is out of the main scopes of QGIS but thanks to the simple Python API it is easy enough to create additional scripts and plugins. Thanks to these APIs, DataPlotly is today a well maintained Python plugin with a growing community of developers, users and testers.
DataPlotly plots are completely interactive so that plot elements are directly linked with map items; therefore the user is able to query map items from the main plot canvas.
Thanks to a crowdfunding campaign launched in March 2019 during the annual QGIS User Conference, the functionalities of DataPlotly were extended: a complete refactoring of the code, more plots but especially the creation of plots in the layout composer.
More and more people are using the plugin to analyze the data and to create complex output reports of data (e.g. the Covid-19 pandemic
GitOps is a paradigm or a set of practices that empowers developers to perform tasks which typically (only) fall under the purview of operations. It’s a way to do Kubernetes cluster management and application delivery by using Git as a single source of truth for declarative infrastructure and applications. Being Git at the center of delivery pipelines, engineers use familiar tools to make pull requests to accelerate and simplify both application deployments and operations tasks to Kubernetes. GitOps software agents (e.g. ArgoCD, Flux and Jenkins X) can alert on any divergence between Git with what’s running in a cluster, and if there’s a difference, Kubernetes reconcilers automatically update or rollback the cluster depending on the case. This talk will include a demo of ArgoCD/Flux/Jenkins X on how to configure and use it to accelerate and simplify application deployments.
Daniel Stemberg's presentation on how curl works. From the basic command line use, to URLs, options, curl basics into HTTP specifics.
YouTube:
https://youtu.be/V5vZWHP-RqU?si=IkGJdHqvguYLffeG
Talk given by Michael DeHaan and Greg DeKoenigsberg at All Things Open in October 2014, in which we discussed how we applied open source best practices to grow a large and active community of users and developers.
This talk covers how to use PostgreSQL together with the Golang (Go) programming language. I will describe what drivers and tools are available and which to use nowadays.
In this talk I will cover what design choices of Go can help you to build robust programs. But also, we will reveal some parts of the language and drivers that can cause obstacles and what routines to apply to avoid risks.
We will try to build the simplest cross-platform application in Go fully covered by tests and ready for CI/CD using GitHub Actions as an example.
Go GC: Prioritizing Low Latency and SimplicityC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1IPjAIS.
Rick Hudson discusses the motivation, performance, and technical challenges of Go's low latency concurrent GC and why the approach fits Go well. Filmed at qconsf.com.
Rick Hudson is a member of Google’s Go team. Rick has published papers on language runtimes, memory management, concurrency, synchronization, memory models, and transactional memory.
HTTP/3 is designed to improve in areas where HTTP/2 still has some shortcomings, primarily by changing the transport layer. HTTP/3 is the first major protocol to step away from TCP and instead it uses QUIC.
HTTP/3 is the designated name for the coming next version of the protocol that is currently under development within the QUIC working group in the IETF.
HTTP/3 is designed to improve in areas where HTTP/2 still has some shortcomings, primarily by changing the transport layer. HTTP/3 is the first major protocol to step away from TCP and instead it uses QUIC.
Daniel Stenberg does a presentation about HTTP/3 and QUIC. Why the new protocols are deemed necessary, how they work, how they change how things are sent over the network and what some of the coming deployment challenges will be.
There is often a vocabulary gap between designers an developers, who should aim towards a ubiquitous way of conversing about colours, typography, viewport sizes, or the responsive grid system of a digital product… To bridge this gap at the Guardian, we use a CSS pre-processor as a communication enabler through the abstractions it allows us to put in place.
Talk given at re:revelop 2014 in Bournemouth on 22/08/2014: http://redevelop.io/
This is introduction to Git, distributed version control system. You will learn about git history, reasons behind its invention, design considerations, internal structure and see how to use git for your projects.
Hacktoberfest is DigitalOcean’s annual month-long event that encourages everyone to contribute to Open Source throughout the month of October. Hack4Bengal brings you an in-person Hacktoberfest event where you can join the community to learn, explore and contribute!
Kolkata's first-ever Hacktoberfest offline event, hosted by Hack4Bengal. Come and join us as we talk about:
- Open-Source
- Low code and NO code
contributions.
- To become acquainted with open source.
How to do your first PR? (YES, you read that right! Hands-on sessions)
Participate in Hacktoberfest and contribute to various open-source projects.
Is Hacktoberfest over? What happens next?
For more info, join our discord server:
https://discord.gg/ax46tKyn6P
Google BigQuery for Everyday DeveloperMárton Kodok
IV. IT&C Innovation Conference - October 2016 - Sovata, Romania
A. Every scientist who needs big data analytics to save millions of lives should have that power
Legacy systems don’t provide the power.
B. The simple fact is that you are brilliant but your brilliant ideas require complex analytics.
Traditional solutions are not applicable.
The Plan: have oversight over developments as they happen.
Goal: Store everything accessible by SQL immediately.
What is BigQuery?
Analytics-as-a-Service - Data Warehouse in the Cloud
Fully-Managed by Google (US or EU zone)
Scales into Petabytes
Ridiculously fast
Decent pricing (queries $5/TB, storage: $20/TB) *October 2016 pricing
100.000 rows / sec Streaming API
Open Interfaces (Web UI, BQ command line tool, REST, ODBC)
Familiar DB Structure (table, views, record, nested, JSON)
Convenience of SQL + Javascript UDF (User Defined Functions)
Integrates with Google Sheets + Google Cloud Storage + Pub/Sub connectors
Client libraries available in YFL (your favorite languages)
Our benefits
no provisioning/deploy
no running out of resources
no more focus on large scale execution plan
no need to re-implement tricky concepts
(time windows / join streams)
pay only the columns we have in your queries
run raw ad-hoc queries (either by analysts/sales or Devs)
no more throwing away-, expiring-, aggregating old data.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2l2Rr6L.
Doug Daniels discusses the cloud-based platform they have built at DataDog and how it differs from a traditional datacenter-based analytics stack. He walks through the decisions they have made at each layer, covers the pros and cons of these decisions and discusses the tooling they have built. Filmed at qconsf.com.
Doug Daniels is a Director of Engineering at Datadog, where he works on high-scale data systems for monitoring, data science, and analytics. Prior to joining Datadog, he was CTO at Mortar Data and an architect and developer at Wireless Generation, where he designed data systems to serve more than 4 million students in 49 states.
Distributed Deep Learning At Scale On Apache Spark With BigDLYulia Tell
Intel recently released BigDL, an open source distributed deep Learning framework for Apache Spark (https://github.com/intel-analytics/BigDL). It brings native support for deep learning functionalities to Spark, provides orders of magnitude speedup than out-of-box open source DL frameworks (e.g., Caffe/Torch/TensorFlow) with respect to single node Xeon performance, and efficiently scales out deep learning workloads based on the Spark architecture. In addition, it also allows data scientists to perform distributed deep learning analysis on big data using the familiar tools including python, notebook, etc.
In this talk, we will give an introduction to BigDL, show how Big Data users and data scientist can leverage BigDL for their deep learning (such as image recognition, object detection, NLP, etc.) analysis on large amounts of data in a distributed fashion, which allows them to use their Big Data (e.g., Apache Hadoop and Spark) cluster as the unified data analytics platform for data storage, data processing and mining, feature engineering, traditional (non-deep) machine learning, and deep learning workloads.
Daniel Stemberg's presentation on how curl works. From the basic command line use, to URLs, options, curl basics into HTTP specifics.
YouTube:
https://youtu.be/V5vZWHP-RqU?si=IkGJdHqvguYLffeG
Talk given by Michael DeHaan and Greg DeKoenigsberg at All Things Open in October 2014, in which we discussed how we applied open source best practices to grow a large and active community of users and developers.
This talk covers how to use PostgreSQL together with the Golang (Go) programming language. I will describe what drivers and tools are available and which to use nowadays.
In this talk I will cover what design choices of Go can help you to build robust programs. But also, we will reveal some parts of the language and drivers that can cause obstacles and what routines to apply to avoid risks.
We will try to build the simplest cross-platform application in Go fully covered by tests and ready for CI/CD using GitHub Actions as an example.
Go GC: Prioritizing Low Latency and SimplicityC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1IPjAIS.
Rick Hudson discusses the motivation, performance, and technical challenges of Go's low latency concurrent GC and why the approach fits Go well. Filmed at qconsf.com.
Rick Hudson is a member of Google’s Go team. Rick has published papers on language runtimes, memory management, concurrency, synchronization, memory models, and transactional memory.
HTTP/3 is designed to improve in areas where HTTP/2 still has some shortcomings, primarily by changing the transport layer. HTTP/3 is the first major protocol to step away from TCP and instead it uses QUIC.
HTTP/3 is the designated name for the coming next version of the protocol that is currently under development within the QUIC working group in the IETF.
HTTP/3 is designed to improve in areas where HTTP/2 still has some shortcomings, primarily by changing the transport layer. HTTP/3 is the first major protocol to step away from TCP and instead it uses QUIC.
Daniel Stenberg does a presentation about HTTP/3 and QUIC. Why the new protocols are deemed necessary, how they work, how they change how things are sent over the network and what some of the coming deployment challenges will be.
There is often a vocabulary gap between designers an developers, who should aim towards a ubiquitous way of conversing about colours, typography, viewport sizes, or the responsive grid system of a digital product… To bridge this gap at the Guardian, we use a CSS pre-processor as a communication enabler through the abstractions it allows us to put in place.
Talk given at re:revelop 2014 in Bournemouth on 22/08/2014: http://redevelop.io/
This is introduction to Git, distributed version control system. You will learn about git history, reasons behind its invention, design considerations, internal structure and see how to use git for your projects.
Hacktoberfest is DigitalOcean’s annual month-long event that encourages everyone to contribute to Open Source throughout the month of October. Hack4Bengal brings you an in-person Hacktoberfest event where you can join the community to learn, explore and contribute!
Kolkata's first-ever Hacktoberfest offline event, hosted by Hack4Bengal. Come and join us as we talk about:
- Open-Source
- Low code and NO code
contributions.
- To become acquainted with open source.
How to do your first PR? (YES, you read that right! Hands-on sessions)
Participate in Hacktoberfest and contribute to various open-source projects.
Is Hacktoberfest over? What happens next?
For more info, join our discord server:
https://discord.gg/ax46tKyn6P
Google BigQuery for Everyday DeveloperMárton Kodok
IV. IT&C Innovation Conference - October 2016 - Sovata, Romania
A. Every scientist who needs big data analytics to save millions of lives should have that power
Legacy systems don’t provide the power.
B. The simple fact is that you are brilliant but your brilliant ideas require complex analytics.
Traditional solutions are not applicable.
The Plan: have oversight over developments as they happen.
Goal: Store everything accessible by SQL immediately.
What is BigQuery?
Analytics-as-a-Service - Data Warehouse in the Cloud
Fully-Managed by Google (US or EU zone)
Scales into Petabytes
Ridiculously fast
Decent pricing (queries $5/TB, storage: $20/TB) *October 2016 pricing
100.000 rows / sec Streaming API
Open Interfaces (Web UI, BQ command line tool, REST, ODBC)
Familiar DB Structure (table, views, record, nested, JSON)
Convenience of SQL + Javascript UDF (User Defined Functions)
Integrates with Google Sheets + Google Cloud Storage + Pub/Sub connectors
Client libraries available in YFL (your favorite languages)
Our benefits
no provisioning/deploy
no running out of resources
no more focus on large scale execution plan
no need to re-implement tricky concepts
(time windows / join streams)
pay only the columns we have in your queries
run raw ad-hoc queries (either by analysts/sales or Devs)
no more throwing away-, expiring-, aggregating old data.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2l2Rr6L.
Doug Daniels discusses the cloud-based platform they have built at DataDog and how it differs from a traditional datacenter-based analytics stack. He walks through the decisions they have made at each layer, covers the pros and cons of these decisions and discusses the tooling they have built. Filmed at qconsf.com.
Doug Daniels is a Director of Engineering at Datadog, where he works on high-scale data systems for monitoring, data science, and analytics. Prior to joining Datadog, he was CTO at Mortar Data and an architect and developer at Wireless Generation, where he designed data systems to serve more than 4 million students in 49 states.
Distributed Deep Learning At Scale On Apache Spark With BigDLYulia Tell
Intel recently released BigDL, an open source distributed deep Learning framework for Apache Spark (https://github.com/intel-analytics/BigDL). It brings native support for deep learning functionalities to Spark, provides orders of magnitude speedup than out-of-box open source DL frameworks (e.g., Caffe/Torch/TensorFlow) with respect to single node Xeon performance, and efficiently scales out deep learning workloads based on the Spark architecture. In addition, it also allows data scientists to perform distributed deep learning analysis on big data using the familiar tools including python, notebook, etc.
In this talk, we will give an introduction to BigDL, show how Big Data users and data scientist can leverage BigDL for their deep learning (such as image recognition, object detection, NLP, etc.) analysis on large amounts of data in a distributed fashion, which allows them to use their Big Data (e.g., Apache Hadoop and Spark) cluster as the unified data analytics platform for data storage, data processing and mining, feature engineering, traditional (non-deep) machine learning, and deep learning workloads.
Daniel Stenberg goes through some basic libcurl fundamentals and API design and explain how easily you can get your first transfers going in your own application. libcurl is the defacto standard library for Internet transfers and runs on virtually all platforms. The language focus will be on C/C++ but the concepts are generally applicable even if you use libcurl bindings for other languages.
Daniel Stenberg discusses some of the most common mistakes users are doing when using libcurl and what to do about them.
Video: https://youtu.be/0KfDdIAirSI
HTTP/3 over QUIC. All is new but still the same!Daniel Stenberg
HTTP/3 is the designated name for the coming next version of the protocol that is currently under development within the QUIC working group in the IETF. HTTP/3 is designed to improve in areas where HTTP/2 still has some shortcomings, primarily by changing the transport layer. HTTP/3 is the first major protocol to step away from TCP and instead it uses QUIC.
Daniel Stenberg does a presentation about HTTP/3 and QUIC. Why the new protocols are deemed necessary, how they work, how they change how things are sent over the network and what some of the coming deployment challenges will be.
HTTP/3 is the designated name for the coming next version of the protocol that is currently under development within the QUIC working group in the IETF.
This time TCP is replaced by the new transport protocol QUIC and things are different yet again!
HTTP/3 is designed to improve in areas where HTTP/2 still has some shortcomings, primarily by changing the transport layer. HTTP/3 is the first major protocol to step away from TCP and instead it uses QUIC. Daniel Stenberg does a presentation about HTTP/3 and QUIC. Why the new protocols are deemed necessary, how they work, how they change how things are sent over the network and what some of the coming deployment challenges will be.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
16. 101 operating systems
@bagder
Syllable OS TPF
Tizen
Symbian Tru64
SunOS tvOS
ucLinux
Genode Hurd
iOS
Integrity
Illumos
HP-UX
HardenedBSD
Haiku
z/OS
Nintendo
Switch
NonStop OS
NetWare
MorphOS MPE/iX MS-DOS
NCR MP-RAS NetBSD
RISC OS
Redox
ReactOS
Sailfish OS SCO Unix Serenity SINIX-Z
Qubes OS
UnixWare WebOS
vxWorks
VMS
Windows
UNICOS
Windows CE
Wii System
Software
AmigaOS Blackberry 10
BeOS
Android
Blackberry
Tablet OS
AIX
Cell OS
Aros
IRIX
RTEMS
Mbed Micrium
macOS
Mac OS 9
Linux Lua RTOS
eCOS
FreeRTOS
FreeBSD
FreeDOS
Fuchsia
DragonFly
BSD
ROS
Cisco IOS
OpenBSD
OS/2 OS/400
Ultrix
ipadOS
NuttX
Solaris
Xbox
System
Chrome OS
MINIX
Garmin OS
QNX
PlayStation
Portable
Plan 9
OS21
OpenStep
Orbis OS
z/TPF
z/VM z/VSE Operating systems known to have run curl
Atari FreeMiNT
DR DOS
Sortix
Zephyr
watchOS
Xenix
DG/UX
ArcaOS
Wii U
SkyOS
Wear OS
Meego
Maemo Moblin
NextStep
CheriBSD
30. @bagder
C!
Efficient and portable!
Some security problems could be avoided using something
else
Lots of “reach” would also be avoided
Mitigations: readable code, reviews, tests, fuzzing, static
code analyzing
53. Top-20 curl authors
last twelve months
855 Daniel Stenberg
222 Stefan Eissing
209 Viktor Szakats
148 Dan Fandrich
73 Jay Satiro
20 Patrick Monnerat
14 Emanuele Torre
11 Evgeny Grin (Karlson2k)
11 Nicholas Nethercote
8 Marcel Raad
7 Michał Antoniak
6 Christian Schmitz
6 Karthikdasari0423
6 Loïc Yhuel
6 dependabot[bot]
5 Graham Campbell
5 Philip Heiduck
5 Richard Levitte
4 Daniel Gustafsson
4 Jacob Hoffman-Andrews
@bagder
54. Retention
Out of the all-time top-20 authors
13 authored commits within the last 12 months
17 authored commits within the last 24 months
@bagder
55. The curl committers last 12 months
1359 Daniel Stenberg
217 Viktor Szakats
139 Dan Fandrich
109 Jay Satiro
6 Marcel Raad
3 Daniel Gustafsson
3 Marc Hoersken
2 Michael Kaufmann
2 Stefan Eissing
@bagder
62. surviving authors right now
628 individual authors
89 single-line authors
99 have more than 100 lines
14 have more than 1,000 lines
3 have more than 10,000 lines
right now - will of course change
@bagder
1 Daniel Stenberg: 80555 (42.07%)
2 Stefan Eissing: 32296 (16.87%)
3 Yang Tse: 10345 (5.40%)
4 Patrick Monnerat: 8862 (4.63%)
5 Steve Holme: 8491 (4.43%)
6 Jay Satiro: 3737 (1.95%)
7 Viktor Szakats: 2819 (1.47%)
8 Nikos Mavrogiannopoulos: 1993 (1.04%)
9 Dan Fandrich: 1665 (0.87%)
10 Pavel Raiskup: 1239 (0.65%)
11 Jan Venekamp: 1086 (0.57%)
12 Nick Zitzmann: 1056 (0.55%)
13 Stephen Farrell: 1023 (0.53%)
14 Marc Hoersken: 1015 (0.53%)
15 Marcel Raad: 957 (0.50%)
16 Evgeny Grin (Karlson2k): 952 (0.50%)
17 Bill Nagel: 897 (0.47%)
18 Max Mehl: 886 (0.46%)
19 Gilles Vollant: 774 (0.40%)
20 Michael Kolechkin: 752 (0.39%)
64. The 18 in the GitHub curl org
Björn Stenberg
Dan Fandrich
Daniel Gustafsson
Daniel Stenberg
Gisle Vanem
Jakub Zakrzewski
@bagder
James Fuller
Jay Satiro
Kamil Dudka
Marc Hörsken
Marcel Raad
Max Dymond
Michael Kaufmann
Nick Zitzmann
Sergei Nikulov
Stefan Eissing
Tatsuhiro Tsujikawa
Viktor Szakats
65. Adding and removing
Idle members (create alumni team without rights?)
What is “idle” ?
New eager contributors?
Vague requirements
Vague responsibilities
@bagder
79. Annual user survey
What is used, what is ignored
What is good, what is bad
What should be added, what should be removed
How are we doing
Will run mid-May 2024
What should we ask users this year?
@bagder
80. curl.se web traffic May 2024
Fastly makes our lives easier - since 2017
454 TB the last 12 months (up from 358 TB)
720 M requests/day on average
Fast web site, close to most users
No ads, no logs, no cookies, no tracking, very little stats
Did I mention Fastly is good?
@bagder
81. Google trends 5-year span, worldwide
@bagder
Includes wget and OpenSSL to provide references with similar projects
Wget OpenSSL curl
Snapshot from April 22 2024
86. @bagder
Finances and sponsors
curl is not a legal entity
Open Collective holds our funds
Daniel is employed by wolfSSL
wolfSSL offers commercial curl services
@bagder
98. @bagder
audits
Trail of Bits performed a security audit of curl's
HTTP/3 components, published in February
Trail of Bits performed a security audit of curl
source code and internals, published in
December 2022.
100. @bagder
everything curl
now under the curl org on GitHub
110,000 words
now self-hosted
https://github.com/curl/everything-curl/issues
101. @bagder
The curl-distros mailing list
Any discussion and subject that helps curl distributors
coordinate, cooperate and enhance curl packaging for end
users are welcome on this list!
107. @bagder
What I think I do for curl
I help keeping the vision – what curl and
libcurl should do
I do curl development and fix problems –
for fun and profit
I support users and developers
experiencing problems or bugs
I review code and suggestions
I’m guiding the architecture of existing
and future features
I document how things work and should
work
I inform project members and the
outside world about news and things we
work on
I aim to master the protocols curl works
with
I admin and host the web site, mailing list
and random services
I often serve as a public face for the
project. It is sometimes said to be “mine”
(it isn’t)
I talk about the project publicly
109. BDFL
Benevolent Dictator For Life
I am a dictator of sorts
I want to make decisions and act on them based on consensus
When possible
For life?
@bagder
111. Everything will be networked
If it isn’t powered now, it will be soon
If it is powered, it will be networked
If it is networked, it needs Internet access
If it needs Internet access, curl can help
@bagder
@bagder